# Ankra

> Ankra is the AI platform engineer. Describe what you want to ship in plain language and Ankra's AI builds the Kubernetes Stack, reconciles it through Ankra's native event-driven GitOps engine, and operates the cluster across any cloud - so developers move without tickets and platform teams scale without growing headcount. No YAML, no kubectl, no ArgoCD or Flux to babysit, no lock-in.

## Product
- [Home](https://ankra.ai/): From prompt to production - the AI platform engineer for Kubernetes.
- [Why Ankra](https://ankra.ai/why-ankra): Who it's for, results teams see in the first week, and the draft-approve-commit governance behind the AI.
- [Features](https://ankra.ai/features): AI stack builder, native GitOps delivery, and AI incident response that resolves issues with root-cause fixes.
- [How it works](https://ankra.ai/how-it-works): Prompt, review/approve, reconcile through Ankra's native GitOps engine, and let the AI keep it healthy.
- [Pricing](https://ankra.ai/pricing): Free forever for small teams, no credit card required; pay only for what you use.

## Compare
- [Compare overview](https://ankra.ai/compare): Honest, scenario-based comparisons with other approaches and tools.
- [Ankra vs DIY GitOps](https://ankra.ai/compare/ankra-vs-diy-gitops): What building on ArgoCD + toolchain actually costs versus a managed AI platform engineer.
- [Ankra vs Komodor](https://ankra.ai/compare/ankra-vs-komodor): Observe your Kubernetes, or operate it - the architectural difference.
- [Ankra vs Kubermatic](https://ankra.ai/compare/ankra-vs-kubermatic): Run a Kubernetes factory yourself, or let the AI platform engineer run what lives on the clusters.
- [Ankra vs Spectro Cloud](https://ankra.ai/compare/ankra-vs-spectro-cloud): Manage the metal downward, or run everything above the cluster - opposite directions from the same starting point.
- [Ankra vs Rancher](https://ankra.ai/compare/ankra-vs-rancher): A console your team operates, or an AI engineer that does the operating.
- [Ankra vs OpenShift](https://ankra.ai/compare/ankra-vs-openshift): Adopt a distribution and staff it, or add an AI platform engineer to the Kubernetes you have.
- [Ankra vs Portainer](https://ankra.ai/compare/ankra-vs-portainer): A GUI that makes Kubernetes clickable, or an AI that makes it operated.
- [Changelog](https://ankra.ai/changelog): Shipped features and platform updates.

## Use cases
- [Use cases overview](https://ankra.ai/use-cases): Multi-cloud, edge, and local-to-production Kubernetes without a platform bottleneck.
- [AI Platform Engineer](https://ankra.ai/use-cases/ai-platform-engineer): Agentic Kubernetes operations with prompt-to-Stack generation, native GitOps, cluster-aware diagnosis, and approval-gated fixes.
- [Multi-cloud Kubernetes](https://ankra.ai/use-cases/multi-cloud): Run EKS, GKE, AKS, and on-prem from a single control plane with zero lock-in.
- [Edge computing](https://ankra.ai/use-cases/edge-computing): Operate distributed Kubernetes fleets with AI troubleshooting and GitOps.
- [Local dev to production](https://ankra.ai/use-cases/local-dev-to-production): Clone production-like environments on a laptop, in CI, or as on-demand staging.
- [Migrate from ArgoCD or Flux](https://ankra.ai/use-cases/migrate-from-argocd-flux): Keep the GitOps contract without running a delivery controller in every cluster; per-addon migration adopts live resources without restarting pods.
- [Kubernetes cost optimization](https://ankra.ai/use-cases/kubernetes-cost-optimization): Cut spend through workload placement, portable stacks, and no per-cluster platform tax.
- [CI/CD pipelines](https://ankra.ai/use-cases/ci-cd-pipelines): Validate cluster changes on a pull request, wait for a verified rollout on merge, and diagnose failures - with no kubeconfig in the runner.

## Company
- [About](https://ankra.ai/about): Engineer-first company absorbing Kubernetes complexity. Zero lock-in, always.
- [Careers](https://ankra.ai/careers): Open roles building the AI platform engineer.
- [Partners](https://ankra.ai/partners): Partner with Ankra - cloud providers, technology integrations, and service partners bringing AI-operated Kubernetes to their customers.
- [Blog](https://ankra.ai/blog): Guides on platform engineering, GitOps, and AI-driven operations.

## Documentation
- [Docs](https://docs.ankra.ai/): Product documentation for the Ankra platform.
- [Quickstart](https://docs.ankra.ai/quickstart): Get started with Ankra.
- [AI assistant](https://docs.ankra.ai/essentials/ai-assistant): Use the Ankra AI assistant to build and operate Kubernetes.
- [Changelog](https://docs.ankra.ai/changelog): What's new in Ankra.
- [API reference](https://docs.ankra.ai/api-reference/introduction): Ankra platform API.

## Security & trust
- [Security](https://ankra.ai/security): Architecture, the controls matrix (shipped, opt-in, in progress), and how to report a vulnerability.
- [Security Center](https://ankra.ai/security/security-center): Fleet vulnerability findings, accepted-risk decisions, NetworkPolicy over-privilege scoring, and compliance evidence for the clusters you run.
- [Vulnerability disclosure](https://ankra.ai/security/disclosure): Scope, how to report, response commitment, and safe harbor for good-faith research.
- [Trust](https://ankra.ai/trust): SOC 2 posture, data handling, and sub-processors for buyers and compliance teams.

## Legal
- [Terms of Service](https://ankra.ai/terms)
- [Privacy Policy](https://ankra.ai/privacy)
- [Cookie Policy](https://ankra.ai/cookies)

## Contact
- Email: hello@ankra.ai
- Security: security@ankra.ai
- Sitemap: https://ankra.ai/sitemap.xml