Cloud migration project -- 2

Instructions and declarations: All the names mentioned here have no resemblance to any real person or organisation. They are fake and used for ‘gamification’ of this capstone project. Evaluation is through Rubrics which are mentioned as Question and Highlighted in yellow. Client Organisation Urban Sloth Food Delivery Highlights of the Organisation UrbanSloth is an up and coming unicorn in food delivery apps in India due to their ML engines being able to predict on time delivery of food and service quality they were able to penetrate the Indian market in an almost no time. Right now UrbanSloth holds the 3rd position among the top online food delivery apps in India. With the plan in place to expand their presence amongst other market in South Asia with global launch planned for coming years. Headed by Aryan Sethi graduate of UOP IT department along with his infrastructure team headed by Damini Pushkar who has been key person in designing infrastructure for hosting the application on the third party rented infrastructure, recently due to unexpected increase in the load on their application team has started exploring the options to migrate their application to the Public Cloud. Damini has been tasked with setting up the POC (Proof of Concept) to convince the management that their application is suitable for the cloud and any application can be easily migrated on the cloud without losing any data. Following are some tasks that Damini has assigned to you which would make or break the decision to migrate their application on to the cloud Task 1: Setup a sample staging server at on-premise data enter which makes use of python application along with backend database Note: You can use the Python web app – [login to view URL] available at the following link for reference. [login to view URL] OAe81GL7CBJnZmYf6N4d5v7gKG?usp=sharing Deploy sample Python web application on a local server along with MySQL as backend for storing sample database. – 10% Next step is to setup replica of existing POC on the cloud of your choice by creating separate VPC security group, private key pair to take remote access and then deploying the sample python webapp and the database server on the said server. The tasks in this step are: Task 2: Migrate the on-premise database onto the database server running on the cloud making sure of secure access to it. That is, for instance it need not be accessible from outside the VPC and should be accessible only from the EC2 instance where the Python application is installed. – 25% Task 3: On an EC2 instance, replicate all the dependencies and application libraries and configuration from the on-premise server where the Python application is set up. – 25% Task 4: Configure the application to run on normal http port instead of testing & development port 5000. – 25% Task 5: Set up auto-scaling with load balancer for the above application configuration. – 15%