Embracing on DevOps Journey? 10 Key Concepts to Know! (Infographic)
As you move forward in DevOps implementation journey, there are some key terms and concepts that would require special attention for achieving desired results.
Remember! More than a technology, DevOps is a cultural framework that involves strong collaboration and communication among teams. It is more of a culture that backs technology.
Top 10 Core Concepts of DevOps for Businesses
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1) Scrum
This is a lightweight, iterative and incremental agile framework in a software development environment that breaks down complex processes and facilitates effective team collaboration. Break the workloads into individual goals that can be completed in time-bound iterations called sprint plans that last for weeks period.
2) DevOps Engineer
This is the role that possesses a complete understanding of SDLC, along with knowledge on tools resources that contribute to the development of digital CI/CD pipelines. They are developers with interest in deployment and network operations or system admins with scripting and coding knowledge. They work with both Dev and Ops (IT staff) to ensure code releases on time.
3) Continuous Testing
This is a crucial part of the DevOps lifecycle. With automated test case part of the build process, the continuous testing mechanism helps teams address issues immediately before the process gets into production. However, continuous testing needs automation support to perform at its best and keep up with the pace of SDLC.
4) Test-driven Development
This is a process that developers do, where they first write an automated test case (that might fail) before writing functional code. Then writes the code to succeed in the test and finally refactor the code in line with the set standards. This involves five steps: Add test, Run test (check for errors), Write code, Run test, Refactor code and Repeat.
5) Regression Testing
This is end-to-end testing of an application and software to ensure they are perfect in terms of code, functionality, security and more. This is like re-running all the functional and non-functional tests to finally ensure the software works even after changes. This can include checking bugs, software enhancements, configuration changes and more.
6) Static Application Security Testing (SAST)
As the name suggests, SAST tests the code in and out in the non-running state. This process analyses applications in terms of byte code, source code and binaries for coding and design conditions that are vulnerable to security threats. SAST solutions help perform incremental tests within the SDLC stage itself.
7) Integrated Application Security Testing (IAST)
This implementation comes before the application is deployed, in spotting deployment configuration-related issues identified in functional testing. IAST verifies how different pieces of an application work individually and together in a runtime scenario. Reporting vulnerabilities in real-time, this process doesn’t add delayed instances to your CI/CD pipeline.
8) Dynamic Application Security Testing (DAST)
In contrast to SAST, DAST tools verify application performance in real-time. Termed as black-box testing, here testers test the app from outside about its functionality and its vulnerability to potential threats. They cannot track what’s happening inside the application and doesn’t offer code-level guidance. Moreover, they involve longer timeframes, which make them optional for a DevOps environment.
9) Rollback
Rollback mechanism helps DevOps teams to revert a build to its prior instance, in case of any issue with the new release that can harm the production environment. Effective rollback implementation is always backed by strong architecture support, preferably a componentized or a service-based architecture.
Rollbacks can be performed as part of tests or during QA process.
10) Failing Forward
Looking back every time when an issue arises in a release is bit a herculean task. Doing so is difficult and time-consuming. So, the solution is failing forward, where you will need a new production environment in parallel to handle issues that come in build running in the existing one. Here, the traffic is distributed to the new system using a canary rollout process and the existing system continues its way.
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