Commit → production → AI

01 · Commit to production

One commit, and every cluster catches up

The developer pushes. Ankra generates the build, the scan and the publish, writes the immutable tag back to Git, and the engine reconciles it onto the whole fleet — no pipeline authored by hand.

02 · Production automation

The work that used to be a ticket is handled in the loop

Failed rollouts, drift, expiring certificates and fresh CVEs resolve themselves. Anything that needs a change returns to the start as a commit, and takes the same path.

03 · AI agents on the same flow

Agents attach to the flow, they don't replace it

Review on commit, tests and log-watch on merge, and an event-driven SRE agent that has already investigated by the time anyone is paged.

push DEVELOPER Commit git push ANKRA GENERATES THE PIPELINE Build from source Scan CVE · SBOM Publish sha-<commit> tag SOURCE OF TRUTH Git image tag reconciles dev staging prod · eu-north prod · us-east HANDLED WITHOUT A PERSON Rollout fails retried, then rolled back Drift from Git reconciled back to the repo Certificate expiring re-issued before it lapses New CVE on a live image bump PR opened for you anything else returns as a commit ON COMMIT Code Review Agent Reviews the diff against the repo's own conventions and pushes the fix as a commit. on: pull_request ON MERGE Test & Release Agent Runs the suite, watches the rollout, reads the new logs against the previous release. on: merge to main ON EVENT AI SRE Agent Investigates before it pages anyone. Wakes on p95 over SLO · OOMKilled · rollout stuck drift from Git · new CVE on a live image
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