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Figure 3 displays the combined results of the DataStax Enterprise benchmark tests for the read-intensive, write-intensive, and balanced read/write scenarios on the Red Hat OpenShift cluster, while Figure 4 displays the same results for the VMware Tanzu cluster running on SATA SSDs. The x-axis displays the total throughput in operations per second performed during each test’s 10-minute run, while the y-axis displays the mean latency in milliseconds for each operation during the run.
The Red Hat OpenShift cluster test consisted of five test runs for each read-intensive, write-intensive, and balanced read/write scenario. Each data point on the chart represents a test run with a specific number of client threads that simulate client loads. The number of client threads for each test run were:
Figure 3 shows that latency moderately increased for the 90 percent read/10 percent write scenario, while the latency dramatically increased during the mixed 50 percent read/50 percent write (balanced read/write) and 10 percent read/90 percent write scenarios as the number of client threads increased. The maximum operations per second occurred with the 90 percent read/10 percent write workload at 49,433 with 640 client threads.
The VMware Tanzu cluster test consisted of five test runs for each read-intensive, write-intensive, and balanced read/write scenarios. As with the Red Hat OpenShift tests, each data point on the chart represents a test run with a specific number of client threads that simulate client loads. The number of client threads for each test run were:
Figure 4 shows latency moderately increased during the mixed 50 percent read/50 percent write (balanced read/write) and 10 percent read/90 write scenarios, while the latency increase was slightly higher during the 90 percent read/10 percent write scenario. The maximum operations per second occurred with the 10 percent read/90 percent write workload at 115,817 with 576 client threads.