DevOps - Statistics & Facts

DevOps complements Agile software development with many aspects adopted from the Agile methodology. There is no universal definition for the term "DevOps." The word “DevOps” comes from software development (Dev) and IT operations (Ops). This is a cultural adoption to shorten the development cycle, providing continuous delivery of high-quality software. It is mainly characterized by principles of shared ownership, workflow automation, and rapid feedback. Therefore, the team members need to know all parts of the software development cycle and not just some parts of it.

Drivers of DevOps adoption

DevOps is all about a change in culture towards the collaboration of development and operations teams and their functioning in a rapid-paced environment. Increased demand for production releases (frequent software releases) from stakeholders makes DevOps the best fit for many software providers worldwide. Moreover, increased focus on continuous integration and test automation methods have made DevOps the best practice for an optimal workflow. The availability of virtualized and cloud services like private, public, hybrid, and multi-clouds has driven the adoption to a new level.

DevOps offshoots

DevOps practices and procedures are being applied to operations across the entire IT industry, and here we will look at some of those industries.
  1. DevSecOps: Information security must be considered and built into all application development and infrastructure architectures right from the beginning. In other words, rather than being added later, it should be built-in, resulting in crucial security professionals joining the DevOps environment giving rise to DevSecOps.
  2. AIOps: AIOps (Artificial Intelligence operations) and MLOps (Machine Learning operations) are strategies for integrating data mining and other AI techniques into day-to-day operations across DevOps and DevSecOps teams.
  3. CloudOps: It is a method of executing DevOps that makes use of cloud computing rather than on-premises data centers. DevOps' capabilities are supplemented by CloudOps, leading to continuous operations.
  4. GitOps: GitOps is an operational framework that integrates DevOps best practices for application development to infrastructure automation, such as version control, collaboration, compliance, and CI/CD tooling.
  5. ChatOps: Chatbot systems aim to answer all questions, but they forward them to human operators in call centers if they can't. To provide a global chatbot and call center, building an effective chatbot infrastructure is required. ChatOps is a new industry that focuses on providing best practices and solutions for delivering chatbot infrastructure.


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