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Our client, a biotech research company, was incurring high monthly costs on AWS due to a complex and over-engineered cloud infrastructure for their needs.
Although our primary engagement with the client focused on other services, during our analysis of their infrastructure, we identified areas for significant cost savings because of our discoveries.
Through a thorough cost analysis and infrastructure redesign, our team implemented AWS cost optimization best practices and were able to successfully cut our client’s monthly AWS spending by almost 60%, saving them nearly $8,000 per month.
During the analysis phase, we discovered that our client's AWS setup included over 10 accounts, multiple virtual machines, and complex communication paths between their on-premise labs and the cloud.
These configurations resulted in high transactional and data transfer costs and an inefficient setup that lacked essential AWS cost optimization tools and cost management in cloud computing best practices.
Key Issues:
Over-provisioned virtual machines consuming minimal resources
High data transfer costs due to redundant firewalls and excessive account separation
Lack of lifecycle policies in S3 storage, leading to costly “hot” storage use for infrequently accessed data
We developed a detailed cost optimization strategy that addressed the infrastructure inefficiencies and applied AWS cost optimization best practices. Here’s a breakdown of the key actions we took:
Through this comprehensive approach, our client’s monthly AWS costs decreased from about $14,000 to almost $8,000—an approximate 60% reduction achieved through AWS cost optimization best practices. This success demonstrates the impact of careful cost management in cloud computing, resource efficiency, and strategic infrastructure redesign.
Additionally, the changes we implemented provided long-term scalability and cost-efficiency, allowing our client to maintain high-performance lab operations while keeping cloud expenses under control.
Integrant partnered with our client to optimize their cloud infrastructure, resulting in substantial cost savings and a more streamlined, efficient environment.
By thoroughly assessing their existing setup, addressing resource inefficiencies, and implementing proven cloud architecture practices, we supported our client in achieving their operational goals while significantly reducing their cloud spending.
This case highlights the importance of AWS cost optimization tools and routine infrastructure assessment in maintaining cost-effective, efficient cloud environments.
Do you need help with analyzing your AWS infrastructure? Contact us to start a conversation.
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