<ul data-eligibleForWebStory="true"><li>Users in Tokyo were experiencing 1.2s API latency, prompting the need for a solution to reduce delays and improve performance.</li><li>Edge Computing with Node.js was implemented to lower latency by serving users from the nearest edge location, reducing origin load, and providing better resilience.</li><li>Node.js was chosen for its lightweight nature, JavaScript compatibility, and extensive ecosystem, with various edge runtime options available from platforms like Vercel Edge, Cloudflare, AWS Lambda@Edge, and Deno Deploy.</li><li>The implementation of edge-cached Node.js microservices led to significant improvements, such as a decrease in Tokyo latency from 1.2s to 80ms, reduced origin server load, and improved handling of peak traffic.</li></ul>

The Rise of Edge Computing with Node.js: How We Cut Latency by 60%

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