Networking &
Service Mesh
We wire your services together so traffic is secure, observable, and resilient by default. From VPCs and ingress gateways to a full Istio mesh, connectivity becomes a platform capability instead of code scattered across every service.
Stop Rewriting The Network In Every Service.
Every service reimplements retries, TLS, and timeouts. Connections sprawl into an N-squared mess, and one team's bug becomes everyone's outage.
A sidecar proxy rides beside each service and takes over the network. Policy is set once, centrally, and applied to every request without touching application code.
North-South And East-West, One Fabric.
We design the whole path a request takes: through the edge and ingress gateway into the cluster, sideways between your services, and safely back out through controlled egress.
North-South traffic
Everything entering and leaving the cluster. Ingress gateways terminate TLS, enforce auth, and rate-limit; egress gateways control exactly which external endpoints your services can reach.
East-West traffic
Service-to-service calls inside the mesh. Sidecars handle discovery, load balancing, mTLS, and routing, so internal traffic is encrypted and shaped without app changes.
Three Jobs, Handled Off Your Code.
Connect
Intelligent traffic control so requests always find a healthy instance on the shortest path.
- Service discovery & client-side load balancing
- Ingress & egress gateway configuration
- Weighted, header, and path-based routing
- Locality-aware and failover routing
Secure
Zero-trust between services. Identity, encryption, and policy enforced at every hop.
- Automatic mutual TLS with rotating certs
- SPIFFE workload identity
- Authorization policies per service & route
- Namespace and network segmentation
Observe
The mesh emits golden signals for free, turning your network into a live, queryable map.
- Latency, traffic, errors & saturation
- Distributed tracing across service hops
- Live service dependency graph
- Per-route metrics and access logs
Every Call Proves Who It Is.
No service trusts another by default. The mesh gives each workload a cryptographic identity and encrypts every hop, so a breach in one service cannot quietly talk to the rest of your estate.
Each sidecar sends its SPIFFE workload certificate.
Certs are checked against the mesh CA, session keys negotiated.
All traffic is now mutually authenticated and encrypted.
The request is matched against per-service allow policies.
Failure Is Contained, Not Forwarded.
Timeouts
Every hop gets a deadline, so a single slow dependency can never hold the whole call chain hostage.
timeout: 2sRetries & Budgets
Transient failures are retried automatically, capped by a budget so retries never amplify into a storm.
retries: 3 · budget 20%Circuit Breaking
When an upstream starts failing, the breaker trips and fails fast, giving the service room to recover.
5xx > 50% → openOutlier Ejection
Unhealthy instances are pulled from the load-balancing pool automatically and probed back in when well.
eject after 5 errorsVendor-Neutral, Right Tool Per Layer.
We stay independent and pick the right tool at each layer, from the control plane to the proxies, edge, and observability.
The Route From Tangle To Fabric.
Four hops, every one owned end to end. This is how a Plaxonic engagement gets your network from scattered and brittle to a single, governed fabric.
We start from your real traffic
Before touching config, we capture your actual call graph and dependencies, so the mesh reflects how your services really talk, not a reference diagram.
Incremental rollout, low overhead
We onboard namespace by namespace with tuned sidecars, using ambient or per-pod modes where each fits, so you get the mesh without a latency tax or a big-bang cutover.
Security you can actually prove
mTLS and authorization policies ship as version-controlled code with audit trails, so compliance sees exactly who can talk to whom, and why.
Your team owns it after us
Runbooks, dashboards, and policy-as-code are documented and handed over, so your engineers extend the mesh confidently long after we roll off.
Frequently Asked Questions.
It depends on scale. A handful of services rarely need a full mesh, and we will tell you so. Once you have many services making internal calls and you need consistent mTLS, traffic control, and observability across all of them, a mesh stops that logic from being copy-pasted into every service. We help you decide honestly, and start lean if a full mesh is premature.
Make Your Network A Platform Capability
Tell us how your services talk today. We will map the traffic, design the mesh, and roll it out without downtime, so connectivity stops being everyone's side project.