Here it is: What is DevOps and the DevOps Lifecycle - Expert Opinion [UPDATED] !

  Onique Campbell

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What is DevOps?

DevOps is a software development methodology that involves continuous development, continuous testing, continuous integration, continuous deployment, and continuous monitoring of software throughout the development lifecycle.

These activities can only be achieved in DevOps, not Agile or Waterfall, which is why top internet companies have chosen DevOps as the way forward for their business goals. DevOps is the preferred method for developing high-quality software in a short development cycle, which can increase customer satisfaction.

Without understanding the DevOps life cycle, the understanding of DevOps will also be one-sided. Let's now look at the [ccna certification2023] DevOps lifecycle and explore how they relate to the software development phases shown in the diagram below.

What is DevOps?
Image Representation: What is DevOps?

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1. Continuous Development

This is the stage of continuous development of software in the DevOps lifecycle.

Unlike the waterfall model, software deliverables are broken down into multiple task nodes with short development cycles, developed and delivered in a very short period of time.

This phase includes the coding and building phases and uses tools like Git and SVN to maintain different versions of the code, as well as tools like Ant, Maven, Gradle to build/package the code into executable files that can be forwarded to automated testing systems for processing test.

Video Representation: What is DevOps?

2. Continuous Testing

During this phase, the developed software will be continuously tested for bugs.

For continuous testing, use automated testing tools like Selenium, TestNG, JUnit, etc.

These tools allow quality management systems to test multiple codebases in full parallel to ensure there are no defects in functionality.

Simulating a "test environment" in real time using Docker containers is also preferred at this stage.

Once the code tests pass, it continuously integrates with the existing code.

3. Continuous Integration

This is the stage where code supporting new functionality integrates with existing code.

As the software is constantly being developed, the updated code needs to be continuously integrated and smoothly integrated with the system to reflect changes to the end user's needs.

The changed code should also ensure that there are no errors in the runtime environment, allowing us to test the change and check how it reacts with other changes.

Jenkins is a very popular tool for continuous integration. Using Jenkins, the latest code revision can be pulled from a git repository and a build can be generated that can eventually be deployed to a test or production server.

It can be set to trigger new builds automatically when changes are made in the git repository, or manually when a button is clicked.

4. Continuous Deployment

It is the stage of deploying the code to production.

Here we make sure the code is deployed correctly on all servers. If any features are added or new features are introduced, then you should be ready for more website traffic.

Therefore, it is also the responsibility of the system operator to expand the server to accommodate more users.

Since new code is deployed continuously, configuration management tools can perform tasks quickly and frequently.

Puppet, Chef, Salt Stack and Ansible are some of the popular tools used at this stage.

Containerization tools also play an important role in the deployment phase. Docker and Vagrant are popular tools that help achieve consistency across development, testing, staging, and production environments.

Among other things, they help to easily scale up and down instances.

5. Continuous Monitoring

This is a very critical phase in the DevOps life cycle and aims to improve the quality of software by monitoring its performance.

This practice involves the involvement of an operations team who will monitor user activity for errors/any inappropriate behavior of the system.

This can also be achieved by using a dedicated monitoring tool that will continuously monitor application performance and highlight issues.

Some of the popular tools used are Splunk, ELK Stack, Nagios, New Relic and Sensu.

These tools help closely monitor applications and servers to proactively check the health of the system.

They can also increase productivity and improve system reliability, thereby reducing IT support costs.

Any major issues found can be reported to the development team so that they can be fixed during the continuous development phase.

These DevOps phases are continuously cycled until the desired product quality is achieved. wesite: spotoclub

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