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Deepin Linux
Deepin Linux
May 20, 2026 · Fundamentals

Mastering ramfs and tmpfs: Deep Dive into Linux’s High‑Speed In‑Memory Filesystems

This article explains the inner workings of Linux’s ramfs and tmpfs memory file systems, covering kernel page‑cache and shmem mechanisms, allocation and reclamation processes, size and inode limits, swap interaction, practical mounting commands, and suitable use‑cases compared with traditional disk‑based file systems.

IO performanceLinux kernelmemory file system
0 likes · 32 min read
Mastering ramfs and tmpfs: Deep Dive into Linux’s High‑Speed In‑Memory Filesystems
DataFunSummit
DataFunSummit
May 10, 2026 · Big Data

How Lance File Format v2.2 Accelerates, Cuts Costs, and Governs Multimodal Data

Lance File Format v2.2 tackles the AI data explosion by delivering hundred‑fold random‑read performance, advanced two‑layer compression, zero‑cost schema evolution, Git‑style versioning, external blob handling, and a roadmap toward native media support and intelligent encoding, positioning it as a core infrastructure for large‑scale multimodal workloads.

Data GovernanceFile FormatIO performance
0 likes · 14 min read
How Lance File Format v2.2 Accelerates, Cuts Costs, and Governs Multimodal Data
Su San Talks Tech
Su San Talks Tech
Sep 2, 2024 · Fundamentals

Why Zero-Copy Supercharges RocketMQ & Kafka: mmap, sendfile, DMA

Zero‑copy techniques such as mmap + write, sendfile, and sendfile + DMA scatter/gather reduce CPU‑memory copies and context switches compared with traditional read/write IO, improving performance for high‑throughput systems like RocketMQ and Kafka, while explaining user‑kernel mode, DMA, and their trade‑offs.

DMAIO performanceLinux
0 likes · 11 min read
Why Zero-Copy Supercharges RocketMQ & Kafka: mmap, sendfile, DMA
Su San Talks Tech
Su San Talks Tech
Mar 19, 2024 · Backend Development

Cut Page Load Time from 5 s to <1 s: Java IO, NIO, mmap & Zero‑Copy Tricks

This article explains why a Java page took five seconds to load, identifies three bottlenecks involving large BLOB fields and file I/O, and walks through four optimization steps—including lazy loading, buffered streams, memory‑mapped files, and sendFile zero‑copy—that reduce the load time to under one second.

IO performancebuffered streamsjava
0 likes · 17 min read
Cut Page Load Time from 5 s to <1 s: Java IO, NIO, mmap & Zero‑Copy Tricks
Selected Java Interview Questions
Selected Java Interview Questions
Jul 11, 2021 · Big Data

Why Kafka’s I/O Performance Is So High

Kafka’s I/O efficiency stems from sequential data writes, zero‑copy reads using sendfile, batch compression of messages, and a dual‑threaded batch producer that together minimize random disk access and data copying, dramatically speeding up both reading and writing operations.

Batch CompressionIO performanceSequential Write
0 likes · 4 min read
Why Kafka’s I/O Performance Is So High
Liangxu Linux
Liangxu Linux
Apr 18, 2021 · Fundamentals

Zero-Copy Explained: How mmap, sendfile, and DMA Boost RocketMQ & Kafka

Zero-copy techniques such as mmap + write, sendfile, and sendfile + DMA scatter/gather reduce CPU copies and context switches by leveraging kernel‑space data transfers and DMA, dramatically improving I/O performance for high‑throughput systems like RocketMQ and Kafka, as explained with detailed process flows and comparisons.

DMAIO performanceZero Copy
0 likes · 10 min read
Zero-Copy Explained: How mmap, sendfile, and DMA Boost RocketMQ & Kafka
Architects' Tech Alliance
Architects' Tech Alliance
Aug 23, 2019 · Operations

IO Performance Evaluation, Monitoring, and Optimization Guide

This article explains how to assess, monitor, and tune system I/O performance by defining I/O models, selecting appropriate evaluation tools, tracking key metrics for disk and network I/O, and applying practical optimization strategies for both storage and network bottlenecks.

Disk I/OIO performanceNetwork I/O
0 likes · 15 min read
IO Performance Evaluation, Monitoring, and Optimization Guide
Architects' Tech Alliance
Architects' Tech Alliance
Jul 26, 2019 · Operations

IO Performance Evaluation, Tools, Metrics, and Optimization Strategies

This article explains how to assess and improve system I/O performance by defining I/O models, selecting appropriate evaluation tools for disk and network, monitoring key metrics such as IOPS, bandwidth and latency, and applying host, network, and storage‑side optimization techniques for high‑throughput and low‑latency workloads.

IO performanceMonitoring ToolsNetwork Latency
0 likes · 16 min read
IO Performance Evaluation, Tools, Metrics, and Optimization Strategies
UCloud Tech
UCloud Tech
Nov 8, 2018 · Cloud Computing

Unlocking 13× IOPS: Inside UCloud’s High‑Performance SSD Cloud Disk Architecture

UCloud’s latest SSD cloud disk redesign dramatically improves performance—raising IOPS by 13‑fold, cutting latency tenfold, and expanding capacity—through a two‑layer IO path, 1 MB metadata shards, multithreaded models, overload protection, online migration, and upcoming RDMA/SPDK‑based ultra‑high‑performance storage solutions.

IO performanceRDMASPDK
0 likes · 13 min read
Unlocking 13× IOPS: Inside UCloud’s High‑Performance SSD Cloud Disk Architecture
UCloud Tech
UCloud Tech
Oct 27, 2017 · Cloud Computing

How to Debug Windows I/O Performance Issues in Virtualized Cloud Environments

This article walks through diagnosing and fixing severe Windows I/O performance degradation in a virtualized cloud host by using perf, systemtap, QEMU tracing, and kernel tweaks, revealing that excessive ACPI timer and APIC accesses cause costly VM exits and how enabling the Hyper‑V timer restores expected IOPS.

IO performanceKVMQEMU
0 likes · 10 min read
How to Debug Windows I/O Performance Issues in Virtualized Cloud Environments