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Top 8 Ways We Support Our Next-Gen WAF Customers
From user experience and thorough documentation to a dedicated research team, Fastly is committed to providing high-quality support to our customers.
Introducing the Redesigned Fastly Status Page
The Fastly status page is unveiling a new design and enhanced functionality, including information on more products, as well as improved preferences on customer view, subscriptions, and notifications.
Log4j JNDI Attack Signal Now Available
We are excited to announce the general availability of our new LOG4J-JNDI attack signal, which allows for detecting and mitigating Log4Shell attacks.
Free Trial Origin and Domain Inspector Today!
We are excited to launch our first Observability free trial experience into the Fastly app! Gain full access to both Origin and Domain Inspector free for up to 30 days!
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.
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.
Four reasons you should try Fastly’s Image Optimizer
Major brands with strong web presences like The Guardian and Big Cartel rely on Image Optimizer to serve pixel-perfect images on the fly. Here are four reasons why you should try it out too.
The Signals Series, Part 1: Exploring Custom Signals
Traditional web application firewalls (WAFs) were created to stop malicious traffic from reaching your origin servers, which served its purpose well during an internet age of HTML and PNGs.
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.
Virtual Patching with the Fastly Next-Gen WAF
From bureaucratic red tape to chained dependencies patching servers has been a pain in the industry for years. This is why WAF-based virtual patching was introduced.
Taming third parties with a single-origin website
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-Security-Policy. In this post, we’ll show you a better way using Compute@Edge.
Fastly product design: Creating enterprise experiences | Fastly
At Fastly, we design for a delightful enterprise experience by looking deeply at customer needs. In this post, our Director of Product Experience shares some of the similarities and differences between B2C and B2B design she’s discovered in her journey of becoming an enterprise design lead, and how we implement human-centric design at Fastly.
Now in beta, Fastly’s Observability Dashboard
Fastly’s Observability Dashboard allows you to analyze all your edge delivery metrics and observability data in one interactive window. In this blog, learn more about the dashboard, now in beta, and find out how to get started.
iCloud Private Relay and what it means for customers
iCloud Private Relay is a new internet privacy service from Apple. With iCloud Private Relay, users with an iPhone, iPad, or Mac and an iCloud+ subscription can connect to and browse the internet and in a more secure and private way using Safari.
Meet the next iteration of JavaScript on Compute
Today we’re happy to announce that we’ve made several improvements to Compute that substantially boost the performance of the JavaScript runtime, as well as the overall developer experience on the platform.
Fastly named Customers' Choice for Web App and API Protection four years in a row | Fastly
With this year’s achievement, we are the only vendor to be named a Customers’ Choice in the Gartner Peer Insights™ “Voice of the Customer” Web Application and API Protection report for four years in a row with an average rating of 4.9 out of 5.0 stars.
Fastly's observability and monitoring: empowering smart delivery and high performance | Fastly
In this post, we break down our current observability offering and highlight some of the ways DevOps and SRE teams are using Fastly to investigate anomalies, improve performance and up-time, and engage in observability-driven development.
Domain Inspector beta now available | Fastly
Domain Inspector provides you with real-time and historical views of domain-level traffic and performance. Reduce the need for complex data pipelines, improve load balancing decisions, or reach faster incident response times through our new domain-level visualizations and data sets.
