Which frameworks does this skill support?

The analyzer currently supports popular frameworks including Express.js, Next.js, FastAPI, and Spring Boot.

Does it work with existing logging libraries?

Yes, it detects existing libraries like Winston or Pino and provides configurations to bridge them with modern observability backends.

Does it modify my source code directly?

It generates integration files and code snippets, such as otel-instrumentation.js and updated Docker files, which you can then review and apply to your project.

Can it help me move to the LGTM stack?

Yes, it specifically generates configurations to integrate your application with the Loki, Grafana, Tempo, and Mimir observability stack.

Project Observability Analyzer

Name: Project Observability Analyzer
Author: adaptationio

byadaptationio

Analytics & Monitoring

Automates the analysis and integration of logging, metrics, and tracing into existing software applications.

About

This skill streamlines the process of adding observability to modern applications by scanning project structures, identifying frameworks, and recommending customized monitoring strategies. It detects existing logging and metrics setups to generate production-ready OpenTelemetry (OTEL) instrumentation, Prometheus configurations, and Docker Compose files. By providing a clear roadmap and implementation files, it ensures developers can quickly achieve full visibility into their application's performance and health without manual configuration overhead.

Key Features

Generates OpenTelemetry (OTEL) auto-instrumentation code for distributed tracing
Automated framework detection for Express, Next.js, FastAPI, and Spring Boot
Provides logging configurations for libraries like Winston, Pino, and Python logging
Creates updated Docker Compose manifests for LGTM (Loki, Grafana, Tempo, Mimir) stacks
0 GitHub stars
Identifies API endpoints to recommend specific Prometheus metrics and exporters

Use Cases

Optimizing application performance visibility by identifying missing instrumentation points
Retrofitting legacy microservices with modern distributed tracing and structured logging
Setting up a standardized monitoring stack for a newly scaffolded web application

About

Key Features

Generates OpenTelemetry (OTEL) auto-instrumentation code for distributed tracing
Automated framework detection for Express, Next.js, FastAPI, and Spring Boot
Provides logging configurations for libraries like Winston, Pino, and Python logging
Creates updated Docker Compose manifests for LGTM (Loki, Grafana, Tempo, Mimir) stacks
0 GitHub stars
Identifies API endpoints to recommend specific Prometheus metrics and exporters

Use Cases

Optimizing application performance visibility by identifying missing instrumentation points
Retrofitting legacy microservices with modern distributed tracing and structured logging
Setting up a standardized monitoring stack for a newly scaffolded web application