Distributed Tracing Without Any Code
Get complete end-to-end distributed traces without modifying your code. Automatic correlation across all services, languages, and protocols using revolutionary eBPF technology. See every request, every time.
Revolutionary Tracing Technology
The first and only distributed tracing solution that requires zero code changes
Zero-Code Instrumentation
Get complete distributed traces without adding a single line of code or SDK to your applications
Automatic Trace Correlation
Traces are automatically correlated across services using kernel-level connection tracking
End-to-End Visibility
Follow requests from frontend to backend, through databases, caches, and message queues
Works With Encryption
Trace encrypted traffic (HTTPS, gRPC-TLS) without decryption or certificate access
Anomaly Detection
Automatically detect slow spans, errors, and unusual patterns in trace data
Real-Time Streaming
See traces in real-time with sub-millisecond latency from capture to visualization
See Every Request End-to-End
Complete Request Journey
Total Request Time: 238ms
All captured automatically without any instrumentation
The Magic of eBPF Tracing
Traditional Tracing (Complex)
- ✗Add tracing SDK to every service
- ✗Manually instrument code with spans
- ✗Propagate trace context in headers
- ✗Maintain instrumentation as code evolves
HyperObserve eBPF Tracing (Simple)
- ✓Deploy HyperObserve once per host
- ✓Automatic trace capture at kernel level
- ✓No code changes or SDKs needed
- ✓Works with any language or framework
How Kernel-Level Tracing Works
// eBPF program captures all network events
SEC("kprobe/tcp_sendmsg")
int trace_tcp_send(struct pt_regs *ctx) {
// Extract connection info
struct sock *sk = (struct sock *)PT_REGS_PARM1(ctx);
// Correlate with existing traces
u64 trace_id = generate_or_continue_trace(sk);
// Record span data
record_span(trace_id, timestamp, latency);
return 0;
}Every network call is automatically captured and correlated into traces
Tracing Use Cases
Performance Optimization
- • Identify slow services and endpoints
- • Find database query bottlenecks
- • Optimize API call patterns
- • Reduce unnecessary service hops
Error Diagnosis
- • Track error propagation paths
- • Find root cause of failures
- • Identify retry storms
- • Debug timeout issues
Architecture Understanding
- • Discover service dependencies
- • Map data flow paths
- • Identify unused services
- • Plan microservice decomposition
Compliance & Security
- • Audit data access patterns
- • Track PII data flow
- • Monitor external API calls
- • Verify service isolation
What We Trace
Start Tracing Without Writing Any Code
Deploy once. Trace everything. No instrumentation required.