API Gateways and Service Mesh in Microservices In modern software, teams split applications into multiple services. API gateways and service meshes help manage this complexity. The gateway acts as the door to the outside world, while the mesh watches over internal service calls. Together, they improve security, reliability, and visibility.
What an API gateway does Routes external requests to the right service Terminate TLS and perform authentication Apply rate limits, caching, and simple transformations Support API versioning and client-facing policies What a service mesh does Manages service-to-service communication with mTLS Provides retries, timeouts, and load balancing Offers observability: metrics, traces, and logs Enforces policies and enables traffic control (canary, A/B) How they fit together The gateway handles north-south traffic (clients outside the cluster) The mesh handles east-west traffic (services inside) Many platforms offer an ingress gateway that can also expose some mesh features In Kubernetes, you often combine an Ingress controller with a service mesh like Istio or Linkerd Practical patterns Separate concerns: gateway at the edge, mesh inside the cluster Use mutual TLS across services for strong security Use the gateway for rate limits, API keys, and basic auth Rely on the mesh for resilience: retries, timeouts, and load balancing Set up good observability: traces, dashboards, and alerts A simple example An external client calls /api/v1/orders. The API gateway routes this to the orders service. Inside the cluster, the orders service talks to inventory and payment services through the service mesh, which handles mTLS, retries, and tracing. This keeps external contracts stable while internal calls stay resilient.
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