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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.

agent-grafana

Vendor-neutral programmable observability pipelines.

awsekspoc

composetest

Get started with Docker Compose

dalai

The simplest way to run LLaMA on your local machine

demo-eks-cluster

A custom AWS EKS Module for demonstration purposes

devops

This repo contains all my learning related to DevOps

devopslab-helloworld

Aplicação criada para exemplificar o Ciclo de uma PipeLine DevOps

devopstools

Install DevOps Tools - Shell Script

docker-elastic-observability-with-apm

Docker compose setup of an observability use case. Reporting metrics and traces from a nodejs app to Elasticsearch using APM Server using APM RUM and APM Node.js agents.

dynatrace-dashboards

elasticsearch

Free and Open, Distributed, RESTful Search Engine

env-sandbox-1

ezops-test-edson.santos

flask-vue-kubernetes

kubernetes-and-docker-the-complete-guide

Kubernetes and Docker: The Complete Guide, published by Packt

kubernetes-workshop

lake

DevLake: the open source data lake & dashboard for your DevOps tools.

learning_logs

module-argo-cd

module-aws-kubernetes

module-aws-network

A simple Terraform based AWS network module from the book Microserivces Up and Running

newanigram-infrastructure

nextjs-playground

Production grade React applications that scale? Let's see it!

openvpn-install

OpenVPN road warrior installer for Debian, Ubuntu and CentOS

pipelines-python-django

Sample Python Django application for Azure Pipelines docs

python-sample-vscode-flask-tutorial

Sample code for the Flask tutorial in the VS Code documentation

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

teste-api

tiny_python_projects

Code for Tiny Python Projects (Manning, 2020, ISBN 1617297518). Learning Python through test-driven development of games and puzzles.