service-mesh-implementation

name	service-mesh-implementation
description	Implement service mesh (Istio, Linkerd) for service-to-service communication, traffic management, security, and observability.

Service Mesh Implementation

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• 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:

# istio-setup.yaml
apiVersion: v1
kind: Namespace
metadata:
  name: istio-system
  labels:
    istio-injection: enabled

---
apiVersion: install.istio.io/v1alpha1
kind: IstioOperator
metadata:
  name: istio-config
  namespace: istio-system
spec:
  profile: production
  revision: "1-13"

  components:
    pilot:
      k8s:
        resources:
          requests:
            cpu: 500m
            memory: 2048Mi
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide	Contents
Istio Core Setup	Istio Core Setup
Virtual Service and Destination Rule	Virtual Service and Destination Rule
Security Policies	Security Policies
Observability Configuration	Observability Configuration
Service Mesh Deployment Script	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