Why is EKS (and AWS in general) so much more convoluted than GKE/GCP?

This page summarizes the projects mentioned and recommended in the original post on /r/devops

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  • terraform-aws-eks

    Terraform module to create Amazon Elastic Kubernetes (EKS) resources πŸ‡ΊπŸ‡¦

    If you're looking for a more "batteries included" EKS setup, and you're using Terraform, take a look at the terraform-aws-eks module. It's still not quite as simple as GKE, but it'll get you quite a bit of the way there - especially when it comes to, e.g., creating the OIDC trusts and IAM policies for various components like the Cluster Autoscaler.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • terraform-aws-eks-blueprints

    Configure and deploy complete EKS clusters.

    My EKS experience has been hell. The number of small pieces you have to configure is pretty ridiculous imo. The auth system is annoying. I didn't even try to get cluster autoscaling set up and wen with the terrform blueprints: https://github.com/aws-ia/terraform-aws-eks-blueprints .It really feels like AWS is designed to help enterprises fill out their headcount.

  • argo-helm

    ArgoProj Helm Charts

    argocd_helm_config = { create_namespace = true name = "argo-cd" chart = "argo-cd" repository = "https://argoproj.github.io/argo-helm" namespace = "argocd" timeout = "3600" values = [templatefile("files/argocd-values.yaml", {})] }

  • Killed by Google

    Part guillotine, part graveyard for Google's doomed apps, services, and hardware.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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