DevOps | MINDIII
Applying the DevOps methods is the best practice for providing the most valued technology and services to customers. DevOps is the union of technology, process, and people.
What Is DevOps?
DevOps stands for combination of practices and tools designed for the improvement of the work process and work speed as compared to traditional software development process. It organized the traditional working process into modern and secure software development process. In the model of DevOps, development and operations team work collaboratively across the entire software application life cycle and this process gives a better understanding for all software developing teams and its result is directly shown in software in the form of code Quality, product delivery time and overall software developing process.
How does DevOps Works?
As you know that DevOps is the set of practice, tools, and cultural philosophy that play the integrator role between the software development and entire IT team. It collaborates the process of software development, technology automation and does cross-team communication among all teams. A DevOps engineer plays a major role in the Software developer team, so here we have a separate DevOps team which makes the entire software development and operation process.
Benefits of DevOps
How DevOps works: The DevOps lifecycle
The DevOps lifecycle (sometimes called the continuous delivery pipeline, when portrayed in a linear fashion) is a series of iterative, automated development processes, or workflows, executed within a larger, automated, and iterative development lifecycle designed to optimize the rapid delivery of high-quality software. The name and number of workflows can differ depending on whom you ask, but they typically boil down to these six: The DevOps lifecycle follows a complete path which makes a full software development process and this process is done by following steps.
Planning (or ideation)
In the first phase of DevOps process schedule planning and task tracking tools ensure the DevOps team knows what tasks are at hand, and which are currently being done and what all is in the pipeline for the next step. It finds the new scope for the team to search out the new features and functionality in the next release. Tools like Confluence and Jira help DevOps teams achieve a seamless and efficient project management cycle and ensure timely product delivery.
It defines that features are running smoothly and that there are no interruptions in service.
CI/CD pipeline engines
CI/CD enables DevOps teams to frequently validate and deliver application applications to the end-user through automation during the development lifecycle. in this workflow the new code is integrated into the existing code base, then tested and packaged into an executable for deployment. here are some common tools for CI, CD, or both including Jenkins, GitLab and CircleCI.
Usually, it’s called continuous deployment. and here the runtime build output is deployed to the runtime environment means a development environment where runtime tests are executed for quality, compliance, and security.
In this programming step, developers write the code, test and build new and enhanced features, based on user stories and work items in the backlog. A combination of the practices like test-driven development (TDD), pair programming, and peer code review. Docker containerization ensures consistency across multiple developments and release cycles and provides repeatable development, build, test, and production environments. And other popular tools for this phase include Kubernetes, Terraform, Chef, Ansible, and Puppet.
This workflow is also called the continuous feedback, this workflow consists of the feedback from end-users and customers on features, performance and business value to take back to planning for the enhancements.
Describe the all testing phases elements like development (unit testing, contract testing), integration (static code scans, CVE scans, linting), deployment (smoke testing, penetration testing, configuration testing), operation(chaos testing, compliance testing), learning (A/B testing).
A company frames compliance rules to meet regulatory requirements such as HIPAA, SOX, GDPR, etc. DevOps and Compliance managers ensure there aren’t any compliance problems from disorderly development workflows.