anubis-studios/agentic-bundle-aas-observability-ir

Build AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.

Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability.

Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.

Create and manage production-ready Grafana dashboards for comprehensive system observability.

Expert SRE incident responder specializing in rapid problem resolution, modern observability, and comprehensive incident management.

Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production.

Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works.

Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows.

Effective patterns for on-call shift transitions, ensuring continuity, context transfer, and reliable incident response across shifts.

Diagnose performance bottlenecks using profiling, traces, load tests, and observability; verify latency and capacity improvements.

Comprehensive guide to writing effective, blameless postmortems that drive organizational learning and prevent incident recurrence.

Framework for defining and implementing Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.