service-mesh

A service mesh automatically implements mTLS to secure microservices communication without requiring application code changes. This ensures reliable interactions between services in Kubernetes environments.

The best way to prevent retry storms is to implement retry policies with budgets. A service mesh manages these policies to prevent cascading failures and DDoS attacks during microservice communication.

You can achieve distributed tracing by deploying a service mesh. It provides observability features like golden signals and tracing automatically, capturing microservice communication data without code modifications.

You need a service mesh when your microservices architecture grows to dozens of services requiring managed communication. It becomes essential for enforcing security, reliability, and observability at scale.

Yes, a service mesh supports progressive delivery patterns including canary and blue-green deployments. It manages traffic routing to help you safely roll out new microservice versions.