<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Message Queues on Support Tools</title><link>https://support.tools/tags/message-queues/</link><description>Recent content in Message Queues on Support Tools</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Tue, 07 Apr 2026 00:00:00 -0500</lastBuildDate><atom:link href="https://support.tools/tags/message-queues/index.xml" rel="self" type="application/rss+xml"/><item><title>Advanced IPC Mechanisms: Shared Memory and Message Queues for High-Performance Enterprise Systems</title><link>https://support.tools/advanced-ipc-mechanisms-shared-memory-message-queues/</link><pubDate>Tue, 07 Apr 2026 00:00:00 -0500</pubDate><guid>https://support.tools/advanced-ipc-mechanisms-shared-memory-message-queues/</guid><description>&lt;p&gt;Inter-process communication (IPC) is fundamental to building scalable enterprise systems. This comprehensive guide explores advanced IPC mechanisms, from high-performance shared memory implementations to sophisticated message queue architectures, enabling efficient communication between distributed system components.&lt;/p&gt;</description></item><item><title>Chaos Testing Message Queues in Go: Building Resilient Distributed Systems</title><link>https://support.tools/post/chaos-testing-message-queues-in-go/</link><pubDate>Thu, 20 Nov 2025 09:00:00 -0500</pubDate><guid>https://support.tools/post/chaos-testing-message-queues-in-go/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;&#10;&lt;p&gt;Message queues form the backbone of many distributed systems, acting as a communication layer between services. While these systems may work perfectly under ideal conditions, the real world is far messier. Network partitions, broker failures, traffic spikes, and message corruption are just a few of the issues that can arise in production environments.&lt;/p&gt;&#10;&lt;p&gt;Chaos testing—intentionally introducing failures into your system to verify its resilience—has emerged as a critical practice for building robust distributed systems. In this article, we&amp;rsquo;ll explore how to implement chaos testing specifically for message queues in Go applications, helping you build more reliable systems that can withstand real-world failures.&lt;/p&gt;</description></item><item><title>Linux IPC Mastery: Pipes, FIFOs, Message Queues, and Shared Memory</title><link>https://support.tools/linux-pipes-ipc-mastery/</link><pubDate>Wed, 02 Jul 2025 22:00:00 -0500</pubDate><guid>https://support.tools/linux-pipes-ipc-mastery/</guid><description>&lt;p&gt;Inter-Process Communication (IPC) is fundamental to building complex Linux systems. Whether you&amp;rsquo;re implementing a microservice architecture, building a high-performance daemon, or creating a simple shell pipeline, understanding the various IPC mechanisms and their trade-offs is crucial. This guide explores Linux IPC from basic pipes to advanced shared memory techniques.&lt;/p&gt;</description></item></channel></rss>