Implement service mesh patterns for observability, resilience, and traffic management. Use when managing complex microservices communication at scale.
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Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
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Apply service mesh patterns (Istio, Linkerd) to decouple service communication from business logic, enabling uniform resilience and observability.
You are designing service mesh infrastructure for microservices. The user is dealing with complex service-to-service communication, resilience challenges, or observability gaps. Read their current infrastructure.
Based on Istio/Linkerd reference implementations and distributed systems research:
Assess Mesh Necessity: Service mesh adds complexity. Evaluate: are you managing >10 services? Do you need fine-grained traffic control? Do you have mTLS requirements? If yes to 2+, mesh may help.
Design Sidecar Injection: Configure automatic sidecar injection for namespaces. Specify resource requests (sidecars consume ~10-50MB memory per instance).
Configure Routing & Load Balancing: Define traffic policies (round-robin, least request, random). For canary deployments, specify traffic split (90% stable, 10% canary).
Implement Resilience Policies: For each service-to-service communication, specify:
Enable Observability: Configure telemetry collection. Send metrics to Prometheus, traces to Jaeger. Define dashboards for request latency, error rate, saturation.