Three years ago, I was part of a team responsible for developing and maintaining Kubernetes clusters for end user customers. A main source for downtime in customer environments occurred when image registries went down. The traditional way to solve this problem is to set up a stateful mirror, however we had to work within customer budget and time constraints which did not allow it. During a Black Friday, we started getting hit with a ton of traffic while GitHub container registries were down. This limited our ability to scale up the cluster as we depended on critical images from that registry. After this incident, I started thinking about a better way to avoid these scalability issues. A solution that did not need a stateful component and required minimal operational oversight. This is where the idea for Spegel came from.
Not specially you, just a comment about the license: OP’s problem with attribution is minor. The major problem they have is that Microsoft took his time to get a personal intro to the project, forked it and didn’t contribute back. That’s what he’s unhappy about. That there was no attribution is barely important.
Yes, choosing MIT doesn’t require hem to contribute back and it should’ve been a restrictive opensource license, but it seems he really thought they asked for a call in order to join in on the development.
Anti Commercial-AI license
Thx for the clarification.