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This article mainly introduces "analyzing DevOps life cycle". In daily operation, I believe many people have doubts in analyzing DevOps life cycle problems. The editor consulted all kinds of data and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the doubts about "analyzing DevOps life cycle". Next, please follow the editor to study!

What is DevOps?

Before DevOps, practitioners used waterfall model or agile development model for software project development: waterfall model or sequential model is a groundbreaking approach in the software development life cycle (SDLC), in which software development becomes a linear process, and different phases and tasks are located in turn; agile development involves the use of various methods and the collaboration of multiple teams in SDLC. The linearity of the waterfall model and the cross-functionality of agile development do not ensure fast and continuous delivery of defect-free software applications.

The software industry has become increasingly aware that in order to deliver software products and services on time, development and operation and maintenance work must work closely together. Under such circumstances, DevOps came into being.

DevOps is a simple acronym derived from the words "development" and "Operation". It involves practicing the task of application development in a specific way. More broadly, the combination of software development and IT operation and maintenance is called DevOps.

Advantages of DevOps

The effectiveness of DevOps in promoting the agile relationship between IT operations and software development is supported by several factors. By achieving better communication between software development and multiple business units of IT operations, DevOps improves overall software production through a combination of stable operating environment, ultra-fast delivery, solid cooperation, time optimization (especially in the repair / maintenance phase), and continuous innovation. Such technical advantages make DevOps a highly sought after method in software application development in the world.

To understand how DevOps achieves these benefits, it is important to understand the full lifecycle of DevOps. Let's break down the key stages of DevOps and figure out the process of achieving perfect, continuous, and rapid software development.

Decrypt the DevOps lifecycle

DevOps is mainly used for application development of e-commerce websites, cloud local applications and other large distributed platforms. It consists of several stages, which are collectively called DevOps life cycle: continuous development, continuous integration, continuous testing, continuous feedback, continuous monitoring, continuous deployment, and continuous operation and maintenance.

These seven phases are a major part of ensuring that DevOps optimizes the entire development process from presentation to production to full delivery. The following is a phased, complete decomposition and analysis of the DevOps life cycle.

Sustainable development

The first phase of the DevOps life cycle is planning and software coding. The planning includes understanding the vision of the project and envisioning the software based on these visions. Planning does not involve any major tools, while maintaining the code requires a series of tools. The first step in developing application source code is to choose from different programming languages. JavaScript,C / C + +, Ruby and Python are mainly used to encode applications in DevOps.

The process of maintaining code is called source code management (SCM), which uses version control tools such as Git, TFS, GitLab, Subversion, and so on.

In the SCM process, Git is the preferred tool to support distributed versioning. It contributes to data assurance through cyclic nonlinear workflows. For large projects involving a large number of partners involved in development activities, Git establishes reliable communication between teams by submitting messages.

With version control tools, you can build stable versions of application code during the continuous development phase. Developers can also use Garden,Maven and similar tools to package code into .exe (executable) files.

Continuous integration

The source code is modified many times, and these frequent changes occur every week or even every day. The next phase of code integration is at the heart of the entire DevOps life cycle. In continuous integration, new code that supports additional functionality is built and integrated into existing code.

At this stage, errors in the source code are detected at an early stage. To generate new code that brings more functionality to the application, developers run tools for unit testing, code review, integration testing, compilation, and packaging. Continuous integration of new code into existing source code helps reflect the changes that end users experience when using the updated code.

Jenkins is a widely used and reliable DevOps tool for getting updated source code and building builds into .exe format. These transformations are seamless, and the updated code is packaged and moved on to the next stage, either the production server or the test server.

Continuous testing

Some developers perform the continuous testing phase before the continuous integration phase. Based on updates in the application code, this phase can be repositioned around the continuous integration phase in the DevOps lifecycle.

At this stage, the developed software is constantly tested by Bug. Use the Docker container to simulate the test environment. By automating testing, developers can save the energy and time they usually waste in manual testing. Automated test-generated reports can improve the test evaluation process and make it easier to analyze failed test cases. After the UAT (user accepted testing) process, the generated test suite is simpler and has no Bug.

TestNG,Selenium and JUnit are some DevOps tools for automated testing. These tools can also schedule the execution of test cases on a preset timeline. Quality assurance engineers (QA) can use these tools to test several other code bases in parallel. It ensures that the application function is perfect and the network is interconnected. Finally, the code under test is re-sent to the continuous integration phase to update the source code.

Continuous feedback

Continuous testing and continuous integration are two key stages to ensure continuous improvement of application code, and continuous feedback is the stage for analyzing these improvements.

Developers can evaluate the results of these changes on the final product. Most importantly, customers testing these applications can share their experiences at this stage. In most cases, this phase of the DevOps life cycle provides a turning point in the application development process. Evaluate the feedback in a timely manner, and developers begin to make new changes. In this way, customer feedback will quickly get a positive response, paving the way for the release of a new version of the software application.

Continuous monitoring

Monitoring the performance of an application is critical for application developers. At this stage, developers record data about application usage and continuously monitor each feature. "Server cannot access" or "out of memory" are some common system errors that can be resolved at this stage.

Continuous monitoring helps maintain the availability of services in the application. It can also identify the threats and root causes of recurrent system errors. At this stage, security problems can be solved and defects can be detected and repaired automatically.

Compared with the software development team, IT operation and maintenance team is more involved at this stage. Their roles are critical in monitoring user activity, checking the system for abnormal behavior, and tracking the presence of errors.

Sensu,ELK Stack,NewRelic,Splunk and Nagios are key DevOps tools for continuous monitoring. These tools provide complete control over the performance of systems, production servers, and applications. With the help of these tools, the operation and maintenance team can actively participate to improve the reliability and productivity of the application.

When a major problem is detected at this stage, the application will be quickly re-run at all early stages of the DevOps lifecycle, which is why it is faster to find solutions to various problems at this stage.

Continuous deployment

Typically, the continuous deployment phase occurs before continuous monitoring. However, developers need to ensure that this phase is always active throughout the DevOps lifecycle, especially after the application comes online and starts to receive large amounts of traffic.

At this stage, the final application code will be deployed to the production server. Configuration management is a key process at this stage, which performs the precise deployment of application code on all servers and establishes and manages the consistency of application performance and functional conditions. Publish the code to the server, schedule updates for all servers, and these configurations are consistent throughout the production process.

Ansible, Puppet, and Chef are effective DevOps tools for configuration management that often perform rapid and continuous deployment of new code.

Containerization tools are used to achieve continuous deployment through the configuration management process. Vagrant is a containment tool that develops consistency in different environments from development and testing to phases and production. Similarly, the scalability of continuous deployment is handled by tools such as Docker. These tools eliminate a variety of production failures and system errors by copying and packaging software coupling from the testing, staging, and development phases. Eventually, the application can run smoothly on different computers.

Continuous operation and maintenance

The last phase of the DevOps life cycle is the shortest and simplest. The purpose of continuous operation and maintenance is to automate the process of released applications and subsequent updates. The development cycle in continuous operation and maintenance is shorter, so that developers can continuously speed up the time to market of the application.

DevOps lifecycle deliverables

Each phase of the DevOps lifecycle is controlled by two common factors: maximum automation and continuity. Multi-function tools replace additional steps and greatly shorten the time required to detect faults. DevOps runs in a lifecycle that provides the best version of a software application.

The ● final product enables enterprises to restore the speed of rapid development while improving the user experience.

● 's high return on investment (ROI) simplifies cost control so that development and operations teams can work together.

●, combined with a continuous deployment solution, makes it possible to send programming code to more than 1000 production servers. In the DevOps lifecycle, there are some high-level patterns designed for deployment. Similar features are used to deliver on-demand deployment and auditing.

● with the continuous innovation of technology, DevOps continues to develop with the highest quality and speed. Today, it has become a strategic part of the digital transformation of millions of companies around the world.

The ● DevOPS lifecycle clearly breaks down the barriers to teamwork. When you can use DevOps to build a responsible business environment, no redundant work is required.

Reports generated by the ● DevOps tool provide business insight and enhance visibility in SDLC. Through end-to-end value management, DevOps systematically improves delivery speed.

With DevOps in ●, the tasks of project management and planning will be finally completed. DevOps can be applied not only to large enterprises, but also to small and medium-sized enterprises. It becomes easier to organize, schedule, adjust, and track projects. All phases of the DevOps lifecycle remain fully traceable.

● most software developers can benefit from the branch tools provided by DevOps. It can efficiently design application UI and manage UX code, and securely develop and store project data.

● because each change in the code affects the production phase, the tools for automatic monitoring and release management help detect errors and simulate user responses, respectively.

Because ● uses a single distributed version control tool, and by providing high-value business products with fast iterative freedom, the workflow will not be interrupted.

● uses DevOps package management tools to create a reliable supply chain for software applications. The application and its dependencies are bundled into the container, and the container will be further managed. Developers can easily build code packages through secure container registries and repositories. DevOps accelerates a free, uninterrupted process through automated software development pipelines.

● automated testing enables the team to fully accept the different stages of the DevOps life cycle because it helps to maintain high standards of product quality. It's easy to code, validate, change, build new code, and even integrate it into source code.

In addition to automated testing, ● has processes such as code quality analysis, dynamic analysis security testing, and static analysis security testing to collect important feedback and pass it on to developers and testers. This enhances the ability of development and operations teams to improve code quality.

Access to ● critical infrastructure configuration information (passwords and login ID) is protected by tools that disguise them as secret variables. For additional security, DevOps provides limited access-only authorized users and processes can gain access.

With its independent development environment and faster development methods, DevOps has become an important contributor to the technology market. It is the most important toolset for solving technical business challenges by creating dynamic applications. As this approach benefits both developers and users, the adoption of DevOps continues to increase. Domestic big companies such as Ali, Tencent, Huawei, etc., all have their own cloud DevOps solutions.

At this point, the study on "analyzing the life cycle of DevOps" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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