Service Mesh Implementation
Table of Contents
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