Testing of Ready Bundle for Oracle shows that the database solution can scale well, support multiple workload types, and enable aggressive consolidation of the enterprise’s ecosystem. Scalability is essential as databases grow in size and number over time. In both the small and medium configuration, testing has shown that both systems can start with just a few databases and increase to 3 to 5 times their size without impacting latency.
Today’s consolidated datacenters must demonstrate the ability to support multiple types of workloads. The capability to consolidate types of workloads enables the business to remove dedicated silos that increase complexity and costs. Testing of Ready Bundle for Oracle has proven this database platform can easily support different types of workloads.
Consolidation of databases to fewer servers can result in a significant savings for the business. Lower operating and capital expenditures are just of a few savings vehicles. Ready Bundle for Oracle has been verified to support 10 Oracle RAC databases in the small configuration and 25 RAC databases in the medium configuration under realistic workloads. Even the most aggressive testing resulted in unused resources that could host even more databases.
The small configuration included two PowerEdge R740 servers and a VMAX 250F array. Here is a review of the results of use case 5, in which the workload on two production OLTP RAC databases, six development OLTP RAC databases, and two OLAP RAC databases ran in parallel:
Figure 58 illustrates these results.
Figure 58. Small configuration dashboard
The medium configuration included two PowerEdge R940 servers and a VMAX 250F array. Here is a review the results of use case 5, in which the workload of five production OLTP databases, fifteen development OLTP databases, and five OLAP databases ran in parallel:
Figure 59 illustrates these results.
Figure 59. Medium configuration dashboard
Validating Ready Bundle for Oracle has shown the value of the database platform. It provides the foundation to standardize and manage small to medium database ecosystems with proven performance.