Does this help with distributed tracing configuration?

Yes, it includes ready-to-use templates for Jaeger and OpenTelemetry integration to help you trace requests across your entire service mesh.

Is this skill useful for debugging network bottlenecks?

Yes, it offers specialized tools for visualizing service dependencies and inspecting live traffic via Linkerd Viz and Kiali to identify bottlenecks.

What service meshes are supported by this skill?

This skill provides patterns and templates specifically for Istio and Linkerd, including support for OpenTelemetry and Kiali.

Can I use this for real-time monitoring and dashboards?

Absolutely. It provides specific Prometheus queries and Grafana dashboard JSON configurations for monitoring request rates, error rates, and P99 latency.

Service Mesh Observability

Name: Service Mesh Observability
Author: drgaciw

bydrgaciw

Analytics & Monitoring

Implements comprehensive observability for service meshes using distributed tracing, metrics, and visualization patterns for Istio and Linkerd.

About

This skill provides a complete framework for monitoring and debugging service mesh deployments. It offers standardized patterns for implementing the three pillars of observability—metrics, traces, and logs—specifically tailored for Istio and Linkerd environments. By utilizing pre-defined templates for Prometheus, Grafana, Jaeger, and Kiali, it helps developers visualize service dependencies, troubleshoot latency issues, define Service Level Objectives (SLOs), and manage the 'Golden Signals' of mesh communication to ensure high reliability in complex microservice architectures.

Key Features

Distributed tracing configuration for Istio and Linkerd
Comprehensive alerting rules for service communication health
Pre-configured Prometheus and Grafana monitoring templates
0 GitHub stars
Service dependency visualization with Kiali and Linkerd Viz
Automated service mesh metric queries for Golden Signals

Use Cases

Debugging microservice latency and connectivity issues
Visualizing complex service-to-service communication patterns
Implementing SLOs and Golden Signal monitoring for production traffic

About

Key Features

Distributed tracing configuration for Istio and Linkerd
Comprehensive alerting rules for service communication health
Pre-configured Prometheus and Grafana monitoring templates
0 GitHub stars
Service dependency visualization with Kiali and Linkerd Viz
Automated service mesh metric queries for Golden Signals

Use Cases

Debugging microservice latency and connectivity issues
Visualizing complex service-to-service communication patterns
Implementing SLOs and Golden Signal monitoring for production traffic