logging
Structured logging patterns for the 3SC widget host. Covers Serilog configuration, log levels, correlation IDs, sensitive data handling, and diagnostic contexts.
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Structured logging patterns for the 3SC widget host. Covers Serilog configuration, log levels, correlation IDs, sensitive data handling, and diagnostic contexts.
Monitor applications, investigate performance issues, and analyze observability data in New Relic. Use when the user needs APM metrics, error tracking, infrastructure monitoring, or incident analysis.
Track and report agent invocation metrics including usage counts, success/failure rates, and completion times. Use for understanding which agents are utilized, identifying underused agents, and optimizing agent...
Analyze, compare, and debug Applitools test logs. Use when comparing log files, finding test failures, identifying performance bottlenecks, or preparing logs for analysis.
Guidelines and examples for using the ctxlog logging package.
WHAT: OpenTelemetry tracing with useTracer hook for spans and distributed traces. WHEN: tracking user actions, monitoring async operations, debugging production issues. KEYWORDS: tracing, OpenTelemetry, OTEL, s...
Analyzes BullMQ job queues for performance, failure rates, retry patterns, and job processing issues
Generate OpenTelemetry instrumented handlers and services with span creation, attributes (tenantId, actorId, operation), and error recording. Use when adding observability or distributed tracing.
Heartbeat update protocol for Ralph agents - when/how to update coordinator-state.json
Logs development sessions in real-time to track decisions and issues.
Observability standards for services: structured logging schema, metrics naming and label rules, trace context propagation, correlation IDs, sensitive-data handling, and cardinality controls
Standardize and package logs, metrics, and traces into services by default using a lightweight stack and shared instrumentation with dashboards and alerting
Setup structured logging, performance monitoring, and error tracking. Use when user needs logging system, error tracking, performance monitoring, or says "setup logging", "add error tracking", "monitor performa...
Complete ACM (Automated Condition Monitoring) expertise system for predictive maintenance and equipment health monitoring. PROACTIVELY activate for: (1) ANY ACM pipeline task (batch runs, coldstart, forecasting...
Use when users request Kubernetes deployment configs, CI/CD pipelines, or Docker configurations - ensures systematic discovery, complete artifact generation, and production-ready best practices through structur...
Use this skill when looking at exception reports from skyline.ms.
Optimizes Grafana Jsonnet dashboard content for observability and SRE best practices (RED/USE/Golden Signals). Use when auditing dashboard quality, improving monitoring effectiveness, enhancing diagnostic capab...
Converts Grafana dashboard JSON exports to Jsonnet using grafana-code mixin conventions. Use when importing dashboards from Grafana UI exports, migrating to infrastructure-as-code, or integrating JSON dashboard...
Refactors Grafana Jsonnet dashboards to eliminate duplication and align with available unified libraries while preserving behavior. Use when dashboards contain duplicated code, inconsistent patterns, legacy pan...
Converts Python report scripts (Elasticsearch queries + email output) into Grafana Jsonnet dashboards with dual-datasource support (ClickHouse + Elasticsearch ES7/ES8). Use when migrating scheduled email report...
Pre-built audit probes for Cloudflare services. Reference these query patterns when validating D1 indexes with EXPLAIN QUERY PLAN, checking observability data, auditing AI Gateway costs, performing queue health...
ロギングやモニタリングを実装する際に使用。
Create log entries with timestamps. Use this when documenting discoveries, research findings, meetings, code reviews, articles, videos, or significant events during development.
Automatically investigate logs when errors occur, debugging issues, or troubleshooting problems. Check frontend logs (LogViewer) and backend logs (daily log files) for error patterns. Use when user reports bugs...
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