Understanding GitOps: Principles, Workflow, and Benefits

GitOps provides an automated way to manage infrastructure by leveraging familiar DevOps practices like version control, code reviews, and CI/CD pipelines.

How GitOps Works

The concept originated from the Kubernetes management company Weaveworks and is discussed primarily in the context of Kubernetes. It addresses the complexity of container‑based applications by applying mature DevOps techniques.

GitOps embodies the upgraded model of Infrastructure as Code (IaC) and revolves around three main components:

Infrastructure as Code

Pull Requests

CI/CD

Infrastructure as Code

IaC configures and manages infrastructure using declarative files stored as code. By combining IaC with version control, teams can streamline all operational procedures.

GitOps relies on a declarative model where configurations describe the desired state rather than a sequence of commands. For example, in Kubernetes you declare the number of Pods a service needs, and the system reconciles the actual state automatically.

Any cloud‑native software that follows a declarative model can be treated as code; for instance, AWS CloudFormation lets us write infrastructure as code and treat the infrastructure itself as code.

Pull Requests

The core idea behind GitOps is that the version control system is the single source of truth. Git stores both application code and infrastructure code, enabling collaborative changes via pull requests.

Just as developers create feature branches and submit pull requests to merge changes into the main branch, the same workflow applies to infrastructure code, ensuring reviews before changes reach production.

Pull requests enforce code review, preventing undesirable changes from being deployed and aiding troubleshooting.

Git Organization

GitOps typically uses two repositories: an application repository containing source code and deployment manifests, and an environment configuration repository describing the desired state for each environment (dev, test, prod).

Infrastructure can use a main branch to represent an environment, with feature branches for changes that are merged via pull requests, providing transparency and traceability.

GitOps works with any Git‑based platform such as GitHub, Bitbucket, or GitLab and does not depend on specific tools.

CI/CD

A CI/CD pipeline is required for a complete GitOps implementation. Each change in the Git repository triggers the pipeline to deliver infrastructure updates to the target environment.

GitOps deployment strategies include push pipelines and pull pipelines. Push pipelines are common in many CI/CD tools, where a change triggers a build that pushes updates to the environment. Pull pipelines, considered safer, use an operator that continuously reconciles the desired state from the environment repository with the actual state in the cluster.

Push Pipeline

In a push pipeline, the source code and manifests reside in a single repository. When updates occur, the pipeline builds container images and pushes changes to the environment, offering flexibility but granting the CI/CD tool write access to the environment.

Diagram: Push‑based GitOps deployment

Pull Pipeline

The pull‑based approach uses an operator that continuously compares the target state in the environment repository with the actual state in the cluster, applying changes when drift is detected. It can also monitor image registries for new versions.

Diagram: Pull‑based GitOps deployment

Updates occur only when the environment repository changes; any out‑of‑band modifications are automatically reverted.

Benefits of GitOps

Leverages DevOps Best Practices

GitOps builds on established DevOps workflows—Git, IaC, CI/CD, immutable servers, observability—providing a higher‑level model for managing cloud‑native applications on Kubernetes.

Simplified Continuous Deployment

Continuous deployment becomes faster and more frequent, with automation handling most of the tooling, reducing deployment overhead and improving mean time to deployment (MTTD).

Reduced Mean Time to Recovery (MTTR)

Because every change is version‑controlled and automated, incidents can be traced and rolled back quickly, significantly lowering MTTR.

Easier Kubernetes Management

Developers can use familiar Git tools to manage Kubernetes upgrades and features without deep Kubernetes expertise, accelerating onboarding.

Enterprise‑wide Standardization

GitOps creates a transparent, end‑to‑end workflow that can be replicated across the organization, ensuring consistent operational practices.

Preparing for GitOps

Establish robust code review and testing processes : Enforce pull‑request‑based changes and automated pipelines to maintain high code quality.

Test, test, test : Comprehensive testing ensures reliable releases and smooth rollbacks.

Focus on monitoring : Continuous monitoring detects drift and supports rapid remediation.

Embrace DevOps culture : Collaboration between development and operations teams is essential for successful GitOps adoption.

Why Choose GitOps?

GitOps offers a powerful workflow for managing cloud infrastructure, delivering benefits such as improved coordination, transparency, stability, and system durability for engineering teams.