Medical Imaging Cloud Cost Optimization

Turn to the most experienced team for medical imaging solutions in the cloud.

Kickdrum Medical Imaging Optimization is based on hundreds of developer years working with medical imaging solution providers, migrating over $40M in annual AWS infrastructure spend. Our team has rebuilt and refactored DICOM platforms for cloud scalability, reliability, and cost optimization.

What to Expect

Kickdrum uses a combination of automated tools and manual analysis to identify areas for optimization in your cloud imaging solution. We review application bottlenecks and cost drivers including transcoding, transfer and storage in addition to AWS expenses including storage, Reserved Instances, and Savings Plans.

How It Works

Kickdrum meets with your team for a series of interviews to understand the architecture and design of your imaging solution, and develops recommendations to reduce AWS costs through modernizing components not optimized for cloud economics. In addition, we apply traditional cost optimization techniques using tools such as AWS Cost Explorer and Cost and Usage Reporting to identify which services are driving your cloud spend.

From these inputs, our team recommends projected savings opportunities and outlines the cost to implement suggested changes.

What You Learn

Kickdrum recommendations include AWS cost management, application re-architecture, and service optimization, with past optimizations including: Transcoding server modernization - decreasing costs by increasing performance, resulting in faster transcoding and lower instance usage hours

• Load balancing optimization
• Storage optimization, including both S3 and EBS volumes
• Image receipt and ingestion, including data transfer and S3 API optimization
• Worklist management solution modernization
• Resource scheduling
• Traditional AWS cost optimization, including Reserved Instances and Savings Plans recommendations