Service Mesh
The service mesh has produced more regretted architecture than almost any technology of the Kubernetes era — not because it doesn't work, but because it was installed by teams who wanted the diagram more than they needed the capabilities. Mesh is the right answer to specific questions: encrypt everything service-to-service, control traffic precisely enough for canary releases, prove to an auditor who can talk to what.
If those are your questions, we deploy mesh properly — Istio configured for your actual policies, ambient mode where sidecar overhead isn't worth paying, mTLS with identity that satisfies zero-trust review, and progressive delivery wired to your rollouts. And if you inherited a mesh nobody understands, we're equally happy to simplify or remove it. The goal is capabilities, not components.
Zero-trust mTLS
Every service-to-service call encrypted and identity-verified — the audit answer for east-west traffic.
Traffic management
Canary releases, mirroring, and fault injection — deployment risk shrunk to a percentage you choose.
Mesh right-sizing
Istio or ambient mesh where it earns its overhead; simpler alternatives where it doesn't.
Mesh rescue
Inherited mesh debugged, documented, and simplified — or cleanly removed.
Authorization policy
Service-level access control as declarative policy, versioned and reviewable.
Do we actually need a service mesh?
Only if you need its specific capabilities: pervasive mTLS for compliance, fine-grained traffic control, or service-level authorization at scale. Below a few dozen services, network policies and a good ingress usually suffice — and we'll happily save you the operational overhead by saying so.
Our mesh causes more incidents than it prevents. Options?
Three: fix the configuration (most meshes fail from misconfiguration, not concept), migrate to ambient mode to shed sidecar complexity, or remove it in favor of simpler primitives. We've done all three — the right one depends on which capabilities you actually use.
Does mesh matter for AI workloads?
Where agents multiply service-to-service calls, yes: mTLS covers the new east-west traffic, authorization policies constrain which services an agent runtime can reach, and traffic mirroring lets you shadow-test a new agent version on real traffic with zero user exposure.
Put Service Mesh to work — in production.
One forward-deployed engineer, embedded in your stack, owning the outcome from discovery to production. Weeks, not quarters.
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