Application monitoring can identify a performance problem to the database. It won’t tell you which of the hundreds of queries running against it is worth your attention, or what to change once you’ve found it.
Unless someone on your team owns database performance full-time, that search becomes a bottleneck. Join us and Datadog for a live session on the path from trace to query to validated fix.
What you’ll take away:
- Where application monitoring ends and database visibility begins, and why a timed-out query is where most teams run out of recourse.
- Why optimization stalls: Prioritizing the queries worth fixing takes expertise most teams don’t have on hand, so the work waits for an incident.
- What separates a validated optimization from a plausible one, tested against a realistic version of your own workload.
- What changes when the queries worth fixing surface continuously rather than after an endpoint times out.
Why you should attend:
- The trace stops at the database. You know the database is at fault and still don’t know which query, or why.
- Slow isn’t down. Optimization loses to the roadmap until it becomes an incident.
- Nobody changes a production database on a hunch. Meanwhile AI-assisted development has pushed change volume past what any team can review by hand.
Your Speakers
Alex Weisberger Senior Software Engineer, Datadog
Alex works on the Database Monitoring team, where he helped build Bits Database Optimizations.
Sophie Bymark Product Marketing Manager, Datadog
Sophie is a Product Marketing Manager at Datadog focusing on Database Monitoring.
