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Python vs Java in 2024: Difference Between Java and Python [Full Comparison]

Updated on 21 February, 2024

61.7K+ views
15 min read
Python vs Java

Programming is now the pinnacle of technology which has immensely made several advances that have changed the world. A programming language is a group of commands, instructions, and codes to design a software program. The programming languages used by developers are integral to software development, and this is why they can’t be ignored. Here, we are going to read about a keen comparative analysis between Java or Python which is better and which can be preferred for its remarkable potential. 

Choosing between various programming languages is often a difficult task for developers, let alone choosing between the two industry leaders. Are you also facing one of those dilemmas? This article is a developer’s one-stop-shop for a list of features that they should consider when deciding between Java and Python. 

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Java and Python both have been at war for the top spot. Python has been constantly improving, while Java is used in significant organizations like Uber, Google, Airbnb, and other 10,188 companies prefer Java over Python. Python, on the other hand, is widely used in companies like IBM, Intel, Infosys, Spotify, etc. Python is inclined to be used more by software development companies than others. Both languages do their jobs well, but certain microscopic features differentiate them. In this Python vs Java which is better tutorial, you will learn the fundamental differences between Java and Python to differentiate amid Java or Python which is better for future. Java or Python, both are great technologies, and we will understand them in detail to figure out which is the best option for you. 

Java Vs Python

What are the basic differences between python and java:

Java

Java is an age-old programming language released by Sun Microsystems in the year 1995, which is still prevalent in 2024. Java is a high-level programming language that is similar to C++, but it is strictly a program-oriented language. It is a tool in the tech stack language categories. It was made with the intention of a write-once-run-anywhere language, with zero dependencies or glitches possible. Java is a fast, secured and reliable language that is used everywhere to keep up with our day-to-day chores. 

One of the biggest benefits of Java is it is an easy-to-learn programming language without any hassle of compiling or debugging, unlike other complicated programming languages. Java also helps in allowing users to download untrusted code over a network without any harm, and run it in a secure environment. It will not infect the host system with a virus which makes the program unique.

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Python 

Python is a dynamic, general-purpose programming language. It has been used widely in companies around the world solely focusing to analyse data and automate operations based on DevOps which helps in creating feasible enterprise applications. It is a desirable option for Rapid Application Development, courtesy of its built-in data structures, combined with dynamic typing and binding. Python reduces the cost of program maintenance.

One of the benefits of Python revolves around how the interpreter and resource library is available for free on the internet. Python, therefore, becomes an excellent option for anyone not willing to invest too much in development costs. And, Python has fascinating real-world applications. For example, Python is often used as a support language for software developers which helps in testing as well as building control with adequate management styles. It also helps a great deal to work with project management as well. 

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In the age-long debate of Python vs Java which is better, it could be understood that both software has advantages and disadvantages as well which makes them equally popular languages to be used among organizations. 

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Parameters for Comparison

Considering that both these programming languages are market leaders, a few technical comparisons will shed better light on how they are different from each other. Below are the parameters to consider for a difference between Java and Python. 

Popularity 

Difference between java and python in terms of popularity:

Both languages have always fought for popularity. After the arrival of JavaScript, however, they have been in a close tussle for the best spot. 

In Stackoveer’s 2018 survey of developers, Python was crowned as the fastest-growing programming language after surpassing C++. Java reflected as a popular choice by many developers, even though the gap between both languages had reduced significantly. 

However, as per GitHub’s Octoverse in the year 2021, Java ranked 3rd in the popular most used languages by defeating both JavaScript and Python. In this race of which is better Java or Python, Java has its lead. 

However, according to the 2021 Stackoverflow’s Developer Survey it has been analyzed that more than 48.24% of developers work with Python, whereas only 35.35% of developers still stick to Java. 

In terms of popularity, among which is best Java or Python it can be said that both of these software pose tough competition, and are equally used worldwide. 

Syntax 

Difference between java and python in terms of syntax:

Python is an extremely dynamic language. While typing, the developer doesn’t have to input the variables. These are input during the runtime. This makes Python an easy language, almost similar to English. 

Another element of the ease with the language is that it does not follow indentation rules or enclosing braces. The result is a language that is beginner-friendly and uncomplicated to read. Furthermore, Python is known not to use any enclosing braces or indentations, unlike Java or other tech stack languages. It is convenient for people to write pseudocode. This makes the code a beginner-friendly program, unlike other languages.  

Java is diametrically opposite in this respect. It has very strict syntax rules, where you need to type in all the variables, and should there be an error or anomaly in the code, the program won’t run.

For example, in Java, to define a block or method with multiple lines, we need to put the lines inside of curly brackets. Whereas, Python allows indentation for writing blocks with multiple lines as well. 

Java is not a very beginner-friendly code. On the other hand, Python does not abide by strict syntax rules. However, it totally depends upon the perspective of the developers. If a developer is comfortable with following indentation rules like Java, they are more inclined towards Java. If the developer wants to keep the program to be simple without a lot of variables and anomalies, especially in some large codebases, they can definitely stick to Python. Therefore, in the syntax comparison between Python vs Java which is better, both have taken the lead depending upon the developer’s choice of language. 

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Performance 

Difference between java and python in terms of performance:

Both Java and Python are run by compiling the bytecode and running them on virtual machines. This makes both languages cross-platform, with no operating system differences. It might seem that both have similar performance, but there is a fundamental difference between the two. 

Java is characterized by static-typing syntax. With this kind of syntax, the compilation is a lot easier and faster than dynamic-typed syntax. It is less prone to errors and targets the platforms that it is aimed for better. 

Java also comes with a Just-in-time (JIT) compiler. This device compiles the bytecode into the native machine, because of which the compiled code can be called directly. This function primarily adds to the speed and efficiency of the language. However, Java codes are also quite long and can get difficult to understand. 

Source

For Python, the code is processed during the compile time, and this is when the variables are considered. The code typed in dynamic-type syntax isn’t as agile or verbose to comply with every platform. 

Since Python is tested usually during the runtime, any problem with the program can keep the whole application on hold. All of these variables together have led to reduced efficiency and speed of the language. 

Sometimes, the differences between Java and Python can come out to be very significant. A simple binary tree test, for example, can run ten times faster in Java than in Python. 

As per the August TIOBE Index 2021, it has been understood that Java is one of the best-performing programming languages, putting Python third. However, as per the TIOBE index of August 2022, it has been seen that Python is now an unstoppable language that has now the highest market share of more than 15.42%. Java has ranked for third position after Python and C with a rating of 12.40%. In this race of which is best Java or Python, Python steals the show in 2024.

Machine Learning 

Java vs Python usage in Machine learning:

Machine Learning (ML) is an important aspect of the programming languages because it can derive insights by making predictions with the usage of appropriate datasets. In some cases, the ML algorithms are difficult in terms of implementation, because of the requirements of significant and theoretical with practical expertise in the subject. Let’s learn in terms of a Machine Learning library, which has a widely used language in the case of Java or Python which is better for future. Scikit-learn is one of the most stable learning websites for ML in Python.

Python is syntactically very easy, and therefore people from different backgrounds found it as a comfortable choice. With Python, they were easily able to experiment with machine learning and use it in their respective fields. This is how Python initiated the adaptation of machine learning by many organizations. It because of its history in developing organization-specific machine learning that it has a vast library and resources that are being accessed and developed further. Read more about the python libraries for machine learning.

Java is also considered an option by many. With characteristics such as easy debugging and usage, it is used for large-scale operations and enterprise-level programs. Weka, Mallet, Deeplearning4j, and MOA are the libraries a developer can use for Java.  Java is sometimes considered to be a tad bit outdated in terms of ML because of its complicated syntax, however, it is still a widely used language among developers. 

Therefore, in this aspect of Machine Learning, it can be understood that Python has more credibility than Java taking into account that the question is Python vs Java which is better for future.

Read more: Python Project Ideas and Topics

Game Development Engines 

Java vs Python application in game development engines:

C++/C# is undoubtedly the leader in PC Game development, and both Java and Python cannot compete against it. C# has always provided a seamless user experience to gamers with the best performance. Now, Java or Python particularly is not slow, but they can’t provide the experience C# has been providing so far. 

While answering the most widely asked question which is better Java or Python, Python is better in gaming development than Java. Java is also a good data science language that supports the terms of Big Data. However, Python has the upper hand in gaming development functions because of its low syntax complexities and user-friendly for beginners. Thus, in the case of which is faster Java or Python, Python definitely takes a lead in this one. 

Read more about PyGame: Game development with Python.

Learn more: Python Developer Salary in India

Web Development

In back-end web design, both languages, Java or Python, or both, are utilised. The backend of web design is the area of the process that deals with writing the server-side code. 

It is exceedingly tough to meet all design objectives, from security to dependability and efficiency, while creating your unique backend technology from the beginning using python or java. Because of this, software engineers have produced platforms, which operate as an overlay and let you design your technology without having to start from scratch.

Django and Flask are the two most used Python systems. Flask is a tiny web framework that provides you with essential features, such as request routing, with no extra effort. Django is a more feature-rich alternative that may assist you in creating a strong foundation while maximising productivity and security. Django has a strong ORM layer that makes it easier to work with datasets and execute various operations according to the data. You can easily use python or java, whichever you prefer. 

Language Development and Users

Both programming languages enjoy an active user base around the globe. Python has an active user base that organizes group meets named PyLadies, where women meet and code. This language has a strong community of over 1600 user groups, in more than 37 countries and 191 cities. Let’s discuss about the difference between java and python based on language development and users. 

Python is best suited for the following kinds of programs: 

  1. Games
  2. Image processing and graphic designing 
  3. Language development 
  4. Machine Learning Apps 
  5. Operating Systems 
  6. Prototyping  

On the other hand, there are numerous Java User Groups (JUGs) across the world and various high-profile events like JavaOne are organized by Java Programmers. 

Java is best recommended for these programs: 

  1. Middleware Products 
  2. Mobile Applications 
  3. Enterprise Solutions and Embedded Systems 
  4. Desktop GUI Apps

Java vs Python

Summary of differences between Java and Python:

CHARACTERISTIC  PYTHON JAVA
Syntax Easy to learn and use Complex includes a learning curve
Performance Slower than Java  Relatively fast
Cross-Platform Yes Yes, thanks to the JVM
Game Development Engines Yes, Cocos, Panda3d Yes MonkeyEngine

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Jobs and Salary

Money becomes a factor when developers face a dilemma between Java vs Python, which is better for future. Speaking of money, employment and pay scale doesn’t appear to be any objective distinction or comparison between Python and Java. The median yearly income for Python developers in the US is roughly $96,000, whereas for Java developers, it is roughly $97,000.

Since both are in high demand, you can launch your career as an intern or software developer if you become proficient in either. You shouldn’t use these considerations while selecting a programming language. Instead, when considering ‘Java or Python which is better for placement,’ pick the option that best fits your unique requirements.

Game Development

There is no point in asking ‘Java vs Python, which is better for future game development’ because the developer community knows that C++/C# is far ahead of them both. Although Java and Python are not slow, they do not offer the best performance for game development. The game development industry demands the finest performance to deliver smooth customer experiences.

Nevertheless, several well-known games, including one of the all-time greatest-selling titles, Minecraft, have been developed using these languages. A well-known Java open-source game development engine is called JMonkeyEngine. OpenGL also offers interfaces for the Java programming language, which is useful if you want to play around with computer graphics or create your engine.

Although Python alone isn’t a strong option for creating games, it may be used with various engines and frameworks, including Cocos, Pygame, Panda3d, and others. A common scripting language choice for many developers, including those who create video games, is Python. So, to conclude this Java vs. Python comparison for game development, both are equally good, each having pros and cons.

Stability

In this section, let’s explore Java vs Python, which is better in terms of stability. In contrast to Python, Java has stringent syntactic requirements that the writer must follow to include all variables. As a result, there is a greater volume of code to review, fix, and overall manage.

However, this has a positive aspect! The code must be extremely carefully written because everything must be verified and evaluated before running. As a result, the software may be more reliable and crash-free. For this reason, Java is typically seen as the ideal choice for businesses, including banks. Actually, Java is frequently strongly linked to traditional corporate languages.

However, Python has also demonstrated that it can easily handle complex software. Python is not inherently unstable; in fact, Java is known for its exceptional program reliability. In contrast, large corporations like Android, Docker, and Airbnb use Java in their tech stack. However, it’s also true that Python is used in the tech stacks of Reddit and Instagram (a Python web framework created in Django).

Security

Now, let’s discuss Python vs Java, which is best in terms of security. Well, Python appears to have a modest advantage over Java, as security flaws in Python are being disclosed less frequently than in Java. This isn’t a good predictor, though, because a language like Java that has been around for so long is bound to have more “reported” flaws.

But unlike other widely used languages, Java has a unique risk in the form of deserialization problems (it’s crucial to note that Java 17 includes capabilities to tackle this problem). Java has several advantages over Python, including robust data types, and its built-in security package provides encryption, public key infrastructure (PKI), XML signatures, and authentication.

Java uses dynamic checking and static analysis to ensure that all running programs adhere to security standards. At the time of compilation, the JVM’s bytecode compilation process performs malware and virus checks. Since Python relies heavily on developers’ excellent habits, it lacks most of this imposed discipline.

Availability of Libraries and Frameworks

Here, we discuss Python vs Java, which is better for the future when it comes to library and framework availability:

Python

Python has many frameworks and packages that cover different fields. Python offers everything, including tools for web development (Django and Flask), data analysis (Pandas and NumPy), artificial intelligence (AI), and machine learning (TensorFlow and PyTorch).

A vast array of packages meeting various needs may be found in the Python Package Index (PyPI), which makes Python programming comparatively easy.

Java

Java boasts a broad ecosystem with frameworks like Spring for online and enterprise applications, Maven for dependency management, and Hibernate for database operations. Java’s ability to support a wide range of development requirements is guaranteed by the large standard Java library as well as additional community libraries.

Dynamic vs. Static

This topic presents yet another ‘which is best, Python or Java’ conundrum. It is up to personal preference whether to choose statically typed or dynamically typed languages.

Java is static, whereas Python is dynamic. Unlike static languages, which carry out type checking during compilation, dynamic languages only check the type at runtime. Assuring that every reference type corresponds to its expected values is known as type checking.

In this manner, if an integer variable, for instance, is assigned an alphabetic value, the computer won’t become confused. Of course, miscommunications or errors may occur, and when working with dynamic languages, the likelihood of them increasing is increased.

However, dynamic languages are generally easier to debug and have a lower verbosity. Is being simple a valid justification for being prone to mistakes, though?

Learning Curve

Aspiring developers often ask the same question, ‘Should I learn Java or Python?’ Given its well-known simplicity and intuitiveness, Python is a great choice for someone learning programming for the first time. Compared to other older languages like C++, Java is easier than Python but still rather complicated. Java is not particularly difficult overall, but it does take some expertise and a general understanding of programming concepts.

Even now, many new developers start with Java, even if learning it takes a little more time and effort than Python. All of these languages are fun and simple to learn because of the wealth of resources available, including community forums, instructional materials, and online courses.

Portability

Here, we discuss which is better, Python or Java, in terms of portability:

Python

Code written in Python is very portable. With the right environment setup, a Python script can run on any operating system. The Python interpreter plays a major role in this portability. A system cannot run Python code if the necessary interpreter is not installed. Dependencies are another possibility; certain Python libraries might not work or act differently on particular systems.

Java

Java’s Virtual Machine (JVM) makes Java portable. Your Java code is compiled into bytecode, which the JVM may run natively on any platform after it has been compiled. This implies that Java applications can run smoothly on any platform with a JVM implementation, making Java applications extremely portable.

Speed and Memory Usage

Now let’s compare and contrast Java with Python in terms of their speed and memory usage:

Python

For the most part, Python is slower than Java. This is mostly because it is an interpreted language that runs code more slowly than a compiled language. Python’s dynamic typing may require more memory than statically typed languages since it needs to store more data regarding variable types.

Java

Python is frequently slower than Java, particularly when high performance is necessary, such as in high-frequency trading platforms or gaming applications. Although applications may use more memory due to Java Virtual Machine (JVM) overhead, Java’s Just-In-Time (JIT) compiler optimizes the bytecode at runtime, enhancing efficiency even further.

Mobile App Development

Here is a comparison of Java vs Python, which is better in terms of mobile app development:

Python

Python isn’t usually thought of when one thinks of developing mobile apps. Python isn’t as streamlined or effective as other languages, even if it provides frameworks like Kivy and BeeWare that enable the building of mobile apps. It’s also possible that the apps lack the responsiveness and performance of those created in their original tongues.

Java

The link between Java and Android makes it a powerful platform for developing mobile apps. Since the Android SDK supports Java, it is the main language for creating Android apps. Java is a great option for developing feature-rich, fast mobile applications because of its stability, effectiveness, and portability.

Interpreted vs. Compiled languages

Due to Python’s interpretive nature, it can quickly translate code from human to machine language, facilitating debugging and code review. The language Java is compiled. Before running source code, compiled languages convert it into machine code.

Java or Python Which is Better for Future?

Java vs Python which is better? This is a question that has been up for debate for several years now. This debate of Java or Python which is better for future can only be solved once we understand the advantages of Java vs Python. 

Advantages of Python – 

Python’s adaptability is hard to match, and because of its flexibility, exploration is encouraged. This prevents programmers from being restricted to creating only a certain kind of app. You can create fresh and unique things with just one preferred language. 

  • It enables advancements: Python is quick and user-friendly for development since it has dynamic typing. Additionally, it employs parallel programming, which allows each unit of code to operate independently, to deal with problems and obstacles more quickly.
  • It is more flexible: Python supports a range of programming languages and concepts, giving it a more adaptable strategy for coding and development. This makes it suitable for start-ups that might need to switch strategies suddenly as well as for engineers who prefer flexibility.
  • It might improve efficiency: Python is considered more productive than Java because of its dynamic typing and simple syntax. It also provides access system and control capabilities that can increase the productivity of programmes.
  • It provides comprehensive libraries: These libraries can handle several common operations and commands. Additionally, it has code that can be utilized for a variety of tasks, like creating documentation, and CGI.

Advantages of Java – 

Java has several benefits, two of which are efficiency and effectiveness. It’s also regarded to be one of the simpler programming languages to master. You won’t need to spend as much time studying how it all operates as you would with a reduced language because many procedures of this increased language run automatically. If you spend enough time learning and practising, you will be able to master it rather fast. Java has other benefits, such as the following:

  • It is safe: Java doesn’t use explicit references, operates in a virtual server called a ‘sandbox’, checks for unlawful programs using byte-code verifiers, and supports safety in addition to the entire Java package and the security checks.
  • It is object-oriented – It provides a more logical method for developing large projects since you can build categories that include data, methods, and entities that are members of those categories. Additionally, it offers adaptability, simpler troubleshooting, and the capacity for code reuse.
  • It offers multi-threading: With Java, you may execute many threads simultaneously. To improve efficiency and speed while executing several threads, they share a shared memory space.

The question of java vs python which is better, will always remain. You must use the one that is most convenient for you. 

So, What to Choose: Java or Python?

Now that you know the advantages of Java over Python and vice versa, decide between Python and Java based on several significant considerations. Your present experience is the first, and knowing the steps involved in how to learn Java and Python and comparing them is second.

Learning Python will be a marginally better option for you if you begin a software developer career. Java is a safe choice if you learn a new programming language besides the one you now know to expand your potential and advance your career.

Python is the best choice for individuals who wish to learn to code quickly. In contrast, Java is best suited for enthusiasts who have more time to dedicate to learning an effective programming tool. One important thing to keep in mind is that your commitment will be rewarded with a greater salary.

The region where each language is implemented is also an essential consideration. Java and Python are both object-oriented and general-purpose languages. In real-world applications, though, each has its uses and can be ineffective in others.

Conclusion

Python vs Java performance: Having considered both languages against various parameters, it is not clear which language trumps the other one. 

Java may be a more popular option, but Python is widely used. People from outside the development industry have also used Python for various organizational purposes. Similarly, Java is comparatively faster, but Python is better for lengthy programs. 

Eventually, it depends upon the type of program a developer wants to create. If you consider the above parameters, and a language ticks most of your boxes, it is safe to go ahead with it. However, if you are beginning to foray into development, Python might be a better choice. On the other hand, Java will be the preferred option for enterprise-level programs. 

It can clearly be concluded which programming language should be a winner. However, in terms of faster credibility and learner’s friendly attitude, among which is faster Java or Python, Python has definitely more credibility. 

If you’re interested to learn more about full stack development, check out upGrad & IIIT-B’s Executive PG Program in Full-stack Software Development which is designed for working professionals and offers 500+ hours of rigorous training, 9+ projects and assignments, IIIT-B Alumni status, practical hands-on capstone projects & job assistance with top firms.

Frequently Asked Questions (FAQs)

1. What are the advantages of Python programming language?

Python is one of the easiest languages to learn and use. It is syntax-oriented, a concept that allows the user to express concepts in fewer lines of code. Python code is easy to read, even for those who’ve never programmed. The language is supported by a community that’s constantly coming up with new solutions to problems. And the main reason for its success is its flexibility. It can be used for development of desktop applications, web apps, servers, and more.

2. What are the applications of Java programming language?

Java programming is the language for application programming. It is a simple, object oriented and platform independent programming language. It is used for creating web-based applications, mobile applications and desktop applications. The language is used to write programs that can be run in any computer. The applications can be run on multiple operating systems like Windows, Linux, Mac, Solaris etc. The applications can be written in any of these operating systems and work on other operating systems too. Java applications are written with the help of java programming language and then compiled into bytecode. This bytecode can run on any operating system or platform.

3. Which is better - Java or Python?

Both Java and Python are powerful and flexible programming languages. They both have their strengths and weaknesses, so it really depends on how you want to use them. Both were developed in the late 1990s, and they are general-purpose programming languages that can be used to write programs for any purpose, from games to web applications, scientific simulations, and more.

Did you find this article helpful?

Arjun Mathur

Arjun is Program marketing manager at UpGrad for the Software development program. Prior to UpGrad, he was a part of the French ride-sharing unicorn "BlaBlaCar" in India. He is a B.Tech in Computers Science from IIT Delhi and loves writing about technology.

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How to Become a Full Stack Developer: Part 1

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How to Become a Full Stack Developer: Part 1

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Telling it what to do to ensure it acts the way you want it to, under varying circumstances, will shoot up your reasoning and analytical skills by a non-trivial amount. Check out our free courses to get an edge over the competition. Motivation To me, the most potent benefit has to be power. Programming makes you feel powerful. It gives you the ability to create anything imaginable on a computer: Music Players, Social Networking Sites, Blogs, Search Engines, Workout Assistants; you name it and you can build it. Converting design mocks into real, working apps is a euphoria I wouldn’t trade anything in the world for. Once you’ve taught yourself to program, your imagination is the only thing stopping you from creating the next big thing. Some of the greatest minds explain why you should learn to program, no matter who you are: I’m going to tell you how to go about acquiring these full stack development skills. It doesn’t matter what your college major was or the field you’re currently working in. Neither does your age or your self-perceived intellectual capability matter. Contrary to what most people think, literally anybody can program. All you need is a computer and an internet connection. Check out upGrad’s Advanced Certification in Cyber Security  That said, let’s begin our full stack journey! Step 1: Fundamentals of Computer Science Before you venture into full stack development or any of the various fields of computer science, it is imperative that you get your basics straight. Online education has been one of the biggest boons to the field of education and the art of self-learning. With the advent of universities putting up their courses online, there isn’t a dearth of quality content on any subject you could imagine yourself studying. Computer Science is no exception. I’d suggest signing up for Harvard University’s CS50: Introduction to Computer Science on edX. David Malan is one of the best instructors on the planet and his enthusiasm for the subject is sure to rub off on you by the time you’re done with the course. To give you a sort of a teaser as to what is in store, you will learn up to 5 programming languages and technologies (including C, Python and Javascript), build a stock exchange and trade stocks, build a version of Pong and program with Google Earth to take a virtual tour of Harvard’s campus, etc. Another option I’d suggest taking is the Pre-Course of IIIT-B & UpGrad PG Diploma program in Software Development. The entire program spans over 11 months, but I really like the way they have structured content to start off from the basics of computer science and then help you build your skillset when it comes to advanced concepts of full stack development. Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses Check out upGrad’s Advanced Certification in Cloud Computing  Once you’re done with them, you’ll have a pretty good idea as to what the field of Computer Science has to offer. From here, you can dive deeper into the many branches of CS: AI and Machine Learning, Data Science, Full Stack Development, Information Security, etc. In this series of posts, however, I will only be covering a suggested path towards teaching yourself Full Stack Development. Interview with Ankit Tomar, Co-Founder & CTO, Bizongo Step 2: Data Structures and Algorithms When you become a full stack developer, it is extremely important you understand how to store a particular piece of data and how to implement a certain task in the most efficient and logical way possible. This is where Data Structures and Algorithms come in. They are the lifeblood of every branch of Computer Science in existence. How does Google Maps calculate the shortest distance to our destination? What’s behind Netflix recommending movies? How does Facebook store and render the data of its billion-plus users? The answers lie in powerful data structures and algorithms. No wonder they are the topic of choice in almost every technical interview you will ever sit in. For this step, I’d recommend going through Princeton University’s Algorithms I & II. They are taught by Robert Sedgewick, a renowned Computer Science professor. 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Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Step 3: User Experience and Design The final ‘prerequisite’ before we delve into full-stack web development technologies is UI and UX. Now, unless you want to be a unicorn, you will not be designing apps yourself. Rather, you will be converting design mock-ups and product descriptions into code. Nevertheless, I believe that every developer must have a rudimentary knowledge of UX/UI principles and the world of design, in general. For this, I’m going to suggest two books which are of monumental importance to the world of full stack development. The first is Steve Krug’s Don’t Make Me Think. This book will teach you the basics of UX/UI and the ability to differentiate good design from bad. The other one, The Design of Everyday Things is a book almost every designer I know swears by. It is often called the bible of design and rightly so. You will find yourself looking at the world in an entirely different way after reading this book. These two books should be enough for our purposes. The book will arm you with tools that will let you identify good design(er)s from bad. It will also help you build decent looking websites without the help of a mockup from a professional. How to Become a Full Stack Developer: Part 2 Step 4: HTML and CSS HTML and CSS are the technologies that run every single website on the internet. The HTML provides the structure. The CSS provides style. If you’ve followed the path suggested so far, you may have already been introduced and gained a basic understanding of these technologies. HTML and CSS aren’t programming languages. Their syntax is incredibly simple to grasp. However, when used incorrectly, they can wreak all sorts of havoc. It is imperative you learn how to structure and style your websites well. UpGrad & IIIT-B’s Software Development program would be mighty helpful for those who wish to learn these technologies to create engaging and responsive user interfaces. Supplement the course by going through Head First’s HTML and CSS and HTML5 Programming. The latter book will help you familiarise yourself with the HTML5 standard. In parallel, I would suggest learning about Twitter’s Bootstrap library through scores of online material available on the subject. As you progress as a developer, you will gradually realise that CSS can be complicated. Bootstrap helps us alleviate a considerable amount of that pain and helps in making the website responsive and mobile friendly. That said, always keep a CSS Reference Guide close to you. I’d recommend CSS3: The Missing Manual by David McFarland. Also, create an account on StackOverflow if you haven’t already. 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Follow this up with Douglas Crockford’s Javascript: The Good Parts. This book will teach you to treat Javascript with the caution it deserves and the best practices while programming in it. Javascript is a tough language to master. Often, it is incredibly counterintuitive and annoying to deal with. To alleviate the world’s front-end developer’s pains, John Resig built the jQuery library. jQuery does things in a line where vanilla Javascript would have required a dozen. To maintain your sanity, it is absolutely essential that you get a strong grasp of jQuery. For this, go through Head First jQuery. To obtain mastery over the library, give jQuery: Novice to Ninja a thorough read. Congratulations! You are now a Front-end Developer. Theoretically speaking, you now have the tools to build the front-end of every website in existence. And I strongly suggest you do so in order to convince yourself of your newly found powers. Which brings me to the next step…s Step 6: Build a Website You now have the skills to build static websites. This is a good time to take on a few projects and build a website from scratch. There are many ways you could do this: If you’re in college, volunteer to build the website for a student group. Build your personal website. Put up samples of your work, social links, resume, articles, blog, etc. Apply for a freelancing job to build the frontend of a website. It can be anything, really. For instance, once I was done learning these technologies, I built a website for my college’s Dramatic Section. The website, in retrospect, was poorly structured and didn’t work on mobiles. But I learnt much more by doing that than from all the courses and books I’d gone through. Step 7: Front-end Javascript Frameworks With the advent of Single Page Applications, there has been a sudden surge in demand for front-end Javascript Frameworks. These frameworks aim at providing an MVC type of structuring on the front-end and delegate more and more backend tasks to the front-end. It is also incredibly useful in mocking the endpoints before the actual backend of the application is built. The usage of front-end frameworks like Angular and React has increased exponentially and almost every other startup uses it. So, I believe it is important you gain a rudimentary grasp of the major frontend frameworks. The most popular ones are Google’s Angular and Facebook’s React. The best place to get started with Angular would be the tutorial hosted on the official website. To gain mastery of the framework, go through Ng book 2. It’s highly recommended. As far as React is concerned, it is rapidly becoming the most popular frontend platform in the world, with a 300% rise in React developer jobs. UpGrad & IIIT-B’s Software Development program is a great platform for you to build expertise over this framework. Through the program, you would get valuable hands-on experience on React working on cool projects like creating an Instagram-lookalike or a Quora-like website on your own. Interview with Farooq Adam, Co-Founder, Fynd Conclusion So far, we’ve gone through curated lists to introduce ourselves to Computer Science, learn Data Structures and Algorithms, Design Principles and the technology stack of a front-end developer. In the next posts, I shall be covering the following: Back-end Development Mobile App Development I hope you’ve found this article useful. If there are resources or technologies I’ve left out that you feel are important, please do mention them in the comments!
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by Rounak Banik

01 Dec'17
How to Become a Full-Stack Developer: Part 2

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How to Become a Full-Stack Developer: Part 2

This is the second in a series of posts on teaching yourself programming and full-stack development. If you haven’t checked out the first part, on learning CS Fundamentals, Algorithms, Design Principles and Front-end Development, you can do so here. Check out our free courses to get an edge over the competition Motivation You now know how to build static websites using HTML, CSS, and Javascript. Although the Internet was originally designed to share static web pages, the capabilities (and expectations) of a modern web app have increased gigantically. Almost every app requires that you authenticate users, respond to them and replicate real-world scenarios as closely as possible. To do the aforementioned, you need to get data from a user (or an API), process it and produce an output. You also need to save this data and have a mechanism to identify the user the next time s/he returns to use your app. To perform these functions, our present stack isn’t enough. Interview with Ankit Tomar, Co-Founder & CTO, Bizongo Check out upGrad’s Advanced Certification in Blockchain Servers are required to process user data, store files, convert it into HTML/CSS/JS. Then, these servers serve it to the browser in a form that can be presented to the user. A database is required to store data important to your app. To program the server, we require a server-side scripting language and for the database, we require a database (duh) and a language to communicate with it. This is exactly what we’re going to do in the next steps. For the first seven, refer to the earlier post!  Learn Software Development Courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. Step 8: Server Side Scripting Languages As mentioned before, to program and communicate with your server, you will need to know a language it understands. Unlike front-end where Javascript is the only choice, there are a plethora of options available for you to program on the backend. The most popular ones are Java, PHP, Python, JavaScript and Ruby. PHP has its shortcomings, but it has the gentlest learning curve out of all the languages and frameworks I’ve used so far. And PHP is about coding quick (and dirty) solutions. So, in an extremely short period of time, you can build a web app to be extremely proud of. Java is a general-purpose programming language and probably the most popular language of all time. It is extremely popular for building mobile apps (on the Android platform) and used extensively in most major tech companies. Head First Java is an excellent place to learn this ubiquitous language. Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Check out upGrad’s Advanced Certification in DevOps  To learn Python, I’d strongly recommend Zed Shaw’s Learn Python the Hard Way and Albert Sweigart’s Automate the Boring Stuff with Python. If you’ve decided to go with PHP, you can learn the basics of the language on Codecademy. You already know enough JavaScript syntax to get your hands dirty with the Node and backend JS frameworks (such as Express). I’ll cover Ruby later in conjunction with Rails as it is rarely used as a standalone language. Step 9: Learn SQL For the next step, you should probably pick up a little SQL (Structured Query Language). It is the language databases communicate with. And although you might not use it directly when you switch to using frameworks, it still helps to know how to directly communicate with your database. The good news is that SQL is incredibly easy to learn. You should be able to get a good grasp of it in a matter of hours. Head First SQL is a great resource for this purpose. How to Become a Full Stack Developer: Part 1 upGrad’s Exclusive Software Development Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4   Step 10: Learn a ‘Conventional’ Full-Stack Web Framework Now is a good time to experiment with web frameworks that can do most of the lower level work for you. There isn’t a shortage of great frameworks that could cater to every purpose imaginable. Rails (written in Ruby), Spring (written in Java) and Django (written in Python) are among the popularly used frameworks today. You could take a look at Michael Hartl’s The Rails Tutorial – available for free. As far as Django is concerned, the tutorial on the official website is a good place to start. Once you feel you’re comfortable with the basics of the framework, do give Two Scoops of Django a read. It’s one of the best technology books ever. If you’ve decided to go the Spring route, I’d strongly suggest signing up for UpGrad & IIIT-B’s Software Development program. The program gives you a very holistic overview of the framework and helps you build a robust and scalable backend. Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses Step 11: Javascript Full-Stack Frameworks and the MEAN Stack Not very long ago, Backend Development used to be based on the concept of the request-response cycle. For example, the browser sent a request and the server responded by spitting out a webpage in HTML. However, since early 2010, more and more applications have become real time. The structure of an entire web page changes without refreshing and behaves dynamically based on user input and interaction (Think chat, liking, commenting, live videos and reactions, etc.). In such a scenario, a simple request-response cycle simply isn’t enough. Therefore, there has been a recent surge of interest towards asynchronous programming and making AJAX requests the norm. Javascript Frameworks tend to excel at this. So, it makes sense to get acquainted with one of the major JS frameworks available in the market. The two most popular ones are the MEAN Stack and MeteorJS. Interview with Farooq Adam, Co-Founder, Fynd Learning MEAN is slightly more complicated due to its asynchronous nature and the callback hell Node usually tends to unleash. But now that you’re a seasoned developer, you are mature enough to deal with its idiosyncrasies. Meteor is a full-stack JS framework I’m currently experimenting with. The concept of Meteor is absolutely delightful – one framework in one language that takes care of all the components of an application (front-end, back-end, and database). However, this comes at the cost of customisation freedom. Once you’ve built something in Meteor, it is virtually impossible to change the database or the backend framework should you choose to do so. Though, I still think this is a worthwhile technology to learn. Meteor is known to be extremely powerful. It’s capable of doing things in hundreds of lines of code where other conventional frameworks would’ve required a thousand. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses Conclusion This is the end of part 2. In this post, we’ve covered resources concerning backend development and the various full-stack technologies available. You can now proudly call yourself a full-stack developer. Congratulations! But the story of full-stack web development doesn’t end here. With the introduction of the iPhone, there has been a smartphone revolution around the globe. More and more people are shifting towards using smartphones in place of desktops. In such a scenario, it is imperative that you learn to build apps for two of the most popular platforms out there: Android and iOS. We shall be covering this in the next and final part of this series. Additionally, we shall also look into frameworks that allow us to build native apps using Javascript (Ionic, React Native, etc.). Until then, it’s goodbye. 🙂 Your comments and suggestions are welcome! Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know?
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This post is the third and final in the series on becoming a full-stack developer. This article talks specifically about mobile app development. Read here for more on frontend and backend development. When Steve Jobs introduced the iPhone in 2007, it ushered the biggest revolution the world had witnessed since the printing press. Smartphones have managed to penetrate almost every country on the globe. Even the most impoverished seem to be in possession of one so much so that life without them seems inconceivable. Check out our free courses to get an edge over the competition Motivation There are certain apps which make sense only when running on a phone. Take Uber, for instance. Uber needs to know your exact location through GPS. An Uber app for desktop wouldn’t make much sense. Another issue is that a majority of your audience will open your app through a phone, even if it is one that has been built for browsers. In such cases, it is imperative that you ensure the experience is seamless and too much data isn’t consumed. Finally, there are subtle differences between interacting using mouse-clicks and touch. Your app must ensure that it behaves well in both scenarios. Keeping all these considerations in mind, it makes good sense to venture out of the browser and build mobile apps. This ensures that you make maximum use of the functionalities a typical smartphone has to offer while at the same time making the user experience a delight. Below are the steps to acing mobile app development. For the first part to become a full stack developer on frontend and backend development. Check out upGrad’s Advanced Certification in Blockchain Learn Software Development Courses online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. Interview with Ankit Tomar, Co-Founder & CTO, Bizongo Step 12: Choose a Platform The first step would be to choose a platform where you would like to build your application. Unless you’re part of a reasonably big team, it is extremely unlikely that you will build apps from scratch on all major platforms. The more likely scenario is that you will be coding on your favourite platform and will then simply port it over to the others. The major smartphone platforms today are iOS, Android, and Windows. They use drastically different languages and IDEs. For instance, iOS uses Swift and XCode, Android uses Java and the Android Studio and Microsoft operate with C# and Visual Studio. upGrad’s Exclusive Software Development Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4   Check out upGrad’s Advanced Certification in DevOps  The market today is dominated by Android and iOS, so the choice really comes down to these two. Some things you may need to consider before making a choice is the audience share for your app. I believe it makes good business sense to build iOS apps if you’re in a First World country as Apple Devices are extremely popular there. In contrast, in a country like India, Android would be a more obvious choice as the market share for iPhones is extremely small owing to its exorbitant price. If you plan on making money from your app, keep in mind that iOS users are more likely to open their wallets for in-app purchases than their Android counterparts. This may be because iOS users usually tend to have more disposable income as compared to third world markets where Android dominates. iOS development requires you to have a Mac Development machine. Also, Apple App Store licenses retail at $99/year compared to Google Play’s one time $25 fee. In other words, iOS development is considerably more expensive. In this post, I shall cover how mobile app development is done today: Native Android Apps, Native iOS Apps and Hybrid Mobile Apps. Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Step 13: Java and XML Java is the most popular language for Android Development (Google has recently introduced support for the Kotlin Programming language too). The founders of Android thought Java to be an appropriate choice and they have stuck to it since its inception. And if their trajectory is anything to go by, it has been nothing short of an amazing decision. The best resource to learn Java would be Head First Java. Reading this book will give you a thorough introduction to the language as well as Object Oriented Programming Principles. As far as XML is concerned, I do not think you need a concentrated tutorial on the subject. You’ve already worked extensively with a subset of XML (HTML) and you will be able to figure it out pretty quickly, even if you were to jump directly into Android development. I cannot say the same for Java. Ensure you have a good grasp of the language before venturing into Android. Step 14: Android You now have the technical know-how to build Android apps. It is time to dive deep into this revolutionary OS. Be wary though that certain Android practices differ from what you usually see on the web. The resources I’ve suggested below will ensure that your learning is not hindered by these differences. Android Programming- The Big Nerd Ranch Guide 2nd Edition is a good place to start if you know Java already. Make sure you pick up the second edition as that is the one that uses Android Studio, which is the industry standard now. The practice of building apps in Eclipse is largely outdated. Interview with Farooq Adam, Co-Founder, Fynd Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses Step 15: iOS If you are more of an Apple aficionado and/or have decided that iOS apps make more sense to your business/career aspirations. The first step would be to acquire a Mac. XCode works only on Mac and in order to publish on the app store, you need a Mac. Sorry, VMWare. The resource I’m going to suggest for iOS is exactly the same as that for Android. Nerd Ranch has its own publication – iOS Programming: The Big Nerd Ranch Guide which deals with Swift and XCode, so that is a good place to start. Step 16: Hybrid Mobile Apps If you’re a solo developer or are working in a small team, you probably do not have the time or the resources to separately build and maintain Android and iOS Apps. To alleviate the developer’s pain of building for multiple platforms, the concept of Hybrid Mobile Apps was introduced. The concept is extremely simple and revolutionary. If you know Javascript, you already know how to build web apps. Therefore, should you have an app in JS, there must exist a framework that automatically ports your application into Android, iOS, and Windows. Incredible but true. Most hybrid frameworks achieve this using Cordova or React Native. You can think of Cordova as the bridge between browsers and the smartphone’s native hardware. It establishes a connection between the two solely using JS and helps in creating the build scripts in the native languages of each platform. Cordova based frameworks, however, are rapidly being overshadowed by Facebook’s powerhouse, React Native. The power of React Native lies in the fact that while Cordova constructs WebViews, React Native lets you build native apps that you’d build using either Java (for Android) or Swift (for iOS). In other words, Cordova is a website disguised as a mobile app, but React Native lets you build the real thing. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses In my opinion, you can give Cordova a miss and learn React Native instead. It is an extremely great career investment to make. UpGrad & IIIT-B’s Software Development program is a great place to start your journey with this revolutionary library which has already been used by companies like Facebook, Netflix and AirBnB to design their apps. Interview with Farooq Adam, Co-Founder, Fynd Conclusion With the conclusion of hybrid apps, we come to an end of this series. In summary, these are the things we’ve covered: Computer Science Fundamentals. Data Structures and Algorithms UI/UX HTML, CSS, JS Front-End Frameworks Server-Side Scripting and Databases Full Stack Frameworks Android and iOS Hybrid Mobile Apps Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? I hope you’ve enjoyed reading this series as much as I have enjoyed writing it and more importantly, found at least some parts useful. As always, your comments and suggestions are welcome!
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by Rounak Banik

01 Dec'17
Why Companies are Looking to Hire Full Stack Developers

7.11K+

Why Companies are Looking to Hire Full Stack Developers

It’s no secret that companies today are looking to hire young and talented software developers. But with so many smart developers out there, how can you set yourself apart from everyone else applying for these coveted roles? The best way to do this is to master the skills companies demand: a wide variety of programming skills. When you are learning how to develop software, you can improve your odds of getting a job by learning full stack development. In fact, Indeed ranked the Full Stack Developer role as the #1 job in 2017. Check out our free courses to get an edge over the competition. There are three main reasons why companies love to hire young full stack developers: Full stack developers can solve many problems Companies look to hire people based on what problems the candidates can solve for the company. By definition, full stack developers can work on both backend, frontend, and the protocols that connect the two; being able to create a software product end to end and independently. When you learn full stack development, you have an advantage over other job seekers as you can solve many more problems than other developers. For example, think about working at a high growth startup. Startups need developers who can work on a variety of programming projects. From user interfaces to server-side programming, to database applications, and everything in between. With only a small team, startups want to hire full stack developers who can work on many of the different software projects. As a full stack developer, you build many types of software projects that most other developers cannot. Check out upGrad’s Full Stack Development Bootcamp (JS/MERN) Even at a larger company, hiring developers with the knowledge to work on many different projects gives a manager flexibility to move people between teams as businesses constantly need change. One year, you can have a developer work on a frontend project and then you can move him to a backend project the very next year. The added flexibility makes the manager’s job much easier so they like to work with developers with a wide variety of skills. Check out upGrad’s Java Bootcamp.   How to Become a Full Stack Developer Companies love full stack developers because they can solve many different problems for the business. Companies like to hire young developers who are generalists The main reason is that companies hire young developers based on their potential rather than deep domain knowledge. Companies like to teach young developers what they want them to know. As a full stack developer, you have a broad set of technology skills that the company can help you expand further. As an entry-level developer, they don’t need you to understand every algorithm. But you need to have core programming knowledge so the company can teach you what is specific to their business. Let’s go back to the example of working at a startup. When the company is starting out, they need full stack developers to work on all layers of the development stack, but as the company grows, the developers will need to specialise. It’s easy for a full stack developer to start as a generalist and then become a specialist later as the company can hire more employees. On the other hand, it’s very difficult for a specialist to join a startup and learn to be a generalist when the company is small. Full stack developers can grow with their companies more easily than specialists can. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses Once you know the basics and get the job, the company will invest time and money to help you expand your knowledge further. Full stack developers can become great managers and executives Companies love to promote people with a wide variety of experiences in the business. As a full stack developer, you will get a chance to work on frontend software, backend software, and all of the architecture that connects them. Through that variety of experience on different projects, you get the opportunity to learn much more than your solely backend and frontend peers. They only get a chance to learn one part of the company’s technology architecture, but you learn the whole architecture and understand how it all fits together. That puts you in a great opportunity to rise through the technology ranks of the company and get promoted. If you work at a startup, your experience as a full stack developer can help set you apart from your peers as the company grows. Where some developers only know how one part of the technology stack works, you understand how all aspects of the technology fit together. As more developers are hired and new technology teams form, you are more likely to manage those new teams because of your wide knowledge. At a large company, you may also get more chances for promotion. When companies look to promote from within, they need people who can manage cross-functional software teams. As a full stack developer, you will know how to talk to developers from both frontend and backend teams. How to Succeed in Your First Software Development Job Of course, technology skills are not the only ones needed to get you a promotion. You will also need to learn business skills to be a manager. But if you do that you can climb high up the corporate ladder. Looking to become a full stack developer? This article does a great job explaining how to get started: How to become a full stack developer. Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Enroll in Software Engineering Courses from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career.
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by Gopi Vajravelu

31 Jan'18
What is Test-driven Development: A Newbie’s Guide

5.53K+

What is Test-driven Development: A Newbie’s Guide

Programmers and bugs have been in a never-ending fight for supremacy since time unknown. It’s unavoidable – even the best programmers fall prey to bugs. No code is truly safe from bugs, that’s why we perform testing. Programmers, at least the sane ones, test their code by running it on development machines to make sure it does what it was meant to do. Traditionally, test cases were written after writing the code, but in Test-driven Development, an automated test case is written before writing any piece of code so that the execution and testing can be checked simultaneously. In this article, we’ll be talking about Test-Driven Development in depth and why is it better than the traditional methods! Check out our free courses to get an edge over the competition   What is Test-Driven Development? Test-Driven Development was created as part of the Extreme Programming (XP) methodology and was called the ‘Test-First’ concept. Test-driven development allows you to test your code thoroughly, and also enables you to retest your code quickly and easily since it’s automated. In essence, before writing any piece of code, the programmer first creates a unit-test. Then, the programmer creates just enough code to satisfy the unit-test. Once the test is passed and the code refactored, the programmer can go ahead with making further improvements. Test-driven development makes sure that the code is thoroughly tested which leads to a modularized, extensible, and flexible code. Each time a new feature is to be added, it needs to undergo what is called the “lifecycle” of TDD. Let’s talk more about this lifecycle. Check out upGrad’s Advanced Certification in DevOps How to Become a Full Stack Developer Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Test-Driven Development Lifecycle The test-driven development lifecycle covers everything from writing the initial unit-test to reworking the code. Add a test: Every new feature needs to undergo a test before its implemented. The essential requirement for writing a test is to have a clear understanding of all the requirements. This is accomplished using use-cases and user-stories.   Run all tests and check the net test: This is done to ensure the correct working of our test. Basically, this phase aims to check that the test is not passed by any code that doesn’t meet the requirements. By doing so, this step eliminates the possibility of having a faulty test at hand.   Write code: Now that you have your test in place, the next obvious step is to write a code that clears the test. This code need not be perfect in all aspects, but it needs to clear the test. Once we’re sure this code clears the test, it can be modified as per the requirements.   Run the tests: Having written the code, now it’s time to see if the code passes the test or not. If your code passes the tests, it means that your code meets the requirements – till now.   Refactor the code: This is essentially done to clean up the code. Refactoring doesn’t cause damage to any of the functionalities; it is just for cleaning the code by removing duplication between test code and production code.   Repeat: This cycle is now repeated with a fresh test to add more functionalities. Each functionality undergoes the same cycle. Essentially, the size of steps should be not more than 1-10 edits between each test run. If a code doesn’t pass the test rapidly, the developer must revert and not debug excessively. Check out upGrad’s Full Stack Development Bootcamp (JS/MERN)  Why Companies are Looking to Hire Full Stack Developers Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses The Pros and Cons of Test-Driven Development Test-driven development has some definite pros over traditional methods of testing – which were mostly manual. However, it’s not infallible. Just like any other technology, the test-driven development also has a set of cons. Let’s have a look at what are the benefits of TDD in detail: Writing small tests ensures modularity of your code. Practicing TDD helps you understand the underlying principles of good modular design.   TDD provides clarity during the implementation of your code which enables a safety-net during the refactoring phase.   With TDD, collaborating is a lot easier as now people can edit the code with confidence because the test will inform them if their changes are not up to the mark of the test.   The base of TDD is unit-tests. Because of that, refactoring is a whole lot easier and faster. Refactoring an old code is a pain, but if the code is backed by unit tests, it becomes so much easier.   It helps in clarifying all the requirements before you begin the coding part. This way, a lot of ambiguity that can arise later on is avoided.   Test-driven development focuses on testing while writing. This forces the programmer to make their interfaces clean enough to pass the test. It’s hard to understand this advantage until you work on a piece of code that hasn’t undergone TDD.   Silly mistakes are caught almost immediately. It helps in removal of those mistakes that would waste a lot of time if found in QA. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses Now, let’s have a look at what are the limitations of test-driven development: The test suite that’s used for testing needs to be maintained else the tests may not be fully deterministic.   The tests are hard to write – especially beyond the unit-testing phase.   TDD does slow down the pace of development, at least initially.   Like with any form of development, there’s a big difference between just doing it and doing it well. Writing good unit tests requires a level of specialty.   It’s difficult to apply this approach to your legacy(existing) code.   TDD requires you to perform routine housekeeping. It’s necessary to refine the tests to make them run more quickly.   It’s easy to get distracted by the fancy features in any unit-testing framework, but it should be kept in mind that simple tests tend to give the best results.   Unless everyone on the team correctly maintains their tests, the whole system can quickly degrade. How to Succeed in Your First Software Development Job Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? In Conclusion… Test-driven development is the way forward as far as future of application development goes. There are a number of automated testing frameworks like PHPUnit, Serenity, Robot, RedWoodHQ, and many more. Pick the one that fits your need and get started with building better maintainable applications in no time!  Enroll in Software Engineering Courses from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career.
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by Arjun Mathur

12 Mar'18
A Beginner’s Guide to MVC Architecture in Java

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A Beginner’s Guide to MVC Architecture in Java

If you’re related to web development scene, you’ll most certainly have come across the acronym “MVC” hundreds of time, if not more. MVC is one of the most talked about design patterns in the web programming world today, and rightly so. In this article, we’ll take you through the world of MVC Architecture. We’ll talk about the basics of MVC, its advantages, and finally, a simple code that will help you understand the implementation of MVC in Java in a clearer way. What exactly is the MVC architecture? Before we get into the technicalities of it, let’s make some things clear – MVC is NOT a design pattern, it’s a way to structure your applications. In recent years, the web applications are extensively using the MVC architecture, and hence it’s natural to confuse it for a design pattern exclusive for web applications. However, let’s tell you that MVC was first described way back in 1979 – before the WWW era when there was no concept of web applications. The architecture used today for web applications is an adaptation of the original pattern. In fact, this architecture was initially included in the two major web development frameworks – Struts and Ruby on Rails. These two environments paved the way for a majority of web frameworks that came later – and thus the popularity of this architecture kept rising. Learn to build applications like Swiggy, Quora, IMDB and more MVC architectural pattern follows an elementary idea – we must separate the responsibilities in any application on the following basis: Model: Handles data and business logic. View: Presents the data to the user whenever asked for. Controller: Entertains user requests and fetch necessary resources. Each of the components has a demarcated set of tasks which ensures smooth functioning of the entire application along with complete modularity. Let us have a look at each of these components in further detail. Check out our free courses to get an edge over the competition. Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript upGrad’s Exclusive Software and Tech Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4   Controller The controller is the like the housekeeper of the application – it performs coordination between model and view to entertain a user request. The user requests are received as HTTP get or post request – for example, when the user clicks on any GUI elements to perform any action. The primary function of a controller is to call and coordinate with the model to fetch any necessary resources required to act. Usually, on receiving a user request, the controller calls the appropriate model for the task at hand. Check out upGrad’s Full Stack Development Bootcamp (JS/MERN) Model The model is quite simply the data for our application. The data is “modelled” in a way it’s easy to store, retrieve, and edit. The model is how we apply rules to our data, which eventually represents the concepts our application manages. For any software application, everything is modelled as data that can be handled easily. What is a user, a book, or a message for an app? Nothing really, only data that must be processed according to specific rules. Like, the date must not be higher than the current date, the email must be in the correct format, the name mustn’t be more than “x” characters long, etc. Check out upGrad’s Java Bootcamp Whenever a user makes any request from the controller, it contacts the appropriate model which returns a data representation of whatever the user requested. This model will be the same for a particular work, irrespective of how we wish to display it to the user. That is why we can choose any available view to render the model data. Additionally, a model also contains the logic to update the relevant controller whenever there is any change in the model’s data. Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses View As the name suggests, the view is responsible for rendering the data received from the model. There may be pre-designed templates where you can fit the data, and there may even be several different views per model depending on the requirements. Any web application is structured keeping these three core components in mind. There may be a primary controller that is responsible for receiving all the requests and calling the specific controller for specific actions. Let’s understand the working of a web application under the MVC architecture better using an example. Let’s See an Example Let’s take an example of an online stationery shop. The user can view items, buy, add items to cart, add items to current order, or even add/remove items (if he’s the admin). Now, let’s see what will happen when a user clicks on the title “Pens” to see the list of pens. Our application will have a particular controller to handle all the queries related to pens. Let’s say it’s called “pens_controller.php”. We’ll also have a model that will store the data regarding the pens we have – let’s call it “pens_model.php”. Finally, we’ll have several views to present the data – a list of pens, a table displaying pens, a page to edit the list, etc. The following figure shows the complete flow of control right from the moment a user clicks on “pens”, to when the result is rendered in front of him: First, the “pens_controller.php” handles the user request (1) as a GET or POST request. We can also have an “index.php” which is the central controller which will call the “pens_controller” whenever needed. The controller then examines the request and the parameters and calls the required model – in this case, “pens_model.php”. The controller asks the model to return the list of available pens (2). Now, the model searches the database for the necessary information (3), applies logics if necessary, and returns the data to the controller(4). The controller then picks an appropriate view (5) and presents the data (6 and 7). If a request comes from a handheld device, a view suitable for it will be used, or if the user has a particular theme selected, its view will be picked – and so on. How to Become a Full Stack Developer The Advantages of the MVC Architecture A common problem faced by application developers these days is the support for different type of devices. The MVC architecture solves this problem as developers can create different interfaces for different devices, and based on from which device the request is made, the controller will select an appropriate view. The model sends the same data irrespective of the device being used, which ensures a complete consistency across all devices. The MVC separation beautifully isolates the view from the business logic. It also reduces complexities in designing large application by keeping the code and workflow structured. This makes the overall code much easier to maintain, test, debug, and reuse. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses A Simple Implementation of MVC using Java We will have the following three: StudentObject : the model.   StudentView: view class to print details on the console.   StudentController: a controller that stores data in studentObject and updates StudentView accordingly Step 1: Create the Model public class Student {   private String rollNo;   private String name;      public String getRollNo() {      return rollNo;   }      public void setRollNo(String rollNo) {      this.rollNo = rollNo;   }      public String getName() {      return name;   }      public void setName(String name) {      this.name = name;   } } The code is self-explanatory. It consists of functions to get/set roll number and names of the students. Let’s call it “student.java”. Step 2: Create the View public class StudentView {   public void printStudentDetails(String studentName, String studentRollNo){      System.out.println("Student: ");      System.out.println("Name: " + studentName);      System.out.println("Roll No: " + studentRollNo);   } } This is simply to print the values to the console. Let’s call this “studentView.java”. Step 3: Create the Controller public class StudentController {   private Student model;   private StudentView view;   public StudentController(Student model, StudentView view){      this.model = model;      this.view = view;   }   public void setStudentName(String name){      model.setName(name);   }   public String getStudentName(){      return model.getName();   }   public void setStudentRollNo(String rollNo){      model.setRollNo(rollNo);   }   public String getStudentRollNo(){      return model.getRollNo();   }   public void updateView(){      view.printStudentDetails(model.getName(), model.getRollNo());   } } Call this “StudentController.java”. A cursory glance will tell you that this controller is just responsible for calling the model to get/set the data, and then updating the view. Now, let’s have a look at how all of this is tied together. Step 4: Create the main Java file public class MVCPatternDemo {   public static void main(String[] args) {      //fetch student record based on his roll no from the database      Student model  = retriveStudentFromDatabase();      //Create a view : to write student details on console      StudentView view = new StudentView();      StudentController controller = new StudentController(model, view);      controller.updateView();      //update model data      controller.setStudentName("John");      controller.updateView();   }   private static Student retriveStudentFromDatabase(){      Student student = new Student();      student.setName("Robert");      student.setRollNo("10");      return student;   } } This is called “MVCPatternDemo.java”. As you can see, it fetches the student data from the database or a function (in this case we’re using a function to set the values) and pushes it on to the Student model. Then, it initialises the view we had created earlier. Further, it also initialises our controller and binds it to the model and the view. The updateView() method is a part of the controller which updates the student details on the console. Step 5: Test the Result If everything goes right, the result should be: Student: Name: Robert Roll No: 10 Student: Name: John Roll No: 10 If you get this as the output, congratulations! You’ve successfully implemented the MVC architecture using Java, albeit for a simple application. However simple, this application is enough to demonstrate the powers of the MVC architecture. 15 Must-Know Spring MVC Interview Questions Wrapping Up… After so much said and done, it’s hard to emphasise more on the power of the MVC architecture in any web/desktop application these days. It provides an altogether new level of modularity to your code which makes it a lot more readable and maintainable. So, if you want to scale to new heights in your career as an application developer, getting hold of the MVC architecture and its working should be your top priority. Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know? Enroll in Software Engineering Courses from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career. Do drop by a comment and let us know how you like this article!
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by Arjun Mathur

09 Apr'18
What is the Future Scope of Full Stack Developer in India?

11.36K+

What is the Future Scope of Full Stack Developer in India?

Choosing a career in the tech sector can be tricky. You wouldn’t want to choose something that’s getting obsolete. You would want to find a career option that’s in demand and will remain in demand for the coming years. With so many options available, figuring out which one to choose can also be overwhelming. One of those options is full-stack development.  Full-stack developers are experts who are familiar with both client-side and server-side programming. They perform the roles of front-end and back-end developers. While some may argue that they are no specialists, a talented full-stack developer wouldn’t have much trouble handling development projects.  But you might wonder, “What is full stack developer’s future scope?” We’ll answer that question in this article and help you understand how attractive this field is. Let’s dive in.  Check out our free courses to get an edge over the competition. Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript How Full Stack Development has Evolved You might think that full-stack development is a new term, but the concept has existed for a long time. Full-stack development has a fascinating history that goes back to the earliest days of programming. Knowing how much this field has evolved will let you get an idea of how much scope is there.  Since the beginning of software development, when there was no web or mobile programming, the role of full-stack developers has been present. In the early 80s, most of the software developers used to work alone and oversee the entire project from start to finish. Check out upGrad’s Full Stack Development Bootcamp (JS/MERN) There wasn’t much requirement of separate experts. Then the web came, and the need for specialists increased. As websites got more complex, the division between specialists also became distinct.  Things were this way in the 90s and remained this way until the mid-2000s. The term full-stack developer was coined much later, in the 2000s, when the web required the expertise of different expertise. Web applications required people to learn both client-side programming and server-side programming. And when people who studied both of these sectors entered the market, the term full stack developer arrived. Apart from that, tools and technologies that simplified the integration of client-side and server-side programming had entered the market. This helped the growth of full-stack developers.  Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses Full Stack Scope Now Nowadays, full-stack development is in huge demand. Companies need full stack developers because of several reasons. Full-stack developers can work with multiple technologies, and so, they can handle more aspects of a project than an average programmer. Check out upGrad’s Advanced Certification in Cyber Security They cut costs for companies because they can do the work of many specialists alone. A full-stack developer is familiar with many stacks, including the MEAN stack and the LAMP stack. Their vast knowledge of multiple areas equips them to handle the unique requirements of their projects.  The average salary for full-stack developers in India is about 6.3 LPA, and it goes up to 16 LPA for experts. Companies are willing to pay handsome salaries to full-stack developers because of their unique skill sets and abilities. As a full-stack developer, you’ll have to handle both the client-side and the server-side of the application you develop. Read a detailed article about the full stack developers salary in India based on various factors. Huge Demand and Steady Growth The future of full-stack development is attractive. It looks promising because of the steady growth in demand of these professionals. There are many reasons why the demand for full-stack developers is increasing and will keep rising in the coming years. Here are some of those reasons: Smaller Teams With a full-stack developer in the team, you can keep the team short. And smaller teams have many advantages over large ones. Even Jeff Bezos believes that a small team is better than a large staff. A large team requires more communication and more resources. A large team costs more than a small group as well. As they require more communication, the chances of facing problems of miscommunication are also higher in their cases.  A full-stack developer can easily handle the work of 2-3 developers because of his/her expertise. An excellent full-stack developer can handle the requirements of both a front-end developer and a back-end developer. Due to this reason, a company can keep the teams small, avoid miscommunication, and reduce the operating costs. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses upGrad’s Exclusive Digital Marketing Webinar for you – What’s new in Marketing? document.createElement('video'); https://cdn.upgrad.com/blog/rumi-ambastha.mp4   Adaptability Web development is a challenging field. A lot of factors are at play when you’re developing a new product. And the product’s requirements could change at any time. Maybe you found a new framework which can enhance productivity considerably. Or, maybe your team just got smaller because a member got fired. A full-stack developer is a preferred choice in such scenarios because he/she can adapt to these changes quickly.  Whether it’s taking on a new responsibility or making tweaks to the final product, full-stack developers can handle it all. Apart from that, as a full stack developer yourself, you wouldn’t have to worry about working on new projects that pose exciting challenges. After all, they are the “Jack of all Trades” of the sector.  Learn Software Development online from the World’s top Universities. Earn Executive PG Programs, Advanced Certificate Programs or Masters Programs to fast-track your career. New Technologies Development tools and software keep getting new updates for better performance. Even the programming languages get newer versions regularly to ensure they function better and cause less hassle. Most of the time, the new updates help with integrating different tools for enhanced productivity. Read: How to become a full stack developer? An average developer might have to put in a lot of effort to keep up with these new developments. He/she might not know how to approach the original subjects. On the other hand, a full stack developer has to learn the relations between different technologies beforehand. So keeping up with new updates and integrations is an easy task for him/her. Moreover, he/she would already be accustomed to learning new things about web development. That’s why they remain in huge demand. Read our Popular Articles related to Software Development Why Learn to Code? How Learn to Code? How to Install Specific Version of NPM Package? Types of Inheritance in C++ What Should You Know?   Conclusion You must’ve noticed how excellent the prospects are for full-stack developers. As companies are relying more and more on technology and the web, the demand for such experts is increasing. The full stack developer future scope is undoubtedly bright, and it’s the perfect time for anyone to learn this skill.  If you’re interested to learn more about full stack, check out upGrad & IIIT-B’s PG Diploma in Full-stack Software Development which is designed for working professionals and offers 500+ hours of rigorous training, 9+ projects and assignments, IIIT-B Alumni status, practical hands-on capstone projects & job assistance with top firms.
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by Rohit Sharma

26 Jan'20
25+Questions For Your Nagios Interview

6.92K+

25+Questions For Your Nagios Interview

Are you preparing for a DevOps interview? Then you should read these Nagios interview questions and answers.  Nagios is the most popular continuous monitoring software among companies. Companies rely on constant monitoring software to highlight errors and solve problems before they become significant issues. As a DevOps professional, recruiters would expect you to be familiar with all aspects of this powerful software. We’ve compiled a list of the most important Nagios interview questions and answers to help you prepare for your job interview. Feel free to share this list with others.  Check out our free courses to get an edge over the competition. What is Nagios? Nagios is a popular open-source solution that helps in monitoring systems, networks, and applications. It’s a standard DevOps tool, which tracks all the changes taking place in the subject. In case a technical fault arises, it can send alerts to the staff and make them aware of the issue as well. This way, the problem can be solved faster and earlier without it becoming a significant issue.  Nagios provides a centralized view of the complete infrastructure and vies detailed information on its status as well. You can also mention how it benefits organizations and how you can use it to solve the numerous problems related to the specific organization. Check out upGrad’s Advanced Certification in Cloud Computing Nagios helps in understanding where the infrastructure lacks and how you can upgrade it to overcome those problems. You can also mention how it automatically solves the issues detected. Nagios enables you to monitor the whole organization, its infrastructure, and its various processes.  This should answer the question. But you can add more points such as the advantages of using Nagios, and some other applications of Nagios, if required.  Check out upGrad’s Advanced Certification in Blockchain How Nagios helps DevOps Professionals? Nagios helps DevOps problems in tracking down issues and solving them in their early stages. This software solution overlooks every aspect of the infrastructure so it can spot an error and alert the technical team quickly. This way, DevOps professionals don’t have to worry about monitoring the systems for finding problems. They can rely on Nagios to spot the same.  Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses What are the features of Nagios? Nagios has many features.  – Its APIs enable it for monitoring various systems, infrastructures, and applications. – It has add-ons that make you aware of the aging infrastructure and help you in planning upgrades. – You have full access to its code as it is open-source software.  – Its reporting system is fast and agile. It gives you a record of all the alerts and their responses.  – You can view the entire infrastructure of your organization through Nagios while also seeing the detailed information about everything. – Nagios has a vast community of more than a million users. If you come across any problems or have any questions, you can ask them who’d be happy to help.  How does Nagios operate? You can give this explanation as to your answer: Nagios runs as a service on a server It runs plugins on the server which connect with hosts on the network You can see the detailed information of the connected host through its interface In case some issue arises, you would receive an email or another notification Nagios runs scripts at specific times and saves the results of those scripts If the results of running the scripts change, Nagios starts running other scripts  That is how Nagios operates.  What do you mean by ‘Plugins’ in Nagios? Plugins in Nagios are different scripts that check the status of a service or host. You’d run them from the command line. Nagios checks the results from its plugins to see the condition of the various hosts and services present in your network.  You can also explain why plugins are necessary for Nagios.  Nagios requires plugins to check the status of the numerous hosts and services present in a network. A plugin verifies the required host and sends the results of its check to Nagios. Nagios then processes the results and determines whether an action is needed or not.  In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses What is NRPE? NRPE enables you to run plugins on remote Unix and Linux machines. This way, Nagios can monitor local resources such as memory usage and CPU on remote components. Typically, these resources are not given to remote machines; that’s why you’d need to use NRPE.  You can also give an explanation of NRPE architecture for a more detailed answer.  NRPE contains two sections, the NRPE daemon, and the check_NRPE plugin. The former runs on a different computer while the latter remains in the local machine and has an SSL connection between the monitoring machine and the remote machine.  What is a Passive Check?  In Nagios, external processes initiate Passive checks. When they are completed, the results are sent to Nagios. Passive checks help in monitoring asynchronous services. Those services can’t be tracked without regular polling of their status. Passive checks also help Nagios in checking the status of hosts that are behind a firewall as they can’t be verified through a monitoring host.  What are the advantages of using Nagios? Nagios offers plenty of advantages to an organization.  It allows you to plan future upgrades for your existing infrastructure It ensures a technical error in your IT infrastructure has minimum impact It quickly alerts you of any new problems It allows you to monitor the entire system and infrastructure  It coordinates the responses of the technical staff It helps you find out how fast your team responds to technical problems It ensures that SLAs (Service-Level Agreements) of your organization are met What is Icinga? How is it related to Nagios? Icinga is another popular open-source software that helps in monitoring services. It was designed in 2009 to help Nagios, but it has become a separate software.  What is an Active Check? Nagios performs an Active check to poll a device or service for its status information on a scheduled basis.  Can you name a few databases which support Nagios? Many databases support Nagios. They are Oracle, Postgres, Microsoft SQL solutions, and MySQL.  What is Nagios XI? Nagios is the most trusted and most powerful monitoring software. It can help you in monitoring applications, network protocols, systems, services, and metrics. It provides you with all the advantages of Nagios (discussed above) and has a powerful performance.  Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript Is Nagios used to monitor window machines? Yes, Nagios is used to monitor window machines. You can do so by setting-up Nagios for monitoring the required window system and then add a separate server and host for performing the task.  What is OID Nagios? The Simple Network Management Protocol (aka SNMP) uses Object Identifiers for defining the Management Information Base.  What is the Nagios Network Analyzer? The network analyzer is a vital component of Nagios which checks the system for potential dangers. Its quick scan enables the admin to get the required data about the health of the system.  What are the benefits of using Nagios to monitor websites? Nagios can help you monitor websites too. It improves the website’s availability, helps you spot bugs, and you can enhance your site’s performance and avoid online security threats as well with the help of Nagios.  Is Nagios Object-oriented? If so, can you elaborate on what it means? Object-oriented means that you can produce object definitions in Nagios that are inherited from other objects. As Nagios is object-oriented, its relationship with its components remains simple without any intricate details.  Which protocols support Nagios? SMTP Monitoring, POP Monitoring, FTP Monitoring, IPMI Monitoring, DNS Monitoring, and LDAP Monitoring are some of the protocols Nagios supports.  Can you use Nagios for Cloud Monitoring? Yes, you can use Nagios for cloud monitoring. It is one of the most popular monitoring tools available in the market.  What are objects in Nagios? All elements related to the alerting logic and the monitoring process are objects in Nagios.  Name three virtualization platforms that support Nagios. Microsoft Virtual PC, Amazon EC2, and VMware are three of the most popular virtualization platforms supporting Nagios.  What are the object types in Nagios? Nagios has a variety of object types such as host groups, periods, services, hosts, contact, notifications, and commands.  What are the two-state types in Nagios? Soft states and hard states are the two primary state types in Nagios.  Which database format does Nagios support for storing data? Nagios supports the RRD database format for storing status data.  What are the sections of NDO utilities? NDO utilities include FILE2STOCK Utility, NDOMOD Event Broker Module, NDO2DB Daemon, and LOG2NDO Utility.  What are the default credentials in Nagios? The Username and Password are “nagiosadmin” in Nagios as default.  What language does Nagios core use? Nagios core uses PHP and CGI.  What are the required conditions for Nagios to check external commands? Nagios checks for external commands regularly according to the command_check_interval option. In addition to the regular checks, it also checks for external commands when an event handler is executed.  What are the differences between Passive and Active checks? It is one of the most popular Nagios interview questions, so we suggest you prepare the answer thoroughly.  The main difference between Active checks and Passive checks is that Nagios performs the former while an external application performs the latter.  Passive checks monitor services that are located behind a firewall or are asynchronous. Active tests can’t be done on those services or hosts even though Nagios performs them regularly.  How is Nagios related to DevOps? Continuous monitoring is a core component of DevOps and Nagios is a popular tool for the same.  Can you customize charts in Nagios? Yes, you can customize charts through a third-party tool such as Graphite or CACTI. What is the difference between soft and hard states in Nagios? To answer this question, you should define both of these states.  When the results of a host or service are not OK, but it has not been rechecked multiple times according to max_check_attempts, then the error is specified as a Soft error. When a host or service recovers from a Soft Error, it is called Soft Recovery. On the other hand, when the results of a host or service check are not OK even when they have been rechecked several times, according to max_check_attempts, the error is called Hard Error. Recovery from such a kind of error is called Hard Recovery.  upGrad’s Exclusive Software Development Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4   Which three variables affect inheritance and recursion in Nagios? The three variables affecting recursion and inheritance are Name, Use, and Register. The name is a placeholder for other objects. Use specifies the parent object and Register can either have a value of 1 or 0. If the Register has a value of 1, it means it’s an actual object. If it has a value of 0, it means the object is only a template and isn’t a real object.  What is meant by State Stalking? Let us discuss what State Stalking is. State stalking helps in logging. With State Stalking, Nagios watches a particular service or host and log any changes it notices in the check results. You can also add that State Stalking is quite helpful in the analysis of logs. Without State Stalking, Nagios logs a check only when the state is changed between two checks.  What is Flap Detection in Nagios? When a host or service changes its state too frequently, it is called Flapping. Flapping can lead to many problems, which could, in turn, cause many recovery notifications to arise. Nagios checks if a service or host has started flapping during its status check.  Nagios checks for flapping. It does so by storing the results of the previous 21 checks of the specific service or host first. And it analyzes those results to see how frequent state changes occurred. It determines a percent state change value through that data and compares the same to flapping thresholds. When the percent state change is greater than the high threshold for flapping, the object is said to have started flapping. And when the percent state change is lower than the low threshold for flapping the object is said to have stopped flapping.  How would you explain the ‘Machine is Unreachable’ error? When Nagios fails in finding a path to a specific node, it shows this error. The node might be up, but because Nagios can’t access it, it shows the node as unreachable.  Final Thoughts We hope you found these Nagios interview questions helpful. Be sure to prepare all these questions thoroughly.  If you’re interested to learn more about Nagios, check out upGrad & IIIT-B’s PG Diploma in Full-stack Software Development which is designed for working professionals and offers 500+ hours of rigorous training, 9+ projects, and assignments, IIIT-B Alumni status, practical hands-on capstone projects & job assistance with top firms.  
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by Arjun Mathur

30 Jan'20
Continuous Delivery vs. Continuous Deployment: Difference Between

6.22K+

Continuous Delivery vs. Continuous Deployment: Difference Between

Knowing the difference between continuous delivery vs continuous deployment is paramount in today’s rapidly progressing world. That is because your users should be able to update the software without much hassle.  It is something that you are aware of through your smartphone, laptop, or computer software. Software updates for a wide range of applications are a regular occurrence. Without them happening, developments cannot take place.  Check out our free courses to get an edge over the competition. So, what can you do about it? In this internet era, you should be able to meet your user’s requirements in a matter of time. When you rectify errors or issues quickly, you can retain your clients. At the same time, when you find it challenging to do so, it can cause drowning profits.  So, when you opt for the usual slow and obsolete process of finding, analyzing, and planning methods, you are well out of the market. You have lost the plot altogether. To avoid being left out in the lurch, what you require is agile development.  Check out upGrad’s Advanced Certification in Cyber Security  Opt for agile development Agile development is the process or framework where you can test, plan, and eventually implement your ideas. The best part is that you can do it immediately. Instant results are the order of the day.  Those businesses and companies that have embedded agile development into their processing plans stand to gain from it. When you can achieve continuous delivery as well as constant deployment in your solution delivery pipeline, your firm can release the updates efficiently.  For our readers, who are not aware of the difference between continuous delivery and continuous deployment, then we will try and clarify through this post. Not to mention, you will also learn how they fit into an agile environment.  When you want to understand both continuous delivery and continuous deployment, then you must first understand, continuous integration.  Check out upGrad’s Advanced Certification in Cloud Computing  It is an essential element for agile practice.  An Agile Developer knows the significance of implementing this process because it gives them the ability to manage smaller components. This way, they can design quality software. For agile concepts, all the teams know what is going on, unlike the waterfall concept.  Explore our Popular Software Engineering Courses Master of Science in Computer Science from LJMU & IIITB Caltech CTME Cybersecurity Certificate Program Full Stack Development Bootcamp PG Program in Blockchain Executive PG Program in Full Stack Development View All our Courses Below Software Engineering Courses Developers must use deployment automation tool        That is why developers must consider using automation of continuous deployment at the development stage itself. Solutions should be given to ensure that continuous integration and continuous delivery are smoothly handled through a consumption-based model. What is continuous integration? Continuous integration is a process where, several methodologies are used from several sources, automatically to integrate the code for designing and testing purposes. As a DevOps Developer, when your design code can pass the test, then it is deployed automatically.  Further testing is then conducted on your code like manual exploratory test and load test. You would be surprised to know that the process can take several days. It entirely depends on the requirements.  What is continuous delivery? Continuous delivery enables you to design a high-quality version of your code. This classic version helps you to decide when you want to release your software for your clients, based on the feedback. In most cases, the timing of the release matters depending on the market condition.  Continuous delivery vs. continuous deployment It is the main difference between continuous delivery vs continuous deployment. Continuous deployment is the process where the software to be released undergoes an automated pipeline. Developers need not worry about the release, but rather ensure that the code developed, is regularly tested, updated, and then released. More importantly, it must work fine from the client’s end.  The continuous delivery consists of a time lag before the release of the software. The product gets reviewed, and changes, if any, is done before the release. Continuous deployment involves automated testing throughout the entire process until the release of the product.  Explore Our Software Development Free Courses Fundamentals of Cloud Computing JavaScript Basics from the scratch Data Structures and Algorithms Blockchain Technology React for Beginners Core Java Basics Java Node.js for Beginners Advanced JavaScript How can you consolidate delivery and deployment to attain common goals? It is when some developers get tempted to think that continuous deployment may be advantageous for the software. It depends on the CI/CD practices implemented in your organization.  However, there are some constraints that you might want to beware of before making use of continuous deployment. Market conditions and regulatory compliances, usually restrict IT firms from making use of continuous deployment. The levels of the DevOps concepts implemented in an IT firm also dramatically influences the usage of continuous deployment.  Continuous delivery requires manual code changes, and that can delay in the deadline for deploying the code.  But, there are some benefits to using it. IT firms may want to consider using continuous delivery because of the convenience. It enables IT firms to have a competitive advantage for deploying the code, ably supported by human intelligence.  Developers can come up with many new features that can be designed and ready for implementation. It enables them to develop robust and resilient systems. What this does is, reduces the production costs, and allows developers to improve the quality of the product.  But, continuous delivery and continuous deployment may not be that relevant in some areas of work. You may not require a deployment phase when contributing to a library or designing an artifact. In-Demand Software Development Skills JavaScript Courses Core Java Courses Data Structures Courses Node.js Courses SQL Courses Full stack development Courses NFT Courses DevOps Courses Big Data Courses React.js Courses Cyber Security Courses Cloud Computing Courses Database Design Courses Python Courses Cryptocurrency Courses Likewise, many web applications do not have to come up with a design and deploy phases. These days, there is a new development for designing high-end tools for application release that can effectively manage software releases. Few of them include: Packaging of the applications  The version of the release  When updating the database  Managing the configuration of the server  Rollback and roll forward  Auditing and access for security purposes To summarise, the main difference between continuous delivery vs continuous deployment would be that continuous delivery is the ability to release a version on any platform. On the other hand, continuous deployment is your ability to deploy the versions continuously.  Both the concepts need a framework, where you can work on small, but effective changes that can be implemented immediately in the market. It would help if you learned how your updates had affected the users, in a good and bad way.  You will need to communicate with your clients to achieve what you intend to by finding out how it helped or did not help them. However, to make that, you need to bring value to your users.  upGrad’s Exclusive Software Development Webinar for you – SAAS Business – What is So Different? document.createElement('video'); https://cdn.upgrad.com/blog/mausmi-ambastha.mp4   Do you want to learn more? If you are keen on developing your DevOps skills and learning more about the continuous delivery vs continuous deployment, then we would recommend you take up courses taught from an online higher education platform.  Only a handful of these online education platforms have tie-ups and partnerships with universities like IIT Madras, IIIT-B, MICA, NMIMS, and Cambridge Judge Business School Executive Education. When they certify you, it elevates your knowledge and enables you to stand out from the crowd. The above-mentioned reasons are why an online course in full-stack software development can kickstart your career in tech, especially if you are looking to switch lanes.
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by Rohit Sharma

05 Feb'20