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Azion Edge Functions compared to Amazon Lambda @ Edge

Azion Edge Functions
Versus
Amazon Lambda @ Edge

Features

Edge Features of Azion Edge Functions compared to Amazon Lambda @ Edge
Azion Edge FunctionsFeaturesAmazon Lambda @ Edge
Functions / Serverless
javascript and luaFunctions 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
Azion has plenty of pops in Latin America, and a few in western European and Northern AmericaAvailability 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

Azion Edge Functions

Azion has been around for over a decade.

Traditionally a cloud hosting provider, Azion has increased their offerings at a steady rate thoughout their years of existance.

their serverless platform is in it’s infancy days at the time of writing (early 2021), with 2 supported languages and just a limited set of accessible runtime variables.

The documentation isn’t comprehensive as one would hope.

Anyone with local compute requirements in the LATAM space would incriminate themselves not considering Azion as their supplier.

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 [email protected] 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