How do I scale an Autonomous Database?

Traditionally database deployments have been designed and provision for the peak possible workload. And in reality, a substantial margin of safety was also provisioned on top of that in order to make sure the system could cope with any unforeseen demands.
But peak workloads tend to occur infrequently, leaving most of this costly capacity idle the majority of the time.

In order to enable customers to pay for only the resources they need, Oracle Autonomous Database allow customers to elastically adjust their compute and storage resources when necessary.

An Autonomous Database can be scaled through the UI as shown in the video below or via our cloud APIs or CLI commands. In the video you see how I can scale an 2 CPU  configuration to an 8 CPU configuration in under a minute  to accommodate 48 concurrent users running a JSON workload.

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OpenWorld 2019 Wrap Up

I can’t believe Oracle Open World is done for another year.

But what a great conference it was for those interested in the Oracle Database. We saw the introduction of Oracle Database 20c and of course the continuing evolution of the Oracle Autonomous Database with details on new deployment option (Dedicated) and new flavors (Document Store).

If you weren’t able to make it to OOW in person, don’t panic as a lot of the session presentations are now available for download in the OOW session catalog. You can download the slides by clicking the down arrow on the right-hand side of each session title as shown below.

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