Kubernetes (commonly referred to as “K8s”) is an open source system for automating deployment, scaling and management of containerized applications originally designed by Google and donated to the Cloud Native Computing Foundation. It aims to provide a “platform for automating deployment, scaling, and operations of application containers across clusters of hosts”. It supports a range of container tools, including Docker.
Checks whether Kubernetes is deployed according to security best practices as defined in the CIS Kubernetes Benchmark
The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC
Consul is a distributed, highly available, and data center aware solution to connect and configure applications across dynamic, distributed infrastructure
kctxsync is a command-line tool to sync certificate and key data from a remote Kubernetes cluster's kubeconfig to your local kubeconfig
Microservices web app that allows users to buy and sell event tickets online using Stripe
GreatSQL Operator for MySQL based on MySQL Group Replication Cluster
This repository contains the code and configuration files for setting up Karpenter on an existing Amazon EKS cluster, as described in the blog post
Real-time network & syscall monitoring tool for Linux systems and Kubernetes clusters
Ansible playbook for a kubeadm-based Kubernetes cluster installation on Linux (Red Hat, Debian, and SUSE-based distributions) with a single control plane node and multiple worker nodes for development and testing purposes
Helps you resize pods created by a DaemonSet depending on the amount of allocatable resources present on the node
My work towards better understanding how the FaaS paradigm can be adapted for Edge-Cloud environments for improving distributed, containerized ML inferencing workflows
Online Store Microservices is a scalable architecture for an online retail platform, built with Go, Docker, and Kubernetes
A Go REST API boilerplate emphasizing clean architecture, thorough testing, and flexible deployment options (Docker, Kubernetes, Serverless)