DevOps can aptly be defined as a methodology, philosophy or ideology. Its principle stands at narrowing the gap between the Development (Dev) and the Operations (Ops) teams. In other words, it is a methodology that includes Dev and Ops coordination that leads to a streamlined flow of work to deliver faster and at the same time high-quality software. DevOps Automation facilitates continuous delivery wherein the deployments can be done as and when required on demand.
This can be achieved by ensuring that the code is always in a deployable state even when multiple developers make changes on a continuous basis. Thus, it enables faster and more effective application rollouts with shorter release cycles. The need of the hour for enterprises is shorter release cycles and quality products that are easier with this methodology. Most enterprises and organizations are aligning towards it as it is a preferred philosophy being used with agile software development.
Test Automation- While implementing this, the practitioner needs to ensure that all testing activities are aligned to a single cycle. The organization must explore ways to automate all the test cases and achieve 100% test coverage. It needs to automate both pre-testing and post-testing activities to facilitate continuous integration and delivery. Hence, the enterprise needs to invest in robust software testing frameworks and tools to automate the entire testing process and run the tests repeatedly throughout the DevOps cycle.
It necessitates the need for a cultural shift among the stakeholders to work for a common goal and encourages Dev and Ops to function as a single team focused on delivering value across the IT value chain. Thus enterprises should mark a cultural shift in their style of functioning.
The CI process will reduce the addition testing time as the code is evaluated continuously. However, the testers still need to perform code performance and white box security tests to evaluate the quality of application code more efficiently. That is why; it becomes essential for the practitioners to facilitate CI, and invest in robust continuous integration testing tools while implementing DevOps testing.
Docker: This is a widely-acclaimed container technology that ensures that a piece of software runs reliably in different computing environments. Put simply; a container is a compilation of an application, its dependencies, libraries, and other configuration files needed for its smooth functioning. It ensures that your application runs without any hiccups even when transferred to a computing environment different from its home environment.
DevOps Cycle: Under a mature cycle, the process seen is a build, release and operate phases. However, for a typical IT organization, the scope of its cycle spans four functional areas such as a. Continuous integration and testing, b. Continuous delivery and deployment, c. Continuous operations, and d. Continuous assessments.
Understand the Important Patterns: There are basically four areas with respect to its patterns such as Extend development into production, Create production feedback into development, Embed development into IT operations and lastly Embed IT operations into development. All these patterns are useful as they ensure production readiness of the code and environment. Further, helps to create re-usable user stories for the IT operations and even defines the non-functional requirements that can be used across the process.
This can be achieved by ensuring that the code is always in a deployable state even when multiple developers make changes on a continuous basis. Thus, it enables faster and more effective application rollouts with shorter release cycles. The need of the hour for enterprises is shorter release cycles and quality products that are easier with this methodology. Most enterprises and organizations are aligning towards it as it is a preferred philosophy being used with agile software development.
Test Automation- While implementing this, the practitioner needs to ensure that all testing activities are aligned to a single cycle. The organization must explore ways to automate all the test cases and achieve 100% test coverage. It needs to automate both pre-testing and post-testing activities to facilitate continuous integration and delivery. Hence, the enterprise needs to invest in robust software testing frameworks and tools to automate the entire testing process and run the tests repeatedly throughout the DevOps cycle.
It necessitates the need for a cultural shift among the stakeholders to work for a common goal and encourages Dev and Ops to function as a single team focused on delivering value across the IT value chain. Thus enterprises should mark a cultural shift in their style of functioning.
The CI process will reduce the addition testing time as the code is evaluated continuously. However, the testers still need to perform code performance and white box security tests to evaluate the quality of application code more efficiently. That is why; it becomes essential for the practitioners to facilitate CI, and invest in robust continuous integration testing tools while implementing DevOps testing.
Docker: This is a widely-acclaimed container technology that ensures that a piece of software runs reliably in different computing environments. Put simply; a container is a compilation of an application, its dependencies, libraries, and other configuration files needed for its smooth functioning. It ensures that your application runs without any hiccups even when transferred to a computing environment different from its home environment.
DevOps Cycle: Under a mature cycle, the process seen is a build, release and operate phases. However, for a typical IT organization, the scope of its cycle spans four functional areas such as a. Continuous integration and testing, b. Continuous delivery and deployment, c. Continuous operations, and d. Continuous assessments.
Understand the Important Patterns: There are basically four areas with respect to its patterns such as Extend development into production, Create production feedback into development, Embed development into IT operations and lastly Embed IT operations into development. All these patterns are useful as they ensure production readiness of the code and environment. Further, helps to create re-usable user stories for the IT operations and even defines the non-functional requirements that can be used across the process.
About the Author:
When you are looking for information about Devops automation, come to our web pages today. More details are available at http://www.avracom.com now.