Cloud Migration assitant is a tool developed in WPF ( VC#) and was developed to predict the deploybility of Java and .net based projects to Different cloud system. The tools scans the Technology stack and other factors of an exsiting system and give each paramter weightage based on the business rules.  The final report is genrated based on these parameters and predicts the deploybility of the applications in different cloud systems.

Ally Bank is UK Based Online Banking company caters the worldwide set of customers for Loan Finance and Mortgage.  The exsiting Ally Bank Website was receiving 1.5 Million clicks per week from the customers across the globe making the legacy system incompatible with the current work load. The Parameters like Availability and Fault tolerance were also major pain points for the Customer.  Ally came us to deploy their current system into the cloud with two flavours of the deployment into cloud one in AWS and another into Openshift.

Solution : Me and My cloud team came up with the Architecture diagram on each of the AWS and Openshift deployment model to deploy the exsiting system to the cloud. The proof of concept has deployed BITS and database modules and final deployment is done in a span of one and half months. The Major area of focus was Serverless computing.

Services Used : 

AWS API Gateway,  AWS Lambda , AWS RDS ,AWS VPC and AMI, AWS cloud formation

Challages experienced and resolved : Issues with AWS toolkit for IDE for different Access Keys and Secret Keys for multiple subaccounts created under one AWS account.

ITRS is an online reconciliation system.  The project takes the help of the reconciling based on the customer input and store the reconciling related information to a NAS databse and information to a PostGre SQL database.

The customer’s ask was to develop a cloud system which could deploy the complete ITRS system to the cloud each of one version in AWS and AZURE.

Solution:My team has architecured and deployed the complete application in both the cloud system i.e. AWS and Azure. Different processor services were deployed along with IMQ service to the AWS EC2 and RDS instances.  S3 Buckets are used to store the files which stores the file to store the reconciliation information.

Services Used : 

Amazon Web Services :AWS EC2, S3, AWS Load balancer, VPC , EC2 Security Groups and RDS.

MS-Azure                        :Azure Load Balancer, Availibility Sets, VM with prime storage, SQL

Challages experienced and resolved : There were latency issues while deploying PostGre SQL database to the AWS RDS, However the issue could be resolved with the introduction of High IOPS RDS instances.

This project was revolving around the deployment of a renowned US based electrical company's WebApps and Databases in to AWS and Azure cloud environment.  The WebApps and Databases were the part of PaaS and was deployed in to the cloud outside of VNet/ VPCs.  The AWS based and Azure based VPCs and Vnets were containing CI/CD tools and Jump servers. The Azure Gateway/ Amazon API gateway was reciving incoming traffic and then processed by the Apps.  For network secrity the PaaS layer is secured by Palo-Alto firewall.