service-mesh-implementation
Implement service mesh (Istio, Linkerd) for service-to-service communication, traffic management, security, and observability.
By aj-geddes · 408 installs
npx skills add aj-geddes/useful-ai-prompts --skill service-mesh-implementation
Source repository · Upstream listing
Service Mesh Implementation
Table of Contents
[Overview]( overview)
[When to Use]( when to use)
[Quick Start]( quick start)
[Reference Guides]( reference guides)
[Best Practices]( best practices)
Overview
Deploy and configure a service mesh to manage microservice communication, enable advanced traffic management, implement security policies, and provide comprehensive observability across distributed systems.
When to Use
Microservice communication management
Cross cutting security policies
Traffic splitting and canary deployments
Service to service authentication
Request routing and retries
Distributed tracing integration
Circuit breaker patterns
Mutual TLS between services
Quick Start
Minimal working example:
Reference Guides
Detailed implementations in the references/ directory:
Guide Contents
[Istio Core Setup](references/istio core setup.md) Istio Core Setup
[Virtual Service and Destination Rule](references/virtual service and destination rule.md) Virtual Service and Destination Rule
[Security Policies](references/security policies.md) Security Policies
[Observability Configuration](references/observability configuration.md) Observability Configuration
[Service Mesh Deployment Script](references/service mesh deployment script.md) Service Mesh Deployment Script
Best Practices
✅ DO
Enable mTLS for all workloads
Implement proper authorization policies
Use virtual services for traffic management
Enable distributed tracing
Monitor resource usage (CPU, memory)
Use appropriate sampling rates for tracing
Implement circuit breakers
Use namespace isolation
❌ DON'T
Disable mTLS in production
Allow permissive traffic policies
Ignore observability setup
Deploy without resource requests/limits
Skip sidecar injection validation
Use 100% sampling in high traffic systems
Mix service versions without proper routing
Neglect authorization policies