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Java Architect Handbook
Java Architect Handbook
Apr 28, 2026 · Backend Development

SpringBoot + Disruptor: Achieving 6 Million Orders per Second with Ultra‑Fast Concurrency

This article explains why Disruptor—a lock‑free, high‑throughput Java queue from LMAX—was chosen over traditional brokers, details its core concepts such as RingBuffer, Sequence, and WaitStrategy, and provides a step‑by‑step SpringBoot demo that can handle up to six million orders per second without pressure.

DisruptorJavaMessage Queue
0 likes · 13 min read
SpringBoot + Disruptor: Achieving 6 Million Orders per Second with Ultra‑Fast Concurrency
Liangxu Linux
Liangxu Linux
Oct 29, 2025 · Fundamentals

Why Use a Lightweight Ring Buffer? Deep Dive into LwRB for Embedded Systems

This article explains why circular buffers are essential for efficient data‑stream handling in embedded systems, introduces the open‑source LwRB library, details its memory‑safe and thread‑safe design using C11 atomics, provides core data structures and example code, and compares ring buffers with normal buffers and message queues.

DMAEmbedded CRing Buffer
0 likes · 14 min read
Why Use a Lightweight Ring Buffer? Deep Dive into LwRB for Embedded Systems
Liangxu Linux
Liangxu Linux
Oct 23, 2025 · Fundamentals

Why Use a Lightweight Ring Buffer? Deep Dive into LwRB for Embedded Systems

This article explains the need for circular buffers in embedded development, introduces the lightweight LwRB library, details its memory‑safe and thread‑safe design using C11 atomics, walks through core data structures and two‑stage read/write algorithms, provides complete code examples, and compares ring buffers with normal buffers and message queues.

Ring Bufferthread safety
0 likes · 15 min read
Why Use a Lightweight Ring Buffer? Deep Dive into LwRB for Embedded Systems
Code Ape Tech Column
Code Ape Tech Column
Sep 15, 2025 · Backend Development

Unlock Ultra‑Fast Messaging with Disruptor: A Hands‑On Java Guide

This article introduces the high‑performance Disruptor library, explains its core concepts such as Ring Buffer, Sequence, and Wait Strategy, and provides a step‑by‑step Java demo—including Maven setup, event model, producer, consumer, and test—showcasing how to build a lock‑free in‑memory message queue.

Concurrent ProgrammingDisruptorJava
0 likes · 11 min read
Unlock Ultra‑Fast Messaging with Disruptor: A Hands‑On Java Guide
Raymond Ops
Raymond Ops
Jul 7, 2025 · Operations

Understanding Linux NIC Packet Reception and How to Fix Drop Issues

This article explains the Linux network interface card packet reception flow, how to identify and interpret RX errors, dropped packets and overruns, and provides practical commands and tuning methods such as adjusting ring buffers, IRQ affinity, RSS/RPS, and netdev_max_backlog to resolve packet loss.

InterruptsLinuxPacket Loss
0 likes · 12 min read
Understanding Linux NIC Packet Reception and How to Fix Drop Issues
macrozheng
macrozheng
Mar 19, 2025 · Backend Development

Unlock Ultra‑Low Latency with Disruptor: Architecture, Features & Tuning Guide

This article introduces the high‑performance in‑memory queue Disruptor, covering its architecture—including ring buffer, sequence, sequencer, and wait strategies—its key features such as multicast events and lock‑free concurrency, and provides practical tuning advice and a complete Java example.

DisruptorIn-Memory QueueLow latency
0 likes · 12 min read
Unlock Ultra‑Low Latency with Disruptor: Architecture, Features & Tuning Guide
Code Ape Tech Column
Code Ape Tech Column
Dec 24, 2024 · Backend Development

Understanding the Disruptor In-Memory Message Queue: Architecture, Features, and Tuning

This article introduces the Disruptor in‑memory message queue, explains its core components such as Ring Buffer, Sequence, Sequencer and Wait Strategies, describes its distinctive features like multicast events and lock‑free concurrency, and provides tuning guidelines and a complete Java example.

DisruptorIn-Memory QueueJava concurrency
0 likes · 11 min read
Understanding the Disruptor In-Memory Message Queue: Architecture, Features, and Tuning
Linux Kernel Journey
Linux Kernel Journey
Sep 27, 2024 · Fundamentals

Understanding eBPF Ringbuf: Design, API, and Comparison

The article explains the motivation, design, and API of the new multi‑producer single‑consumer eBPF Ring Buffer, compares it with perf buffers and other alternatives, and provides complete BPF and userspace code examples demonstrating reservation, commit, and polling of events while preserving ordering across CPUs.

BPF_MAP_TYPE_RINGBUFRing BuffereBPF
0 likes · 8 min read
Understanding eBPF Ringbuf: Design, API, and Comparison
vivo Internet Technology
vivo Internet Technology
Aug 14, 2024 · Backend Development

Understanding Disruptor: High‑Performance In‑Memory Queue, Core Concepts, Demo, and Source Code Analysis

The article explains the Disruptor—an intra‑process, lock‑free, array‑based queue that achieves millions of operations per second—by covering its core concepts, demo code, source‑code mechanics, performance optimizations such as pre‑allocation and false‑sharing avoidance, and real‑world Vivo iTheme applications with best‑practice tips.

DisruptorJavaProducer Consumer
0 likes · 29 min read
Understanding Disruptor: High‑Performance In‑Memory Queue, Core Concepts, Demo, and Source Code Analysis
Deepin Linux
Deepin Linux
Jan 10, 2024 · Fundamentals

Understanding the ftrace Architecture: Ring Buffer, Tracers, and Trace Events in the Linux Kernel

This article explains the Linux kernel ftrace architecture, covering ring buffer principles and code, tracer implementations (function, function_graph, irq_off), trace events, dynamic and static instrumentation, and kprobe mechanisms, illustrating how tracing is integrated, managed, and optimized for various execution contexts.

KprobeLinuxRing Buffer
0 likes · 15 min read
Understanding the ftrace Architecture: Ring Buffer, Tracers, and Trace Events in the Linux Kernel
Java High-Performance Architecture
Java High-Performance Architecture
Nov 15, 2023 · Backend Development

Mastering Disruptor: High‑Performance Java Queue for Producer‑Consumer Systems

This article introduces the open‑source Disruptor framework, explains its core concepts such as Ring Buffer, Sequencer, and Wait Strategies, and provides a step‑by‑step Java demo—including Maven setup, event factory, handlers, and a test case—to illustrate building a high‑throughput, low‑latency in‑memory message queue.

DisruptorJavaMessage Queue
0 likes · 11 min read
Mastering Disruptor: High‑Performance Java Queue for Producer‑Consumer Systems
Liangxu Linux
Liangxu Linux
Apr 3, 2023 · Fundamentals

Mastering Linux NIC Packet Processing and Ring Buffer Optimization

This guide explains how a network interface card (NIC) receives packets, the role of DMA, interrupt handling, poll functions, and ring buffers, then details multi‑CPU ring buffer handling, key ethtool commands for statistics, buffer size, queue configuration, and hash‑based flow distribution.

LinuxNICRing Buffer
0 likes · 10 min read
Mastering Linux NIC Packet Processing and Ring Buffer Optimization
Code Ape Tech Column
Code Ape Tech Column
Jun 9, 2022 · Backend Development

Introduction to Disruptor: High‑Performance Java Message Queue with Full Code Demo

This article introduces the open‑source Disruptor library, explains its core concepts such as Ring Buffer, Sequencer, and Wait Strategy, and provides a step‑by‑step Java implementation—including Maven dependency, event model, factory, handler, manager, producer, and test code—demonstrating how to build a fast in‑memory message queue.

Backend DevelopmentDisruptorJava
0 likes · 10 min read
Introduction to Disruptor: High‑Performance Java Message Queue with Full Code Demo
Xiao Lou's Tech Notes
Xiao Lou's Tech Notes
Jun 18, 2020 · Backend Development

How to Build an Ultra‑Fast Ring Buffer for Producer‑Consumer in Java

This article explains a high‑performance ring buffer implementation for a multi‑threaded producer‑consumer model in Java, covering design choices, atomic index handling, benchmark results, and further optimizations such as cache‑line padding and multi‑buffer sharding.

AtomicIntegerJava concurrencyProducer Consumer
0 likes · 10 min read
How to Build an Ultra‑Fast Ring Buffer for Producer‑Consumer in Java
Qunar Tech Salon
Qunar Tech Salon
Jun 18, 2017 · Databases

Understanding and Applying Common Table Expressions (CTE) in SQL

This article introduces Common Table Expressions (CTE) in SQL, explains how they improve query readability and enable writable temporary tables, demonstrates multi‑table modifications, advanced CRUD scenarios, implements a ring‑buffer using CTE, and discusses performance benefits and potential pitfalls.

CTERing BufferSQL
0 likes · 12 min read
Understanding and Applying Common Table Expressions (CTE) in SQL