This article systematically breaks down Linux's core memory mechanisms, identifies common performance bottlenecks, and demonstrates how to use tools like numastat, perf, and Valgrind together with kernel parameters such as swappiness and min_free_kbytes to achieve practical memory optimizations.
Linux’s default 4 KB pages cause massive page tables and TLB misses in high‑memory workloads; this article explains the HugePage mechanism, its types, how it reduces page‑table entries, improves TLB hit rates, lowers fragmentation, and provides step‑by‑step configuration for static and transparent huge pages in production.
This article explains the Linux kernel's four‑level page‑table mechanism, the performance impact of TLB misses, why using 2 MB HugePages improves address‑translation efficiency, and provides step‑by‑step instructions for reserving and allocating HugePages via boot parameters, sysfs, and mmap.
This article consolidates DPDK 17.11 source‑code notes to explain the library’s memory‑management subsystem, covering hugepage concepts, shared configuration mapping, NUMA‑aware allocation, and the custom allocator that enables high‑throughput packet processing on Linux.
This article explains how using larger Linux page sizes—especially 2 MB hugepages—dramatically improves database throughput on Kubernetes nodes by reducing TLB cache misses, and provides practical guidance on configuring hugepages, disabling transparent hugepages, and sizing resources for optimal performance.
This article explains how Linux page size—from the default 4 KB to 2 MB or 1 GB huge pages—affects database performance, details the role of TLB cache hits and misses, presents benchmark results showing up to an eight‑fold throughput increase, and offers practical guidance for configuring huge pages on Kubernetes nodes.
This article explains how Linux page size, especially using 2 MB or 1 GB huge pages, dramatically improves database throughput on Kubernetes nodes—showing up to an eight‑fold increase for 4 KB pages—by reducing TLB misses and optimizing memory access, and provides practical guidance for configuring huge pages in various environments.
This article provides an in‑depth exploration of the Linux mmap system call, covering its role in virtual memory management, page table structures, various mapping types (anonymous, file‑backed, shared, private), flag options, and advanced concepts such as huge pages and transparent huge pages, with kernel‑level diagrams and code examples.
This article explains DPDK's memory management architecture, covering the hierarchical memory layout, hugepage discovery and mapping, shared configuration structures, NUMA‑aware allocation, custom malloc‑heap implementation, memzone and mempool creation, and the mbuf buffer model, with detailed code examples.
The article analyzes the growing demands on network I/O, outlines Linux and x86 bottlenecks, and explains how DPDK’s user‑space bypass, UIO, PMD, and various optimization techniques such as HugePages, SIMD, and cache‑friendly design enable multi‑hundred‑million‑packet‑per‑second processing.
Using a step‑by‑step example program, this article shows how to dramatically improve Linux pipe read/write performance—from an initial 3.5 GiB/s to 65 GiB/s—by applying zero‑copy techniques, ring buffers, paging insights, vmsplice/splice system calls, huge pages, and busy‑loop optimizations.
This article provides a comprehensive technical overview of DPDK, covering its architecture, core libraries, platform modules, polling and CPU‑affinity techniques, huge‑page memory management, NUMA considerations, OS tuning steps, and integration with OVS for high‑performance packet processing.
This article explains DPDK’s open‑source data‑plane framework, detailing its architecture, core libraries, platform modules, poll‑mode drivers, huge‑page memory management, polling technique, and CPU‑affinity strategies that together eliminate kernel bottlenecks and dramatically improve packet‑forwarding performance.
This article provides a comprehensive overview of DPDK, covering its fundamental and optimization technologies, software architecture, core libraries, platform modules, poll‑mode drivers, huge‑page usage, polling techniques, and CPU‑affinity strategies for high‑performance packet processing in NFV environments.
This guide explains the difference between standard Huge Pages and Transparent Huge Pages in Linux, outlines the performance benefits and drawbacks of using Huge Pages, and provides step‑by‑step commands and GRUB configuration methods to safely disable Transparent Huge Pages on CentOS systems.
This article explains Linux HugePages, how to view and configure them, demonstrates code and Kubernetes examples, and details how larger memory pages reduce management overhead and lock memory to improve performance for memory‑intensive services like databases and Hadoop.
The article explains how a MySQL instance on a CentOS 7.1 VM repeatedly suffered connection failures due to out‑of‑memory (OOM) events triggered by a mis‑configured 40 GB hugepage allocation that remained reserved for MySQL even after the large‑page setting was disabled.
The article analyzes the growing demands on network I/O, explains Linux and x86 bottlenecks, introduces DPDK’s user‑space bypass architecture and its core optimizations such as hugepages, poll‑mode drivers, SIMD, and CPU‑specific tuning, and finally discusses the DPDK ecosystem and practical considerations for backend developers.
This guide outlines five practical steps—enabling Zend Opcache, compiling with GCC 4.8+, activating HugePages, configuring Opcache file cache, and applying PGO—to extract the maximum speed from PHP 7 installations, especially for high‑traffic sites like WordPress.
This article introduces PHP 7.0.0’s major performance enhancements and provides five practical tuning steps—including enabling Opcache, using a newer GCC compiler, activating HugePages, configuring Opcache file cache, and applying profile‑guided optimization—to maximize speed and efficiency for backend applications.
