Published: (Updated: ) by . Leave a Comment on A Generalized workload generator for storage IO.
With help from the Nutanix X-Ray team I have created an IO “benchmark” which simulates a “General Server Virtualization” workload. I call it the “Mixed Workload Simulator“
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How to speed up your X-ray benchmark development cycle by re-using/re-cycling benchmark VMs and more importantly data-sets.
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End to End Creation of a Nutanix Cluster on AWS and Running X-Ray
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A series of videos showing how to install, run, modify and analyze HCI clusters with the Nutanix X-ray tool
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Published: (Updated: ) by . 2 Comments on How to run vdbench benchmark on any HCI with X-Ray.
Many storage performance testers are familiar with vdbench, and wish to use it to test Hyper-Converged (HCI) performance. To accurately performance test HCI you need to deploy workloads on all HCI nodes. However, deploying multiple VMs and coordinating vdbench can be tricky, so with X-ray we provide an easy way to run vdbench at scale. […]
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An X-ray workload for measuring application density
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The fio Pareto parameter allows us to create a workload, which references a very large dataset, but specify a hotspot for the access pattern. Here’s an example using the same setup as the ILM experiment, but using a Pareto value of 0:8. My fio file looks like this.. [global] ioengine=libaio direct=1 time_based norandommap random_distribution=pareto:0.8 The […]
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Specifically a customer wanted to see how performance changes (and how quickly) as data moves from HDD to SSD automatically as data is accessed. The access pattern is 100% random across the entire disk. In a hybrid Flash/HDD system – “cold” data (i.e. data that has not been accessed for a long time) is moved […]
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What happens when power is lost to all nodes of a HCI Cluster? Ever wondered what happens when all power is simultaneously lost on a HCI cluster? One of the core principles of cloud design is that components are expected to fail, but the cluster as a whole should stay “up”. We wanted to […]
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Creating a HCI benchmark to simulate multi-tennent workloads HCI deployments are typically multi-tennant and often different nodes will support different types of workloads. It is very common to have large resource-hungry databases separated across nodes using anti-affinity rules. As with traditional storage, applications are writing to a shared storage environment which is necessary to […]
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A simple benchmark for Random Reads, Random Writes, Sequential Reads, Sequential Writes.
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How to create a customized performance test using X-ray.
