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How Istio Moves Networking Code Out of Microservices and Into Infrastructure

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Splitting a monolith into many microservices forces each service to carry repetitive networking code — such as TLS, retries, timeouts, and tracing — that is unrelated to core business logic. Maintaining this through shared SDKs becomes unsustainable when multiple programming languages are involved, as each language requires its own SDK that can drift in behavior over time. A service mesh like Istio addresses this by shifting all such concerns into the infrastructure layer, automating certificate management, enforcing retry policies via YAML, and providing built-in observability through tools like Prometheus and Jaeger. However, the approach carries real trade-offs, including approximately 60MB and 0.2 vCPU overhead per sidecar and measurably higher latency compared to ambient mode. The article argues that a service mesh is best suited for multi-language environments with mature operational teams, and provides a decision framework for cases where it may not be appropriate.

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