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DevOps Lifecycle: Definition, Phases

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06th Feb, 2024
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    DevOps Lifecycle: Definition, Phases

    DevOps is an approach to software development that emphasizes collaboration and communication between software developers, IT professionals, and business stakeholders. It aims to reduce the time, cost, and risk of software development while improving the quality of the final products.

    DevOps is not just a technical concept. It's also a way of thinking about software development and operations holistically. The DevOps life cycle is designed to cover all aspects of application development and deployment, including change management, testing, monitoring, and other quality assurance processes. This article will look at some of the phases in the development lifecycle.

    It is a relatively new concept in IT departments. Still, it has been gaining popularity over the past few years because it helps companies reduce costs, improve efficiency and improve customer service by reducing downtime caused by errors. 

    What is DevOps?

    DevOps is a software development process that emphasizes the time-saving benefits of continuous integration, deployment, and measurement. It's a cultural and professional movement that seeks to optimize the flow of work between software developers and IT operations to create high-quality applications faster. The DevOps lifecycle phases are in order from left to right, with each phase building upon the last. 

    DevOps is a set of principles that enable organizations to automate services, push features out quickly to customers and resolve issues faster than ever before. 

    It is about automating the process of building, testing, deploying, and maintaining applications to reduce time-to-market for new features and functionality. DevOps also aims to increase application reliability by making it easier for developers to build features quickly without breaking existing functionality. 

    DevOps has become a hot topic in recent years because it's an approach that can help companies deliver software faster without sacrificing quality. It allows organizations to develop, test and deploy applications more quickly while providing better service to customers. To achieve a good job, students can take DevOps training courses online. 

    What is DevOps Lifecycle?

    DevOps Lifecycle is a methodology software development teams use to bring products to market more quickly and efficiently. It's a way of managing the entire software lifecycle from development through release, focusing on collaboration between developers and IT operations professionals. Constant software creation, development, verification, release, and management are part of the DevOps lifecycle.

    The DevOps strategy supports innovative thinking, speed, and adaptability to produce, verify, utilize, and develop software applications. To innovate goods, services, and operations, encourages a spirit of innovation, review, and continuous improvement. To adopt DevOps, though, a thorough grasp of the various stages of the DevSecOps lifecycle is required.

    Engineers should be completely informed of all steps of the DevOps lifecycle to produce quick results. The complete development approach can be time-consuming and difficult when they're not. Every element of the DevOps lifecycle is broken down and analyzed in detail here. You can enroll for DevOps training courses online to improve your skills. 

    Let's take a quick look at how the DevOps lifecycle functions at each step.

    1. Plan - Professionals determine the commercial need and gather end-user opinions throughout this level. In this step, they design a project plan to optimize business impact and produce the intended result.
    2. Code - During this point, the code is being developed. To simplify the design process, the developer team employ lifecycle DevOps tools and extensions like Git that assist them in preventing safety problems and bad coding standards.
    3. Build - After programmers have completed their task, they use tools such as Maven and Gradle to submit the code to the common code source.
    4. Test - To assure software integrity, the product is first delivered to the test platform to execute various sorts of screening such as user acceptability testing, safety testing, integration checking, speed testing, and so on, utilizing tools such as JUnit, Selenium, etc. 
    5. Release - At this point, the build is prepared to be deployed in the operational environment. The DevOps department prepares updates or sends several versions to production when the build satisfies all checks based on the organizational demands.
    6. Deploy - At this point, Infrastructure-as-Code assists in creating the operational infrastructure and subsequently publishes the build using various DevOps lifecycle tools.
    7. Operate - This version is now convenient for users to utilize. With tools including Chef, the management department take care of server configuration and deployment at this point. 
    8. Monitor - The DevOps workflow is observed at this level depending on data gathered from consumer behavior, application efficiency, and other sources. The ability to observe the complete surroundings aids teams in identifying bottlenecks affecting the production and operations teams' performance.

    The application lifecycle management DevOps offer a platform for software creation as well as ongoing software administration. Learn more about DevOps by enrolling for best DevOps certification online. 

    Phases of DevOps Lifecycle

    DevOps is a methodology that aims to optimize the process of software development and operation. It is an approach that helps organizations produce software products and services faster while meeting customer expectations.  

    Everything in DevOps is ongoing, from strategy to maintenance, as we mentioned previously. Now, let's split out the entire lifespan into seven stages, using stability as the focus. Every DevOps life cycle phase can repeat several times across the program until it is completed. The goal is to create an environment where code can move quickly through the pipeline while maintaining high-quality levels.

    1. Continuous improvement 

    The phase is critical in defining the overall strategy for the software development lifecycle. It relies mostly on program design and programming. Program needs are obtained and addressed with partners at this stage. Furthermore, for continual software design, the item backlog is managed to depend on customer response and is divided down into shorter versions and goals. 

    Once the team has agreed on the company requirements, the production team begins programming for the desired criteria. It's a continual procedure in which programmers must code the program's requirements anytime shift or if there are any areas for improvement. 

    The production group needs certain DevOps lifecycle tools for programming management. However, there are no tools for planning. Version management tools include Git, TFS, Confluence, and Subversion. In addition, several businesses choose agile cooperation methods such as Scrum, Lean, and Kanban. Amongst all these tools, GIT and Jira are the most widely utilized for complicated tasks and excellent team interaction during development. 

    2. Continuous integration 

    The most important phases of DevOps lifecycle are ongoing integration. Upgraded programming and add-on functionality and additions are created and merged into the current code during this phase. Moreover, throughout this stage, errors in the program are recognized and detected at every stage via the testing phase, and the source code is updated correspondingly. The stage transforms integration into a continual process in which code is evaluated after each commit. In addition, the necessary tests are planned during this period. 

    Jenkin, GitLab CI, and CircleCI are some of the DevOps tools used to improve the program process more efficiently. Jenkin, for instance, is a popular open-source application for automating builds and testing. But on the other side, CircleCI and Buddy are business products. So, whichever continuous integration solutions you choose, make sure they are compatible with your company's and project's needs. 

    3. Ongoing Testing 

    Certain organizations complete the continual monitoring phase before the connection, whereas others do so later. Quality testers use Docker instances to test the software for faults and issues in this step. In the event of a bug or error, the program is returned to the integration phase to be fixed. Automation screening also reduces the time and energy required to produce high-quality findings. During this level, organizations employ tools like Selenium. Furthermore, test automation improves the test assessment report and lowers the expense of delivering and maintaining the testing environment. 

    JUnit, Selenium, TestNG, and TestSigma are some of the DevOps tools that were utilized for continual monitoring. Selenium is perhaps the most widely used open-source automated testing software, with compatibility for various platforms and devices. But on the other side, TestSigma is a comprehensive AI-driven testing automation system that uses artificial intelligence to reduce the technical intricacy of test automation

    4. Continuous deployment 

    The completed program is released to operational servers in this stage, which is of the greatest importance and involved in the life cycle of DevOps. Configuration control is included in continual deployment to ensure that machines release programming accurately and smoothly.  

    The production groups distribute the code to computers and plan server upgrades, ensuring that the settings remain constant across the production phase. Containerization solutions also aid distribution by ensuring uniformity between development, testing, operational, and staging systems. In addition, this method enabled the generation of new functionalities constantly. 

    The setup administration tools Ansible and Chef are utilized to ensure the deployment workflow is seamless and constant across the process of production. 

    5. Feedback Regularly

    To study and enhance the program code, constant feedback is created. User behavior is analyzed on each distribution during this phase to enhance upcoming updates and deployments. Companies can collect advice in either a controlled or uncontrolled manner. Polls and quizzes are used to obtain feedback on the structural approach. Input is collected in an uncontrolled manner via social media sites. Ultimately, this phase is critical in enabling continual delivery so that a better edition of the program can be introduced. 

    Pendo is a business monitoring platform that collects and analyses consumer feedback. An additional tool, Qentelli's TED, follows the complete DevOps workflow and collects valuable intelligence for faults and flaws. 

    6. Continuous Monitoring  

    The application's functioning and attributes are regularly checked throughout this stage to identify network faults such as low RAM, a non-reachable host, etc. The procedure assists the IT staff in promptly identifying app execution problems and the underlying causes. If IT teams discover a serious problem, the app is re-run via the DevOps lifecycle to identify a fix. At this stage, though, safety vulnerabilities can be recognized and corrected immediately. 

    7. Operational continuity 

    The DevOps lifecycle's final step is critical for decreasing scheduled downtime, like scheduled service. To perform the modifications, programmers usually have to take the system down, which raises downtime and may result in a major loss for the organization. In the end, continuous operation simplifies the procedure of starting and updating the application. In addition, this eliminates interruption by utilizing unit management solutions such as Kubernetes and Docker

    Such container management solutions make the process of developing, testing, and deploying an app across various environments much easier. The main goal of this stage is to increase the app's uptime so that services can continue uninterrupted. Designers save effort by doing continuous processes, which can be leveraged to reduce the app's time-to-market. 

    Conclusion

    Today, the DevOps lifecycle is being implemented in more organizations to optimize the entire software development process. The main focus of DevOps is on collaboration between the developers and the operations team to ensure speed and collaboration as well as meeting customer requirements. It takes many steps for a software product to go from initial idea to market to enable collaboration across teams and companies.

    DevOps has entered a new era in software development without question by maintaining the highest quality levels for software solutions. The major goal of the DevOps application lifecycle management is to keep things running smoothly and maximize efficiency. This all comes down to how well the programmers, testers, and operational groups work together to provide a high-quality software product with a better user interface. Enrolling in KnowledgeHut DevOps training courses online can benefit you in multiple ways.

    Frequently Asked Questions (FAQs)

    1What do you mean by DevOps lifecycle?

    The DevOps lifecycle is a set of processes and procedures that help ensure that applications are developed and deployed efficiently. While this process typically starts with the development team, it doesn't end there. Instead, it involves multiple departments and teams throughout an organization, such as IT operations, quality assurance (QA), and customer service. 

    2How many phases are there in the DevOps lifecycle?

    The DevOps lifecycle consists of several phases that are performed iteratively. The phases of the DevOps lifecycle are the series of steps taken to go from idea to production and back again. The process involves collaboration between developers, quality assurance, operations, and other stakeholders involved in software delivery. 

    3What are the basic stages of DevOps?

    The basic steps of the DevOps lifecycle are listed below: 

    • Planning 
    • Development  
    • Testing  
    • Deployment  
    • Monitoring 
    Profile

    Mayank Modi

    Blog Author

    Mayank Modi is a Red Hat Certified Architect with expertise in DevOps and Hybrid Cloud solutions. With a passion for technology and a keen interest in Linux/Unix systems, CISCO, and Network Security, Mayank has established himself as a skilled professional in the industry. As a DevOps and Corporate trainer, he has been instrumental in providing training and guidance to individuals and organizations. With over eight years of experience, Mayank is dedicated to achieving success both personally and professionally, making significant contributions to the field of technology.

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