The document outlines best practices for attending Knolx sessions, emphasizing punctuality, constructive feedback, and minimizing distractions. It provides an overview of continuous deployment and AWS CodeDeploy, detailing its components, deployment types, advantages, and disadvantages. A demo section includes step-by-step instructions for setting up AWS CodeDeploy for application deployments.

1. Presented By: Deeksha Tripathi
AWS CODEDEPLOY

2. Lack of etiquette and manners is a huge turn off.
KnolX Etiquettes
Punctuality
Respect Knolx session timings,
you are requested not to join
sessions after a 5 minutes
threshold post the session start
time.
Feedback
Make sure to submit a
constructive feedback for all
sessions as it is very helpful for
the presenter.
Silent Mode
Keep your mobile devices in
silent mode, feel free to move
out of session in case you need
to attend an urgent call.
Avoid Disturbance
Avoid unwanted chit chat during
the session.

3. Agenda
01 What is Continuous Deployment
02 What is AWS CodeDeploy
03 Components of AWS Code Deploy
04 Deployment Types
05 Advantages & Disadvantages
06 Demo

4. Continuous Deployment
Continuous deployment is a strategy in software development where code changes to an
application are released automatically into the production environment.
This automation is driven by a series of predefined tests.
With this practice, every change that passes all stages of your production pipeline is released to
your customers.
Key Elements :
● Deploy to production
● Testing and verification
● Monitoring
● Response and Recover

5. What is AWS Code Deploy
● AWS CodeDeploy is a fully managed deployment service that
automates software deployments to a variety of compute
services such as Amazon EC2, AWS Fargate, AWS Lambda,
and your on-premises servers.
● CodeDeploy has the ability to deploy content within the
application that is present in many locations.
● CodeDeploy works with various systems for configuration
management, source control, continuous integration,
continuous delivery, and continuous deployment.

6. Components of AWS Code Deploy
● Application
● Compute platform
● Deployment configuration
● Deployment group
● Deployment type
● IAM instance profile
● Revision
● Service role
● Target revision
● Other components

7. Deployment Types
● In place Deployments:
The application on each instance in the deployment group is stopped, the latest application
revision in installed, and the new version of the application is started and validated .
● Blue-green Deployments:
A blue/green deployments helps in re routing the traffics from your application’s original
environment to a replacement environment .

8. Features of AWS CodeDeploy
● It can be used to deploy applications which require servers (traditional applications), applications
which are server less, and applications such as Amazon ECS (container applications).
● CodeDeploy is a fully managed, automated service which automatically deploys the user
application in development, test and production environments.
● It is highly scalable with the user infrastructure and can be used to deploy one or thousand
instances.
● CodeDeploy is an easy to use, and easy-to-adopt platform that works with any application. The
setup code can be conveniently reused.

9. Advantages & Disadvantages
❖ Advantages:
● Server , serverless & container application
● Automated Deployments
● Minimize Downtime
● Stop and roll back
● Centralized control
● Easy to adopt
● Concurrent Deployments

10. Advantages & Disadvantages
❖ Disadvantages:
● Struggles When Dealing With Multi-Tier Applications
● Limited Deployments Available
● Better Code Deployment service Exists

11. Demo Example

12. Demo

13. Steps For The Demo
STEP 1 - created a role for ec2 code deploy
STEP 2 - Create code deploy role
STEP 3 - create instance and add user data
///
#!/bin/bash
sudo yum -y update
sudo yum -y install ruby
sudo yum -y install wget
cd /home/ec2-user
wget https://aws-codedeploy-ap-south-1.s3.ap-south-1.amazonaws.com/latest/install
sudo chmod +x ./install
sudo ./install auto
sudo yum install -y python-pip
sudo pip install awscli
///
STEP 4 - next go to code deploy and go to applications and create an app
STEP 5 - next create deployment group
STEP 6 - next click on the codepipeline and create a codepipeline
STEP 7 - After the codepipeline push your changes to github.

14. Thank You !