Configure OpenTelemetry tracing and metrics for Spring Boot services.
npx skills add https://github.com/AndVl1/claude-plugin --skill opentelemetry-andvl1
Please help me install this Agent Skill. Skill: opentelemetry Source: https://github.com/AndVl1/claude-plugin/tree/main/skills/opentelemetry Command: npx skills add https://github.com/AndVl1/claude-plugin --skill opentelemetry-andvl1
OpenTelemetry patterns for Spring Boot, Kotlin, and cloud-native stacks to enable distributed tracing, metrics, and Sentry integration across services.
Use the opentelemetry skill to add tracing to your Spring Boot application by configuring the OTLP endpoint and including the opentelemetry-spring-boot-starter dependency. For example, add the necessary dependencies and set OTLP endpoint in application.yaml, then initialize a Tracer and create spans around critical operations.
High-intent search queries and answers about installing and using this skill.
To instrument Spring Boot with OpenTelemetry, include the opentelemetry-spring-boot-starter dependency, configure the OTLP endpoint in application.yaml, initialize a Tracer, and create spans around critical operations to emit traces and metrics.
Yes, you can integrate Sentry for error monitoring in Kotlin microservices by configuring OpenTelemetry to export error traces and alerts, enabling distributed tracing and alerting across cloud-native stacks.
Enabling distributed tracing across microservices requires configuring OTLP exporters and OpenTelemetry dependencies in each service, allowing you to aggregate traces and metrics across multiple languages and architectures.
OpenTelemetry works with Java and Kotlin cloud-native stacks by applying observability patterns to Spring Boot services, supporting traces, metrics, and Sentry integration across distributed systems.
Yes, you need to configure OTLP endpoints in your application configuration to enable exporters that emit traces, metrics, and alerts to your observability backend.
You need distributed tracing in a microservice architecture when monitoring requests across multiple services and languages, requiring OTLP exporters and dashboards to visualize traces and metrics end-to-end.
Mesh-LLMIngest OTLP telemetry into DuckDB and export benchmark reports via HTTP API.
tassosgomesConfigure OpenTelemetry in ASP.NET Core to export traces, metrics, and logs to an OTLP collector.
zenobi-usDesign and implement Spring Boot 3.x microservices with Kubernetes deployment patterns.
CodingHeaderImplement distributed tracing, structured logging, and metrics for Python applications.
