Overview
Traditional database managed services are reactive by design. A problem happens, an alert fires, a DBA logs in, and the fix begins. Even with fast SLAs, the customer has already felt the pain by the time anyone responds.
Viscosity AI Powered DBA flips that model on its head. We layer machine learning and LLM powered analysis on top of our 24/7 managed DBA service so problems get predicted before they happen, root causes get identified in seconds instead of hours, and SQL tuning recommendations come from models that have been trained on your actual workloads.
- AI driven anomaly detection
- LLM powered incident triage
- Autonomous SQL tuning
- Predictive capacity planning
- 24×7 senior DBA coverage
- Named engineer on your account
Why This Matters
Database workloads are more complex than they have ever been. Cloud bills are exploding. Downtime is more expensive than at any point in the history of enterprise computing. And the traditional one DBA per database model simply does not scale with modern enterprise estates.
By running AI continuously across your telemetry, logs, SQL execution plans, and wait events, we catch problems your monitoring tools do not even know exist. We turn the mountain of telemetry that overwhelms most teams into actionable insight that actually drives decisions.
Your Path Through AI DBA
Standard Managed
Traditional human led 24/7 DBA service. The proven baseline every Viscosity customer receives.
AI Augmented
The full AI stack on top of standard service. Most customers upgrade here for measurable performance gains.
Autonomous Ops
AI handles routine work with human oversight. Best for mature estates with high transaction volumes.
Why Viscosity Technology
We do not bolt AI onto somebody else’s monitoring product and call it a new service. Our AI layer is tuned specifically for Oracle workloads by engineers who have been patching Exadata and tuning SQL since long before machine learning became a marketing phrase.
You get the pattern recognition of modern AI plus the judgment of senior DBAs who have seen what happens when you trust the model too much.
Who This Is For
This service fits organizations already running 24/7 managed database services who want to get more proactive value out of them. It fits teams running large Exadata, Oracle Database Appliance, or RAC estates where manual monitoring has clearly hit scale limits. It fits companies where database performance directly affects revenue. And it fits CTOs who need to answer the question “what are we actually doing with AI” with a concrete and measurable answer their boards will respect.