Amazon EMR on EC2 cost optimization: How a global financial services provider reduced costs by 30%

This article discusses how a global financial services provider reduced their Amazon EMR on EC2 and related AWS costs by 30% after migrating from on-premises infrastructure. They followed a lift-and-shift approach initially, leading to higher-than-expected costs, but then implemented various cost optimization strategies.

Specifically, the article covers:

• Background on the provider's migration from on-premises to AWS, including clusters, applications, and data
• Challenges faced with suboptimal configurations and resource overprovisioning leading to high costs
• Short-term strategies like auto-termination policies, managed scaling adjustments, and storage class optimization
• Longer-term strategies including a financial hackathon to test configurations, Spot Instances, Graviton instances, and cost tracking
• Overall results of a 30% cost reduction through collaborative efforts and data-driven optimization