Case 22
Zero Trust Service Mesh
Zero Trust Service Mesh: Problem: Internal traffic is often trusted by default, making lateral movement and policy gaps hard to see. Constraints: Service identity, mTLS, policy rollout, observability, latency overhead, and developer debugging. Architecture: Service mesh model with workload identity, mTLS, authorization policy, traffic telemetry, and progressive rollout controls. Result: East-west traffic becomes governed, observable, and easier to reason about during security reviews and incidents.
- Problem
- Internal traffic is often trusted by default, making lateral movement and policy gaps hard to see.
- Constraints
- Service identity, mTLS, policy rollout, observability, latency overhead, and developer debugging.
- Architecture
- Service mesh model with workload identity, mTLS, authorization policy, traffic telemetry, and progressive rollout controls.
- Result
- East-west traffic becomes governed, observable, and easier to reason about during security reviews and incidents.
Related topics: AI infrastructure, Kubernetes/EKS, GitOps, Terraform, observability, platform engineering, cloud architecture.