Admin Oct,12 2017
DevOps mainly comprising Development, Operations, Security, Testing and Deployment. An emerging set of practices for communication, collaboration and integration between IT operations and software development. DevOps practice establish the work environment and culture where software building, testing, release handled with improved methodology for right product achievement and operations together.
Business and industries are now sharply transforming globally with the use of internet and software, where technology no longer just supports enterprises but it become more integral part of the business operations that include small to large multiple components. So, DevOps model with certain sets of practices and methodologies that define blueprint to implement small to very large-scale IT infrastructure and operations together.
DevOps Adoption :
Change in culture and mindsets are prerequisites for transition to DevOps model. It is all about eliminating traditional constrains between two separate practice for development and operations. DevOps model sometime two team works together to optimize both developer’s productivity and operational reliability, many organizations may not have separate team for development and operations.
Just one integrated team with development and operation resources to work across the entire software development life cycle from development to deployment of infrastructure that also tightly integrates QA and Security objective throughout the development lifecycle. Practice that automates the process while using technology stack and tools which help them operate and evolve applications more rapidly and reliably.
DevOps practice help to automate and streamline the software development and infrastructure management processes, practices to use with specific tools. The basic of it is to frequent and small updates those are like incremental in nature than occasional updates performed under traditional release practices. More frequent small updates make each deployment less risky. Team can identify the last deployment to address the bugs faster and caused error. Using the DevOps model most organizations deploy updates much more frequently than organizations using traditional software development practices.
Organizations adopt such practice with micro level service architecture to make the application more flexible that enables faster innovations. Micro level service architecture decouples large, complex systems into simple, independent projects. Application are partially broken into separate components with each service scoped to a single purpose or function to operate it as independently of its peer services and the application as entire. Micro level service architecture reduces updating applications as each service level is combined with small agile teams who take full ownership for each micro level services simultaneously.
DevOps practices like ongoing integration and continuous delivery solve the issues like operational challenges during more frequent releases and deployments. Infrastructure as code and configuration management is a kind of Infrastructure automation practice that help to keep computing resources elastic and responsive to frequent changes. Further the use of monitoring and logging helps developers to track the applications performance and infrastructure to quickly deal with any issue.
Together, DevOps practices emphasizing on close collaboration and communication between IT professionals like developers, operators, and support staff in the lifecycle of applications and services for continuous Deployment, Integration, Feedback.