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🤔 What happens when I type kubectl run?
This is a collection of resources that shed light on the inner workings of Kubernetes
Our Command Line Interface (CLI) for interacting with your Civo resources
Competitive Programming & System Design Resources.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Bootstrap Kubernetes the hard way. No scripts.
Curated resources help you prepare for the CNCF/Linux Foundation CKS 2021 "Kubernetes Certified Security Specialist" Certification exam. Please provide feedback or requests by raising issues, or ma…
Intro to Kubernetes Workshop
Links and resources for the O'Reilly Kubernetes Security book
📚Open Source Curriculum for CNCF Certification Courses
Kubernetes v0.1.0 with Prebuilt Binaries & Tutorial
All the resources you need to get to Senior Engineer and beyond
Production-Grade Container Scheduling and Management
Apache OpenWhisk is an open source serverless cloud platform
Kubebuilder - SDK for building Kubernetes APIs using CRDs
logicalhan / xpk
Forked from AI-Hypercomputer/xpkxpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerators such as TPUs and GPUs on GKE.
vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it …
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
❤️ 1000+ Hand-Crafted Go Examples, Exercises, and Quizzes. 🚀 Learn Go by fixing 1000+ tiny programs.
Repo for the controller-runtime subproject of kubebuilder (sig-apimachinery)
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Introduction to Machine Learning Systems
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning