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Fastly Edge Compute compared to Amazon Lambda @ Edge

Fastly Edge Compute
Versus
Amazon Lambda @ Edge

Features

Edge Features of Fastly Edge Compute compared to Amazon Lambda @ Edge
Fastly Edge ComputeFeaturesAmazon Lambda @ Edge
Functions / Serverless
Rust, Javascript, VCLFunctions supported languagesjavascript, go, C/++, .NET, Node.js, PHP, python, ruby
Worker.js Environment
Docker supportYes, through EC2 Container Registry (ECR)
Docker private registry
Kubernetes support
Managed Kubernetes
Worldwiode (all 72 pops)Availability regionsAll compute pops
Default Memory (MB)128
Maximum Memory (MB)128
Execution Time (ms)5,000
Maximum Execution Time (ms)30,000
Request Payload (MB)50
Response Payload (MB).04
Unsupported Paid Feature Supported Unknown

Descriptions

Fastly Edge Compute

Fastly, traditionally a CDN, was one of the first CDNs that openly and actively promoted it’s edge worker technology.

Fastly has been open and quick when it comes to adding features and functionality to their Serverless product. The platform is runs on WASM logic (with JIT compilation). All in all, one could expect very fast responses when it comes to running your application on Fastly.

Fastly has a unique online fiddler tool to experiment and try different Edge features and functionality without even having to register, live log tailing and individual end-user request trailing. A notable customer of Fastly’s Edge Compute platform is LoveHolidays.

Amazon Lambda @ Edge

Amazon Lambda at the Edge functions introduced serverless cloud computing to the masses as early as 2014.

Being the first with a massive user-base has set up Amazon for great success, it took a few years for competitors to offer similar functionality and to actually call the FaaS space a new chapter in cloud compute in general.

Amazon’s Lambda@Edge is Amazon’s first Edge Compute product, however Amazon recently released CloudFront Functions, which brings the compute a lot closer to the end-user.

With Amazon’s gigantic scale, a shift has started with companies that are on the AWS platform to move more and more of their infrastructure to serverless.

Comparisons