Performance Tips

CPU isolation

Mayastor will fully utilize each CPU core that it was configured to run on. It will spawn a thread on each and the thread will run in an endless loop serving tasks dispatched to it without sleeping or blocking. There are also other Mayastor threads that are not bound to the CPU and those are allowed to block and sleep. However, the bound threads (also called reactors) rely on being interrupted by the kernel and other userspace processes as little as possible. Otherwise, the latency of IO may suffer.

Ideally, the only thing that interrupts Mayastor's reactor would be only kernel time-based interrupts responsible for CPU accounting. However, that is far from trivial. isolcpus option that we will be using does not prevent:

  • kernel threads and

  • other k8s pods to run on the isolated CPU

However, it prevents system services including kubelet from interfering with Mayastor.

Set Linux kernel boot parameter

Note that the best way to accomplish this step may differ, based on the Linux distro that you are using.

Add the isolcpus kernel boot parameter to GRUB_CMDLINE_LINUX_DEFAULT in the grub configuration file, with a value which identifies the CPUs to be isolated (indexing starts from zero here). The location of the configuration file to change is typically /etc/default/grub but may vary. For example when running Ubuntu 20.04 in AWS EC2 Cloud boot parameters are in /etc/default/grub.d/50-cloudimg-settings.cfg.

In the following example we assume a system with 4 CPU cores in total, and that the third and the fourth CPU cores are to be dedicated to Mayastor.

GRUB_CMDLINE_LINUX_DEFAULT="quiet splash isolcpus=2,3"

Update grub

sudo update-grub

Reboot the system

sudo reboot

Verify isolcpus

Basic verification is by outputting the boot parameters of the currently running kernel:

cat /proc/cmdline

You can also print a list of isolated CPUs:

cat /sys/devices/system/cpu/isolated

Update mayastor helm chart for CPU core specification

To allot specific CPU cores for Mayastor's reactors, follow these steps:

  1. Ensure that you have the Mayastor kubectl plugin installed, matching the version of your Mayastor Helm chart deployment (releases). You can find installation instructions in the Mayastor kubectl plugin documentation.

  2. Execute the following command to update Mayastor's configuration. Replace <namespace> with the appropriate Kubernetes namespace where Mayastor is deployed.

kubectl mayastor upgrade -n <namespace> --set-args 'io_engine.coreList={3,4}'

In the above command, io_engine.coreList={3,4} specifies that Mayastor's reactors should operate on the third and fourth CPU cores.

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