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 AWS Elastic Kubernetes (EKS) resources 🇺🇦

  • 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.

  • 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.

  • 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.

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  • 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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