karpenter-provider-aws VS cdk8s

If you’re not familiar with Karpenter — watch my quick intro. But in a nutshell, Karpenter is a better node autoscaler for Kubernetes (say goodbye to wasted compute resources). It is open-source and built by the AWS team. Qovery is an Internal Developer Platform I’m a co-founder) that we’ll use to spin up our EKS cluster with Karpenter.

Karpenter

Here are a few reference links about the previous services and tools: What is Amazon EKS? Cluster Mesh Karpenter

Autoscaling over EKS can be accomplished using either the cluster-autoscaler project or Karpenter. If you want to use Spot instances, consider using Karpenter, as it has better integrations with AWS for optimizing spot pricing and availability, minimizing interruptions, and falling back to on-demand nodes if no spot instances are available.

Kubernetes has its own learning curve, but when tools like Karpenter exist it's kinda hard to beat for "auto-scaled compute" that is vendor agnostic. We leverage Karpenter for burst in our vSphere environment as well as our EC2 environment. Karpenter is invoking roughly the same Terraform code in both cases, just using different modules for the particular virtualization. Say we want to go to Azure and GCP -- we add an Azure and GCP module to the same Terraform codebase, and not much else needs to change from the "scale up / scale down" perspective.

Also https://github.com/aws/karpenter/issues/331

Why don't you stick to the KubernetesPodOperator though? I fail to see a benefit in using the ECS operator considering you're already running Airflow in EKS. You can look into something like karpenter to manage your nodes.

Any, it doesn’t matter which as long as you don’t have to count spaces in yaml by hand.

If you really want a concrete recommendation try https://cdk8s.io/.

CDK8s - CDK8s is used to define Kubernetes resources and applications. CDK8s uses the high-level abstraction concept called constructs to represent various Kubernetes resources such as deployments, services, and configurations. Developers can write code in programming languages like TypeScript, Python, and Java, and CDK8s will translate this code into standard Kubernetes YAML manifests that can be directly applied to a Kubernetes cluster.

Have you looked into https://cdk8s.io/? I've been using it for a while now, and I must admit TypeSript does help a lot. Not really sold on your React syntax yet, but well done nevertheless

I, personally, prefer to wrap it in CDKTF/CDK8S in golang and manage with Crossplane Composition Functions, but your mileage may vary. I'm finding way too bugs in CDK's... but it calms me a bit, that Amazon folks actually looking into it.

Have you looked into cdk8s? That will let you get away from dealing with yaml and let you use code instead. Helm included.

My favorite is cdk8s + typescript.

What about https://cdk8s.io/?