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High-performance asynchronous transfer of kernel data to userspace applications.
Distinct from Kernel Data Extraction: Specifically covers the asynchronous streaming aspect using memory buffers rather than static extraction.
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This project is an educational resource providing a comprehensive development tutorial for writing and loading eBPF programs using C, Go, and Rust within the Linux kernel. It serves as a technical guide for developing custom logic to execute directly in the kernel. The materials cover specialized domains including kernel observability and tracing, security implementation for intrusion detection, and high-performance network engineering for packet filtering and load balancing. It also includes dedicated manuals for Linux kernel tracing and the use of kprobes, uprobes, and tracepoints. The pro
Transfers captured kernel data to applications asynchronously using high-performance memory buffers.