<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Serverless - Tag - Botmonster Tech</title><link>https://botmonster.com/tags/serverless/</link><description>Serverless - Tag - Botmonster Tech</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Mon, 27 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://botmonster.com/tags/serverless/" rel="self" type="application/rss+xml"/><item><title>How to Run SQLite on the Edge in Serverless and CDN Environments</title><link>https://botmonster.com/posts/sqlite-on-the-edge-serverless-cdn-environments/</link><pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate><author>Botmonster</author><guid>https://botmonster.com/posts/sqlite-on-the-edge-serverless-cdn-environments/</guid><description><![CDATA[<div class="featured-image">
                <img src="/sqlite-on-the-edge-serverless-cdn-environments.png" referrerpolicy="no-referrer">
            </div><p>SQLite can now run at the edge - inside <a href="https://workers.cloudflare.com/" target="_blank" rel="noopener noreferrer ">Cloudflare Workers</a>
 via D1, on <a href="https://fly.io/" target="_blank" rel="noopener noreferrer ">Fly.io</a>
 via LiteFS replicated volumes, and in any V8 isolate through embedded WASM builds. This gives you sub-millisecond read queries by placing your database physically close to your users on a global CDN. The key innovations that made this practical are LiteFS for transparent SQLite replication across distributed nodes, Cloudflare D1 as a managed edge SQLite service, <a href="https://turso.tech/" target="_blank" rel="noopener noreferrer ">Turso</a>
 with its libSQL fork adding server mode and built-in replication, and <a href="https://litestream.io/" target="_blank" rel="noopener noreferrer ">Litestream</a>
 for continuous WAL-based streaming to S3. Combined with SQLite&rsquo;s zero-dependency, single-file architecture, you get a relational database that deploys as part of your application binary, needs no connection pooling, and handles thousands of reads per second per node with microsecond-level latency.</p>]]></description></item></channel></rss>