“OpenTelemetry”

Observability patterns for Python applications.

Adds Arize AX tracing to an LLM application for the first time.

Observability principles for Go services: structured logging, distributed tracing, metrics, context propagation, and HTTP service bootstrap.

Build typed, provider-agnostic agents with PydanticAI.

Report AI workflow friction, improvement suggestions, and session diagnostics to the rqmd telemetry service.

Create a shared ServiceDefaults project for Aspire applications.

Add host-neutral telemetry or instrumentation and preserve placeholder comments for the host event schema, HOST_TELEMETRY_SYSTEM, and privacy rules.

Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web).

Configure and operate authorized Sentry organizations, projects, SDKs, releases, source maps, alerts, issues, performance, tracing, and deployment health.

Comprehensive backend development guide for Langfuse's Next.js 14/tRPC/Express/TypeScript monorepo.

Production-grade AI skill specializing in building ultra-fast, reliable backend systems using Rust, Tokio, Axum, Tower, SQLx, lock-free concurrency…

Expert performance engineer specializing in modern observability, application optimization, and scalable system performance.

Structured logging, distributed tracing, and metrics collection patterns for building observable systems.

Analyzes AI Agent Skill performance and resource consumption to justify ROI.