If your firm is starting with DevOps and wishes to automate the development workflow but is unfamiliar with the DevOps lifecycle phases, you’re in the right place. This section will illustrate the DevOps lifecycle and its stages using examples from the actual world.
What Does “DevOps” Mean?
The name “DevOps” was created by combining “development” and “operations.” DevOps is a methodology that allows a single team to manage the complete application development life cycle, including development, testing, deployment, and operations. This is made possible through the usage of continuous delivery and continuous integration. DevOps aims to reduce the time required to develop a system while delivering new features, bug fixes, and software updates more frequently and in tight alignment with business objectives.
DevOps is a software development technique that enables the production of higher-quality software to occur more swiftly and with more dependability. It comprises various phases, including continuous development, integration, testing, deployment, and monitoring.
The DevOps Lifecycle Offers the Following Benefits
Listed below are some of the most significant benefits of the DevOps lifecycle:
- The DevOps lifecycle is a valuable technique that guides developers and IT operations professionals through the complex process of app development.
- Profitability increases naturally as a result of enhanced operational efficiencies.
- It is frequently utilized by large and small teams and aids them in organizing, synchronizing, and tracking life cycle phases.
- In addition to the release, automatic monitoring, and testing facilitate the early detection and fixing of bugs for developers.
- DevOps engineers can learn more about their products and improve the quality of their code due to the availability of different automated input collection approaches.
Here are the Top Five Reasons Why Firms Have Been So Eager to Implement DevOps
Reduced Product Development Times and Enhanced Innovation Rates
When the teams responsible for an application’s development and operation are located in separate silos, it is generally difficult to evaluate whether or not it is ready for operation. When development teams pass over an application, operational cycle times are unreasonably prolonged.
When a team’s development and operations duties are combined, the time required to get applications ready for usage is drastically reduced. This is significant since the ability to innovate faster than competitors is one of the primary criteria determining a company’s success level.
Reduced Time to Recover From Failures in Deployment, Rollbacks, and Other Complications
Errors in programming contribute to the deployment difficulties faced by teams. Shorter development cycles made feasible by DevOps enable more frequent code releases. Consequently, it becomes much easier to spot coding mistakes. Couples can reduce the number of failed deployments by utilizing agile programming principles, which promote collaboration and modularization. On the other hand, rollbacks are far easier to manage because, if necessary, only specific modules are affected.
Given that it is normal to assume some degree of failure, an appropriate time for recovery is paramount. However, when the development and operations teams have been communicating, exchanging ideas, and considering the challenges encountered by both teams during development, the time required to recover from a problem is drastically decreased.
Enhancements to Collaboration and Communication
Through DevOps, the culture of software development can be enhanced. The happiness and productivity of merged teams are enhanced. The culture shifts its emphasis away from individual objectives and toward collective ones. Because they have mutual trust, the units can explore and invent more effectively. The teams are free to focus on getting the product to market or putting it into production; therefore, their key performance indicators should be defined.
No longer is it essential to “give over” the application to operations and await the outcomes of this activity. The Operations department does not have to wait for another team to investigate and resolve an issue. As more people achieve the same goal, the process gets increasingly streamlined.
Efficiencies that are Significantly Enhanced
The development process can be sped up and made less error-prone by increasing efficiency, which also helps to speed up the development process. There are numerous approaches for automating DevOps operations. Continuous integration servers automate the process of testing code, drastically reducing the amount of manual labor necessary. Because of this, software engineers can focus on tasks that a machine cannot complete.
Tools that Speed Up the Process are Yet Another Approach to Increasing Productivity. For Instance
Scalable infrastructures, such as cloud-based platforms increase a team’s access to the available hardware resources. As a direct result, the testing and deployment processes progress more rapidly.
Build acceleration approaches make code compilation faster than conventional methods.
To avoid delays, it is feasible to add parallel workflows into the continuous delivery chain; in this arrangement, one team waits for another to complete its work before proceeding. Working in a single configuration allows you to avoid the time-consuming and unnecessary task of transferring data between settings. Therefore, it is not necessary to use a separate environment for development, a different environment for testing, and a particular environment for deployment.
Cost Reductions and Decreased Need for IT Professionals
The entirety of the benefits of DevOps can be viewed as a reduction in overall IT staffing expenses and requirements. Red Hat’s Kevin Murphy asserts that DevOps development teams require 35 percent fewer people in the IT workforce and 30 percent lower overall IT costs.
What does “DevOps Lifecycle” Mean Exactly?
The DevOps lifecycle consists of all phases: continuous software development, integration, testing, deployment, and monitoring. Having a competent DevOps lifecycle is essential to gain all of the benefits offered by the DevOps methodology. The DevOps technique prioritizes constant innovation, agility, and scalability in the software development, testing, and consumption processes. It promotes a culture of experimentation, feedback, and continuous learning so that products, services, and procedures can be improved continuously. However, to properly deploy DevOps, one must first have a thorough understanding of the DevOps lifecycle’s many phases. Developers must have a thorough understanding of each phase of the DevOps lifecycle if they want to provide quicker results. The entire development process can become challenging and time-consuming if they are not. Following is a detailed discussion and investigation of each DevOps lifecycle component.
The Phases of the DevOps Lifecycle are as Follows
Continuous software development necessitates both planning and code writing. The development process is divided into numerous more manageable development cycles at this level. This strategy will make it much simpler for the DevOps team to accelerate the entire software development process. This phase is essential for mapping the vision for the development cycle, allowing developers to understand the project’s objectives fully. This allows the team to begin picturing what their ultimate success would look like. Planning does not require using any DevOps technology; nonetheless, various version control systems are used for code maintenance. Source code maintenance is the process of maintaining code in this manner. JIRA, Git, Mercurial, and Subversion (SVN) are among the most popular source code management tools. In addition, numerous tools, like Ant, Gradle, and Maven, can be used to package the codes into executable files. The subsequent phase of the DevOps lifecycle entails transferring these executable files to the next component.
The DevOps lifecycle consists of multiple phases, but “continuous integration” is the most crucial. During this phase, any new or updated code, as well as any extra functionalities and features, are developed and included in the code that has already been created. In addition, errors are discovered and identified in the code at each step of the unit testing process during this phase. The source code is then modified to reflect the modifications made. As a result of this phase, integration is now a continuous process in which the code is tested after each commit. In addition, the relevant tests are planned throughout this process step.
Consider the company Docusign, which was a pioneer in the usage of electronic signatures in 2003. It supports its customers in automating and streamlining the process of formulating, signing, and managing agreements. Their development teams have relied on the Agile methodology for years to gather consumer feedback and use it to influence frequent, incremental releases. However, a lack of communication between the development and operations teams resulted in several failures.
In addition, the totality of their business depended on the exchange of signatures and approvals. Therefore, continuous integration and delivery posed the most significant challenge for their business. A single error could result in a catastrophic failure that renders the procedure ineffective. As a result, the company chose to convert to DevOps. To expedite the product development and delivery process, DocuSign created a tool known as a mock for their proprietary API. With this technology’s support, the company could integrate crucial functions such as incident management. Using this tool for simulation testing is also greatly simplified.
At this stage of the procedure, the code that has been generated is examined repeatedly for problems. Continuous testing employs automation tools such as Selenium, TestNG, and JUnit, among others. Using these tools, quality assurance specialists can simultaneously do comprehensive testing on many code bases to ensure that the functionality is bug-free. Throughout this phase of development, Docker Containers may be used to emulate the test environment. Selenium is used to conduct automated testing, and reports are generated as a result. Jenkins, a system built for continuous integration, may automate the entire testing procedure. Consider that to test your application; you have written Java code for selenium. At this point, you can assemble this code using ant or maven. After the code has been written, it is put to the test using User Acceptance Testing (UAT).
Automation testing results in considerable time, effort, and labor savings during the execution of tests when compared to manual testing. Additionally, the ability to generate reports is a huge advantage. The evaluation of failing test cases inside a test suite becomes less complicated. In addition, we can schedule the execution of the test cases in advance. After software testing, the newly written code is gradually merged into the existing code.
During this phase, the application’s code will be transferred to the production servers following completion and testing. Configuration Management, one of the most critical operations in this phase, is responsible for accurately deploying application code across all servers. It has been determined and vetted that the functionality and performance of the application will be consistent. During the production process, the code is distributed to the servers, upgrades are planned for each server, and these configurations are maintained with as much consistency as feasible. Ansible, Puppet, and Chef are a few examples of exceptional DevOps configuration management solutions. In this function, these technologies are frequently employed to continuously and rapidly deploy new code.
To achieve the objective of continuous deployment, containerization tools are utilized as a part of the Configuration Management procedure. As a containerization solution, Vagrant ensures consistency across various contexts, including development, testing, staging, and production. Similarly, Docker is utilized to handle the scalability of continuous deployment. These tools avoid production-related difficulties and system errors by copying and packaging the software couplings from the testing, staging, and development phases. Ultimately, the application functions generally on a range of PCs.
Adobe, for instance, has adopted the DevOps attitude to release new versions of very modest goods frequently. It can automate and control its deployments by utilizing CloudMunch’s end-to-end DevOps platform. The DevOps platform enables Adobe’s developers to see the effects of changes made to one Adobe product on other Adobe products. As a result, it improved the corporation’s product management and facilitated the timely delivery of software.
The application code was continuously evaluated and enhanced as a result of the implementation of continuous feedback. Throughout this phase, client behavior is monitored periodically and considered after each release to improve following releases and deployments. Companies can take either a structured or unstructured approach to obtain client feedback. The structural method uses questionnaires and surveys to collect responses and ideas. On the other side, feedback is received in an unstructured manner via social media sites. In general, this phase is required to enable continuous delivery so that a more advanced version of the software can be rolled out.
One of the better examples of a company that employs continuous feedback is Tangerine bank. A Canadian bank has adopted the concept of constant feedback to enhance its clients’ mobile experience. This Canadian bank decided to collect ongoing data. As a result, it was able to amass a substantial amount of relevant feedback within a few short weeks, which aided it in quickly identifying the core cause of the issue. In addition, this has helped them improve the application to serve their customers’ needs better. After adopting DevOps, Tangerine Bank could repurpose the resources and the funds exemplary so they could be used for other crucial activities.
It is vitally essential to monitor the operation of a software product to determine the output’s overall efficacy. During this phase, necessary app development information is processed. By regularly analyzing the software’s performance, the developers can identify broad patterns and grey areas requiring extra effort. The objective of the operational phase, known as continuous monitoring, which has as its primary focus the application’s maintenance and upkeep, is to improve the software program’s overall efficacy. In addition, it monitors how efficiently the application is working.
Consequently, this part of the DevOps lifecycle is regarded as one of the most crucial. During the phase of continuous monitoring, several system defects are resolved. These errors contain the phrases “server not reachable” and “limited memory,” among others. Additionally, it guarantees that the services are available and safe. During this phase, any network problems or other difficulties found are promptly resolved by an automated system.
The final phase of the DevOps lifecycle is the quickest to finish and the easiest to comprehend. DevOps is a set of actions that helps automate release processes, allowing developers to identify issues faster and create superior software product versions. The notion of continuity is fundamental to these procedures. Continuing the process eliminates diversions and other needless extra steps more easily. Because the development cycles in continuous operations are shorter, organizations can now advertise continually and reduce the time it takes to bring a product to market. DevOps may raise the value of software products since it makes them better and more efficient, attracting additional consumers.
Thanks to DevOps, it is possible for end users to directly contribute to the process of mobile application development by sharing relevant feedback from the operational phase. DevOps is an excellent method for conducting application development that significantly improves application performance for businesses and enables end users to contribute to the process directly. It is a technique that will continue to be regarded as the best alternative for creating dynamic applications that frequently expand to address complex business concerns. We will continue to view this strategy as the best alternative. As the practice of DevOps becomes more popular, there are increasing employment options for DevOps students. Prepare yourself for the practical aspects of the technology and learn how to implement them in the workplace to become a competent DevOps resource. This will enable you to capitalize on possibilities as they arise.