AutoSpotting VS metalk8s

There's a service that handles obtaining the cheapest spot instances to your specs by a former aws engineer https://github.com/LeanerCloud/AutoSpotting

Effectively, it starts up cheap spot instances (based on specified criteria) across a variety of instance types to replace whatever regular instance in an autoscaling group comes online and then spins down the regular instance.

EG: That m4a you wanted may be expensive... but nobody is using m4ad so it's 85% off and it meets the specified CPU/RAM requirements... auto spotting will spin it up instead.

Having used it on and off over the years it is sometimes eyebrow raising to see 4xl boxes running cheaper than the xl box they replaced :)

I've been heavily using ChatGPT on my autospotting.io software, where it 3-5x my productivity, releasing in 6 weeks more improvements than in the previous 6 months combined: https://github.com/LeanerCloud/AutoSpotting/discussions/489

Relevant: https://github.com/cloudutil/AutoSpotting

I've seen some third party services that automate migration to / replacement with spot instances, but haven't used them yet personally.

Going serverless, in many places, has been the most effective cost optimization for me.

I've also been maintaining a Golang library that essentially exposes the same data structure used under the hood by ec2instances.info as a Golang data structure, which is very convenient for embedding into other tools that can do lots of things with this raw data, like I do it in my AutoSpotting project.

I think autospotting can do this.

https://github.com/AutoSpotting/AutoSpotting is an interesting project that might help you with implementing this. It will automatically swap-out on-demand instances for spot and auto-restart as on-demand if spot capacity disappears.

we scale up to about 100 machines. We use spot instances EXTENSIVELY. And that configuration was tricky actually. Its been a couple of months now. Works pretty ok.

k3s is actually pretty simple to use now. the tricky part was to integrate with https://github.com/kubernetes/cloud-provider-aws and https://github.com/DirectXMan12/k8s-prometheus-adapter

The hardest part is to get it to work with spot instances. we use https://github.com/AutoSpotting/AutoSpotting to integrate with it.

I'm on my phone so this is going to be a brief reply, but it might be worth looking into metalk8s (https://github.com/scality/metalk8s). I've used it very successfully for an entirely offline k8s cluster. They've done a great job automating updates and management of a cluster.

kops - Production Grade K8s Installation, Upgrades, and Management silver-surfer - Check ApiVersion compatibility and provide Migration path for Kubernetes objects when upgrading Kubernetes to latest versions Kube-ops-view - Kubernetes Operational View - read-only system dashboard for multiple K8s clusters kubeprompt - Kubernetes prompt info Metalk8s - An opinionated Kubernetes distribution with a focus on long-term on-prem deployments kind - Kubernetes IN Docker - local clusters for testing Kubernetes Clusterman - Cluster Autoscaler for Kubernetes and Mesos Cert-manager - Automatically provision and manage TLS certificates Goldilocks - Get your resource requests "Just Right" katafygio - Dump, or continuously backup Kubernetes objets as yaml files in git Rancher - Complete container management platform Sealed Secrets - A Kubernetes controller and tool for one-way encrypted Secrets OpenKruise/Kruise - Automate application workloads management on Kubernetes https://openkruise.io kubectl snapshot - Take Cluster Snapshots kapp - simple deployment tool focused on the concept of "Kubernetes application" — a set of resources with the same label https://get-kapp.io keda - Event-driven autoscaler for Kubernetes Octant - To better understand the complexity of Kubernetes clusters Portainer - Portainer inside a Kubernetes environment Gardener - Deliver fully-managed clusters at scale everywhere with your own Kubernetes-as-a-Service Kubed - Kubernetes Cluster Operator Daemon Kubestack - Kubestack is the free and open-source GitOps framework to codify your custom platform stack using Terraform.

An 'easy' way to deploy a cluster could be using kubeadm. Then you'll need a CNI like Calico to get Pod networking up-and-running. However, you'll want to install a bunch of other software on said cluster to monitor it, manage logs,...

Given you're running on physical infrastructure, MetalK8s [1] could be of interest (full disclosure: I'm one of the leads of said project, which is fully open-source and used as part of our commercial enterprise storage products)

[1] https://github.com/scality/metalk8s