Plugged into the pipeline, not bolted on after
Titansama doesn't sit outside your delivery process and hope someone checks a dashboard. Every diagnosis, every cost anomaly, and every recommendation is tied back to the exact commit, deploy, and pipeline run that caused it.
Git push
Commit lands on main or a feature branch
CI build & test
GitHub Actions, GitLab CI, or your runner
GitOps deploy
ArgoCD, Flux, or Terraform apply
Titansama watches
Every deploy timestamped and tracked
Impact correlated
Incidents & cost linked to the exact deploy
Root cause always cites the deploy
Every incident on the site so far — "4× OOMKilled within 6 minutes of deploy #4821" — isn't a coincidence. Titansama tracks deploy metadata as a first-class signal, not an afterthought.
Recommendations become pull requests
A rightsizing or HPA tuning suggestion doesn't just sit in a dashboard — it can open a PR against your manifests, reviewed and merged the way your team already ships everything else.
No new process to adopt
Slack for alerts, PagerDuty for paging, Terraform for infra, GitHub/GitLab for the actual fix. Titansama plugs into the DevOps loop your team already runs — it doesn't ask you to run a new one.
Live in an afternoon, not a quarter
No agents per pod, no sidecars to maintain. Titansama connects at the control-plane level and starts building a picture of your fleet immediately.
Connect a cluster
Read-only role, one manifest. Works across EKS, GKE, AKS, and self-managed.
Baseline builds itself
Titansama learns normal for your workloads within the first few hours of traffic.
Agents start watching
Incident triage and cost anomalies begin flowing to Slack or your on-call tool.
You approve, it acts
Every automation ships behind an approval gate until you trust it enough to widen scope.
Stop reading dashboards.
Start reading conclusions.
Titansama is in guided rollout with a limited set of platform teams.