Strategies for an Effective DevOps Implementation

DevOps processes aid accelerated software development and collaboration between development and operations teams. A DevOps pipeline offers tools that help to reformulate traditional application development. In a bid to outdo their competition, organizations cannot wait long for new features and applications. Many organizations have started to create or refine a DevOps pipeline to accelerate their business processes. Here are a few suggestions for a company planning to launch a DevOps pipeline:

Knowledge of DevOps concepts and practices: Before starting a DevOps pipeline the development teams need to get acquainted with certain skills and standard practices. Employees should be aware of their roles as roles of an employee change after the DevOps shift. For example, thoroughly tested software by the development team will make the job of operations team easier.  

CI basics with Jenkins: An end-to-end approach of Jenkins servers makes it a suitable platform for DevOps. Jenkins is the most widely used Continuous Integration (CI) servers as it can pull code changes from a repository and then kick off a build of the software. It also allows DevOps teams to incorporate automated test prior to production.

Fit tests into continuous deployment: Continuous testing and integration enable developers to release software at a much faster speed. With the traditional waterfall model, the developers could only implement changes to software with periodic releases. This approach led to a delay in software delivery. DevOps processes allow the developers to implement continuous deployment, which automatically releases code into the production environment without human input.

Kubernetes for deployment and DevOps: Containers have become a viable option for organizations using cloud services for DevOps pipelines. Kubernetes can be the best option for organizations to orchestrate application component and resources on containers. It is an essential tool which aids a company in reducing deployment complexity and using abstraction to make better use of resources.