Oracle Benchmark & Tuning Tips

As IT transforms to deliver services with more agility in the On-Demand Economy, it has to make fundamental changes. There are too many products to manage data, and the inconsistencies increase with multiple clouds. This keeps administrative load too high, limits workload portability, and makes governance across sites nearly impossible.

Datrium Automatrix is the first autonomous data platform to converge the five essential data services – primary storage, backup, encryption, mobility, and DR – with a consistent operating experience across multiple clouds.

It eliminates product sprawl, workload immobility, and siloed data management which removes the roadblocks to business agility while optimizing IT investment and mitigating risk.

 

The Datrium DVX system provides an ideal virtualization platform for building a modern, state-of-the-practice data center solution for database application services.

With the Datrium platform, it’s easy for companies to start as small as a single virtualization host with one database and then scale and cluster the instances as needed to meet the demands of their business growth.

Sometimes, when measuring infrastructure performance, resiliency, and availability for databases, the analysis can quickly get muddled with metrics that don’t usually resonate with business managers.

In this Oracle Single-Instance Database Benchmark and Tuning Practices report,  we demonstrate the Datrium platform capabilities, including data  protection and encryption running under strenuous real-world conditions, and we show how the same results attained during our tests can be obtained by Datrium customers using standard and widely available server hardware.

The benchmarks in this document incorporate Burn-in sustained Oracle database workloads, Burn-in with frequent Virtual Machine snapshots, and the Real-world effects of real-time inline end-to-end encryption.

Finally, the document also includes recommended tuning practices for achieving the best performance for Oracle Single-Instance Databases.