Choose how you want to run.

Compare Ankra with other approaches to application infrastructure and operations. Each comparison describes the tradeoffs and links to its sources.

Ankra compared with 21 products and a DIY toolchain

Each page says when to choose the other option.

What every comparison is measured against

Most products cover one or two of these jobs. Ankra covers all of them on the infrastructure you choose. Each comparison also says where Ankra stops, such as the features still in closed beta.

Clusters
Build kubeadm or k3s on Hetzner, OVHcloud, UpCloud, DigitalOcean, AWS EC2 and Proxmox VE, create EKS, GKE, AKS, DOKS, OVHcloud MKS and UKS, or import any conformant cluster. Scaleway, HPE Morpheus and Ankra Cloud are in closed beta.
Operations
Upgrades, node groups, power schedules and bastion access on the clusters Ankra builds, with autoscaling and rolling OS patching on the public clouds.
Stacks and GitOps
Helm add-ons and manifests in dependency order, versioned stack profiles and two-way Git sync on GitHub or Bitbucket Cloud, with Ankra's own engine.
Ship your code
Repository to running service with in-cluster CI, Semgrep, Checkov and Trivy gates, a private registry, build once and promote, and verified deploy provenance.
Security
Running-workload CVEs ranked by CISA KEV and EPSS, optional SBOMs, and Pod Security evidence, plus CIS and NSA/CISA where enabled.
Cost
List-price cost estimates per namespace, stack and application, budgets and repricing a cluster on other providers.
Backups and alerts
Backups to a bucket you own, with restore in place for volumes and database dumps, and alerts routed to Slack, Teams, PagerDuty or webhooks.
AI
An assistant, alert analysis, pull-request reviews and fix PRs. Ankra AI asks before every cluster write by default, and can run on your own model.

Switching from a specific tool?

Each of these pages answers why teams move, what stays the same and how to try Ankra on one cluster or one app.

You built it. Let’s get it live.

Give your application a path to production. Give your team a simpler way to run it.

From something you built to something people use.

  • Deploy from your repository
  • Run on infrastructure you choose
  • Operate with your team and agents