Compute@Edge local testing gives you the flexibility to run your work-in-progress applications locally on your laptops, servers, or CI systems, in an environment similar to production, but…

In this post, we show how to test site speed modifications before implementing them using Compute@Edge and WebPageTest, a web performance tool that uses real browsers, to compare web…

Alongside the Bytecode Alliance, Fastly’s WebAssembly team recently led a rigorous security assessment of Cranelift, an open-source, next-generation code generator for use in WebAssembly to…

Authentication is one of the most obvious uses for edge computing. Understanding who your users are as early and as close as possible to their location yields powerful customizations and…

Online payments giant PayPal uses Fastly’s edge platform to deliver a more secure, faster, and more reliable user experience at a time when digital payments are surging.

GitHub Actions for Compute@Edge allow you to transition from a manually deployed application to a fully automated deployment workflow with ease and wrap the Fastly CLI to provide an easy way…

It's always been possible to create content programmatically, and with the advent of our serverless compute environment, we've made it possible to create and transform content more…

Today, we launched Nearline Cache, the first of our commercial solutions to be built in our serverless compute environment, and we’re already feeling the benefits across our engineering…

id Software’s DOOM has become one of the most-ported games in history. It felt like a perfect project to port to Compute@Edge, built on our serverless compute environment, to experiment with…

Vox Media, Mux, and PerimeterX share how Compute@Edge is unlocking performance, agility, and creativity across their organizations.

The basic concept of performing authentication and then using identity data to make authorization decisions is something that applies to a large majority of web and native apps. Doing this…

Compute@Edge Log Tailing allows developers on the Fastly Computer@Edge platform to quickly iterate on and debug their services by getting near-real-time feedback via stdout/stderr output.