LEARN Complete DEVOPS Pipeline with AWS

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Pranjal Srivastava

1:45:14

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1. Introduction

1. Introduction.mp4

02:29

2. Cloud 9

1. Cloud 9.mp4

04:01

2. Running flask application in Cloud 9.mp4

04:19

3. Deleting Cloud 9 environment.mp4

06:10

3. Optional- Creating Simple web application with Flask Python and SQLAlchemy

1. Setting up the virtual environment.mp4

02:51

2. Running flask application.mp4

05:12

3. Adding db instance into flask application.mp4

07:43

4. Adding CRUD functions.mp4

06:09

5. Adding HTML pages.mp4

05:28

4. Code Commit

1. Creating first code commit repository.mp4

05:25

2. Creating new branch and pushing content into it.mp4

03:44

5. Code Build

1. Code Build 1.mp4

09:04

2. Code Build 2.mp4

05:54

3. Code Build 3.mp4

06:31

6. Code Pipeline = Code Commit + Code Build + Code Deploy

1. Creating Source, Build and Deploy stage in AWS Code Pipeline Part 1.mp4

07:50

2. Creating Source, Build and Deploy stage in AWS Code Pipeline Part 2.mp4

04:59

7. Codestar=Code Commit+Code Build+Code Deploy+Code Pipeline+Cloud9+Cloud Formation

1. Codestar Part 1.mp4

04:21

2. Codestar Part 2.mp4

07:41

3. Codestar Part 3.mp4

05:23

Description

Learn AWS Developer tools like Code Commit, Code Build, Code Deploy, Code Pipeline, Code Star, Cloud 9 and much more

What You'll Learn?

Learn to build Continuous Integration Continuous Deployment pipeline
Learn to create AWS Code Commit repository
Learn to use AWS Elastic bean Stalk Service to quickly deploy application
Learn to create build spec YAML file for AWS Code Build
Learn to create AWS code pipeline from source stage to deploy stage
Learn to use Cloud 9, a web based IDE for writing up code
Learn to deploy AWS Code Star project and manage AWS different Developer Tools altogether from one interface
Add team members and manage team using AWS Code Star

Who is this for?

DevOps Engineers

Solution Architects

Software Engineers

IT Professionals

More details

Description
A Devops pipeline is set of automated processes and tools that the development (Dev) and operations (Ops) teams implement to build, test, and deploy software faster and easier.
In this course you will learn web development, continuous integration, continuous deployment, containerization, writing neat and quality code, DevOps concepts and much more with python programing language.
This learning path will cover different AWSÂ Developer tools services:
Code Commit to create and manage version control system. It is just like Github where you can host highly scalable private Git repositories.
Code Build to create build service for performing testing and generating artifacts and reports.
Code Deploy to deploy application on Elastic Beanstalk, EC2, ECS , EKSÂ and much more
Code Pipeline to create complete Devops Pipeline from source stage to deploy stage includes code commit, code build and code deploy
Code Star to quickly develop, build, and deploy applications on AWS on unified user interface, enabling you to easily manage your software development activities in one place.
Cloud nine is cloud based IDE to run and deploy application.
AWS CLI to control multiple AWS services from the command line and automate them through scripts
and much more.
This is the crash course is fully packed with useful hands-on covering the key concepts at the same time without wasting crucial time of developer like you.
Who this course is for:
DevOps Engineers
Solution Architects
Software Engineers
IT Professionals

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I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.I have authored 73 courses with over 102,000 students worldwide across 175+ countries on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.

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