This is a web application Bill Management system built with spring boot and deployed on AWS
- EC2 instances are built on a custom AMI using packer
- Setting up the network and creation of resources is automated with Cloud formation, aws cli and shell scripts
- Instances are autoscaled with ELB to handle the web traffic
- Created a serverless application to facilitate "pending bills email" using SES and SNS
- The application is deployed with Circle CI and AWS Code Deploy
Infrastructure | VPC, ELB, EC2, Route53, Cloud formation, Shell, Packer |
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Webapp | Python, FLASK, POSTGRES, Boto3 |
CI/CD | Circle CI, AWS Code Deploy |
Alerting and logging | statsd, CloudWatch, SNS, SES, Lambda |
Security | WAF |
- Create the networking setup using cloud formation and aws cli
- Create the required IAM policies and users
- Setup Load Balancers, Route53, DynamoDB, SNS, SES, RDS, WAF
- The Bill Management System Web application is developed using Python Flask framework that uses the REST architecture
- Secured the application with Basic Authentication Security to retrieve user information
- Created pip3 dependencies to run the app locally and when deployed on AWS
- Storing the images of Bill and invoices in S3
- Generating Pre-signed URL using BOTO3 to with expiration of 60 minutes
Pre-Requisites: Need to have postman installed
- Clone this repository into the local system
- Go to the folder /webapp
- Download all pip dependencies by running "pip3 install -r requirements.txt"
- Run WebappApplication by typing python3 views.py or user forever manager to run it in backgroung
- Used python unittest and junit for load testing test case.
- Run WebappApplication test cases: python3 -m unittest test_app.py
- Created a webhook from github to CircleCI
- Bootstrapped the docker container in CircleCI to run the unit tests, integration tests and generate the artifact
- The artifact generated is stored S3 bucket and deployed to an autoscaling group.
- Created auto scaling groups to scale to the application to handle the webtraffic and keep the costs low when traffic is low
- Created cloud watch alarms to scale up and scale down the EC2 instances
- Created a pub/sub system with SNS and lambda function
- When the user request for a list of url to view pending bills within span of "c" days, send message is published to the SNS topic.
- The lambda function checks for the entry of the emails in DynamoDB if it has no entry then it inserts a record with a TTL of 15 minutes and sends the notification to the user with SES ![alt text]
- Implemented CI to build out an AMI and share it between organization on AWS
- Created provisioners and bootstrapped the EC2 instance with required tools like FLASK, cloudformation, Python
Name | NEU ID | Email Address |
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AMAN SHAH | 001059664 | [email protected] |