From one commit to every cluster: the Ankra platform, end to end

One commit, followed all the way round the Ankra platform. A developer pushes to main; Ankra Pipelines checks out, builds, scans the code, the configuration and the image, gates on the findings and publishes an immutable image. The app is published to the organisation's catalogue as an add-on with declared inputs, installed from there onto three clusters - two homelab clusters and one Ankra built on Hetzner during the film, online in two minutes and forty-one seconds - and proven live over TLS. Then the part most platforms leave out: health as a read, executions you can list and retry, scaling by changing one input, agent upgrades in place, backup vaults, and an AI that diagnoses a crash loop from the same logs you would read - and waits for a person before it changes anything. Every command output and every portal frame is real, captured on 7 September 2026 in a real organisation. Nothing was mocked, including the moment the pipeline told us to upgrade a cluster's agent. Chapters 0:00 The whole loop 0:23 The shape of it: commit, build, catalogue, fleet, lifecycle 0:59 A commit and a push 1:12 Ankra Pipelines: checkout, build, three scans, gate, publish 1:31 Push to deploy: live, serving the commit 1:48 The scans are not decoration 2:07 Publish the app to the catalogue 2:31 Your add-on next to 690 charts 2:42 Let Ankra build a cluster: online in 2:41 2:58 Watch it come up 3:12 Install from the catalogue onto three clusters 3:28 Stack profiles: dry run, draft, deploy 3:45 Proof: live over TLS with Let's Encrypt 4:01 Stacks: what is declared is what runs 4:16 Operate: logs, executions, scale by one input 4:42 Upgrade the agent in place, rerun the pipeline 5:01 Backups: vaults and the Velero profile 5:17 AI alongside: diagnosing a crash loop 5:39 Humans in control 5:57 From a commit to a fleet 6:10 ankra.ai Try it free: https://platform.ankra.app Docs: https://docs.ankra.ai Ankra: https://ankra.ai Ankra is the AI platform engineer for Kubernetes: create or import clusters on any cloud, build and ship applications through Ankra Pipelines, distribute them from a catalogue of add-ons and stack profiles, and let AI agents operate them with human approval.