This article details how Bedrock Streaming, a European video streaming company, optimizes AWS costs through systematic FinOps strategies and achieves substantial savings on a multimillion-dollar annual budget.

• 100% Kubernetes worker nodes run on EC2 Spot Instances with automatic failover to on-demand
• AWS Graviton Processors provide 15-20% savings on RDS, ElastiCache, and OpenSearch instances
• VPC endpoints for S3 and DynamoDB eliminate NAT Gateway transit costs on high-traffic services
• Single-zone architecture redesign eliminated inter-Availability Zone transfer costs entirely
• Amazon DynamoDB TTL feature automatically expires obsolete data, reducing storage and backup costs
• S3 API call optimization through caching reduced costs by approximately 75%
• Amazon SQS batch message processing reduced deletion operation costs by 66%
• CloudWatch metrics collection rationalization reduced API call costs by 2.5 times
• DynamoDB table migration from on-demand to provisioned mode reduced costs by roughly 50%
• Cost tracking uses AWS Cost Explorer, Cost Anomaly Detection, and Cost Optimization Hub

Bedrock Streaming demonstrates that effective AWS cost optimization requires deep service understanding, continuous monitoring, and organizational culture shift where all teams share responsibility for infrastructure costs.