streaming-output
Output format markers for the real-time stream formatter. Use when building prompts for streaming analysis to ensure proper progress display. Documents the patterns that StreamFormatter detects and displays.
Output format markers for the real-time stream formatter. Use when building prompts for streaming analysis to ensure proper progress display. Documents the patterns that StreamFormatter detects and displays.
Observability standards for services: structured logging schema, metrics naming and label rules, trace context propagation, correlation IDs, sensitive-data handling, and cardinality controls
Plan backend observability using RED + USE + 4 Golden Signals + JTBD
Production monitoring, observability, SLO/SLI management, and incident response. Trigger terms: monitoring, observability, SRE, site reliability, alerting, incident response, SLO, SLI, error budget, Prometheus, Grafana, Datadog, New Relic, ELK stack, logs, metrics, traces, on-call, production monitoring, health checks, uptime, availability, dashboards, post-mortem, incident management, runbook. Completes SDD Stage 8 (Monitoring) with comprehensive production observability: - SLI/SLO definitions and tracking - Monitoring stack setup (Prometheus, Grafana, ELK, Datadog, etc.) - Alert rules and notification channels - Incident response runbooks - Observability dashboards (logs, metrics, traces) - Post-mortem templates and analysis - Health check endpoints - Error budget tracking Use when: user needs production monitoring, observability platform, alerting, SLOs, incident response, or post-deployment health tracking.
Designs and configures alerting rules for monitoring systems
Designs and configures monitoring solutions for applications and infrastructure
Search Datadog logs via API - query syntax, storage tiers (indexes, flex, online-archives), pagination. Use when searching logs or using the dd search-logs command.
Use sentry-cli for release management, debug information files/source maps, sending events, and cron monitor check-ins. Use when configuring authentication, verifying CLI setup, uploading debug files, or running monitors via sentry-cli; not for issue triage/resolution, org/team management, or billing.
Use when querying Grafana dashboards, Prometheus metrics, Loki logs, alerting, or incidents - provides workflows and patterns for Grafana MCP tools including datasource discovery, efficient dashboard access, and query construction
Verifies that a telemetry span complies with FPF Discipline-Health (G.12).
Use when implementing observability for Microsoft Agent Framework agents. Triggers: "agent observability", "OpenTelemetry agents", "agent metrics", "agent tracing", "Aspire dashboard". NOT for: Non-Microsoft agent frameworks or basic logging.
Investigate platform incidents, perform RCA, create incident documentation, and follow alert runbooks in the Kagenti platform
Query and analyze logs using Grafana Loki for the Kagenti platform, search for errors, and investigate issues
DevOps Monitor Agent. 시스템 모니터링, 로그 분석, 상태 확인을 담당합니다. 모니터링, 상태(status), 로그(logs), 알림 관련 요청 시 사용됩니다.
Use when building distributed apps with Aspire; orchestrating .NET, JavaScript, Python, or polyglot services; when environment variables or service discovery aren't working; when migrating from .NET Aspire 9 to 13+ or Community Toolkit; when seeing AddNpmApp deprecated errors; when OTEL not appearing in dashboard; when ports change on restart breaking OAuth; when configuring MCP server for AI assistants; when debugging Aspire apps and need to check resource status or logs
Use when debugging errors with Sentry context, investigating production issues, triaging Sentry alerts, or when user mentions "sentry", "error tracking", "production error", or "investigate issue"
Monitoring and observability tools including Prometheus, OpenTelemetry, and Netdata
Expert in ELK stack management, optimization, and deployment. Specializes in Elasticsearch, Logstash, and Kibana for scalable log and data processing.
Managing instance actor orchestrations for PostgreSQL health monitoring. Use when debugging stale actors, restarting actors, or troubleshooting health check issues.
Instrument API requests with spans and distributed tracing. Use when tracking request latency or debugging API issues.
Monitor message queues, job processing, and detect backpressure