We are very excited about OpenTelemetry. We wrote about why, and also about how to emit telemetry from Fastly's VCL services, and our new Compute platform. But OpenTelemetry's value truly…

Our first OpenTelemetry library for Compute is now available, enabling your Compute application to generate spec-compliant traces, providing deeper insights about its performance and…

Recently Andrew Barba, the engineer behind Swift Cloud, released a highly performant and fully featured Swift SDK for our Compute platform. And he built the initial release in just four days…

With zero tolerance for rebuffering and streams that scale from zero to massive in no time, the stakes are unusually high, making live sport the most demanding content type to deliver…

Do you ever wish Compute@Edge worked like the framework you already know? Now it does. We just launched expressly, a lightweight and minimalist routing layer for JavaScript apps running on…

Traditionally, content delivery networks have been built upon a proprietary core product which is supported by equally proprietary add-ons such as image optimization and content filtering…

We are excited to announce that we have made big strides integrating Fanout into Fastly. We  recently announced that Fastly has acquired Fanout in order to unlock real-time web features on…

Learn how Edgemesh leveraged Compute to help their customers improve load times, reduce bounce rates, and generate more sales.

Our customers at the Guardian recently participated in an internal hack day with Compute to find creative solutions to business problems with the hands-on support of our team. Oliver…

Almost all webpages today load resources from origins other than the one the page came from, which can play havoc with the way your site loads and make it harder to write a strict Content…

Our new KV Store offers global, durable storage for compute functions at the edge. With fast reads and writes from both the edge or via API, you can store, control, or cache your data to…

In this post, we’ll cover three questions — and recommendations for each — to ask yourself on the front end of application development to save time when it comes to scale.