Devops Periodic Table: The Table of DevOps Tools [2021]

DevOps is a widely heard term in today’s market as the majority of the enterprises have opted to use the DevOps tools. Still many enterprises require a presentation for understanding the developments involved with using the DevOps tools. DevOps include social advancement which is a breakdown of the dividers and the storehouses between programming and activities with the tools and new techniques that empower these changes.

DevOps tools have speeded up the change in programming makers put up their applications and advance the applications for further sale to the public. The primary motivation for using DevOps tools as said by the majority of users is its quick development.

The Periodic Table of DevOps Tools is considered to be a dynamic, implant capable, and tastefully satisfying gadget that enables the clients to picture the most mainstream DevOps tools, characterize them, and sort each of those tools by usefulness and their pricing model. No matter what sort of tool you are looking for, it is just a one-stop look for the majority of the major DevOps tools branding whether it be an Open Source CI device or an Enterprise Testing tool.

Xebia Labs have reached a whole new level with the characterizing of the DevOps tools, it has gathered all the components of DevOps tools and has given shading coded connections to graphic website pages which would clarify where they fall in the overall DevOps process.

The users of the Periodic Table of DevOps will be able to see how all the tools have been differentiated from each other but can still be identified by their classification along with its pricing model which is either open-source, or free, or paid or enterprise. The interesting part of the Periodic table is that it keeps updating as the people keep casting their votes for their favorite tool and suggest tools that are not present on the Periodic table.

1. Coding Tools

When starting to develop an application using DevOps tools, the first step involved is to build codes as every application has its codes running in the background which keeps updating from time to time. The coding tools help the user to identify which user has made what change at what time.

2. Automation of Databases

Automation of database is the self updation of unattended processes of the administrative tasks in the database which can increase the reliability and the speed of the application. Without such a tool, it would be humanly impossible for the developers to manage all the tasks in the database with speed.

3. Continuous Integration

Continuous integration one of the most important tools as every integration is verified by an automated build that detects the integration as soon as it occurs. Choosing a reliable integrating method is important to detect errors faster.

4. Configuration

Configuration tools can help the user handle all the changes with ease and in a systematic manner. It also ensures that the system is in a good state and whether the integrity is maintained all the time.

5. Testing and Development

The application needs to be tested once it is built. It needs to be check for bugs and if bugs are found then they need to be resolved. There are software testing tools that go through many steps like unit testing, integration testing, system testing, and acceptance testing to ensure the proper working of the application. Deployment is the next step where the application is rolled into the production department using the production tools available.

6. Orchestration Release

Orchestration release is the process of automating, orchestrating, and managing all the end to end software pipelines present. These tools help the developers to make the maximum use of all the tools used during the development of the application.

7. Clouding

Clouding is the storage of data over the internet rather than any hard drive. The usage of cloud tools has rapidly increased in these recent few years. Even if the hard drive is misplaced or damaged, the data can still be safe on the cloud tool.

8. Artificial Intelligence

Artificial Intelligence tools are broadly used to analyze the data of an application using Big Data and Machine Learning concepts.

9. Analysis

The analysis is the process that is used to analyze all the data present in the application. The main usage of Analysis tools is to analyze the data and to generate insightful reports of the application on a regular basis.

10. Continuous Monitoring

Continuous monitoring of the application is required once it is rolled out for production. The main objective of the continuous monitoring tools is to check whether the performance of the application is good, whether the application takes less time to load, and has minimum buffering, all the features and functions of the application are at the optimum state, and other important factors related to the application.

11. Security

The number of threats and the vulnerability to every application is increasing day by day. Reliable security tools can help the application stay secure and protected from several cyber attacks.

12. Collaboration

In today’s world, an application is not given enough importance if it turns out to be of only one use. It just irritates the user to use different applications for different interrelated purposes. Collaborative tools help the application collaborate with other applications which at the end benefits both the applications.


The usage of the Periodic Table of DevOps has clearly established the fact that DevOps is going to be the future of IT in this fast-growing world. The periodic table of DevOp clearly solves all the issues faced by any developer while developing an application.

With the process of workflow getting streamlined with consideration with the development and the production, an application developer has the power to achieve a lot more once he decides to use the right DevOp tool from the Periodic Table of DevOps. This Periodic Table by DevOp can be considered as an evolutionary step in that direction.

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