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Vishal Mahesh Joshi's Projects

90daysofdevops icon 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.

ansible icon ansible

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.

ansible-examples icon ansible-examples

A few starter examples of ansible playbooks, to show features and how they work together. See http://galaxy.ansible.com for example roles from the Ansible community for deploying many popular applications.

ansible-palybooks icon ansible-palybooks

Ansible Palybooks Written and Published by www.server-computer.com. NO WARRANTY for any damages and loss of data.

aws-cli icon aws-cli

Universal Command Line Interface for Amazon Web Services

aws-demos icon aws-demos

A hands on repo with multiple demonstrations on AWS ๐ŸŽ“

devops-on-aws-code-build-and-test icon devops-on-aws-code-build-and-test

Exercise: Setting Up Your Development Environment In a production environment, you would normally create a customer managed policy in AWS Identity and Access Management (IAM). Customer managed policies provide more precise control over your policies than policies that AWS manages. This policy would then have permissions that are specific to the AWS resources you need. You would also attach this policy to a new user and log in to the AWS Management Console with that new user. However, because you are working in an exercise environment, those steps were omitted. In this exercise, you will start by creating an AWS Cloud9 environment for your development environment. In this environment, you will download and extract the source code that you will use in this course. You will deploy the applicationโ€™s backend infrastructure by using the AWS Serverless Application Model Command Line Interface (AWS SAM CLI). You will use AWS SAM to create all the resources that host the backend of the application: an Amazon API Gateway gateway, AWS Lambda functions, an Amazon DynamoDB table, and an AWS Step Functions state machine. You will also deploy the application frontend: a React web application thatโ€™s hosted on an S3 bucket, which acts as the web server. After the application is up and running, you will put the application under source control by using AWS CodeCommit.

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