GitOps is a process of automating IT infrastructure using infrastructure as code and software development best practices such as Git, code review, and CI/CD pipelines.

GitOps automates infrastructure management using a Git workflow with effective continuous integration and continuous deployment. After code is merged to the main branch, the CI/CD pipeline initiates the change in the environment.

Git workflows reduce recovery time by enabling rollbacks to a more stable state and offering distributed backup copies in the event of a serious outage. GitOps empowers teams to iterate faster to ship new features without the fear of causing an unstable environment.

Use the Git tooling you already have as an interface for operations. Version your Infrastructure as Code along with configuration policy to make reproducible environments. During incidents, roll back to a last known working state to lower your times to restore services.

Apr 27, 2021 · The term "GitOps" first emerged in the Kubernetes community as a way for organizations to enable Ops teams move at the pace of application development. With improved automation and less risk, GitOps is quickly becoming the …

DevOps can be best explained as people working together to conceive, build and deliver secure software at top speed. DevOps practices enable software development (dev) and operations (ops) teams to accelerate delivery through automation, collaboration, fast …

Apr 7, 2022 · GitOps viewed as part of the Ops evolution; How to use a push-based approach for GitOps with GitLab scripting and variables

The Future of Infrastructure Automation A panel discussion with Weaveworks, HashiCorp, Red Hat, and GitLab.

DevOps practices enable software developers (devs) and operations (ops) teams to accelerate delivery through automation, collaboration, fast feedback, and iterative improvement. Although the term DevSecOps looks like DevOps with the Sec inserted in …

As a single application for the complete DevOps lifecycle, GitLab is: Comprehensive: Visualize and optimize your entire DevOps lifecycle with platform-wide analytics within the same system where you do your work. Seamless: Use a common set of tools across teams and lifecycle stages, without dependencies on third-party plugins or APIs that can disrupt your workflow.