Which telemetry signals are supported?

The skill supports the three core pillars of observability: Traces, Metrics, and Logs.

Does it support different deployment modes?

Yes, it provides guidance for DaemonSet (node-level), Deployment (gateway), and Sidecar modes, explaining the trade-offs of each.

Can it help configure specific OTel processors?

Absolutely, it provides guidance for critical processors like memory_limiter, batch, and k8sattributes for data enrichment.

Does this skill help with Helm chart deployments?

Yes, it includes specific configurations and commands for deploying the OpenTelemetry Collector using Helm on Kubernetes.

OpenTelemetry Observability

Name: OpenTelemetry Observability
Author: julianobarbosa

byjulianobarbosa

分析と監視

Configures and deploys OpenTelemetry pipelines to manage traces, metrics, and logs in Kubernetes environments.

概要

This skill empowers Claude to architect and implement comprehensive observability solutions using the OpenTelemetry (OTel) framework. It provides expert guidance on configuring the OTel Collector, establishing telemetry pipelines, and deploying them efficiently within Kubernetes clusters using Helm. Whether you are instrumenting new applications, troubleshooting existing infrastructure, or optimizing data processing with k8sattributes, this skill ensures best practices for vendor-neutral monitoring and performance analysis.

主な機能

Automated OTel Collector configuration for traces, metrics, and logs
Metadata enrichment with k8sattributes for granular pod and node monitoring
Telemetry pipeline optimization using processors like batch and memory_limiter
Kubernetes-native deployment strategies including DaemonSet, Sidecar, and Gateway modes
Built-in validation and troubleshooting commands for OTLP endpoints
0 GitHub stars

ユースケース

Setting up a centralized observability gateway in a production Kubernetes cluster
Troubleshooting missing telemetry data or misconfigured OTLP exporters
Scaling observability infrastructure with optimized resource limits and sampling

概要

主な機能

Automated OTel Collector configuration for traces, metrics, and logs
Metadata enrichment with k8sattributes for granular pod and node monitoring
Telemetry pipeline optimization using processors like batch and memory_limiter
Kubernetes-native deployment strategies including DaemonSet, Sidecar, and Gateway modes
Built-in validation and troubleshooting commands for OTLP endpoints
0 GitHub stars

ユースケース

Setting up a centralized observability gateway in a production Kubernetes cluster
Troubleshooting missing telemetry data or misconfigured OTLP exporters
Scaling observability infrastructure with optimized resource limits and sampling