CodeMosa

Master LeetCode Patterns

Service Mesh

Architecture & Deployment

Infrastructure layer for service-to-service communication via sidecars

Core Idea

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Delegate mTLS, retries, timeouts, circuit breaking, traffic shaping, and telemetry to a data-plane proxy with a centralized control plane.

When to Use

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When you have many services requiring uniform policies, mTLS, and advanced L7 routing with rich observability.

Recognition Cues

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Indicators that this pattern might be the right solution
  • Inconsistent networking policies across services
  • Desire for zero-trust mTLS and authZ
  • Complex traffic policies (canary, mirroring, locality)

Pattern Variants & Approaches

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Overview

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Sidecar proxies handle mTLS, retries, and telemetry; a control plane distributes policy and certs.

Overview Architecture

localhostmTLSlocalhostPolicy/CertsPolicy/Certs⚙️Service A⚙️Sidecar A⚙️Sidecar B⚙️Service B⚖️Control Plane

When to Use This Variant

  • Uniform networking/security
  • Advanced L7 traffic control
  • Zero-trust requirements

Use Case

Large fleets of microservices needing consistent traffic policy and observability.

Advantages

  • Consistent policy
  • Powerful traffic features
  • Built-in telemetry

Implementation Example

# Mesh high-level
svcA <-> sidecarA ==mTLS== sidecarB <-> svcB
control-plane -> sidecars (policy, certs)

Tradeoffs

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Pros

  • Uniform networking and security policies
  • Powerful traffic shaping and resiliency
  • Built-in telemetry and tracing context

Cons

  • Latency/resource tax per hop
  • Steep operational learning curve
  • Not needed for simple architectures

Common Pitfalls

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  • Increased latency and resource overhead
  • Operational complexity and upgrade burden
  • Overlapping responsibilities with gateways
  • Misconfigured retries causing amplification

Design Considerations

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  • Incremental rollout and opt-out for simple paths
  • Policy-as-code and versioned traffic rules
  • Golden signals before/after rollout
  • Budget sidecar CPU/memory and tune pools
  • mTLS identity, cert rotation, and revocation

Real-World Examples

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Istio

mTLS, traffic policy, telemetry via Envoy

Large K8s clusters
Linkerd

Lightweight, secure service mesh

Latency-sensitive services
Consul

Mesh + service discovery across platforms

Hybrid/multi-cloud

Complexity Analysis

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Scalability

Per-pod sidecars; centralized control plane

Implementation Complexity

High - Mesh operations and policy

Cost

Medium to High - Resource overhead