| RedHat OpenShift | Features | Amazon Lambda @ Edge |
|---|---|---|
| Functions / Serverless | ||
| Dockerized, so anything that runs inside a container. | Functions supported languages | javascript, go, C/++, .NET, Node.js, PHP, python, ruby |
| Worker.js Environment | ||
| Docker support | Yes, through EC2 Container Registry (ECR) | |
| Docker private registry | ||
| Kubernetes support | ||
| Managed Kubernetes | ||
| Wherever your own pops are | Availability regions | All 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 | ||
If rolling your own is your style, then OpenShift is your platform to do it on.
100% open source, Red Hat’s OpenShift comes with a very big manual of course, but that’s what makes it complete and a true Red Hat product. First launched in 2011, OpenShift Container Platform’s has been a core component of OpenStack for years.
OpenShift packs a punch, but comes at the cost of having to maintain and own your hardware before you can really start.
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.
