dbench

Benchmark Kubernetes persistent disk volumes with fio: Read/write IOPS, bandwidth MB/s and latency.

Usage

Download dbench.yaml and edit the storageClassName to match your Kubernetes provider's Storage Class kubectl get storageclasses
Deploy Dbench using: kubectl apply -f dbench.yaml
Once deployed, the Dbench Job will:
- provision a Persistent Volume of 1000Gi (default) using storageClassName: ssd (default)
- run a series of fio tests on the newly provisioned disk
- currently there are 9 tests, 15s per test - total runtime is ~2.5 minutes
Follow benchmarking progress using: kubectl logs -f job/dbench (empty output means the Job not yet created, or storageClassName is invalid, see Troubleshooting below)
At the end of all tests, you'll see a summary that looks similar to this:

==================
= Dbench Summary =
==================
Random Read/Write IOPS: 75.7k/59.7k. BW: 523MiB/s / 500MiB/s
Average Latency (usec) Read/Write: 183.07/76.91
Sequential Read/Write: 536MiB/s / 512MiB/s
Mixed Random Read/Write IOPS: 43.1k/14.4k

Once the tests are finished, clean up using: kubectl delete -f dbench.yaml and that should deprovision the persistent disk and delete it to minimize storage billing.

Notes / Troubleshooting

If the Persistent Volume Claim is stuck on Pending, it's likely you didn't specify a valid Storage Class. Double check using kubectl get storageclasses. Also check that the volume size of 1000Gi (default) is available for provisioning.
It can take some time for a Persistent Volume to be Bound and the Kubernetes Dashboard UI will show the Dbench Job as red until the volume is finished provisioning.
It's useful to test multiple disk sizes as most cloud providers price IOPS per GB provisioned. So a 4000Gi volume will perform better than a 1000Gi volume. Just edit the yaml, kubectl delete -f dbench.yaml and run kubectl apply -f dbench.yaml again after deprovision/delete completes.
A list of all fio tests are in docker-entrypoint.sh.

Contributors

Lee Liu (LogDNA)
Alexis Turpin

License

MIT

License

xenv/dbench

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