Cloud_project_3 - Openstack

This project is a part of course work CSE 546: Cloud Computing. Professor - Yuli Deng.

Team Members

• Bharath Kumar Bandaru - 1219442718
• Kaveri Subramaniam - 1222089687
• Shruti Pattikara Sekaran - 1222257972

Project Requirements

Software Requirements

Python3
Boto3 - AWS SDK for python
Flask - REST service
Flask_cors - Enable CORS for all routes.
Ec2_metadata - Metadata information regarding the instance.

AWS CLI

Install aws-cli from 
https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html

AWS Configuration.

Use command: aws configure
ACCESS_KEY_ID = ABCDEFABCDEF12345
SECRET_ACCESS_KEY_ID = AbcdEf1234/aBc123+ZxcvbQwErtFghJk12Z/v2
REGION = us-east-1
OUTPUT = JSON

PEM key file for SSH Access: cc.pem

Installing requirements

Download Python from https://www.python.org/downloads/

Installing openstack

git clone https://git.openstack.org/openstack-dev/devstack
./stack.sh (and wait for it to finish.)
Use the localhost ip address to access the openstack dashboard.

Installing packages:

boto3         : pip3 install boto3
flask         : pip3 install flask
flask_cors    : pip3 install flask_cors
ec2_metadata  : pip3 install ec2_metadata

AWS services details

URL for web-tier: http://<web_tier_appliation_dns>:5000/web-tier
The web-tier dns address will be displayed once the web-tier instance starts.
The m,d,y,H,M,S,f - are month, date, year, hours, minutes, seconds and milli second values.
at the time of creation. This makes sure that the queue names and bucket names are unique.
SQS Names:
    1. Request queue: request-queue-%m_%d_%y-%H-%M-%S-%f.
    2. Response queue: response-queue-%m_%d_%y-%H-%M-%S-%f.
S3 Bucket Names:
    1. Input bucket: input-bucket-%m-%d-%y-%H-%M-%S-%f.
    2. Output bucket: output-bucket-%m-%d-%y-%H-%M-%S-%f.

AWS EC2 image export

aws ec2 export-image --image-id <web-tier-image-instance> --disk-image-format VMDK --s3-export-location S3Bucket=<input-bucket-name>,S3Prefix=<path-to-the-bucket>

Running the application

Make sure to install all the requirements before running the application.
To start the application run the following command:
    python3 cloud_project3.py
    python3 opensource.py
To perform only teardown of aws resources run the following command:
    python3 cloud_project3.py teardown