Is your database driving up cluster costs? Many software development teams pull more data into memory than their applications require. Inefficient or completely missing indexes can trigger massive collection scans, cause excessive document reads, and drive unnecessary compute usage. Fortunately, you can eliminate these hidden resource leaks.
In our recent webinar, we explored how to audit your query patterns and eliminate index bloat. We also showed how to evaluate your current database configuration, identify shared query components, and leverage automated diagnostic tools to design a highly optimized data layer.
Key takeaways:
- Stop wasted bytes read: Learn how to use Atlas Performance Advisor to pinpoint exactly where redundant document scanning is draining your cluster memory and compute resources.
- Implement the ESR guideline: Master the precise sequencing of equality, sort, and range fields in compound indexes to make your multi-field queries as efficient as possible.
- Reclaim RAM and storage: Discover how dropping unused or overlapping indexes minimizes background write overhead while freeing up critical system memory.
This session is now available on demand. Watch it now to learn practical strategies that improve database execution times and lower cloud infrastructure bills. Be sure to check out the Q&A session at the end where we discuss how to troubleshoot your scaling and optimization bottlenecks.
