Skills
.Work. You
Rest

dapr-observability-setup

Community

End-to-end observability for DAPR apps.

Software Engineering#logging#metrics#observability#tracing#open-telemetry
AuthorSahib-Sawhney-WH
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Configure OpenTelemetry tracing, metrics, and structured logging for DAPR microservices to gain end-to-end visibility into distributed workloads.

Core Features & Use Cases

  • Distributed Tracing: OpenTelemetry setup with OTLP exporter and auto-instrumentation for FastAPI and HTTP clients.
  • Metrics: Prometheus-compatible metrics exposition and a sample collector config.
  • Structured Logging: JSON-formatted logs to improve traceability and analysis.
  • Use Case: You want full traceability from request to storage across multiple services and backends (Jaeger, Prometheus, Azure Monitor).

Quick Start

Add the tracing, metrics, and logging configuration to your service and call configure_tracing("my-service") to enable traces; start your Prometheus metrics server as shown.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: dapr-observability-setup
Download link: https://github.com/Sahib-Sawhney-WH/dapr-claude-plugin/archive/main.zip#dapr-observability-setup

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository