From Minikube to prod.
Same stack. Every time.
Build on your laptop, clone to staging, promote to production. Visual Stack Builder, AI-generated manifests, and environment variables that keep every cluster in sync.
The gap between dev and prod is still too wide
Most teams build fast locally, then hit a wall when it is time to ship. Sound familiar?
Works on my machine
Dev uses Minikube, staging runs on EKS, production is GKE. Different configs, different behavior, different bugs.
Onboarding takes weeks
New engineers spend 1-2 weeks learning kubectl, Helm, ArgoCD, and the team's bespoke deploy scripts before they can ship anything.
Manual manifest copying
Promoting from dev to staging means copying YAML, tweaking values, hoping you got the diffs right. One missed env var breaks prod.
Tribal knowledge bottleneck
Only the engineer who built the pipeline knows how it works. When they are on vacation, deployments stall.
How Ankra closes the dev-to-prod gap
Build locally, promote confidently, ship consistently.
Visual Stack Builder
Drag-and-drop your entire environment. Namespaces, databases, apps, ingress. See the dependency graph, not raw YAML.
AI Generates Your Manifests
Press Cmd+J: "Create a backend deployment, 2 replicas, port 8080, health check." The AI writes manifests aware of your existing cluster state.
Clone Dev to Staging to Prod
Build your stack on Minikube. Clone it to staging with one click. Promote to production. Same blueprint, environment-specific variables.
Variables per Environment
Organisation, cluster, and stack-level variables. Dev uses localhost domains, staging uses staging.example.com. The Stack template stays identical.
GitOps from Day One
Every deploy commits to Git. New engineers read the repo to understand the infra. PR reviews for every change. Full audit trail.
New Engineers Deploy on Day One
No kubectl expertise required. The visual builder and AI assistant mean anyone can understand, modify, and deploy stacks immediately.
Tuesday: New payment service, local to prod
Watch what happens when a team builds a new service on Minikube and promotes it to production using Ankra.
Build the service on Minikube
A junior engineer opens the Visual Stack Builder, adds a new namespace, a Postgres addon, and a backend deployment. The AI generates the manifests when she types: "2 replicas, port 8080, /healthz check, 256Mi memory."
Clone to shared dev for team testing
One click clones the stack to the shared dev cluster. Cluster variables swap localhost for dev.internal domain. The database connection string updates automatically.
Promote to staging -- drift caught before it lands
Clone from dev to staging. Ankra orchestrates the deployment: configures ArgoCD with SOPS-encrypted secrets, injects staging variables, and schedules resources in dependency order. The AI flags that staging's ingress controller is outdated before the first pod starts.
Ship to prod with confidence
Final clone to production. The stack arrives as a draft for review. Production cluster variables (domain, TLS certs, alerting channel) are picked up automatically. Click deploy.
New payment service is live in production. Four environments, one template, zero YAML copying. The junior engineer never touched kubectl. The entire journey is in Git.
Ship faster from day one
| Task | Legacy Approach | With Ankra |
|---|---|---|
| Onboard new engineer | 1-2 weeks | Day one |
| Promote dev to staging | Hours of YAML copying | One-click clone |
| Set up CI/CD for new service | 4-6 hours | 30 minutes |
| Debug a failed deploy | 1-2 hours (kubectl + logs) | 5 minutes (AI) |
Close the gap between dev and prod
Build on your laptop, promote to production. New engineers ship on day one.