<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>ProxySQL Blog — #failover</title><description>Posts tagged #failover on the ProxySQL blog.</description><link>https://proxysql.com/</link><language>en-us</language><item><title>Orchestrator for PostgreSQL: the HA brain, now first-party</title><link>https://proxysql.com/blog/orchestrator-postgresql-intro/</link><guid isPermaLink="true">https://proxysql.com/blog/orchestrator-postgresql-intro/</guid><description>How ProxySQL for PostgreSQL handles unplanned primary failure</description><pubDate>Wed, 22 Apr 2026 00:00:00 GMT</pubDate><author>Rene&apos; Cannao&apos;</author></item><item><title>ProxySQL for PostgreSQL — Surviving an unplanned primary failure</title><link>https://proxysql.com/blog/proxysql-postgresql-unplanned-primary-failure/</link><guid isPermaLink="true">https://proxysql.com/blog/proxysql-postgresql-unplanned-primary-failure/</guid><description>How ProxySQL for PostgreSQL handles unplanned primary failure</description><pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate><author>Rene&apos; Cannao&apos;</author></item><item><title>ProxySQL for PostgreSQL — the failover model</title><link>https://proxysql.com/blog/proxysql-postgresql-failover-primer/</link><guid isPermaLink="true">https://proxysql.com/blog/proxysql-postgresql-failover-primer/</guid><description>First blog post of a series about ProxySQL for PostgreSQL and how it handles failover</description><pubDate>Sat, 18 Apr 2026 00:00:00 GMT</pubDate><author>Rene&apos; Cannao&apos;</author></item><item><title>Database Failover: Ensuring Seamless Transitions with ProxySQL</title><link>https://proxysql.com/blog/database-failover/</link><guid isPermaLink="true">https://proxysql.com/blog/database-failover/</guid><description>When was the last time your database experienced an unexpected failover? If it was seamless, consider yourself lucky, as most organizations struggle with signif</description><pubDate>Thu, 13 Mar 2025 00:00:00 GMT</pubDate><author>Rene Cannao</author></item><item><title>MySQL High Availability: Techniques to Ensure Uptime in Critical Systems</title><link>https://proxysql.com/blog/mysql-high-availability/</link><guid isPermaLink="true">https://proxysql.com/blog/mysql-high-availability/</guid><description>A single hour of downtime costs companies an average of $300,000, with critical systems like databases bearing the brunt of this risk. MySQL, widely used for ma</description><pubDate>Wed, 04 Dec 2024 00:00:00 GMT</pubDate><author>Rene Cannao</author></item><item><title>Failover comparison in Aurora MySQL 2.10.0 using proxySQL vs Aurora&apos;s cluster endpoint</title><link>https://proxysql.com/blog/failover-comparison-in-aurora-mysql-2-10-0-using-proxysql-vs-auroras-cluster-endpoint/</link><guid isPermaLink="true">https://proxysql.com/blog/failover-comparison-in-aurora-mysql-2-10-0-using-proxysql-vs-auroras-cluster-endpoint/</guid><description>Aurora cluster promises a high availability solution and seamless failover procedure. However, how much is actually the downtime when a failover happens? And ho</description><pubDate>Tue, 04 Jan 2022 00:00:00 GMT</pubDate><author>George Vasileiou</author></item><item><title>Amazon Aurora - Seamless Planned Failover with ProxySQL</title><link>https://proxysql.com/blog/aurora-failover-without-losing-transactions/</link><guid isPermaLink="true">https://proxysql.com/blog/aurora-failover-without-losing-transactions/</guid><description>One of the more popular solutions for a DBaaS in today&apos;s market is Amazon&apos;s RDS / Aurora service. Historically Amazon RDS was quite popular however Aurora has b</description><pubDate>Mon, 10 Sep 2018 00:00:00 GMT</pubDate><author>Nick Vyzas</author></item></channel></rss>