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90daysofdevops

This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.

academy

DevOps content, classes and exercises

acing-the-cka-exam

resources from the book Acing the Certified Kubernetes Administrator Exam

anthos-samples

Anthos code samples

awesome-cloud-security

🛡️ Awesome Cloud Security Resources ⚔️

awesome-gcp-certifications

Google Cloud Platform Certification resources.

awesome-google-cloud

A curated list of awesome stuff for Google Cloud Platform.

awesome-learning

A curated list for DevOps learning resources. Join the slack channel to discuss more.

awesome-terraform

Curated list of resources on HashiCorp's Terraform

bank-of-anthos

Anthos sample application for retail banking

basicpy-cicd

beam

Apache Beam is a unified programming model for Batch and Streaming data processing.

bigquery-101

Google BigQuery demonstration used in talks and stories

books

cheatsheet-gcp-a4

:cloud: GCP gcloud, gsutil, etc.

ci-cd-full-content-notes

ci-for-data-in-bigquery

cka-lab-practice

cka-notes

My notes on the Certified Kubernetes Administrator (CKA) exam and how to prepare.

cloud-deploy-tutorials

cloud-foundation-fabric

End-to-end modular samples and landing zones toolkit for Terraform on GCP.

cloud-foundation-toolkit

The Cloud Foundation toolkit provides GCP best practices as code.

cloud-on-k8s

Elastic Cloud on Kubernetes

collabnix-dockerlabs

computer-networking

Free resources for a self-taught education in Computer Networking

copilot-docs

Documentation for GitHub Copilot

courses

data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

data-engineering-with-google-cloud-platform

Data Engineering with Google Cloud Platform, published by Packt

data-pipeline

Data pipeline is a tool to run Data loading pipelines. It is an open sourced app engine app that users can extend to suit their own needs. Out of the box it will load files from a source, transform them and then output them (output might be writing to a file or loading them into a data analysis tool). It is designed to be modular and support various sources, transformation technologies and output types. The transformations can be chained together to form complex pipelines.