A regional utility was spending most of its database team on patching and tuning instead of value work. We moved the estate to Autonomous Database, and routine DBA effort fell by 60%.
The utility ran a mix of Oracle databases that supported metering, billing, and outage management. A small team spent the bulk of its week on patching, backups, index tuning, and capacity firefighting, which left little time for the data work the business actually wanted. Every patch cycle carried risk, and tuning was reactive because nobody had the hours to get ahead of it.
They wanted to free the team from undifferentiated maintenance, keep the regulated workloads safe, and stop carrying the risk of manual patching, without giving up control of the data.
Autonomous Database took the repetitive maintenance off the team while leaving them in control of the data and the policy. The saving was in hours returned, not capability lost.
| Capability | Before | After on Autonomous Database |
|---|---|---|
| Patching | Manual, risky, scheduled around outages | Automatic, online, no planned downtime |
| Tuning | Reactive when something slowed down | Continuous and automatic, ahead of the problem |
| Scaling | Capacity planning by guesswork | Policy driven, follows the billing cycle |
| Backups | Manual verification each cycle | Automated with tested point in time recovery |
The managed run that sits behind a self managing estate.
See managed servicesWe anonymise every client by sector, but the method behind these results is the same one we would bring to your estate. Book an assessment and get a written plan with options and a price.