Circuit Breaker and Resilience Patterns#

In a microservice architecture, any downstream dependency can fail. Without resilience patterns, a single slow or failing service cascades into total system failure. Resilience patterns prevent this by failing fast, isolating failures, and recovering gracefully.

Circuit Breaker#

The circuit breaker pattern monitors calls to a downstream service and stops making calls when failures reach a threshold. It has three states.

States#

Closed (normal operation): All requests pass through. The circuit breaker counts failures. When failures exceed the threshold within a time window, the breaker trips to Open.

Istio Security#

Istio provides three security capabilities that are difficult to implement without a service mesh: automatic mutual TLS between services, fine-grained authorization policies, and egress traffic control. These features work at the infrastructure layer, meaning applications do not need any code changes.

Automatic mTLS with PeerAuthentication#

Istio’s sidecar proxies can automatically encrypt all pod-to-pod traffic with mutual TLS. The key resource is PeerAuthentication. There are three modes:

• PERMISSIVE – Accepts both plaintext and mTLS traffic. This is the default and exists for migration. Do not leave it in production.
• STRICT – Requires mTLS for all traffic. Plaintext connections are rejected.
• DISABLE – Turns off mTLS entirely.

Enable strict mTLS across the entire mesh:

Istio Service Mesh#

Istio adds a proxy sidecar (Envoy) to every pod in the mesh. These proxies handle traffic routing, mutual TLS, retries, circuit breaking, and telemetry without changing application code. The control plane (istiod) pushes configuration to all sidecars.

When You Actually Need a Service Mesh#

You need Istio when you have multiple services requiring mTLS, fine-grained traffic control (canary releases, fault injection), or consistent observability across service-to-service communication. If you have fewer than five services, standard Kubernetes Services and NetworkPolicies are sufficient. A service mesh adds operational complexity – more moving parts, higher memory usage per sidecar, and a learning curve for proxy-level debugging.

Service-to-Service Authentication and Authorization#

In a microservice architecture, services communicate over the network. Without authentication, any process that can reach a service can call it. Without authorization, any authenticated caller can do anything. Zero-trust networking assumes the internal network is hostile and requires every service-to-service call to be authenticated, authorized, and encrypted.

Mutual TLS (mTLS)#

Standard TLS has the client verify the server’s identity. Mutual TLS adds the reverse – the server also verifies the client’s identity. Both sides present certificates. This provides three things: encryption in transit, server authentication, and client authentication.

Choosing a Service Mesh#

A service mesh moves networking concerns – mutual TLS, traffic routing, retries, circuit breaking, observability – out of application code and into the infrastructure layer. Every pod gets a proxy that handles these concerns transparently. The control plane configures all proxies across the cluster.

The decision is not just “which mesh” but “do you need one at all.”

Do You Actually Need a Service Mesh?#

Many teams adopt a mesh prematurely. Before evaluating options, identify which specific problems you are trying to solve: