Correlate Spinnaker pipeline executions with application health and logs for RCA.
npx skills add https://github.com/Arvo-AI/aurora --skill spinnaker
Please help me install this Agent Skill. Skill: spinnaker Source: https://github.com/Arvo-AI/aurora/tree/main/server/chat/backend/agent/skills/integrations/spinnaker Command: npx skills add https://github.com/Arvo-AI/aurora --skill spinnaker
Spinnaker-based RCA often requires harmonizing deployment data, health signals, and logs to identify the root cause and determine safe rollback actions.
Ask the agent to fetch recent pipelines for your application, review the most likely failing deployment, and trigger a rollback if the user confirms.
High-intent search queries and answers about installing and using this skill.
To investigate a Spinnaker pipeline execution for root cause analysis, you can correlate recent pipeline activity with incident timing by scoping pipeline executions, application health, and logs across environments.
To rollback a failing deployment in Spinnaker, the agent identifies the failing pipeline execution, validates the RCA findings with you, and then triggers a safe rollback action after explicit confirmation.
Yes, you can correlate application health and execution logs across multiple environments during a CI/CD incident. The agent centralizes Spinnaker pipeline context to pinpoint release timing and determine rollback needs.
The best way to trigger a pipeline in Spinnaker after validating incident findings is to request the agent to execute the trigger_pipeline action, ensuring safe rollback readiness and remediation once the RCA is confirmed.
No, you do not need to manually list pipeline configs before diagnosing a Spinnaker deployment issue. The agent enumerates actions like list_pipeline_configs and recent_pipelines automatically to perform analysis and remediation.
oalansilvaDraft incident postmortems with timeline, RCA, and action items.
ulises-jeremiasDraft and review incident reports and RCA notes for IT operations.
HerxinsasaParse and analyze multi-format application and system logs to identify errors and root causes.
patternincDiagnose production issues by querying logs, metrics, and traces from CLIs.
