In this post, we’ll take a look back at the past year through the eyes of our edge cloud network to explore what we saw across new protocol adoption, security initiatives, network growth…

As we look back to celebrate the 30th anniversary of the website, it’s also worth thinking about the next 30 years. There are a couple of areas where we — as engineers, developers, and…

We experienced a global outage due to an undiscovered software bug that surfaced on June 8 when it was triggered by a valid customer configuration change. Here's a rundown of what happened…

Increased internet usage due to COVID-19 drove a ‘COVID bump’ in traffic across certain industry verticals, including digital media publishing, education, and social media.

Fastly introduces Precision Path to address short-lived network congestion issues, for improved protection from transient provider issues for origin server requests, and a more robust…

We’ve been experimenting with Network Error Logging with Fastly Insights and discovered that processing the NEL reports is a great use case for Compute@Edge. In this post, we’ll look at our…

Observability is hard. Distributed systems, dev and testing environments, and outside vendors all complicate the problem. With Compute@Edge, Fastly wants to make observability easier. Here’s…

TLS 1.3 is now available for Fastly customers. The newest version of the TLS protocol, TLS 1.3 is designed to improve the performance and security of traffic served over HTTPS.

Network error logging reports client-side failures and successes, enabling developers to understand how their sites function in the real world and how they might improve performance. In this…

The growth of our global network allows us to stand at the ready with our customers, supporting and protecting their innovations at the edge.

While many of the people building and planning to use QUIC are eager to see wide deployment, there are concerns over whether QUIC can be as computationally efficient as TCP. We ran the tests…

How network automation, a small team of engineers, and key learnings from past extreme high-traffic moments allow us to support delivery performance at scale.