quality-observability-performance
CommunityBuild observable, high-performance production systems.
Software Engineering#performance#logging#metrics#observability#tracing#capacity planning#SLO#OpenTelemetry
Authorvasilyu1983
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Debugging and optimizing complex cloud-native systems is challenging without proper visibility into their behavior and performance. This Skill provides execution-ready patterns for building observable and performant systems.
Core Features & Use Cases
- Unified Observability: Implement OpenTelemetry for distributed tracing, Prometheus for metrics, and structured logging for comprehensive system visibility.
- SLO-Driven Reliability: Define Service Level Objectives (SLOs) and Service Level Indicators (SLIs) to drive alerting, manage error budgets, and ensure system reliability.
- Performance Engineering: Conduct CPU/memory profiling, capacity planning, load testing, and frontend performance optimization to proactively identify and resolve bottlenecks.
Quick Start
Use the quality-observability-performance skill to set up OpenTelemetry instrumentation for my Node.js microservice and define SLOs for its API endpoints.
Dependency Matrix
Required Modules
None requiredComponents
referencesassets
💻 Claude Code Installation
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Please help me install this Skill: Name: quality-observability-performance Download link: https://github.com/vasilyu1983/AI-Agents-public/archive/main.zip#quality-observability-performance Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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