AI TOOL PROFILE
Kiali: Istio Service Mesh Console
- Software Development
- Observability Platform
- Software Companies
- Enterprise Companies
- Platform Engineering Teams
- SREs managing Istio
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though enterprise support is noted as available through Red Hat.
At a glance
- Best for
- Software Companies, Enterprise Companies, Platform Engineering Teams, SREs managing Istio
- Key use cases
- Service Communication Mapping, Mesh Troubleshooting, Traffic Routing Configuration, Security Policy Implementation
- Integrations
- Prometheus, Grafana, Jaeger, Grafana Tempo, Backstage
- Official website
- Visit kiali operator official website
How AI is used
Kiali serves as a visual layer for the Istio service mesh, allowing users to monitor and configure their mesh infrastructure. It provides a way to see how services communicate in real time, which may help teams identify where traffic failures or latency issues are occurring.
The tool is designed for technical teams managing microservices. It supports observability tasks such as monitoring the health of pods and request traffic, as well as inspecting logs and metrics for specific workloads.
Beyond monitoring, Kiali includes wizards that support the generation of routing rules and security policies. It also includes AI-assisted interactions through a chatbot and Model Context Protocol (MCP) integrations.
Buyers should confirm they are using an Istio-based mesh, as Kiali is built as an add-on for Istio and OpenShift Service Mesh. Users should also ensure they have Prometheus and Jaeger or Tempo configured for full functionality.
Key Features
Topology Visualization
Provides multiple graph types (workload, app, versioned app, and service) to visualize real time request traffic and service communication.
Health Monitoring
Uses a color-coded system to indicate the health of mesh infrastructure and application services based on pod status and traffic health.
Istio Application Wizards
Supports the creation and update of routing rules, fault injection, traffic shifting, and circuit breakers through guided interfaces.
Distributed Tracing Integration
Integrates with Jaeger and Grafana Tempo to provide trace visualizations and correlated views of logs and metrics.
Misconfiguration Detection
Includes validation tools designed to detect misconfigurations within the service mesh.
YAML Editing
Allows users to view and edit Istio custom resource YAML within the console.
AI Chatbot and MCP
Includes AI features via a Kiali Chatbot and Model Context Protocol integrations.
Use Cases
Service Communication Mapping
Using topology graphs to visualize how services interact and identify traffic patterns.
Mesh Troubleshooting
Identifying degraded or failing services using health indicators and correlating logs with distributed traces.
Traffic Routing Configuration
Using wizards to set up request routing, timeouts, and traffic shifting between different service versions.
Security Policy Implementation
Generating AuthorizationPolicy resources to secure communication between workloads based on observed traffic.
Integrations
- Prometheus
- Grafana
- Jaeger
- Grafana Tempo
- Backstage
FAQ
What is Kiali used for?
- Kiali is used to configure, visualize, validate, and troubleshoot an Istio service mesh, providing a visual interface for traffic and health monitoring.
Does Kiali include AI capabilities?
- Yes, Kiali includes AI features through a dedicated chatbot and Model Context Protocol (MCP) integrations.
What are the requirements to run Kiali?
- Kiali is designed as an add-on for Istio or OpenShift Service Mesh and typically requires Prometheus for metrics and Jaeger or Tempo for tracing.
Source category: Software Development
Source subcategory: Observability Platform
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