GitOps - Zesty

GitOps

GitOps is an operational model that manages infrastructure and applications using Git as the source of truth. Changes are made through version-controlled configuration and automatically applied to the system. By continuously reconciling actual and desired state, GitOps enables consistent, auditable, and reliable deployments, particularly in Kubernetes environments.

GitOps is an operational model that uses Git as the single source of truth for managing infrastructure and application configurations. In GitOps, the desired system state is defined declaratively in a Git repository, and automated processes ensure that the live environment continuously matches that state.


Core principles of GitOps

GitOps is built on a few key principles:


How GitOps works

GitOps follows a simple and repeatable workflow:

  1. A developer updates configuration files in a Git repository
  2. The change is reviewed and merged through a pull request
  3. A GitOps controller detects the update in the repository
  4. The controller applies the changes to the cluster
  5. The system continuously monitors and reconciles any differences between Git and the live state

This process ensures that deployments are consistent and automatically enforced.


GitOps in Kubernetes

Kubernetes is a natural fit for GitOps because it uses declarative configuration.

In a GitOps setup:

This allows teams to manage Kubernetes environments in a consistent and repeatable way.


Benefits of GitOps


GitOps vs traditional deployment approaches

Traditional deployment approaches often rely on manual actions or CI pipelines that push changes directly to the cluster.

GitOps shifts this model:


Common GitOps tools

These tools monitor Git repositories and synchronize changes with Kubernetes clusters.


Example

A team wants to deploy a new version of an application:

No direct interaction with the cluster is required.


Final thoughts

GitOps is a model for managing infrastructure and applications using Git as the source of truth. By combining declarative configuration, version control, and automated reconciliation, it enables consistent, auditable, and reliable deployments, especially in Kubernetes environments.