Workflow Templates

Golden paths, self-service, and guardrails for your platform.

• Fulfill developer requests with justification and approval
• Provision environments with guardrails baked in
• Standardize team operations with governed workflows

Faster incident response, fewer 2am pages.

• Investigate alerts and post context before anyone is paged
• Roll back failed deploys when health checks fail
• Auto-remediate known issues behind approval gates

CI/CD glue and day-2 operations, automated.

• Trigger deploys on merge and verify with health checks
• Retry failed pipelines after a review of the logs
• Clean up stale resources on a schedule

Detect, contain, and remediate — with approvals built in.

• Contain threats: block IPs, capture logs, notify the team
• Gate IAM and firewall changes behind approval
• Run scheduled compliance checks with audit trails

Database operations without the late-night escalations.

• Investigate slow queries and post findings to Slack
• Route schema changes through team approval
• Watch replication lag, storage, and connections on a schedule

Provisioning, cleanup, and cost control across your clouds.

• Provision infrastructure with IaC and approval gates
• Clean up idle and unattached resources on a schedule
• Investigate cloud incidents and apply fixes after approval

Incident response and cluster operations on autopilot.

• Investigate crash-looping pods and apply fix after approval
• Roll back failed rollouts and alert the on-call engineer in Slack
• Route kubectl changes through approval with a full audit trail

Cost cleanup, incident response, and guarded changes.

• Clean up unused EBS volumes, idle LBs, and stale snapshots
• Investigate CloudWatch alarms before anyone gets paged
• Gate IAM and security-group changes behind Slack approvals

Keyless automation across GKE, Cloud Run, and billing.

• Roll back Cloud Run revisions when health checks fail
• Snapshot and delete unattached disks on a schedule
• Triage Cloud Logging error patterns with AI investigation

DNS, security, and edge operations automated.

• Create DNS records from developer requests with approval
• Block suspicious IP ranges when attack traffic spikes
• Purge caches after deploys and confirm propagation in Slack

Query ClickHouse cluster health, cost, and operations.

• Investigate slow queries with AI and post findings to Slack
• Watch replication lag and disk usage with scheduled checks
• Route schema changes through team approval before they run

Job reliability and compute cost control for your lakehouse.

• Retry failed jobs after an AI review of the run logs
• Shut down idle clusters automatically to cut compute spend
• Route workspace permission changes through approvals

Postgres health, guarded changes, and scheduled checks.

• Investigate slow queries and post findings to Slack
• Route destructive SQL through approval before it runs
• Watch connection counts and storage with scheduled checks

Plan, approve, and apply — with drift detection built in.

• Run plans on a schedule and flag drift before it bites
• Summarize plans with AI and post them to your team channel
• Apply infrastructure changes only after Slack approval

Stack updates with previews, approvals, and rollbacks.

• Preview stack changes and post AI summaries for review
• Gate stack updates behind team approval gates
• Detect failed deployments and roll the stack back