Month: 2026-03 — Performance-focused delivery across networking, I/O, and eBPF stack with parallel improvements in NIC optimization, runtime efficiency, and documentation. The month emphasizes tangible business value: higher network throughput under high traffic, reduced runtime overhead, lower latency, and safer deployment configurations.

Concise February 2026 monthly summary for deepflowio/deepflow. Focused on delivering reliable eBPF data processing improvements and kernel compatibility fixes with measurable business value and technical impact.

January 2026 — DeepFlow repository deepflowio/deepflow delivered a focused set of eBPF-driven data observability improvements, profiling robustness enhancements, and codebase hygiene changes that collectively improve performance, accuracy, and maintainability. Key outcomes include faster and more usable datadumps with filtering, more reliable kernel-space profiling, improved PostgreSQL protocol detection, and reduced repo noise from generated files.

December 2025: Delivered a focused set of eBPF-based observability enhancements for deepflow, emphasizing cross-version kernel compatibility, memory efficiency, log quality, TLS decryption readiness with modern OpenSSL versions, and configurable I/O event collection. The work reduces deployment friction, improves runtime performance, and strengthens detection fidelity across diverse Linux environments. Key outcomes include: - Broadening kernel compatibility for eBPF socket tracing to support multiple kernel offsets (e.g., 4.19.90 and Ubuntu 4.15.0), enabling customers across varied distros to deploy with minimal tuning. - Memory-efficiency improvements for eBPF perf buffers on large-page systems, recalibrating allocation to a fixed 4KB page size to cap memory usage across architectures. - Reduced log noise by suppressing exited-process warnings in the eBPF agent logs, improving operator signal-to-noise ratio. - TLS decryption extended to OpenSSL 3.2+ (including 3.2.4+), updating rbio and related SSL field handling to maintain compatibility with newer OpenSSL stacks. - Added a switch to toggle collection of virtual file system (VFS) I/O events, enabling more flexible monitoring controls. These changes collectively improve deployment flexibility, operational efficiency, and observability fidelity while maintaining strong compatibility with evolving Linux kernels and crypto libraries.

2025-11 Monthly Summary: Delivered key eBPF observability and compatibility enhancements for deepflow, expanding data visibility, multi-DNS capture, and robust data reassembly. Fixed kernel-edge reassembly issues on Linux 5.2+, and added static OpenSSL linking support for uprobe-based decryption. These efforts improved reliability, troubleshooting capabilities, and binary coverage of supported workloads.

Month 2025-10 achievements: Delivered targeted eBPF enhancements and cross-environment improvements to boost accuracy, reliability, and observability in production deployments. Key features delivered include: - Bind mount path accuracy improvements in eBPF file tracking: corrected file_dir resolution for bind mounts and clarified directory vs file mounts, reducing false positives in file event tracking. - eBPF Bind mount type observes based on the container: improved mount-type fidelity for containerized workloads. - Kernel compatibility and crash avoidance for eBPF agent on older kernels: fixed loading on Linux 4.14 by removing a redundant TLS check and prevented uprobes-triggered crashes by attaching uprobes via perf_event_open with early exit on failure. - eBPF enhancements for ARM and Rocky Linux environments: added a root-dir parameter for ARM static compilation; implemented a Rocky Linux 5.14 workaround by selecting compatible BPF binaries to avoid verifier limits. - eBPF support for Istio Envoy tracing: introduced a new function to start Envoy tracing with conditional integration based on config; improved symbol resolution for reliable tracing. - Ignore HTTP/1.x 1xx informational responses to improve HTTP merge reliability: exclude 1xx responses from processing to prevent merge failures of final responses. - Documentation updates and across-repo visibility: OpenSSL detection documentation clarified for statically linked libraries detection; Envoy HTTPS protocol parsing added to Universal Map; documentation improvements for Envoy tracing and kernel-observer workflows. Overall impact: Increased accuracy of file event tracking, stronger cross-distro compatibility (ARM/Rocky Linux), safer kernel interaction with uprobes on older kernels, and enhanced observability through Istio Envoy tracing and clearer OpenSSL detection guidance.

Monthly work summary for 2025-09 focusing on reliability, cross-namespace metrics, and performance improvements across deepflowio/deepflow and docs. Delivered major eBPF stability work, protocol detection enhancements, and symbol collection fixes, complemented by documentation clarity.

August 2025 update for deepflowio/deepflow: Delivered two EBPF-based improvements that enhance tracing performance and stability, with a clear impact on data fidelity and operational reliability. Key feature: added a toggle for eBPF fentry/fexit to optimize socket tracing performance (5–10% gain over kprobes). Major bug fix: resolved EBPF kfunc bytecode load failure by adjusting kernel function pointer reads, improving HTTP/2 parsing handling, and tightening eBPF loop limits; implemented additional system-call probes to boost stability. Together, these changes reduce runtime errors and enable more scalable tracing across environments. Core technologies: eBPF, kprobes, HTTP/2 parsing, system-call probing, feature flags. Commits referenced: 03107da6982304706ab87069fbfa6dee28b79c5d; e561195d945a319357d82393a916d93a5791337a.

July 2025: Deepflow (deepflowio/deepflow) delivered core feature improvements and reliability enhancements in the eBPF-backed data path, with cross-architecture readiness. Key features delivered: - Mount point discovery and file path resolution enhancements: integrated mount point cache and initial eBPF data, added a mount point discovery function, and refined path construction for root mounts to improve accuracy across different mount types. (Commits: 50395b3a08444898c26a732a6d9c5ec1e2b1f893; 2cc1168989a7edb8c11dcab0eaa017e300171b04; 123ce5cd52fac023f39072bd32321fbe38cfb1ef; e7ee5ac3a18628bdba92233e19eb0f0c7baee1b4) Major bugs fixed: - Robust eBPF loading and resource management: fixed resource leaks and improper cleanup during eBPF object loading; ensure correct release behavior on failures. (Commit: 86a6b9975f8cec73d58eb0050e3011667bdf01db) - Unix socket data handling and TCP sequence consistency: ensure tcp_seq is reset for data from Unix sockets to prevent misinterpretation of TCP sequence numbers. (Commit: bbf1374e55f6ebb05c38abfe7741501aafc8a54b) - Latency measurement robustness across kernel/time rollbacks: fix latency calculations to handle non-monotonic clocks by resetting latency to 0 or 50 microseconds in rollback scenarios, improving reliability across kernel versions. (Commits: 950af70363d3759e06f804652a890c7dfe681c70; e09e50c51dea929bda0ca1e57731a634e06f038f) - ARM compatibility for proc info updates: add a placeholder to address static compilation issues on ARM and ensure future logic hook readiness. (Commit: 141d857c9aab7aa2018cadc71342987a093d4732) Overall impact and accomplishments: - Significantly improved data-path accuracy and reliability with mount-point aware path resolution. - Reduced runtime leaks and improved stability during eBPF load failures. - Ensured correct interpretation of data from Unix sockets and robust performance timing across kernel versions. - Strengthened cross-architecture readiness (ARM) for future deployments. Technologies and skills demonstrated: - eBPF integration and data-path engineering, resource management, Unix socket handling, latency modeling under time rollback, and forward-compatibility for ARM builds.

June 2025 was focused on delivering robust protocol inference, enhanced network observability, reliability improvements, and deployment guidance for the DeepFlow agent in deepflowio/deepflow. Key work spanned multi-program eBPF protocol inference with kernel compatibility tweaks, richer close-event telemetry including Layer 7 protocol data and IPC visibility, and improved configuration resilience and deployment guidance. These changes reduce deployment risk across heterogeneous Linux environments, improve diagnostic capabilities for operators, and accelerate time-to-value for customers adopting eBPF-based packet capture with DPDK.

May 2025 monthly summary: Two-repo effort focused on strengthening observability, kernel compatibility, and reliability of tracing across varying kernel environments. Key features delivered include Pure Kprobe/Kretprobe tracing in the eBPF agent, HTTP/2 protocol inference robustness, queue ID propagation in Rust callbacks for eBPF tracing, and batch processing efficiency with a last-item flag, complemented by documentation updates clarifying kernel compatibility (KylinOS V10 SP2) and removal of kernel 4.9 support. Major bugs fixed include improved recvmmsg tracing stability across kernel versions by switching to a tracepoint-based probe; optimized container ID retrieval from cache by returning an int status code for error handling; preprocessing added to handle long argument lists when loading kfunc bytecode; and a kernel fentry/fexit compatibility safeguard that falls back to tracepoint-based hooks if the required runtime is missing, preventing kernel crashes. Overall impact: These changes increase tracing reliability and data fidelity, reduce runtime resource usage, and improve operational safety across deployment environments. Business value includes more stable monitoring, faster troubleshooting, and broader kernel compatibility, enabling deeper performance insights with less toil. Technologies/skills demonstrated: eBPF (Kprobe/Kretprobe, tracepoints, kfunc bytecode), Rust callback interfaces, kernel observability tooling, Makefile adjustments, and cross-repo documentation.

Concise month-end summary for 2025-04: Focused on delivering observable, cross-kernel eBPF data collection improvements across DeepFlow components, with emphasis on network visibility, data accuracy, and reliability. This period delivered multiple feature enhancements and critical bug fixes, alongside documentation updates to reflect kernel compatibility.

March 2025 monthly summary for deepflow: Delivered enhanced telemetry capabilities and kernel compatibility improvements to improve observability, security event accuracy, and deployment flexibility.

February 2025 monthly summary for deepflowio/deepflow: Focused on delivering measurable performance improvements to the eBPF agent data path and stabilizing telemetry, with concrete commits that reduce latency, improve reliability, and enhance metric accuracy. Key work included kernel cache flush timing optimization for the eBPF agent and stability fixes to address memory leaks, correct pod/metrics association, and DNS TCP handling. These changes deliver business value through faster, more reliable data collection and improved operational visibility.

January 2025 performance summary for deepflow (repo: deepflowio/deepflow). Highlights include delivering broader eBPF profiling coverage to all processes, improving kernel compatibility and resilience for eBPF loading, reducing high CPU usage in proc events handling, enabling AF_PACKET fanout for scalable packet distribution, and targeted codebase/build enhancements to improve maintainability and Musl compatibility. These changes expanded monitoring coverage, reduced profiling outages across kernel variants, and strengthened build stability for deployment in diverse environments.

December 2024 monthly summary focused on delivering high-value telemetry features, increasing reliability of kernel-to-user data pipelines, and improving developer/docs support. The work spanned two Repositories (deepflowio/deepflow and deepflowio/docs) and targeted cross-kernel compatibility, richer event telemetry, and clearer configuration guidance, enabling faster insight, lower maintenance costs, and easier deployment across environments.

November 2024 monthly performance summary for the deepflow repositories. Focused on expanding eBPF capabilities, improving observability, and stabilizing operation across kernel versions and security policies. Key features delivered include ARM eBPF support for Kylin v10 SP2, DPDK-based packet capture for the eBPF agent, and enhanced file I/O tracing with full path resolution and file offset reporting. Also implemented stability improvements for eBPF map sizing and kernel offset compatibility, and hardened tracer resilience when SELinux policies restrict operation. Documentation updated to clarify eBPF kernel compatibility on KylinOS.