Kiali is an observability and management console for Istio service meshes, providing developers and operators with deep insights into microservice behavior and traffic flow. It enhances operational visibility by offering a centralized view of services, dependencies, and mesh status, aiding in troubleshooting complex architectures.

How It Works

Kiali visualizes and analyzes Istio service mesh telemetry. A key feature is its developer preview Chat AI integration, supporting providers like OpenAI and Gemini with configurable models and an AI store for context retention. The Kiali server is also instrumented with OpenTelemetry tracing for performance monitoring and issue surfacing.

Quick Start & Requirements

• Primary install/run commands: make build-ui, make build, make run-backend, make run-frontend, make cluster-push, make operator-create, make kiali-create.
• Non-default prerequisites: Go (specific version from Makefile), Git, GCC, Docker/Podman, Node.js (>= 20), Yarn, Make. Requires a Kubernetes cluster with Istio installed.
• Links: Official documentation is available at kiali.io/docs, installation guides at kiali.io/installation, and contribution details at ./CONTRIBUTING.md. Development setup scripts are located in the hack/ directory.

Highlighted Details

• AI Documentation (Dev Preview): Features an evolving AI-powered chat interface for querying mesh status, with support for multiple providers and advanced configuration.
• OpenTelemetry Tracing: