How do I configure the OTel Collector with this skill?

The skill provides a standardized YAML configuration for the OpenTelemetry Collector to receive, process, and export data to backends like Zipkin and Prometheus.

Does it support context propagation across services?

Yes, it covers Baggage propagation to ensure that metadata and tracing context are successfully passed across distributed service boundaries.

Which languages and frameworks does this skill support?

It primarily provides patterns and configurations for Spring Boot (Kotlin/Java) and Next.js/Node.js (TypeScript/JavaScript).

Does this skill include Sentry for error tracking?

Yes, it includes specific implementation patterns for integrating Sentry with Spring Boot, including custom error handling and scope management.

Can I use this for custom business metrics?

Absolutely. The skill includes examples for implementing counters and timers using Micrometer and the OpenTelemetry SDK to track application-specific events.

OpenTelemetry Observability

Name: OpenTelemetry Observability
Author: ashchupliak

byashchupliak

•

Analytics & Monitoring

Implements comprehensive distributed tracing, metrics, and monitoring using OpenTelemetry and Sentry across backend and frontend services.

About

This skill provides standardized patterns for integrating OpenTelemetry observability into modern software architectures, specifically targeting Spring Boot and Next.js environments. It enables developers to implement distributed tracing, custom span management, metrics collection via Micrometer, and seamless Sentry integration for error reporting. By providing ready-to-use configuration patterns and instrumentation examples, it helps teams establish robust monitoring, simplify debugging in distributed systems, and ensure high-fidelity visibility into system performance and application health.

Key Features

Distributed tracing patterns for Spring Boot (Kotlin) and Next.js/Node.js
Metrics collection and instrumentation using Micrometer and Prometheus
Integrated Sentry error reporting with rich contextual metadata
Custom span management and annotation-based tracing implementations
1 GitHub stars
Standardized OpenTelemetry Collector configuration for trace and metric pipelines

Use Cases

Debugging complex performance bottlenecks using baggage propagation and custom spans
Setting up full-stack observability for a microservices architecture
Implementing standardized error handling and monitoring for cloud-native applications

About

Key Features

Distributed tracing patterns for Spring Boot (Kotlin) and Next.js/Node.js
Metrics collection and instrumentation using Micrometer and Prometheus
Integrated Sentry error reporting with rich contextual metadata
Custom span management and annotation-based tracing implementations
1 GitHub stars
Standardized OpenTelemetry Collector configuration for trace and metric pipelines

Use Cases

Debugging complex performance bottlenecks using baggage propagation and custom spans
Setting up full-stack observability for a microservices architecture
Implementing standardized error handling and monitoring for cloud-native applications