ANNOUNCING eBPF AUTO-TRACING V4.0 // ZERO APM AGENT OVERHEAD

Instant Kernel Telemetry.
Zero Code Modifications.

Synapse injects non-invasive eBPF probes directly into the Linux kernel to trace microservice requests, map dynamic service meshes, and isolate bottleneck culprits in under 3 seconds.

Deploy Helm Operator → Explore Kernel eBPF Architecture

☸️ K8s Cluster: prod-us-east-1 // 124 Microservices Monitored eBPF Kernel Active

Zero SDK Injection · CPU Overhead: 0.6% · Ringbuffer: 0 Drops

TRACE RATE: 4.2M / SEC

Throughput

48.2k req/s

↑ Zero drop rate

P99 Tail Latency

42 ms

SLA target <100ms

Error Rate

0.004 %

99.996% Healthy

MTTR Reduction

74% Faster

Root-Cause Convergence <30s

Live Distributed Request Span Trace Trace ID: #90f-21a

1. ingress-gateway (HTTP 200) 4ms (eBPF socket capture)

2. auth-service → redis-session 1.2ms (Zero cache miss)

3. checkout-worker → postgres-cluster 18ms (Index scan optimized)

CPU Overhead

<0.8%

Kernel-level non-blocking

Trace Throughput

4.2M / sec

↑ Zero drop rate

MTTR Reduction

74% Faster

Automated causal graph

Service Mesh Support

Universal

Istio, Linkerd, Cilium

Engine Architecture

Full-Stack Cloud Visibility

Replace cumbersome SDK wrappers and slow runtime profilers with unified eBPF kernel telemetry.

Live Service Topology

Automatically maps every pod, ingress controller, gRPC stream, and database socket connection across your Kubernetes clusters without deploying code changes.

Node Discovery: <100ms Convergence

P99 Latency Deconstruction

Isolates whether tail latency spikes originate in application runtime garbage collection, unindexed SQL queries, TCP window congestion, or DNS lookups.

Resolution: Nanosecond Accurate

Predictive Root-Cause Remediation

Neural incident analyzer traces cascading microservice failures back to the originating root cause and can trigger automated pod recycling or circuit breaking.

Auto-Remediation: Configurable Policy Engine

ONE-COMMAND INSTALLATION

Total Observability in 60 Seconds.

Install the Synapse DaemonSet via Helm or kubectl. Watch your entire multi-cluster Kubernetes topology render immediately.