The honest version of “build vs buy”
If you have a strong platform team and genuinely custom requirements, building your own platform on ArgoCD or Flux is a legitimate choice. Plenty of great teams run that stack. The comparison below is not “DIY is wrong” - it’s an accounting of what DIY actually costs, because most of that cost is invisible when you make the decision.
What you actually sign up for with DIY
A production-grade DIY platform is never just ArgoCD. By the time it works end to end you have:
- ArgoCD or Flux itself - installed, upgraded, monitored, and secured, with SSO wired to your identity provider and RBAC mapped to your teams.
- A repo structure everyone has to learn: app-of-apps or ApplicationSets, per-environment values, a promotion model, and conventions that live in someone’s head.
- Secrets machinery - external-secrets, SOPS, or Vault glue, each with its own failure modes.
- Scaffolding and golden paths - templates, docs, and the internal wiki explaining which Helm values are safe to touch.
- An on-call rotation that understands all of it. When the platform breaks, the platform team is the single point of failure.
One of our customers put it directly: “We spent 3 months getting ArgoCD stable. Ankra gave us the same GitOps workflow in an afternoon, plus the AI actually understands our cluster state when things break.”
What stays the same with Ankra
The parts of GitOps you actually want are unchanged: Git remains the source of truth, every change is a commit with an audit trail, rollback is a revert, and your manifests are standard Helm charts and Kubernetes YAML you can take anywhere. Ankra’s engine reconciles what’s in your repo - it doesn’t replace your repo with a proprietary format.
What changes
The pieces you were going to build and maintain yourself become the product:
- The engine is managed. No ArgoCD upgrades, no controller capacity planning, no sync-wave debugging at 2am. The reconciliation engine is event-driven and operated for you.
- The YAML is generated, reviewed, and versioned. Describe the service - “Node API, Postgres, autoscaling, TLS on prod” - and the AI drafts the manifests, Helm values, and stack wiring. You review the draft like any PR. Nothing lands without approval.
- Operations are part of the same graph. The AI that built the stack also watches it run. When something breaks, its root-cause analysis reads the same lifecycle data that produced the deployment - which chart version, which values change, which credential - and the fix it proposes is a Git change, not a kubectl command someone has to remember to backport.
- Environments are cloneable. A stack is one object deployed to many clusters with different variables. Local dev, ephemeral staging, and production stay comparable by construction instead of by discipline.
When DIY is still the right call
- You have platform engineers whose full-time job is the platform, and you want that.
- You have compliance requirements that mandate fully self-hosted control planes today (Ankra offers on-prem setup as an enterprise add-on - talk to us if this is the blocker).
- Your delivery model is deeply custom (e.g. progressive-delivery pipelines you’ve already invested years in).
If none of those apply, the honest math is: DIY trades engineer-months per year for control you can also get by keeping your Git repo as the source of truth on a managed platform.
Try the comparison yourself
The free tier is 30 vCPU forever, no credit card. Import an existing cluster, point Ankra at your Git repo, and compare the afternoon it takes against your ArgoCD estimate.