Cloud Cost Optimisation
About the Client:
The Client is an electricity management company that takes care of the energy needs of Texans. The company evaluates thousands of plans to find the one that best aligns with your usage and will save you the most.
Services:
Industry:
The Need:
For several years, the Client has heavily relied on AWS, but with the company’s infrastructure rapidly expanding, it became crucial to ensure that costs didn’t expand just as quickly. The company’s infrastructure needed to be modernized and dynamically scaling up and down in response to changing demands, making traditional cost management approaches that rely on manual and reactive processes impractical.
Tring’s Approach:
Pain points related to infrastructure, applications, and monitoring
Areas that can be retooled or modernized to meet the security goals
Areas that can provide automation for system scaling to meet future demands
Automating deployment efforts that allow for improvements in the speed, execution, and debugging of development efforts
Gaps in the current architecture
Outcome (90-day-assessment):
Reduced the cost by 40% without any code changes.
Increased the security benchmark score from 37 to 80.
Databases and DWs were data modeled for higher performance.
Moved the data warehouse to serverless from cluster based.
Optimized data backups and archived 500GB of data to reduce cost and improve performance.