See What Your Kernel Sees.
Next-gen eBPF Observability with < 1% overhead.
Why K-Reflex?
The Problem
Your application says "Network Slow", but your network team says "I'm fine". Standard observability tools like TCPDump and APM miss the invisible culprit: Kernel Write Latency.
When your application calls send(), the data doesn't magically appear on the wire. It first sits in the kernel's TCP send buffer. If that buffer is full or the kernel is under pressure, your application blocks—even though the network itself is healthy.
The Solution
K-Reflex uses eBPF to monitor the kernel's network stack directly, detecting these "invisible stalls" that happen between your application and the network. It bridges the observability gap by exposing what happens inside the kernel buffer.
Performance Metrics
Zero Copy
Perf event arrays enable direct kernel-to-userspace data transfer without memory copies. Events flow seamlessly via ring buffers.
Safe Execution
Production-grade safety: LRU maps prevent memory leaks, rate limiting caps CPU usage at 5,000 events/sec. Never crashes your node.
Real-time Metrics
Prometheus-native metrics with intelligent label sanitization. Low-cardinality by default, high-cardinality optional.
Architecture
User Space
Kernel Space
kretprobe/tcp_sendmsg
ARRAY (rate_limit)
Live Demo
Prometheus Metrics
Deep Kernel Tracing
Kprobes hook directly into kernel functions like tcp_v4_connect() and tcp_sendmsg(), providing function-level observability.
Efficient Data Sharing
LRU_HASH and ARRAY maps enable efficient kernel-user space communication with automatic memory eviction and bounded growth.
Stall Detection
Detects kernel write stalls >100µs, exposing invisible bottlenecks that occur between your application and the network stack.
Production Ready
Tested at millions of connections/second. CPU usage stays below 5% even under extreme load. Memory bounded to predictable limits.