The client is a major solutions provider in financial/technological sectors with global recognition. They comprise several teams structured to work in different domains of software development including support, implementation, development, quality assurance, report development, technical writing, and much more. Their journey has been innovative with an explicit focus on the emerging market requirements.
Pluto7 is a tech services and solutions company, specialized in Smart Analytics, Artificial Intelligence, and Machine Learning. With unique capabilities for helping the organizations in different domains to leverage Machine Learning, Artificial Intelligence, and analytics on Google Cloud, we have delivered many complex predictive analytics solutions. We are among the top 1% of the Google cloud partners worldwide. Having worked with multiple industries, Pluto7 has a rich experience in understanding the challenges and solving global-scale problems.
The client provides solutions/software to banks across the globe. Keeping in mind the data security and integrity, banks prefer to keep their data within their geographical locations.
However, in this case, the workloads are served from the machines hosted out of the region due to the unavailability of proper infrastructure within the region where the customer was located.
The main objectives were:
Our team proposed the client to migrate to a GCP architecture, having a virtual private cloud for their infrastructure as security was a major concern for them. Our goal was to set up private subnets for the client to keep their database in those subnets so that the outside world has no access to their data. Setting up security groups solved the problem of data security for the client.
The client has an inbuilt three-tier application system, including the app server, web servers, and database server for which they wanted a firewall restriction for the incoming traffic. Pluto7 assisted the client in deploying their applications on GCP by creating the virtual machines for them. On the security front, our team worked on firewall restrictions and assigning policies.
By building up the GCP architecture, the client was able to work on the cost efficiency front while establishing a robust and secure infrastructure. Leveraging Google Cloud, the data can be accessed in a trouble-free and secure manner. There was a notable cost saving in infrastructure setup, of approximately 15-20% by setting up the Virtual Machines on Google Cloud as a result of attaching the load balancer.