How Foundation AI Optimized Amazon RDS
for Performance & Cost Efficiency
Overview
Foundation AI is an AI-powered automation company helping enterprises streamline document-intensive workflows across legal, healthcare, and financial services. Their platform leverages machine learning and intelligent document processing to transform unstructured data into actionable insights.
As a cloud-native company, it relies heavily on AWS services such as Amazon RDS and WorkSpaces to deliver secure, resilient, and high-performance platforms to its customers.
Challenges
Foundation AI's mission-critical workloads depend on Amazon RDS for reliable database performance. However, the company’s engineering teams faced recurring challenges in managing production databases effectively.
These challenges created unnecessary incidents, reduced customer confidence, and hindered scalability.
The Solution
Foundation AI partnered with CloudKeeper leveraging the Partner-led Support service to optimize database performance, addressing RDS stability and performance issues. The following measures were taken:
Used AWS CloudWatch and custom instrumentation to monitor query patterns, memory consumption, and performance bottlenecks.
Adjusted critical database parameters to improve query execution efficiency. Enhanced resource allocation strategies were designed to ensure optimal memory utilization.
Recommended and implemented right-sized RDS instances aligned with workload requirements. This reduced the risk of over-provisioning while lowering unnecessary costs.
Proactive RDS optimization not only stabilized Foundation.ai’s core infrastructure but also delivered measurable improvements across performance, reliability, and cost efficiency. By addressing configuration gaps, eliminating bottlenecks, and right-sizing resources, the system is now better equipped to maintain consistent performance and offer a more reliable customer experience.
RDS performance bottlenecks were eliminated, ensuring consistent uptime.
Memory utilization dropped substantially, resulting in faster query execution and better customer experience.
Prevented downtime and stabilized production workloads.
Achieved savings through smarter resource allocation and right-sizing.
Through CloudKeeper’s Partner-led Support, Foundation AI transformed its Amazon RDS environment into a stable, high-performance, and cost-efficient backbone for its mission-critical workloads. With optimized configurations, improved governance, and proactive performance management, the company strengthened customer trust and operational resilience.
By ensuring a faster, more reliable, and scalable database layer, Foundation AI is now better positioned to support its rapidly growing user base and continue delivering intelligent automation solutions with confidence.
Speak with our advisors to learn how you can take control of your Cloud Cost
