What metrics are covered in the dashboards?

It focuses on the 'Golden Signals': Latency (P50/P99), Traffic (RPS), Errors (5xx rates), and Saturation (resource utilization).

Does this skill support both Istio and Linkerd?

Yes, it includes specific configuration templates and CLI commands for both Istio (using Kiali/Jaeger) and Linkerd (using Linkerd Viz).

How does this help with debugging latency?

It provides P99 latency queries and distributed tracing configurations to help you identify exactly which hop in your microservice architecture is causing delays.

Can I integrate this with OpenTelemetry?

Yes, the skill includes templates for the OpenTelemetry Collector and Telemetry v2 API to unify mesh data with your existing OTel pipeline.

Service Mesh Observability

Name: Service Mesh Observability
Author: 3commas-io

by3commas-io

Analytics & Monitoring

Implements comprehensive monitoring, distributed tracing, and visualization for Istio and Linkerd service mesh environments.

About

This skill provides a standardized framework for implementing the three pillars of observability—metrics, traces, and logs—within service mesh architectures. It offers production-ready templates for Prometheus, Grafana, Jaeger, and Kiali, enabling developers to visualize service dependencies, debug complex latency issues, and monitor the 'Golden Signals' of microservices. Whether you are migrating to Istio, optimizing Linkerd, or integrating OpenTelemetry, this skill provides the configuration patterns and alerting rules necessary to maintain reliable service-to-service communication.

Key Features

OpenTelemetry (OTel) integration for mesh telemetry
Prometheus metrics and Grafana dashboard templates
Distributed tracing configuration with Jaeger and Zipkin
Service dependency visualization using Kiali and Linkerd Viz
Comprehensive Istio and Linkerd observability patterns
0 GitHub stars

Use Cases

Setting up full-stack monitoring for a new Kubernetes service mesh deployment
Defining and alerting on SLOs for microservice communication
Debugging cross-service latency and 5xx error spikes in production

About

Key Features

OpenTelemetry (OTel) integration for mesh telemetry
Prometheus metrics and Grafana dashboard templates
Distributed tracing configuration with Jaeger and Zipkin
Service dependency visualization using Kiali and Linkerd Viz
Comprehensive Istio and Linkerd observability patterns
0 GitHub stars

Use Cases

Setting up full-stack monitoring for a new Kubernetes service mesh deployment
Defining and alerting on SLOs for microservice communication
Debugging cross-service latency and 5xx error spikes in production