From build to run

Your agent builds it. Ankra runs it.

Connect the application you have built. Ankra brings deployment and operations together on your cloud or private servers, with your team in control.

Simple, Secure Architecture

Your cluster stays in your environment. The agent handles communication.

Your Cluster

EKS, GKE, AKS, on-prem, local

Ankra Agent
Lightweight, outbound-only

Ankra Platform

UI, AI, GitOps engine

Dashboard & Stack Builder
AI Assistant
Git Sync
Your Git Repository
Source of truth for configs

Outbound-Only Agent

The agent connects to Ankra's platform - your cluster never exposes any ports. No firewall changes, no ingress configuration.

Your Data, Your Control

Sensitive data like secrets are never sent to the AI. Configurations live in your Git repo. You can remove the agent anytime.

Works Everywhere

Cloud providers (EKS, GKE, AKS), on-premises clusters, local development (Minikube, Kind). If it runs Kubernetes 1.24+, it works.

Get Started in 4 Steps

Connect, prepare, deploy and operate the application you have built.

01

Connect your application and infrastructure

Start with code you have built. Connect its Git repository and choose an existing cluster, or provision one through Ankra.

  • Start with one application
  • Import a cluster or provision a new one
  • Use the cloud account you already have
Your application repository
        ↓
Ankra
        ↓
Your cloud or private servers
02

Prepare and review what it needs

Tell your agent which services the application needs. Ankra helps prepare the deployment configuration and supporting services. Review AI stack drafts before deployment.

  • Configuration stored in your Git repository
  • Reusable stacks and profiles
  • Access scoped for your team and agents
You: "Prepare my app with Postgres and a cache."

Agent: Drafts the infrastructure configuration.
Your team: Reviews the proposed changes.
03

Deploy through Ankra

Ankra Pipelines builds and scans your code, publishes an immutable image and deploys it to your selected cluster. GitOps reconciles infrastructure configuration.

  • Built-in container build and security scanning
  • Deploy a versioned image
  • Follow pipeline and deployment status
Code → Build → Scan → Image → Deploy

A running application on your infrastructure.
04

Operate with live context

When a deployment fails or a service has an issue, your agent can inspect current logs, events and resource state, explain the cause and propose a fix.

  • Use Ankra AI or connect your coding agent
  • Grant individual MCP tools and scoped access
  • Review gated actions before execution
You: "Why is my application failing?"

Agent: Reads logs, events and resource state.
Agent: Explains the cause and proposes a fix.

What Data Flows Where

Transparency about what the agent sends and what stays in your cluster.

Sent to Ankra Platform

  • Resource metadata (names, namespaces, labels)
  • Pod/deployment status and events
  • Container logs (for AI analysis)
  • Helm release information
  • Resource health and metrics

Never Sent

  • Secret values or credentials
  • ConfigMap sensitive data
  • Service account tokens
  • Your application data
  • Anything marked sensitive
The whole loop

One commit, followed all the way round

Watch a real deployment workflow: build, three scans, an immutable image, publication to the catalogue, installation onto three clusters including one built on Hetzner during the film, and the operational life that follows.

Plays from YouTube. Open on YouTube instead

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Ready to run your first application?

Free tier available. No credit card required.

Get Started FreeQuickstart Guide