Prometheus-based Kubernetes Resource Recommendations

https://github.com/robusta-dev/krr

The Agoda Engineering team details their "private cloud first" approach to load shedding in this feature. They explain how this strategy helps protect their most critical systems by gracefully degrading services during traffic surges.
https://medium.com/agoda-engineering/load-shedding-private-cloud-first-81ddd5ab53ac

This item serves as a practical walkthrough for managing AWS EKS Access Entries with both Terraform and OpenTofu. It provides the necessary code and configuration to streamline Kubernetes user access management.
https://dev.to/aws-builders/managing-aws-eks-access-entries-with-terraform-and-opentofu-414

Simple but still extremely powerful K9S alternative. An interactive explain command. Security scanning based on trivy. Supports multiple envs. Midnight commander like interface. Custom hotkeys

https://github.com/pymag09/kubecui

An AWS author provides a helpful review of using Terraform to provision and manage AWS IoT Things. The text demonstrates how to automate the lifecycle of IoT devices using infrastructure as code.
https://builder.aws.com/content/2iJVs17s7drNneJiB9GdYrNszWw/using-terraform-to-create-aws-iot-things

The CloudKitchens tech publication examines the powerful self-healing mechanisms built into Kubernetes. It highlights how features like readiness probes and replication controllers enable the creation of resilient, automated systems.
https://techblog.cloudkitchens.com/p/kubernetes-self-healing

Hwameistor is an HA local storage system for cloud-native stateful workloads.

https://github.com/hwameistor/hwameistor

This insightful article explores the complexities of managing long-lived connections within Kubernetes, offering solutions for ensuring they remain stable and reliable. The author delves into the technical challenges and provides practical examples to overcome them.
https://learnkube.com/kubernetes-long-lived-connections

Mark Tinderholt's latest blogpost provides a comprehensive walkthrough on setting up a Jekyll blog using Azure Static Web Apps and Azure Storage. This piece is a great resource for anyone looking to establish a low-cost and scalable personal website.
https://www.marktinderholt.com/infrastructure-as-code/terraform/azure/cloud/2024/10/24/setup-blog-jekyll-azure-storage.html

Kubernetes controller for GitHub Actions self-hosted runners

https://github.com/actions/actions-runner-controller

Library for managing git hooks

https://github.com/greenbone/autohooks

This new analysis from Honeycomb argues against the traditional use of incident severities, proposing a shift towards classifying incidents by type instead. It's a thought-provoking read that challenges common practices in incident management.
https://www.honeycomb.io/blog/against-incident-severities-favor-incident-types

If you've ever wondered what Helm is and why it's so popular in the Kubernetes ecosystem, this excellent guide has you covered. The text breaks down the fundamentals of the package manager and explains its core concepts in an easy-to-understand way.
https://glasskube.dev/blog/what-is-helm-in-kubernetes/

Ultra-lightweight Kubernetes

https://github.com/portainer/kubesolo

👀 A Kubernetes cluster resource sanitizer

https://github.com/derailed/popeye

In this detailed write-up, the team at incident.io shares their approach to assigning ownership for errors within their monolithic architecture. This post offers valuable insights into creating clear accountability and streamlining the debugging process.
https://incident.io/blog/organizing-ownership-how-we-assign-errors-in-our-monolith

This practical tutorial walks you through the delicate process of uninstalling Multus CNI from a Kubernetes cluster without causing major disruptions. Following these steps can help you avoid common pitfalls and ensure a smooth removal.
https://medium.com/spectro-cloud/how-to-uninstall-multus-cni-without-borking-your-k8s-cluster-3c3825cc1dab

🧨 Get data in & out of Redis with RIOT

https://github.com/redis/riot

🌀 An interactive fuzzy finder for the terminal

https://github.com/leo-arch/fnf

Meta's engineering team has published a fascinating report detailing how they built a cryptographic monitoring system capable of operating at a massive scale. The document discusses the architecture and the challenges they overcame to secure their vast infrastructure.
https://engineering.fb.com/2024/11/12/security/how-meta-built-large-scale-cryptographic-monitoring/