<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Durability on StorageNews</title><link>https://storagenews.top/tags/durability/</link><description>Recent content in Durability on StorageNews</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 17 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://storagenews.top/tags/durability/index.xml" rel="self" type="application/rss+xml"/><item><title>PostgreSQL storage: Why S3 fails WAL flushes</title><link>https://storagenews.top/posts/postgresql-storage-why-s3-fails-wal-flushes/</link><pubDate>Fri, 17 Apr 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/postgresql-storage-why-s3-fails-wal-flushes/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">PostgreSQL stalls because &lt;strong>WAL flushes&lt;/strong> demand microsecond latency that cheap storage cannot provide.&lt;/p>
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&lt;p class="std-text">The prevailing thesis for 2026 is clear: attempting to force &lt;strong>S3 object storage&lt;/strong> to handle high-frequency transactional writes is a fundamental architectural error that sacrifices availability for false economy. As TechTarget notes, while AI and hybrid multi-cloud strategies drive cost governance, the physical reality of &lt;strong>disk I/O latency&lt;/strong> remains the ultimate bottleneck for database durability. Alasdair Brown&amp;#039;s analysis confirms that the primary challenge in running &lt;strong>Postgres&lt;/strong> is not the volume of bytes stored, but surviving the moments when the database must stop and wait for durable commits.&lt;/p></description></item><item><title>Amazon S3 Durability: 18 Years of Eleven Nines</title><link>https://storagenews.top/posts/amazon-s3-durability-18-years-of-eleven-nines/</link><pubDate>Tue, 17 Mar 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/amazon-s3-durability-18-years-of-eleven-nines/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">S3 now processes over 200 million requests per second while maintaining the original API code from 2006. While competitors chase fleeting trends, AWS has scaled its infrastructure by strictly enforcing these constraints, proving that true web-scale reliability requires sacrificing flexibility for absolute consistency.&lt;/p></description></item><item><title>S3 at scale: 500T objects, same API after 20 years</title><link>https://storagenews.top/posts/s3-at-scale-500t-objects-same-api-after-20-years/</link><pubDate>Mon, 16 Mar 2026 00:00:00 +0000</pubDate><guid>https://storagenews.top/posts/s3-at-scale-500t-objects-same-api-after-20-years/</guid><description>&lt;meta charset="utf-8">
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&lt;p class="std-text">S3 now manages over 500 trillion objects across hundreds of exabytes, a staggering leap from its one-petabyte origin.&lt;/p>
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&lt;p class="std-text">While the market hype cycle churns through new database paradigms, AWS proves that maintaining backward compatibility for two decades is the real engineering miracle. You will learn how the platform evolved from 400 storage nodes to spanning 39 regions, dissect the mechanics behind serving 200 million requests per second, and review critical security shifts necessitated by historical public access blunders.&lt;/p></description></item></channel></rss>