GitOps Made Deployment Boring in the Best Way

GitOps promised to make deployment boring. Define your infrastructure in Git, and ArgoCD or Flux handles the rest. The reality is powerful but nuanced.

The Core Idea

Git becomes the single source of truth. Every change goes through pull request. The cluster state always matches what’s committed. Drift is detected and corrected automatically.

This sounds simple because the concept is simple. Implementation involves operators running in your cluster that continuously reconcile actual state with declared state.

ArgoCD vs Flux

ArgoCD offers a polished web interface for visualizing application state and managing deployments. Flux is more lightweight and opinionated toward terminal-based workflows.

Both work. ArgoCD’s UI makes onboarding easier for teams less comfortable with kubectl. Flux’s simpler architecture means fewer components to manage.

Getting Started

Pick one and commit. The choice matters less than having a consistent pattern. Start with a single, non-critical application. Learn the workflow before migrating production workloads.

Define your Git repository structure early. Separate application manifests from cluster configuration. Use Kustomize or Helm for environment variations.

What Changes

Deployments become pull requests. Want to roll out a new version? Update the image tag in Git and merge. The operator notices the change and reconciles.

Rollbacks become Git reverts. Something wrong with the new deployment? Revert the commit. The previous state restores automatically.

Audit becomes Git history. Every change is versioned, attributed, and reviewable. This matters for compliance requirements.

What Doesn’t Change

You still need to understand Kubernetes. GitOps doesn’t abstract away the complexity – it just manages it more consistently.

Secrets remain awkward. Storing secrets in Git, even encrypted, feels wrong to many security teams. Sealed Secrets, External Secrets Operator, and Vault integration address this but add complexity.

Is It Worth It?

For organizations already using Kubernetes with multiple environments and regular deployments, yes. The consistency and auditability benefits compound over time.

For simpler setups, it might be premature optimization. A shell script that runs kubectl apply can work fine when you’re deploying weekly to one cluster.

Match the tooling complexity to your operational complexity.