Components of a DevOps pipeline

Category: Technical

Tag: Internet/Networking

Posted on 2022-05-25, by divlsngh.


Continuous integration (CI/CD)

Continuous integration is the process of regularly making commits to a shared repository of source code. It is continuously integrating code changes into the existing code base to ensure that any conflicts that arise between developer's changes to code are swiftly recognized and are relatively simple to resolve. This practice is vital for maximizing the efficiency of deployment. If you’re unfamiliar with DevOps and are looking to understand the principles, you can think about the DevOps Training

Our belief is that trunk-based development is an essential part of continuous integration. If you're not making regular commits to a shared branch in the shared repository of source code and you're not performing continuous integration. When your building and testing processes are automated , but you have developers who are working on separate features that are rarely joined into an integrated branch, then you are not performing continuous integration.

Continuous delivery assures it is certain that the "main" as well as the "trunk" branches of the application's source code remains in a state that is releasable. That is the case where management walked up to your desk at 4:30 pm on a Friday and told you, "We need the latest version that's out immediately," that version could be released with the click of a button without worry about failing.

This means creating an environment that is as as identical to the production setting as is possible, and making sure that automated tests are run to ensure that every possible element that could lead to an error is discovered prior to integrating code into the main branch or trunk.

Continuous deployment  involves being able to conduct continuous testing and operation that are so secure, new versions of software can be tested and then deployed into production environments without any human involvement.

It is not common and often unneeded. It's usually only unicorn companies that have hundreds or even thousands of developers, and release a lot of releases every day that need or want to be able to use this kind of automation.

To help you understand the difference of continuous delivery and continuous deployment consider deployment as being the FedEx person who hands you an item and deployment when you are open the box and utilizing the contents. If a modification to the product is needed within the time between when you receive the box and the time you get it open, the company has a problem!

Continuous feedback

The biggest issue of the waterfall method of software development -- and the reason the reason agile methods were developed in the first place -- was the lack of prompt feedback. In the past, when new functions took months and even years to be developed from concept to execution, it was nearly certain that the result was not what the client wanted or desired. Agile has succeeded in ensuring that developers got faster feedback from the stakeholders. Now , with DevOps that developers get constant feedback, not just from the stakeholders, but also through continuous testing and monitoring of their code within the pipeline.

Continuous testing is an essential element of any DevOps pipeline, and is one of the key facilitators of continuous feedback. In the DevOps process, the changes go constantly from development through testing and deployment, leading not just to more rapid releases but also to a more quality product. This means that you have automated tests in your entire pipeline, which includes Unit tests, which are run for every modification to the build test cases, tests for functionality and tests that run from end-to-end.

Continuous monitoring is a crucial aspect in continuous feedback. A DevOps method involves using continuous monitoring of the staging as well as testing, and development environments. Sometimes, it is beneficial to observe environments prior to production for unusual behaviour, but generally this approach is used to continually evaluate the performance and health of production-ready applications.

Many tools and services are available that can provide this capability This could involve monitoring your cloud or on-premise infrastructure, such as servers, networking resources and more. as well as the efficiency of your app or the APIs it uses.

Continuous operation

Continuous operation is new term that is not as well-known and definitions can vary. One way to think of it is to define it as "continuous operational uptime". In the instance that you have a blue-green deployment plan that has two distinct production environments, one of which can be described as "blue" (publicly available) and the other "green" (not publically accessible). In this case the new code would be installed in the green environment after which, if it is confirmed to be working, the switch would be turned off (usually with a load-balancer) and the traffic would be switched to that "blue" environment into"green" system "green" process. This means there is no downtime for end-users.

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