High Performance, Hyperconverged.
How can database density be measured? How does database performance behave as more DBs are consolidated? What impact does running the CVM have on available host resources? tl;dr The cluster was able to achieve ~90% of the theoretical maximum. CVM overhead was 5% for this workload. Experiment setup The goal was to establish how database…
Read More →Nutanix X-Ray is well known for being able to model IO/Storage workloads, but what about workloads that are CPU bound? X-Ray can run Ansible scripts on the X-Ray worker VMs, and by doing so we are able to provision almost any application. For our purposes we are going to use Postgres DB and the built-in…
Read More →In this video I migrate a Postgres DB running PGbench benchmark. The DB is running on a Host which is CPU constrained. Once the VM is migrated to a less busy host the transaction rate immediately increases from ~15,000 to ~20,000. As the DB continues to run on the new host – the Nutanix storage…
Read More →Following on from the previous [1] [2] experiments with Postgres & pgbench. A quick look at how the workload is seen from the Nutanix CVM. The Linux VM running postgres has two virtual disks: One is taking transaction log writes. The other is doing reads and writes from the main datafiles. Since the database size…
Read More →In this example we run pgbench with a scale factor of 1000 which equates to a database size of around 15GB. The linux VM has 32G RAM, so we don’t expect to see many reads. Using prometheus with the Linux node exporter we can see the disk IO pattern from pgbench. As expected the write…
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