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DevOps Strategies, methods, and principles

by Arslan Shah

DevOps is often associated with Agile software development due to the fact that Agile practitioners advocated DevOps as a means to expand the method into production. This approach has been described as a counterculture of the IT services management practices that are embraced in ITIL. DevOps is not a part of an official framework.

To refine their strategies, companies must be aware of the contexts that surround DevOps, Agile and Waterfall development as well as Site reliability engineering (SRE) as well as SysOps as well as the differences within DevOps.

DevOps vs. Waterfall development: Waterfall development involves a sequence of gates and steps in the linear sequence of production. The phases include requirements, research, analysis, and implementation, testing deployment and operation, and maintenance. Within Waterfall Teams, development tests new code in an isolated setting for the purpose of quality control (QA) and, when requirements are met, release the code to operations to be used in production. IT operations releases multiple releases simultaneously and has extensive control. Support is the responsibility of operations. Waterfall strategies cause lengthy waits for software updates. Since development as well as operations operate independently, developers aren’t constantly aware of roadblocks in operation that hinder code from performing in the way they had hoped. If you’re just beginning on your DevOps journey, becoming certified with LFCS is the beginning of your DevOps Certification plan. The Linux Foundation Certified System Administrator (LFCS) exam is a great choice for those looking to prove their Linux knowledge of system administration. The LFCS certification is valid for a period of three years.

The DevOps model integrates development, QA , and IT operations with fewer barriers and a more seamless workflow. For instance certain tasks of the operations team shift off the pipeline for app delivery and are transferred to members of the development team. IT operations provide feedback to improve code. Instead of gated steps, DevOps relies on continuous development as well as continuous integration. continuous delivery, and continuous monitoring procedures.

DevOps vs. Agile development:

Agile is a type of software development technique that is described by the Agile Manifesto. Teams that are Agile focus on the rapid and gradual cycles of code development and delivery, also known by the term “sprints”. Each sprint is a repetition of the previous one, making the software extremely flexible and adaptable to changes in demands. It is possible for the initial idea of a project to fade away during the process.

DevOps was born out of Agile’s success in improving development speed, as well as the realization that the lack of communication in the development as well as operations departments and also the gap between IT as well as the commercial aspect of the business greatly hindered Agile software’s ability to deliver its benefits to users.

If you are using only Agile workflow development and operation teams are separated by their goals and the leadership. If an organization is using DevOps as well as Agile together it is the case that the development as well as operations groups are responsible for managing their code through the entire software development cycle. Although Agile is usually structured with a framework like Scrum, DevOps does not have any framework.

DevOps as opposed to. SRE:

 Site reliability engineering was developed in tandem with Agile along with DevOps. In the early 2000s, it was introduced at Google the company, it is an automation and programming-oriented method of managing your development of software development lifecycle. The problem should be resolved by preventing the same issues from happening repeatedly. It is important to reduce the number of repetitive tasks.

The SRE toolbox closely matches the one for DevOps. Both fields strive for continual advancement. SRE, and DevOps Engineer Roles are seeking to eliminate the silos in development and operation. While DevOps can also be extended to business users, SRE typically stays within the boundaries within the confines of IT processes.

 For developers, a DevSecOps role incorporates security into various stages of the DevOps pipeline, from code analysis to automated testing to threat modeling.

DevOps and. SysOps:

 SysOps generally refers to the way in which an IT manager or IT team oversees the deployment of production and maintenance for a distributed application, like the SaaS product. Similar to DevOps users, SysOps teams should be proficient with cloud computing, automation along with other technologies that allow applications to function well on the scale of. SysOps teams help to resolve IT issues and outages and monitor performance issues and implement security rules and improve processes.

They also concentrate on high availability and fault tolerance security and performance as other IT administrators. Although SysOps professionals may utilize a few development tools and comprehend development procedures, their work is not as closely linked to development like the DevOps job. But, SysOps roles can exist within DevOps and SRE organizations.

DevSecOps vs. BizDevOps vs. GitOps:

Certain organizations expand the coverage of DevOps to include additional functions or departments. For DevSecOps, security planning, tests, scans and reviews continue all through each step of the DevOps loop. BizDevOps is focused on connecting business executives along with application owners, as well as other business-related stakeholders with the technical team who develops, tests and provides support for the software. Although more collaboration may be better than none collaboration, the collaborators need to be able to share timely, effective and precise information.

Another variant of DevOps or a distinct aspect of the same group, could be GitOps. The name is derived from its focus on the repository’s eponymous name and technology for controlling version, GitOps espouses declarative source control over infrastructure and application code. All information about the software, from requirements for features to setting up the environment is derived from one base of fact.

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