What Is a Service Mesh? Microservice Networking Guide
Is communication between your microservices getting complex? Adding retry, timeout, and circuit breaker logic to every service? Service Mesh extracts this infrastructure into a dedicated network layer.
What Is a Service Mesh?
A service mesh is an infrastructure layer that manages network communication between microservices. It adds a sidecar proxy next to each service, providing traffic management, security, and observability without touching business logic.
Without mesh: Service A ──(retry, timeout, TLS code)──→ Service B
With mesh: Service A → [Envoy] ──→ [Envoy] → Service B
(automatic retry, mTLS)
Key Components
Data Plane
Sidecar proxies (usually Envoy) intercept all network traffic.
Control Plane
Central management (Istiod) that configures and coordinates proxies.
Istio Traffic Management
Canary Deployment
http:
- route:
- destination: { host: my-app, subset: v1 }
weight: 90
- destination: { host: my-app, subset: v2 }
weight: 10
Retry & Timeout
retries:
attempts: 3
perTryTimeout: 2s
timeout: 10s
Circuit Breaker
outlierDetection:
consecutive5xxErrors: 5
interval: 30s
baseEjectionTime: 60s
mTLS
Service mesh automatically encrypts all service-to-service traffic with mutual TLS. Certificate generation, distribution, and rotation are automatic.
Service Mesh Tools
| Tool | Proxy | Highlights | |------|-------|-----------| | Istio | Envoy | Most popular, feature-rich | | Linkerd | Rust proxy | Lightweight, simple | | Consul Connect | Envoy | Multi-platform |
When to Use
✅ 10+ microservices | ✅ mTLS required | ✅ Canary deployments | ✅ Distributed tracing
❌ Few services (<5) | ❌ Monolithic architecture | ❌ Resource-constrained
Best Practices
- Adopt gradually — Start with observability, then traffic management
- Set sidecar resource limits — Each proxy consumes CPU/RAM
- Enforce mTLS — Use STRICT mode
- Integrate tracing — Jaeger/Zipkin for distributed tracing
Conclusion
Service mesh abstracts network complexity in microservice architectures, centralizing security, traffic management, and observability. But it adds complexity and resource cost — make sure you truly need it.
Learn service mesh and microservice architecture on LabLudus.