AI-assisted monitoring & predictive analytics
Find the problem before it pages someone.
Our monitoring learns what normal looks like for each database, flags what drifts from it, gathers the diagnostic evidence automatically, and forecasts capacity and performance limits weeks ahead. An engineer reviews every finding before anything changes.
Custom built for every customer. Each monitoring system is written for your databases and your environment, and you keep all of the code, models, and documentation we deliver.
Collect
Read-only scripts gather AWR, ASH, and wait-event data from Oracle, and the equivalent statistics from PostgreSQL, MySQL, and Aurora, on a schedule the program office approves.
Compare to baseline
Each metric is scored against a rolling 7-day baseline that accounts for time of day and day of week.
Flag and drill down
Deviations are ranked by impact, and diagnostic scripts run automatically: top SQL, plan changes, blocking, I/O hot spots.
Explain with AI
AI correlates the evidence and drafts a plain-language finding and recommended fix for an engineer to verify.
Forecast
Trend models project storage growth, capacity headroom, and response-time drift so upgrades are planned, not rushed.
Works inside the tools you already run
No new console to learn. Baselines, anomaly flags, findings, and forecasts are published as metrics, events, and alerts into your existing monitoring platform, so operations teams see them where they already look.
- Oracle Enterprise Managermetric extensions and incident rules
- Grafanadashboards and alerting
- Datadogcustom metrics and events
- Prometheusexporter endpoints
- Splunkevent ingestion and searches
- Your ticketing or on-call toolfindings routed as tickets or pages
AI never gets direct access to the database. It works only from the metric and diagnostic output our scripts produce, never from application data, and it runs with whatever AI service your agency’s policy permits.
Have a requirement, an RFI, or a teaming opportunity?
Tell us the system, the deadline, and what “fixed” looks like.