GitOps is an operational approach that uses Git repositories as a central source of truth for declarative infrastructure and application configuration. Changes are reviewed, versioned, and then synchronized automatically or through controlled automation with the live environment.
GitOps is closely associated with cloud-native and Kubernetes environments, but its core ideas can also be applied more broadly to infrastructure and deployment workflows. The approach combines version control, declarative configuration, automation, and continuous reconciliation.
What Is GitOps?
GitOps treats infrastructure and application configuration as code stored in Git. Instead of making routine changes directly in a production environment, engineers commit the desired configuration to a repository. An automation system then works to make the running environment match that configuration.
This creates a clear relationship between the configuration in Git and the state that the platform is expected to maintain.
How GitOps Works
- A team defines the desired application or infrastructure state in declarative configuration.
- The configuration is committed to a Git repository.
- Code review and automated checks validate the proposed change.
- An authorized merge changes the desired state.
- A GitOps agent or deployment system detects the change.
- The agent synchronizes the live environment with the repository.
- The environment is continuously monitored for differences.
This reconciliation model is important. GitOps is not simply putting deployment files in Git; it also uses automation to keep the live environment aligned with the declared state.
GitOps vs. Traditional Deployment
| Gebied | GitOps | Traditional deployment approach |
|---|---|---|
| Source of truth | Git repository containing desired state | May rely on scripts, pipelines, consoles, or multiple sources |
| Change process | Commit, review, merge, and reconcile | Can involve direct commands or deployment scripts |
| Audit trail | Git history records configuration changes | Auditability depends on the deployment system |
| Drift handling | Reconciliation can detect and correct differences | Often requires separate detection and remediation |
| Rollback | Can revert configuration to an earlier Git revision | Depends on deployment tooling and stored artifacts |
Core Principles of GitOps
Declarative Configuration
Systems are described by their desired state rather than a sequence of manual commands. This makes configuration easier to review and reproduce.
Version Control
Infrastructure and application configuration are stored in Git, providing history, branching, reviews, and the ability to identify who changed a configuration and when.
Automated Reconciliation
A GitOps controller or deployment mechanism continuously compares the declared state with the running environment and works to reconcile differences.
Controlled Changes
Changes normally flow through Git-based review and automation rather than routine direct modification of production resources.
GitOps and Kubernetes
GitOps is particularly common with Kubernetes because Kubernetes already uses declarative resources and controllers. A GitOps controller can apply manifests or other configuration to a cluster and continuously monitor whether the desired state remains in place.
Popular GitOps tools include Argo CD en Flux. They can synchronize Kubernetes resources from Git repositories and provide visibility into application state.
GitOps and CI/CD
GitOps complements continuous integration and continuous delivery rather than replacing them. CI systems can build software, run tests, scan dependencies, and produce container images. A GitOps workflow can then update deployment configuration to reference the approved image version.
This creates a useful separation between building software and reconciling the desired production state.
Benefits of GitOps
- Traceability: Configuration changes can be connected to Git commits and reviews.
- Repeatability: Environments can be reconstructed from versioned configuration.
- Automation: Reconciliation reduces routine manual deployment work.
- Rollback: Reverting configuration can restore a previous declared state when the underlying application and data design support it.
- Consistency: Standardized configuration can reduce environment differences.
- Security: Direct production access can be reduced when changes flow through controlled automation.
- Collaboration: Developers and operations teams can use familiar Git workflows for infrastructure changes.
GitOps Security
GitOps can improve change control, but the Git repository becomes an important security boundary. Access to repositories, deployment credentials, automation agents, and production systems must be carefully controlled.
- Use least-privilege permissions for repositories and deployment agents.
- Protect Git accounts with strong authentication.
- Never store plaintext production secrets in repositories.
- Use appropriate secret-management mechanisms.
- Require review for sensitive configuration changes.
- Scan manifests and dependencies for security issues.
- Monitor deployment activity and unauthorized changes.
Handling Secrets in GitOps
Secrets require special treatment because Git repositories provide persistent history. Simply deleting a credential from the latest version does not necessarily remove it from historical commits.
Teams can use secret-management systems and GitOps-compatible encryption or secret operators. The exact approach should match the platform, threat model, and organizational requirements.
GitOps and Configuration Drift
Configuration drift occurs when the live environment differs from the declared state in Git. A GitOps controller can identify such differences and, depending on its configuration, restore the desired state.
However, automatic reconciliation should be designed carefully. Some resources may be intentionally changed outside GitOps, and blindly overwriting operational changes can create incidents. Teams should define which resources are controlled by GitOps and establish appropriate emergency procedures.
GitOps Workflow Example
Imagine a team running a web application on Kubernetes. A developer releases version 2.4 of the application. The CI pipeline builds and tests the container image, then publishes it to a registry.
The deployment repository is updated so the production configuration references version 2.4. After review and approval, the GitOps controller detects the new configuration and updates the cluster. The controller then monitors the deployment and reports whether the declared state has been reached.
GitOps Challenges
GitOps does not remove operational complexity. Teams still need to understand Kubernetes or their underlying infrastructure, application dependencies, networking, storage, security, and incident response.
Large repositories can also become difficult to manage if configurations are poorly structured. Organizations need sensible repository boundaries, ownership rules, environment strategies, and promotion workflows.
Emergency changes require special attention. Teams should have documented break-glass procedures that preserve security and provide a path to reconcile emergency changes back into Git.
How to Implement GitOps
- Choose a suitable Git repository structure.
- Convert application or infrastructure configuration into declarative files.
- Place configuration under version control.
- Add validation, testing, and security scanning.
- Choose a reconciliation or deployment tool.
- Configure least-privilege access.
- Define development, staging, and production promotion processes.
- Monitor synchronization status and deployment health.
- Document rollback and emergency procedures.
Expert Tips
- Keep the desired state clear and reviewable.
- Separate application source code from deployment configuration when that improves ownership and workflow clarity.
- Use automated validation before changes can reach production.
- Protect the Git repository as a production control point.
- Use immutable or versioned application artifacts where practical.
- Test reconciliation failures and rollback procedures.
- Define ownership for repositories, clusters, environments, and deployment agents.
Common GitOps Mistakes
- Thinking Git alone makes a workflow GitOps.
- Storing plaintext secrets in repositories.
- Giving deployment agents excessive permissions.
- Allowing unmanaged production changes without reconciliation procedures.
- Creating complex repository structures that are difficult to maintain.
- Failing to monitor synchronization and deployment health.
- Ignoring emergency access and disaster-recovery procedures.
Veelgestelde vragen
What is GitOps in simple terms?
GitOps is a way of managing infrastructure and application deployments by keeping the desired configuration in Git and using automation to synchronize the live environment with it.
Is GitOps the same as DevOps?
No. DevOps is a broader set of practices for collaboration and software delivery, while GitOps is a specific operational approach centered on Git, declarative configuration, and automated reconciliation.
Is GitOps only for Kubernetes?
No. Kubernetes is a common GitOps environment, but the underlying principles can be applied to other infrastructure and deployment systems that support declarative management and automation.
What tools are used for GitOps?
Argo CD and Flux are widely used GitOps tools for Kubernetes. Other tools can support similar Git-centered deployment and reconciliation workflows.
Does GitOps improve security?
It can strengthen change control and reduce direct production access, but security still depends on repository protection, identity controls, secrets management, deployment permissions, and monitoring.
How does GitOps handle configuration drift?
A GitOps controller can detect differences between the desired configuration and the live environment and may reconcile the environment back to the declared state.
Can GitOps replace CI/CD?
GitOps can complement CI/CD. CI can build and test software, while GitOps can manage the desired deployment state and its synchronization with production.
What should beginners learn before GitOps?
Basic Git, containers, Kubernetes or another deployment platform, declarative configuration, networking, security, and CI/CD concepts provide a useful foundation.
Conclusie
GitOps brings software-engineering practices such as version control, peer review, automation, and repeatability into infrastructure and application operations. By treating Git as the source of desired state and using automated reconciliation, teams can make deployments more traceable and consistent.
Successful GitOps adoption still requires careful security, repository design, observability, access control, and incident procedures. The approach works best when teams clearly define what is managed through Git and automate the path from approved configuration to the running environment.
Continue the technology series: next is Platform Engineering, which explores how internal platforms can make software delivery more consistent for development teams.
