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gn's Projects

9stepsawesome icon 9stepsawesome

The exercises/samples repo for bit.ly/9stepsawesome presentation

awesome-sysadmin2 icon awesome-sysadmin2

A curated list of amazingly awesome open source sysadmin resources inspired by Awesome PHP.

charts icon charts

Curated applications for Kubernetes

cka-handy-notes icon cka-handy-notes

Handy notes for the Certified Kubernetes Administrator certification based on my personal learning.

cka_lab icon cka_lab

Laboratory environment for "Certified Kubernetes Administrator (CKA)" Linux Academy course

ckad-exercises icon ckad-exercises

A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation

computer-science-flash-cards icon computer-science-flash-cards

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

data-structures-algorithms-python icon data-structures-algorithms-python

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

ddev-labs icon ddev-labs

Labs for the workshop Docker for Enterprise Developers

devops-exercises icon devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

kubelabs icon kubelabs

Kubernetes - Beginners | Intermediate | Advanced

kubernetes-certified-administrator icon kubernetes-certified-administrator

Online resources that will help you prepare for taking the CNCF CKA "Kubernetes Certified Administrator" Certification exam. with time, This is not likely the comprehensive up to date list - please make a pull request if there something that should be added here.

ml-roadmap-for-2022 icon ml-roadmap-for-2022

A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months

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