Flow probe | 100 points urgently seeking a translation (to be translated by oneself, not those translation software that casually flip through and post... | Coriolis mass flow meter

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1. Easy to understand eBPF | 7 core issues you need to know

eBPF is a technology that can run sandbox programs in the kernel, providing a mechanism for securely injecting code when kernel and user program events occur, allowing non kernel developers to control the kernel as well. Its emergence solves the contradiction between slow kernel iteration and fast system requirement changes, and has the characteristics of safety, efficiency, standardization, and strong functionality. Its application scenarios include network optimization, fault diagnosis, security control, and performance monitoring. Here is a detailed introduction to the 7 core questions about eBPF

1. What is eBPF? Definition: eBPF is a technology that allows sandbox programs to run in the kernel, providing a mechanism for securely injecting code when kernel and user program events occur, allowing non kernel developers to control the kernel as well. Development history: In the early days, BPF was called Classic BPF (cBPF). With the development of the kernel, eBPF gradually expanded from packet filtering to network, kernel, security, tracking and other fields. Its functional features are still rapidly developing. Nowadays, BPF is called Extended BPF (eBPF). What are the application scenarios of eBPF? Network optimization for high performance: JIT compilers provide near kernel native code execution efficiency. Highly scalable: Within the context of the kernel, protocol parsing and routing strategies can be quickly added. Fault diagnosis eBPF combines both kernel and user tracing capabilities through kprobe and tracepoints tracing mechanisms, allowing for fast and end-to-end fault diagnosis. EBPF supports the efficient disclosure of statistical da

flow probe|coriolis mass flow meter
ta for profiling, without the need for a large amount of sampling data to be disclosed like traditional systems, making continuous real-time profiling possible. Security Control eBPF can view all system calls, network packets, and socket network operations, and integrate process context tracking, network operation level filtering, and system call filtering to provide better security control. Compared with conventional system monitoring components such as sar, performance monitoring can only provide static counters and gages. eBPF supports programmable dynamic collection and edge computing aggregation of customized indicators and events, greatly improving the efficiency and imagination of performance monitoring

3. Why does eBPF appear? Resolving conflicts: The emergence of eBPF is essentially aimed at resolving the contradiction between slow kernel iteration speed and rapidly changing system requirements. In the eBPF field, eBPF is similar to Javascript relative to HTML compared to Linux Kernel, with a focus on programmability. Security features: eBPF programs must be verified by validators before execution and cannot contain unreachable instructions; Cannot call kernel functions arbitrarily, only auxiliary functions defined in the API can be called; The maximum program stack space is only 512 bytes, and if you want larger storage, you must rely on mapping storage. Efficient: With the help of just in time compiler (JIT), and because eBPF instructions still run in the kernel, there is no need to copy data to user mode, greatly improving the efficiency of event processing. Standard: Provide standard interfaces and data models for developers to use through BPF Helpers, BTF, and PERF MAP. Powerful functionality: eBPF no

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