Ship faster with full visibility into your service mesh. Trace every request across 40+ cloud regions with sub-millisecond overhead.
Context propagation adds less than 0.3ms per hop. Our lightweight sidecar integrates natively with Envoy, Linkerd, and Istio proxies without impacting your P99 latencies. Full W3C Trace Context and B3 header support out of the box.
Drop-in OTLP receiver with automatic service mesh discovery. Accepts gRPC and HTTP/protobuf protocols. Tail-based sampling reduces storage costs by up to 90% while retaining every error and high-latency trace. No vendor lock-in.
ML-powered baselining detects latency spikes, error rate changes, and topology shifts without manual threshold configuration. Adaptive algorithms learn your service behavior and surface only actionable alerts to your on-call team.
Install the Mesh-Trace collector into any Kubernetes cluster with a single Helm chart. Automatic sidecar injection via mutating webhook. Supports GKE, EKS, AKS, and self-managed clusters.
Aggregate traces across multiple clusters with a single pane of glass. Cross-cluster trace stitching resolves service dependencies even when requests traverse cluster boundaries via external load balancers.
The collector automatically adjusts sampling rates based on available CPU and memory. DaemonSet deployment ensures consistent trace capture without competing for node resources during traffic spikes.
Start with a 14-day free trial. No credit card required.