A reflection on our journey towards AWS Karpenter, improving our Upgrades, Flexibility, and Cost-Efficiency in a 2,000+ Nodes Fleet

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TL;DR: This article explores Kubernetes networking, focusing on Services, kube-proxy, and load balancing.

In this article, we’ll explore load shedding, which involves deciding which traffic to serve when you can’t handle all of it. The reason for having insufficient capacity can vary. We might face unexpected high traffic from a promotion, a malicious attempt to take our service offline, or maybe we’ve rolled out a change that doesn’t scale properly despite our best efforts to catch it in testing.

Understanding Kubernetes Endpoints and Endpoint Slices: A Comprehensive Guide

Story detailing how to investigate and fix ETCD db issues when using EKS. You will find out how I managed to completely break our EKS cluster because of overloaded ETCD.

Understanding Quality of Service Classes in Kubernetes: A Practical Example

Zeropod is a Kubernetes runtime (more specifically a containerd shim) that automatically checkpoints containers to disk after a certain amount of time of the last TCP connection. While in scaled down state, it will listen on the same port the application inside the container was listening on and will restore the container on the first incoming connection. Depending on the memory size of the checkpointed program this happens in tens to a few hundred milliseconds, virtually unnoticable to the user. As all the memory contents are stored to disk during checkpointing, all state of the application is restored.

Manage AWS services using Kubernetes

A little helper that pushes Helm Charts and images to your registries, easily configured with a declarative spec.

Contrast runs confidential container deployments on Kubernetes at scale.

prom-analytics-proxy is a lightweight proxy application designed to sit between your Prometheus server and its clients. It provides valuable insights by collecting detailed analytics on PromQL queries, helping you understand query performance, resource usage, and overall system behavior. This can significantly improve observability for Prometheus users, providing actionable data to optimize query execution and infrastructure.