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Kernel-wide Insight

Leveraging BPF to deliver full-stack observability and deep performance insights into memory, scheduling, networking, and block I/O, with 1% overhead.

Instant Observability

Event-driven context snapshot with instrumentation across kernel slow paths. Automatic reports for system-wide events, including scheduling, networking, and interrupts.

AutoTracing

Pinpoint performance degradation in cloud-native environments with tracing-based intelligence. Automated tracing for CPU idle drops, I/O latency, and Loadavg spikes.

Continuous Profiling

Continuous profiling of OS kernel and multi-language (e.g. Java, Python, Go, C/C++.) applications across CPU, memory, I/O, and Lock. Driving business innovation.

Distributed Tracing

Network-centric, service‑oriented request tracing across distributed systems. Delivers end‑to‑end visibility of microservice, ensuring system stability in large‑scale environments.

Ecosystem Integration

Integrate open‑source observability stacks. Support bare‑metal and cloud‑native deployments. Aware of K8s containers / labels / annotations. Support mainstream Linux distributions.

Best Practice

Blog

Block Device I/O Latency

2026-05-05 HAO022

The block I/O latency detection provided by HUATUO addresses the Linux cgroup, and hardware level …

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RDMA: Doorbell, UAR

2026-04-14 HAO022

The UAR memory layout, allocation, mapping, and the user-mode and kernel-mode implementations.

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RDMA: Memory Window

2026-04-09 HAO022

Analyzing Memory Window user-space, kernel, and underlying hardware implementation, design …

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RDMA: Queue Pairs

2026-04-08 HAO022

Analyzing Queue Pairs user-space, kernel, and underlying hardware implementation, design …

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Ecosystem

Huatuo Ecosystem

Users

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