Future Scope of DevOps – 9 Reasons To Learn DevOps in 2023

DevOps has a great and promising future. The practical applications of DevOps are increasing day by day. Let’s discuss the future of DevOps in different areas of the IT industry and where most opportunities lie. The demand for DevOps is well reflected in the salary of DevOps Engineer in India.

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DevOps is the automation of the process in an organisation. The DevOps engineers carry out this process and to carry forward the task, they understand various aspects of DevOps as well such as its culture, philosophies, and tools. Most companies in today’s times use DevOps to automate tasks. Companies like Netflix, Google, and Amazon use DevOps to increase the productivity and efficiency of their teams.

There are frequent questions like ‘What is devops technology?’ so to answer that, the DevOps allows for creating faster and smoother development of the apps. Also, the deployment also becomes easier with the use of DevOps. It is a continuous process to take out the last mile delivery. DevOps is a continuous process of delivery and integration where automation can be executed. It makes sure to test, develop, and operate by taking the lesser time. The changes that take place during development, integration, automation, etc seem to be more stable. DevOps has various processes attached to it such as coding to develop, building and integration, ongoing testing, reporting the risks for better development, configuration, monitoring, etc. 

There is a growing market for DevOps in today’s time the market is expected to reach US$ 287.9 billion by 2026 (Source). There are various roles and responsibilities that are available in the market for DevOps professionals such as DevOps Engineer, Platform Engineer, Building Engineer, Platform Engineer, etc. Devops engineer salary in the market is  The salary of a DevOps engineer ranges from 4.2 lakhs to 12.3 lakhs and the average salary is 6.0 LPA (Source).  So the apprehension ‘Is devops a good career?’ gets answered.

In the DevOps roadmap 2022 to a successful career in the industry, the learners need to focus on building relevant skills that accelerate one’s careers. Enough time should be invested in learning skillsets, some of which are mentioned below-

1. Programming languages (Python, Ruby, Rust, Node.js, etc.)
2. Understanding concepts of OS (Process management, Sockets, Threads and Concurrency, etc.)
3. Understanding version control systems
4. Managing servers
5. Linus Concepts
6. Web Server Concepts
7. Infrastructure as a code
8. Configuration of software
9. Deploy
10. CI/CD Pipelines
11. Application Monitoring
12. Cloud providers and services
13. Cloud patterns

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The Trends and Future of DevOps

1. DevOps in the Security Field 

The field of security is peculiar because the more you automate, the higher chances of automating problems too. So all automation being done in this area is intrinsically controlled, and this brings enormous scope for DevOps philosophy.

Implementation of DevOps should ensure the security of the product being developed in production and even int the test environments. This stands as the governance and codes of ethics of DevOps philosophy. DevOps must ensure security protocols that ensure the application’s integrity and conformance with the security policies of the company.

Security is of the utmost importance for any organization today. Data is central to businesses and they want to protect it from any unauthorized access. The data could be either the company’s data or the user’s which the organization does not aim to compromise with. DevOps is also utilized to safeguard the application that is aligned with the terms and conditions of the organization’s policies.

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To ensure the safety of the system, the DevOps engineers decipher the potential threats the system is prone to and brainstorm about them. And in order to safeguard the system from threats the engineering focus on creating processes immune to breaches. They invest time in coding and continuous security testing to safeguard the system. Various other measures are also carried forward, such as monitoring and conducting a security development lifecycle (SDL).

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2. AI/ML in the DevOps Framework

The software development life cycle is revolutionized with the DevOps methodology, cloud-native approach, and microservices architecture. DevOps integrates testing and production environments, and developers get to see the problems before applications go live.

Applying AI and ML to the DevOps pipelines can help you run builds and automation in a much better with closer insights a control. People are moving from DevOps to DataOps and AIOps, which focus on the use of artificial intelligence and machine learning to learn from logs and monitoring metrics to drive the DevOps in a controlled fashion.

Tools like Moogsoft and BigPanda are market pioneers in AIOps that collect data from different monitoring and logging systems, apply artificial intelligence to it, and provide the engineer with more detailed insights and actionable data. Read more about DevOps tools. DevOps is maturing with AI making like simpler for developers, operations guys, and the DevOps engineers.

Technology is getting matured with each passing day, and AI/ ML brings a revolution in the digital world. Artificial intelligence allows organisations to work with a huge volume of data. The enormous amount of data can be scanned very quickly. The configuration is done quickly reducing any scope of human-induced errors that reduce the cost and increase productivity. 

There is a lot of scope in the AI/ ML industry where engineers can use the technology to increase the efficiency of tasks. The AI/ ML in the DevOps can be used in quality checking, tracking the progress of the application, increasing the security of productions, the threats can be detected early by running processes or algorithms to prevent damage to the process, and many more.

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3. Automation for Every Company

In today’s world, everything happens over the internet. Most companies are changing to be like IT company that provides some particular services. For example, booking.com was a travel company that now functions as an IT company that provides travel services.

For every company, its software is the critical element that brings in sales and business. Hence automation of software deployment and infrastructure provisioning is key to all modern businesses. It plays a crucial role in improving efficiency and bringing out the best software. DevOps methodologies thus play a significant role in all modern companies today.

Automation of the software is becoming important to companies, there are many advantages attached to it, for example, the reduction in errors. In manual functioning, there are lot many scopes for errors that are human-induced and those errors become a setback to the process where the time, cost, or resources are over utilised. But automation reduces the scope of an error where it saves time, effort, and cost, and utilise the resources well and in the end, it enhances the productivity of the team. The automation increases the feedback loops among development and operations teams. Because of this feature, new features can be deployed faster which enhances the quality. The automation allows the faster development of the products that address the existing problem and quicker maintenance of the existing systems.

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4. Container Technology

Container technology is evolving and emerging faster than before. Containers can be used in various ways to provide different benefits. Containers can be used to sandbox applications for security and resource constraints. Research is going around using containers per user or user session.

This idea brings a limitless array of opportunities for improving user security, system security, and performing user analytics. As containerization technology improves, containers will become more cost-effective to deploy.

All the software components are put into one unit that is a container and this is what container technology is. And this single container is used to run all the microservices to the large services. And this container and unit hold everything such as codes, libraries, configuration information, etc that are used for smoother deployment of the software across the network.

These containers are very lightweight that they can be very easily deployed across the systems without adding any extra load. These containers can be deployed to multiple operating systems as well. They share the same host operating systems rather than requiring multiple operating systems. This adds to another advantage of using container technology. 

5. Platform as a Service (PaaS)

Platform as a service (PaaS) is a growing field with a lot of applications for DevOps concepts. Gone are those days when people worried about building an entire infrastructure for the application. Today people only ask for the platform on which their applications can be hosted.

DevOps has a lot of applications in providing PaaS solutions in terms of configuration management, continuous security, and containerization. Whose knows, in the coming days, the technology might very well improve that developers would only need to define a couple of markers or entry points in their application, and this alone would be sufficient for the application to be hosted or deployed by itself. 

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Platform as a Service (PaaS) is a cloud computing model that provides a platform as a service to the users. The platforms that are developed allow the users or the organsations to utilise the platforms to build, innovate, develop, or run their applications according to the business needs. 

PaaS provides an ecosystem that is browser-based. It is a very advantageous feature that allows the users to develop the platform for their business growth. And this platform can be developed using the technology of Application Programming Interface or point-and-click tools.

PaaS provides the system that allows the users to build platforms that are scalable and secure which adds to more acceptance of PaaS. The business can develop applications rapidly making the organsiations more agile. This is facilitated by the continuous integration and deployment that the technology uses. Some of the examples of PaaS are Azure, AWS, Digital Ocean, Beanstalk, etc. Just to explain a few Azure is commonly known as Windows Azure provides many cloud services that facilitate computing, networking, storage, etc. Azure DevOps scope is really high as the demand for Azure professionals is increasing and going upwards.

Platform as a Service (PaaS) is a cloud computing model that provides a platform as a service to the users. The platforms that are developed allow the users or the organsations to utilise the platforms to build, innovate, develop, or run their applications according to the business needs. 

PaaS provides an ecosystem that is browser-based. It is a very advantageous feature that allows the users to develop the platform for their business growth. And this platform can be developed using the technology of Application Programming Interface or point-and-click tools.

PaaS provides the system that allows the users to build platforms that are scalable and secure which adds to more acceptance of PaaS. The business can develop applications rapidly making the organsiations more agile. This is facilitated by the continuous integration and deployment that the technology uses. Some of the examples of PaaS are Azure, AWS, Digital Ocean, Beanstalk, etc. Just to explain a few Azure is commonly known as Windows Azure provides many cloud services that facilitate computing, networking, storage, etc. Azure DevOps scope is really high as the demand for Azure professionals is increasing and going upwards.

6. DevOps and Focus on Integration Between Edge Services

The traditional model of on-premises is clearly changing. In the last few years, companies have moved to Infrastructure as a service (IaaS), Database as a Service (DBaaS), and Platform as a Service (Paas) solutions. With cloud technologies pitching in heavily and containerization technologies going widespread, DevOps has to play a significant role in the integration of all these services that are hosted on different platforms.

Public clouds are gaining popularity and acceptance, and today, even traditional companies are moving to cloud-based solutions because of the cost savings that they can offer. Companies are now planning to use configuration management tools along with container technologies to fully automate infrastructure provisioning and management. This calls for a bright future for DevOps.

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7. DevOps Will Play a Role in Seamless Security Integration

Most of the security breaches result from the vulnerability at the application layer. Companies are now trying to adopt a mature and secure software development approach that helps to evade all these threats. Companies are currently moving towards a programmatic approach to application security that embeds security in the early stages of the software development lifecycle.

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Companies want a security approach that goes beyond just scanning and fixing security flaws. DevOps can play a vital role here. With the continuous security philosophy, DevOps can enable seamless security integration to allow the development teams to develop secure software code faster than before. DevOps continuous security ensures testings are done along the development lifecycle and not at the end of it.

Thus developers will be able to find code bugs during the development phase itself, ensuring the security of the software before the formal test phase.

The security operations are used for increasing the security of the system. There are many potential threats that the systems are prone to. Engineers run many functions that detect potential breaches or threats to the systems. The security of the data can be secured by these operating systems. 

The secure cultures that are adopted by the engineers bring more credibility to the system. This brings more control to vulnerability management. And security management can be inculcated in all the steps of the software.

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8. Job as a Code

The development-to-operations handshake is still a manual and tedious process. In 2019, it is expected that the DevOps philosophy would emphasize “jobs-as-code” in the software delivery lifecycle. This could act as coding automation instrumentation. This approach with the Infrastructure as a Code methodology and CI/CD pipelines will help reduce the time gap for the development-to-operations handshake.

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Job as a Code brings more features to the DevOps technology where more integration of version control, test control, and maintenance control can be initiated.  This defines how the applications run on automation. This basically defines “Automation rules”. 

Some of the examples of the Job as a code are warehouse management, customer billing, etc. These rules define how to run, what to run, identification of success or failure, and what strategy to use to address the failure. In the earlier times, there was no scope to identify the gaps in the technology in the development stage, and this contributed to wasted efforts, more cost, and time which reduces the productivity of the team. 

But now with a job as a code technology, the developers can use the technology in the continuous process and test or run the applications while building. Control M or AI is used to include consistency in the application development, testing, and securing process. It increases productivity, saves time, automates scheduling, etc.

9. Containers Will Override Configuration Management

In 2019, the world of DevOps is being shaken by container orchestration platforms. Container orchestration mechanisms are so powerful that they can grow to replace configuration management tools like Ansible, Chef, and Puppet.

Kubernetes is today the best known and most widely used container orchestration system, but many more are yet to hit the industry. If appropriately implemented, container orchestration systems can simplify the infrastructure provisioning and many of the complexities around it.

The DevOps world will have to adopt this new method of Infrastructure as Code. The industry will also move towards standardizing the frameworks for software versions minimizing the need for software configurations. For example, companies can release different docker images of the same software with different configurations as per customer needs. Thus the need for configuration management tools will get reduced. 

Conclusion

The future of DevOps is very promising, and many more companies are set to accept this methodology. DevOps methodologies are themselves changing with new tools and technologies coming in. We hope, in this article, we have discussed ideas around DevOps future scope and how it is going to revolutionize the industry further. 

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