Learn how to use PHP’s built-in mail() function to send emails to multiple recipients, covering basic syntax, two practical methods (comma-separated To and BCC/CC headers), essential security precautions, common pitfalls, and why professional libraries like PHPMailer are often a better choice.
This article outlines the standard BCC workflow for creating eBPF tools, then dissects the opensnoop source code, covering requirement analysis, kernel‑space program writing, BPF map configuration, user‑space Python integration, argument handling, testing, optimization, and deployment steps to monitor open system calls.
This article provides an in‑depth analysis of BPF maps—explaining their design principles, core features, various map types with code examples, and the macro expansion process that turns high‑level BCC helpers into native kernel map definitions for cloud‑native observability.
This tutorial introduces the BPF Compiler Collection (BCC) suite, explains how to install it, lists essential Linux commands, and provides step‑by‑step examples of each BCC tool for fast performance analysis, fault isolation, and network troubleshooting on Linux systems.
This article introduces Data Envelopment Analysis (DEA) as a non‑parametric method for assessing relative efficiency of decision‑making units, explains the CCR and BCC models, and demonstrates their application in evaluating and comparing the efficiency of various U.S. cities using real‑world data.
This article guides you through installing BCC, creating simple and complex eBPF programs with C and Python, explains eBPF architecture, source‑code organization, and demonstrates real‑world tracing examples for kernel diagnostics and performance monitoring.
This article introduces eBPF, explains its origins, compares it with SystemTap and DTrace, outlines its core use cases such as network monitoring, security filtering, performance analysis and virtualization, and provides step‑by‑step examples and tooling for Linux kernel tracing.
This article provides a comprehensive overview of eBPF, explaining its origins, core concepts, comparison with SystemTap and DTrace, common use cases such as network monitoring, security filtering, and performance analysis, and includes step‑by‑step Python examples with BCC for tracing and latency measurement.
This article introduces eBPF, explains its origins and how it extends BPF for kernel‑level observability, compares it with SystemTap and DTrace, outlines common use cases, details its loading‑compile‑execute workflow, and provides step‑by‑step Python/BCC examples with installation instructions and advanced latency measurement code.
This article explains what eBPF (extended Berkeley Packet Filter) is, compares it with related tracing tools, describes its core mechanisms and common applications such as network monitoring, security filtering and performance analysis, and provides step‑by‑step Python examples with installation instructions and further reading resources.
This article walks through the high‑level components of eBPF programs—backend, loader, frontend, and data structures—showing how the original sock_example.c is split into separate files, how LLVM compiles restricted C to ELF, and how projects like BCC, BPFtrace, and IOVisor automate development, deployment, and cloud‑native observability while highlighting their trade‑offs for embedded environments.
This tutorial explains how to create a Python‑based eBPF tool using the bcc framework to trace MySQL Group Replication's apply_data_packet function, covering environment setup, BPF program writing, attaching probes, and displaying real‑time thread and timestamp information.
This article introduces BPF/eBPF fundamentals, explains the bcc toolkit, provides installation steps for Ubuntu and CentOS, and demonstrates how to use bcc's dbstat and dbslower utilities to trace MySQL query latency and slow queries on Linux systems.
This talk explains how to diagnose MySQL performance issues by combining traditional MySQL slow‑query analysis with system‑level observation tools, introducing eBPF, bcc scripts, and practical examples to pinpoint bottlenecks across the database, OS, and hardware layers.
