Compute
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Host your Remix app on Fastly Compute
With our new remix-compute-js libraries, you can now host your Remix application on our Compute platform, allowing you to serve at our world-wide edge network — you don't even need an origin server.
Fastly and the Fediverse, pt.1
We care deeply about all things open source and standards, and we’re excited to see how the Fediverse grows in the coming months. Today, we're explaining how it works and how we support it.
Compute + Edge Messaging? Introducing Fanout
Fastly’s Fanout, a pub/sub style message bus built on Fastly infrastructure that operates in the Edge Messaging space, is now available in Limited Availability.
The Signals Series, Part 3: Signals at the Edge
Learn how to use next-gen WAF signals to identify known actors and track responses. We’ll also look at how moving some of the security decisioning to Fastly’s edge can further protect downstream systems through the use of custom response codes.
Self-service Image Optimization announced | Fastly
We are happy to announce the availability of the long awaiting self-service of our Image Optimization product. Once enabled, users can manually enable/disable image optimization on each/all of their Fastly service configurations. We are pleased to bring this support to the world's fastest-edge network.
Easy Debugging with Compute@Edge Log Tailing UI | Fastly
The Fastly CLI is an excellent tool during development and debugging, when an engineer is typically working within the codebase and command line. But it may not always be the most readily available tool when you’re viewing observability metrics and dashboards in the browser. Our new C@E Log-Tailing UI solves this problem.
Astro on the Edge in under 2 minutes with Fastly
Did you know you can easily serve static sites from the edge with Fastly? Here’s how to get an Astro site published on Fastly’s Compute for free in less than 2 minutes.
Gatsby on the Edge in under 2 minutes with Fastly
Did you know you can easily serve static sites from the edge with Fastly? Here’s how to get a Gatsby site published on Fastly’s Compute for free in less than 2 minutes.
New Privacy Protocols and Edge Infrastructure | Fastly
Edge cloud platforms, like Fastly, provide key roles in delivering the infrastructure for the modern, privacy-aware network. We are working with more partners every day to explore the fit between our edge cloud and the needs of these blinding applications.
Run your Next.js app on Fastly
With our new next-compute-js library, you can now host your Next.js application on our Compute@Edge platform – giving you the benefits of both the Next.js developer experience and our blazing-fast, world-wide edge network, and you don't even need an origin server.
Node.js-style HTTP interfaces for Compute
Our Compute JavaScript platform provides Request and Response objects, but these are based on the Fetch standard, rather than the req and res objects traditionally seen in Node.js programs. If you have a program designed for Node.js that you are thinking about moving over to Compute, or if a library you want to use is designed for Node, our new open-source library, http-compute-js, has got your back.
No-origin, static websites at the edge!
Many of the world's websites are static, and Fastly’s content delivery network gets those pages from origin to visitors quickly. But what if we took the origin out of the equation?
OpenTelemetry part 4: Instrumenting Fastly Fiddle
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 shines when you add it to everything in your stack. What does that look like and is it worth it? We instrumented Fastly Fiddle, from top to bottom, to find out.
OpenTelemetry Part 3: Using OpenTelemetry in Compute
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 resources. In this post I'll show you how easy it is to add this support to an edge application.
Serverless Swift with Compute@Edge by Andrew Barba | Fastly
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, to boot! Understandably impressed, we sat down with Andrew to learn about his goals and build process for the project.
Live sports delivery challenges conquered | Fastly
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, requiring both flexibility and resiliency.
Write less, do more at the edge: Introducing expressly
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 Fastly's Compute@Edge, and inspired by the popular Node.js framework, Express.
ESI and the story of libraries built for the edge
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. Fastly has always done a bit better than this – from the beginning, building our network on the Varnish cache gave our customers the ability to fully program how requests were served at the edge. However, the constraints of VCL, the domain-specific language used to configure Varnish, meant that you were limited to only the features that we chose to offer.
Unlocking Real-Time at the Edge
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 our scalable, WASM-based Compute@Edge, our serverless compute offering. Our first step was to add WebSockets support to our Compute@Edge platform.
Edgemesh's 5x faster time-to-first-byte with Compute@Edge | Fastly
Learn how Edgemesh leveraged Compute to help their customers improve load times, reduce bounce rates, and generate more sales.
