Within months of implementation, there was a visible degree of scalability in the client system, which hampered its performance. The data analysis speed increased by 2X.
A dedicated server would have cost more during the spike season because server capacity had to be added in terms of compute and storage. But our suggestion and implementation helped the company save a lot of money. The tools that we used to build the product included AWS EC2, Lambda, S3, RDS and DynamoDB.