New Serverless Architecture Cuts Database Costs by 90% Using AWS Glue and S3 Storage
Summary
Revolutionary serverless architecture eliminates traditional databases by leveraging AWS Glue, Amazon Athena, and S3 storage to slash infrastructure costs by 90% while enabling direct CSV file querying through Power BI dashboards with automated event-driven processing.
Key Points
- A new serverless architecture eliminates traditional databases by using AWS Glue for data cataloging, Amazon Athena for SQL querying, and Power BI for visualization, allowing analytics dashboards to query CSV files directly from S3 storage
- The solution reduces infrastructure costs dramatically through Athena's pay-per-query model at $5 per TB versus expensive always-on database instances, while maintaining S3 as the single source of truth for all data operations
- Implementation involves event-driven processing where new CSV files trigger automatic catalog updates via Lambda functions, creating partitioned data structures that enable Power BI to connect through standard ODBC/JDBC drivers