observability-troubleshooting
Add or improve observability (logs, metrics, traces, alerts) and troubleshoot production or performance issues. Use when diagnosing incidents, defining SLOs, or instrumenting critical paths.
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Add or improve observability (logs, metrics, traces, alerts) and troubleshoot production or performance issues. Use when diagnosing incidents, defining SLOs, or instrumenting critical paths.
Comprehensive DAPR (Distributed Application Runtime) skill for building distributed microservices from hello world to professional production systems. Provides guidance on DAPR setup, building blocks (service i...
Manage manifests, Helm charts, autoscaling, and disruption budgets.
Define alerts, escalation, and incident response.
Structured logging and distributed tracing for Rust.
Use this agent to implement error tracking with Sentry or similar service for production error monitoring. User: "Set up Sentry for error tracking" Agent: Use error-tracking to integrate Sentry User: "Moni...
Centralize logs with ELK/EFK and retention policies.
Tune log levels, structure, and sampling.
Use this agent when implementing structured logging with proper log levels, formatting, and rotation. User: "We're using print statements instead of proper logging" Agent: Use logging-system to implement stru...
Use this agent to monitor application performance, API response times, and database query performance. User: "Add API response time monitoring" Agent: Use performance-monitoring to add metrics User: "Track...
Production incident debugging playbook for Java services: triage with logs/metrics/traces, safe JVM diagnostics (jcmd/JFR/thread dumps), rollback decision tree, communication, and blameless postmortems. Use dur...
Design and implement service metrics (counters, gauges, timers, histograms) with strict label/cardinality rules and SLO-ready signals. Use when adding KPIs/SLOs, building dashboards, or preventing metrics cardi...
Implement structured logging (JSON/logfmt), correlation IDs, and safe log policies (levels, redaction, sampling). Use when incident response is slow, tracing request flows is hard, or logs are inconsistent acro...
Manage metadata, lineage, and discovery.
Implement immutable audit logging and SIEM integration.
Implement distributed tracing with OpenTelemetry (context propagation, sampling, semantic conventions, span design) and integrate with logs/metrics. Use when debugging microservices latency, dependency failures...
Generate system health dashboard with compound engineering metrics
Complete Eureka V6.1 Context Engineering suite with observability, structured output, and hybrid memory
Deploy metrics, logs, tracing, and SLO tracking.
Structured logging (Pino) and Prometheus metrics.
Use when researching a specific pillar and need to create traceable evidence objects. Guides creation of YAML evidence files with semantic IDs, confidence scores, and assumptions.
EJ's structured deployment debugging workflow for when code changes are not reflected after deployment. Use when users report deployment failures, changes not appearing in production, build errors, CI/CD pipeli...
Troubleshoot Olakai monitoring issues when something isn't working. AUTO-INVOKE when user mentions: events not appearing, KPIs showing wrong values, KPIs showing strings instead of numbers, custom data missing,...
Generic AIOps (AI for IT Operations) patterns and best practices for 2025. Provides comprehensive implementation strategies for intelligent monitoring, automation, incident response, and observability across an...
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