# Local rack performance and Docker for Mac 2.4.0

**URL:** https://community.convox.com/t/local-rack-performance-and-docker-for-mac-2-4-0/783
**Category:** Rack (Version 3)
**Created:** [October 5, 2020, 2:49pm UTC](https://community.convox.com/t/local-rack-performance-and-docker-for-mac-2-4-0/783 "2020-10-05T14:49:02Z")
**Posts on this page:** 2
**Page:** 1

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### Author: ![jay.janssen](https://yyz1.discourse-cdn.com/flex029/user_avatar/community.convox.com/jay.janssen/32/17_2.png) [@jay.janssen](https://community.convox.com/u/jay.janssen)
#### Post date: [October 5, 2020, 2:49pm UTC](https://community.convox.com/t/local-rack-performance-and-docker-for-mac-2-4-0/783/1 "2020-10-05T14:49:02Z")

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Just upgraded to Docker for Mac 2.4.0. Among the [release notes](https://docs.docker.com/docker-for-mac/release-notes/#docker-desktop-community-2400) is an item “Docker Desktop now uses much less CPU when there are lots of file events on the host and when running Kubernetes”.

Typically I have seen Docker anywhere from 60-100% CPU. I installed the update and reset the disk image to start fresh. With nothing running, but K8s installed, I am indeed seeing what looks like a better idle CPU usage for Docker for mac – round about ~40%.

 ![Screen Shot 2020-10-05 at 10.15.40 AM](https://canada1.discourse-cdn.com/flex029/uploads/convox1/original/1X/b4a5b51e8b41ffc0e24ddd3894bb2a658e0f66a6.png)

However, once I install my convox local rack (with no apps) 3.0.42, it pretty quickly jumps to more like ~60-80% idle.

 ![Screen Shot 2020-10-05 at 10.46.06 AM](https://canada1.discourse-cdn.com/flex029/uploads/convox1/original/1X/bc5ed01df5693a012963e951c4d1335d6fbfac4f.png)

Are there any tunables here? Any things that can keep local convox from chewing up CPU all the time?

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### Author: ![miles](https://avatars.discourse-cdn.com/v4/letter/m/47e85d/32.png) [@miles](https://community.convox.com/u/miles)
#### Post date: [October 20, 2020, 6:11pm UTC](https://community.convox.com/t/local-rack-performance-and-docker-for-mac-2-4-0/783/2 "2020-10-20T18:11:09Z")

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I had the same experience–the local kubernetes cluster idea is fantastic but oh boy does it use a lot of your resources. I can do it on my desktop machine with 32gb RAM but on my dev laptop its too clunky