Beginners Guide To AWS Cloud9

00:00 - Intro
00:19 - What is AWS Cloud9?
00:44 - Why use AWS Cloud9?
03:25 - When do we use AWS Cloud9?
04:26 - Hands on tutorial using AWS Cloud9

In this video we take a look at AWS Cloud9. We cover the basic concepts of AWS Cloud9 from a theory perspective. Before diving into the console for a hands on approach where we develop and deploy an AWS Lambda.

AWS Cloud9 is a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser. It includes a code editor, debugger, and terminal. Cloud9 comes prepackaged with essential tools for popular programming languages, including JavaScript, Python, PHP, and more, so you don’t need to install files or configure your development machine to start new projects. Since your Cloud9 IDE is cloud-based, you can work on your projects from your office, home, or anywhere using an internet-connected machine. Cloud9 also provides a seamless experience for developing serverless applications enabling you to easily define resources, debug, and switch between local and remote execution of serverless applications. With Cloud9, you can quickly share your development environment with your team, enabling you to pair program and track each other's inputs in real time.

😎 About me
I have spent the last decade being immersed in the world of big data working as a consultant for some the globe's biggest companies. My journey into the world of data was not the most conventional. I started my career working as performance analyst in professional sport at the top level's of both rugby and football. I then transitioned into a career in data and computing. This journey culminated in the study of a Masters degree in Software development. Alongside many a professional certification in AWS and MS SQL Server.

[singhsandeep]

Hey Johnny! Great video. If you find time can you please make a video on AWS DMS and Apache Hudi?

[Sam-]

HI Johny. How can i get an AWS S3 bucket to deploy code to

[vivekpuurkayastha]

Hi Johnny .. Great video ... Just a question.... How would you go about maintaining this code in Git Repo ... Also generally how do the Data Engineers maintain their code in Git ... If you could please elaborate on this... Thanks.