What is the primary purpose of this skill?

It helps users implement and configure OpenTelemetry for collecting and exporting traces, metrics, and logs in Kubernetes environments.

Does this skill support Kubernetes deployments?

Yes, it provides specific guidance for deploying OTel via Helm charts, DaemonSets, and Sidecar patterns on Kubernetes.

Can I use this to configure OTel Collectors?

Absolutely. It covers the full collector lifecycle including receivers, processors (like memory_limiter and batch), and various exporters.

How does it assist with troubleshooting observability?

The skill includes validation commands, OTLP endpoint testing, and log analysis patterns to identify and fix pipeline bottlenecks or configuration errors.

OpenTelemetry Observability

Name: OpenTelemetry Observability
Author: julianobarbosa

byjulianobarbosa

Analíticas y Monitorización

Implements and configures OpenTelemetry observability pipelines for Kubernetes environments, including traces, metrics, and logs.

Acerca de

This skill empowers Claude to design, deploy, and troubleshoot full-stack observability using OpenTelemetry (OTel). It provides expert guidance on configuring OTel Collectors, setting up telemetry pipelines (receivers, processors, and exporters), and deploying to Kubernetes via Helm or YAML manifests. Whether you are instrumenting a new microservice, enriching data with Kubernetes attributes, or debugging ingestion issues, this skill ensures your monitoring infrastructure follows industry best practices for vendor-neutral observability across your entire stack.

Características Principales

Telemetry data enrichment using k8sattributes and resource processors.
Standardized implementation patterns for production-grade observability.
Kubernetes-native deployment patterns using Helm, DaemonSets, and Sidecars.
Comprehensive OTel Collector configuration for traces, metrics, and logs.
Automated validation and troubleshooting of OTLP endpoints and pipelines.
0 GitHub stars

Casos de Uso

Setting up a centralized telemetry gateway on a Kubernetes cluster.
Instrumenting microservices to export OTLP data to Prometheus, Loki, or Tempo.
Migrating from vendor-specific agents to a neutral OpenTelemetry architecture.

Acerca de

Características Principales

Telemetry data enrichment using k8sattributes and resource processors.
Standardized implementation patterns for production-grade observability.
Kubernetes-native deployment patterns using Helm, DaemonSets, and Sidecars.
Comprehensive OTel Collector configuration for traces, metrics, and logs.
Automated validation and troubleshooting of OTLP endpoints and pipelines.
0 GitHub stars

Casos de Uso

Setting up a centralized telemetry gateway on a Kubernetes cluster.
Instrumenting microservices to export OTLP data to Prometheus, Loki, or Tempo.
Migrating from vendor-specific agents to a neutral OpenTelemetry architecture.