Query-level visibility with Data Observability
Your application hits the MySQL or PostgreSQL database thousands of times a day. Database Observability watches all of those hits. Then it gives your engineers the context to understand why, without needing a DBA to interpret it.
- See every query across all your databases: execution times, wait events, and error rates, aggregated or broken down by instance, schema, or table.
- Find the root cause faster: correlate database queries directly with application traces and infrastructure metrics without bouncing between tools.
- Drill into deep diagnostics: execution plans, table schemas, and index usage via visual explain plans, without needing DBA expertise.
- Get actionable optimization: AI Helper provides specific recommendations (composite indexes, query rewrites) with the exact SQL to implement them.
Try it out in Grafana PlayWhat keeps you up at night?
| Role / Worries | What you get with the app |
|---|
Developer- I follow the trace and it points to the database, then the trail stops
- I know something in the database is the problem, but I can’t tell which query, why it’s slow, or what changed
| - Query-level visibility shows exactly which queries are slow, how often they run, and what they’re waiting on
- Visual explain plans take you from “slow query” to “here’s what to fix” without needing DBA expertise
|
SRE, On-Call Engineer- During an incident in the early morning hours, infrastructure metrics look fine, traces point to the database, and the DBA is asleep
- No way to investigate the database layer myself
| - Query samples, wait events, and execution plans are available to any engineer, not just DBAs
- Correlate database queries directly with application traces so you get the full picture in one place
|
DBA, Platform Engineer- Every slow endpoint becomes a ticket for me
- Developers can’t self-serve through database problems, so I spend my time answering “which query is slow” instead of doing actual database work
| - Developers and SREs can investigate database performance independently
- AI Helper surfaces specific optimization recommendations (composite indexes, query rewrites) with the exact SQL to implement them
|
Engineering Manager, VP Engineering- Paying per host for database monitoring and the bill compounds every time we add an instance
- Still getting escalations because nobody can answer why a specific query is slow
| - Usage-based pricing: you only pay for active host hours and associated telemetry, not per host or container, so cost tracks usage, not fleet size
- Database performance in the same Grafana Cloud instance you already use, without a separate tool or contract
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