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Wow this was great for me as someone who's new to the space to learn about some older technology and the things we can learn from them. I'm planning to make an orchestrator for my dissertation and I'm sure this will come in useful.

I wish Kubernetes did less. Mesos was a thin layer of resource management & platforms (aka frameworks) had all the opinions on how jobs should run The biggest downside of Mesos was Zookeeper just like the biggest downside of K8s is etcd. If that wasn't there k8s would scale and be easier to manage

Borg is widely adopted because of Google’s org chart and culture From everything I’ve heard it’s overly complicated (feature creep) but internal teams have been layering on top of layers to make specific things easier K8s tries to layer & be flexible (eg deployments) which doesn’t layer well

This is why you see alternative options in k8s. Things like Argo rollouts. Same primitives, different opinions K8s deployments are good enough for a lot of things but once you need something else it is more work than it should be

I wish k8s had a faster, in-memory db option like borg (I don’t think it uses that anymore) Borg scaled to 10k clusters by vertically scaling single masters at the cost of downtime for data replication during failover

One aspect of k8s I am unhappy with is that we did not see an emergent ecosystem of specialized workload abstractions/controllers. It's just too technically tedious, still.

It's true that getting rid of things in Borg is nigh impossible - someone is using EVERY feature (even when that feature literally does nothing anymore :) Google has a high tolerance for "exposed wiring" sorts of UXes, which is not true in the wider world.

We can get k8s to 10s of thousands of nodes on straight etcd. The number of orgs who legitimately should use clusters of that scale is probably O(10s) globally. That said, one of the things that makes k8s powerful (IMO) is the consistent API semantics. It also makes it tempting to do bad things.

Railway.app built there own orchestration over going with k8. I can’t seem to find the a post on it but remember talk to Jake Cooper on the why’s and it just not fitting for them. Not the exact write up but does point out they went in a different direction. blog.railway.com/p/launch-wee...

blog.railway.comSo You Think You Can Scale?Wanna know how Horizontal Scaling works? Well, it’s a tale in two parts: orchestration and networking. Let’s dig into the digital dirt and untangle the bits and bytes that make this scaling magic happ...

What a great talk! Super fun. A walk down memory lane in some ways, but it was cool hearing about some orchestrators I'd never heard much about, too.