GitOps & ArgoCD
Ask a team how production got into its current state and watch the eyes drop: some of it deployed through the pipeline, some was kubectl'd in during an incident, and some is a mystery with a three-year-old timestamp. GitOps ends the mystery — the cluster runs what git says, drift is detected and reverted, and every change has an author, a review, and a diff.
We implement GitOps with ArgoCD as the enforcement engine: repository structures that scale to many teams and clusters, promotion flows from dev to prod that are pull requests instead of tribal knowledge, sync policies with self-healing so console tinkering gets quietly corrected, and the audit trail that turns compliance reviews from interrogations into demonstrations. Deployment stops being an event and becomes a property of the system.
ArgoCD platform setup
Multi-cluster, multi-team ArgoCD with RBAC, SSO, and app-of-apps architecture.
Repository and promotion design
Environment promotion as pull requests — reviewable, revertible, boring.
Drift elimination
Self-healing sync that makes git the truth and console changes temporary.
Secrets integration
External Secrets and vault-backed workflows — GitOps without credentials in git.
Audit-ready delivery
Every production change attributable to a commit and a review — compliance evidence as a by-product.
What does GitOps actually buy us over our current CD pipeline?
A guarantee instead of a hope. Push-based pipelines apply changes and walk away; GitOps continuously reconciles, so drift gets reverted, disaster recovery is "point ArgoCD at the repo," and audit is built in. It's the difference between deploying to a state and enforcing one.
How do emergency fixes work if everything must go through git?
Break-glass is part of the design: an expedited PR path for incidents, or temporary sync-policy relaxation with automatic reconciliation after. What you lose is silent hotfixes that live forever; what you keep is speed with a paper trail.
Can GitOps manage our AI and agent deployments too?
Especially those. Model versions, prompt configurations, and agent deployments change frequently and need exactly this rigor: versioned, reviewed, instantly revertible. A bad prompt rollout reverts as fast as a bad image — one git revert.
Put GitOps & ArgoCD to work — in production.
One forward-deployed engineer, embedded in your stack, owning the outcome from discovery to production. Weeks, not quarters.
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