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dbench-for-EKS

Instructions:

  1. After creating the cluster, Clone this repo.
  2. Create a PVC by using “kubectl apply -f pvc.yaml”
  3. Create a data-access pod by using “kubectl apply -f dataaccess/dataaccess.yaml”
  4. Paste docker-entrypoint.sh by using “kubectl cp data/docker-entrypoint.sh dataaccess:/data/ docker-entrypoint.sh”
  5. Now we must create a docker image from Dockerfile and upload it to AWS ECR.
  6. Deploy the fio benchmarking job on AKS by using “kubectl apply -f dbench.yaml”, but make sure to change the name of ECR docker image.

The output is something like:

= 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

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