The blog post details a case study on migrating Kubernetes clusters between AWS accounts using Velero. It covers the migration process, including the transfer of both Kubernetes and non-Kubernetes resources, and outlines specific steps and strategies adopted for this task. The post also shares lessons learned and insights gained during the migration, making it a useful resource for those looking to undertake similar projects.
https://devopsdirective.com/posts/2023/11/velero-aws-account-migration/index.html

libvirt autoscaler module for k8s cluster-autoscaler

https://github.com/PeterGrace/libvirt_autoscaler

Burrito is a TACoS (Terraform Automation Collaboration Software) Kubernetes Operator.

https://github.com/padok-team/burrito

Perfect presentation about zero-trust
https://www.youtube.com/watch?v=0fkFj5XVnpY

This post provides a comprehensive overview of Cloudflare's logging pipeline, detailing the various components and processes involved in managing, improving, and maintaining the internal logging systems. It covers the journey of logs from their inception to their storage, explaining the role of different technologies and methods used in this process. The article highlights Cloudflare's focus on scalability, high availability, and meeting service level objectives while handling immense volumes of log data.
https://blog.cloudflare.com/an-overview-of-cloudflares-logging-pipeline/

Good article about k8s and Zero-Downtime applications
https://www.qovery.com/blog/how-to-achieve-zero-downtime-application-with-kubernetes

Diagram as code

from diagrams import Cluster, Diagram
from diagrams.aws.compute import ECS, EKS, Lambda
from diagrams.aws.database import Redshift
from diagrams.aws.integration import SQS
from diagrams.aws.storage import S3

with Diagram("Event Processing", show=False):
    source = EKS("k8s source")

    with Cluster("Event Flows"):
        with Cluster("Event Workers"):
            workers = [ECS("worker1"),
                       ECS("worker2"),
                       ECS("worker3")]

        queue = SQS("event queue")

        with Cluster("Processing"):
            handlers = [Lambda("proc1"),
                        Lambda("proc2"),
                        Lambda("proc3")]

    store = S3("events store")
    dw = Redshift("analytics")

    source >> workers >> queue >> handlers
    handlers >> store
    handlers >> dw

https://diagrams.mingrammer.com/docs/getting-started/examples

AWS Organizations Service Control Policies (SCPs) written in HashiCorp Terraform.
https://github.com/ScaleSec/terraform_aws_scp

A day 0 tool for getting your app on k8s fast
https://github.com/azure/draft

Kubernetes-native IoT gateway
https://github.com/Edgenesis/shifu

Manage Kubernetes resources from Vim

https://github.com/rottencandy/vimkubectl

A Kubernetes Resource Interface for the Edge
https://github.com/project-akri/akri

The article discusses how they optimized costs for their Kubernetes-based ClickHouse clusters on AWS EKS. They achieved significant savings by analyzing and improving their EKS node utilization. The primary issue was the underutilization of EC2 instances. By changing the Kubernetes scheduler's scoring policy from 'LeastAllocated' to 'MostAllocated', they effectively increased cluster utilization and reduced the number of necessary EC2 nodes. This approach also involved setting up a custom scheduler and strategically handling system utility workloads. The result was a considerable reduction in infrastructure costs, without compromising performance or reliability for customers.
https://clickhouse.com/blog/packing-kubernetes-pods-more-efficiently-saving-money

Interesting article about CICD observability by Grafan
https://grafana.com/blog/2023/11/20/ci-cd-observability-via-opentelemetry-at-grafana-labs/

Helm Charts as Code

https://github.com/Praqma/helmsman

Kubevious CLI - Prevent Kubernetes disasters at the early stages
https://github.com/kubevious/cli