{"id":1616,"date":"2018-09-10T08:22:10","date_gmt":"2018-09-10T15:22:10","guid":{"rendered":"http:\/\/107.22.183.175\/?p=1616"},"modified":"2018-09-09T19:38:13","modified_gmt":"2018-09-10T02:38:13","slug":"kubernetes-with-mixed-cpu-architecture","status":"publish","type":"post","link":"https:\/\/mindthevirt.com\/kubernetes-with-mixed-cpu-architecture\/","title":{"rendered":"Kubernetes with Mixed CPU Architecture"},"content":{"rendered":"<p>Creating a Raspberry Pi Kubernetes cluster is straight forward, however it becomes more complicated when you want to mix and match kubernetes nodes of different CPU architectures.<\/p>\n<p>I recently deployed a new Kubernetes cluster in my home lab which initially consisted of two Ubuntu nodes running <a href=\"https:\/\/kubernetes.io\/docs\/setup\/independent\/create-cluster-kubeadm\/\">kubeadm<\/a>\u00a0and are\u00a0 VMs on VMware ESXi. Last night I tried to add a Raspberry Pi\u00a0 and ran into a couple of issues which I resolved and describe further down to save you some time.<\/p>\n<pre class=\"theme:dark-terminal plain:false plain-toggle:false popup:false expand-toggle:false trim-whitespace:false trim-code-tag:false mixed:false show_mixed:false lang:sh decode:true\">kubectl get nodes -o wide\r\nNAME               STATUS    ROLES     AGE       VERSION   INTERNAL-IP     EXTERNAL-IP   OS-IMAGE                         KERNEL-VERSION      CONTAINER-RUNTIME\r\nk8s-raspberry-01   Ready         4h        v1.11.2   192.168.1.216           Raspbian GNU\/Linux 9 (stretch)   4.14.62-v7+         docker:\/\/18.6.1\r\nk8s-ubuntu-01      Ready     master    5d        v1.11.2   192.168.1.127           Ubuntu 18.04.1 LTS               4.15.0-33-generic   docker:\/\/18.6.1\r\nk8s-ubuntu-02      Ready         5d        v1.11.2   192.168.1.156           Ubuntu 18.04.1 LTS               4.15.0-33-generic   docker:\/\/18.6.1<\/pre>\n<h2><\/h2>\n<p><!--more--><\/p>\n<h2><\/h2>\n<h1>My Kubernetes Setup:<a href=\"http:\/\/107.22.183.175\/wp-content\/uploads\/2018\/09\/kubernetes-logo-300x155.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-1628 size-medium\" src=\"http:\/\/107.22.183.175\/wp-content\/uploads\/2018\/09\/kubernetes-logo-300x155-300x155.png\" alt=\"Kubernetes Logo\" width=\"300\" height=\"155\" \/><\/a><\/h1>\n<p><strong>Kubernetes<\/strong>: v1.11.2<br \/>\n<strong>Docker<\/strong>: ce-18.6.1<br \/>\n<strong>CNI<\/strong>: Flannel v0.10.0<br \/>\n<strong>CPU Architectures<\/strong>: AMD64 &amp; ARM<br \/>\n<strong>OS<\/strong>: Ubuntu 18.04.1 LTS &amp; Raspbian June 2018<br \/>\n<strong>NAS<\/strong>: NFS via FreeNAS<\/p>\n<p>Note: If you&#8217;re looking for good instructions on setting up kubeadm on a Raspberry Pi, please take a look at\u00a0<a href=\"https:\/\/kubecloud.io\/setup-a-kubernetes-1-9-0-raspberry-pi-cluster-on-raspbian-using-kubeadm-f8b3b85bc2d1\"><strong>Setup a Kubernetes 1.9.0 Raspberry Pi cluster on Raspbian using\u00a0Kubeadm<\/strong><\/a><\/p>\n<h2><\/h2>\n<h2><\/h2>\n<h1>Issue #1 &#8211; Kube-Proxy<\/h1>\n<p>If you start out with running Ubuntu on your master node, kube proxy will only be available for amd64 CPU architecture. In order to run kube proxy on a Raspberry Pi, you&#8217;ll need to deploy a separate daemonset for the ARM architecture. I created a yaml for this purpose and published it on my <a href=\"https:\/\/github.com\/mindthevirt\/k8s-yaml\">Github profile<\/a>. Download kube-proxy-arm.yaml and deploy it with:<\/p>\n<pre class=\"theme:dark-terminal plain:false plain-toggle:false popup:false expand-toggle:false trim-whitespace:false trim-code-tag:false mixed:false show_mixed:false lang:sh decode:true\">kubectl create -f kube-proxy-arm.yaml<\/pre>\n<p>If you were successful, you should be able to see kube-proxy-arm running as a container.<\/p>\n<pre class=\"theme:dark-terminal plain:false plain-toggle:false popup:false expand-toggle:false trim-whitespace:false trim-code-tag:false mixed:false show_mixed:false lang:sh highlight:0 decode:true show_mixed:false\">kubectl get pods -n kube-system | grep proxy\r\nkube-proxy-2kmp8                        1\/1       Running   0          5d\r\nkube-proxy-arm-9qt76                    1\/1       Running   2          4h\r\nkube-proxy-rt9hf                        1\/1       Running   0          5d<\/pre>\n<p>&nbsp;<\/p>\n<h2><\/h2>\n<h1>Issue #2 &#8211; CNI Flannel<\/h1>\n<p><a href=\"http:\/\/107.22.183.175\/wp-content\/uploads\/2018\/09\/Screen-Shot-2018-09-09-at-7.31.06-PM.png\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright size-full wp-image-1667\" src=\"http:\/\/107.22.183.175\/wp-content\/uploads\/2018\/09\/Screen-Shot-2018-09-09-at-7.31.06-PM.png\" alt=\"\" width=\"359\" height=\"113\" srcset=\"https:\/\/mindthevirt.com\/wp-content\/uploads\/2018\/09\/Screen-Shot-2018-09-09-at-7.31.06-PM.png 359w, https:\/\/mindthevirt.com\/wp-content\/uploads\/2018\/09\/Screen-Shot-2018-09-09-at-7.31.06-PM-300x94.png 300w\" sizes=\"(max-width: 359px) 100vw, 359px\" \/><\/a>Flannel v0.10.0 provides two<br \/>\nkube-flannel.yaml files and both are referenced by the <a href=\"https:\/\/kubernetes.io\/docs\/setup\/independent\/create-cluster-kubeadm\/\">official Kubernetes documentation.<\/a>\u00a0When I followed the instructions, I didn&#8217;t read all the instructions and deployed the official <a href=\"https:\/\/raw.githubusercontent.com\/coreos\/flannel\/v0.10.0\/Documentation\/kube-flannel.yml\">flannel v0.10.0 yaml<\/a>. However this version only support the amd64 CPU architecture. If you want to mix CPU architectures across your kubernetes clsuter, you want to deploy the following <a href=\"https:\/\/raw.githubusercontent.com\/coreos\/flannel\/c5d10c8\/Documentation\/kube-flannel.yml\">kube-flannel.yaml<\/a> as it support ARM, ARM64, AMD64, PPC64LE and S390X.<\/p>\n<p>Once you fix the two issues above, you should have all nodes operational and ready to run some containers. Be sure to deploy images which are ARM compatible as not all images are compatible.<\/p>\n<pre class=\"theme:dark-terminal plain:false plain-toggle:false popup:false expand-toggle:false trim-whitespace:false trim-code-tag:false mixed:false show_mixed:false lang:sh decode:true \">kubectl get ds -n kube-system\r\nNAME                      DESIRED   CURRENT   READY     UP-TO-DATE   AVAILABLE   NODE SELECTOR                     AGE\r\nkube-flannel-ds-amd64     2         2         2         2            2           beta.kubernetes.io\/arch=amd64     18h\r\nkube-flannel-ds-arm       1         1         1         1            1           beta.kubernetes.io\/arch=arm       18h\r\nkube-flannel-ds-arm64     0         0         0         0            0           beta.kubernetes.io\/arch=arm64     18h\r\nkube-flannel-ds-ppc64le   0         0         0         0            0           beta.kubernetes.io\/arch=ppc64le   18h\r\nkube-flannel-ds-s390x     0         0         0         0            0           beta.kubernetes.io\/arch=s390x     18h\r\nkube-proxy                2         2         2         2            2           beta.kubernetes.io\/arch=amd64     5d\r\nkube-proxy-arm            1         1         1         1            1           beta.kubernetes.io\/arch=arm       5h<\/pre>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Creating a Raspberry Pi Kubernetes cluster is straight forward, however it becomes more complicated when you want to mix and match kubernetes nodes of different CPU architectures. I recently deployed&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"footnotes":"","_jetpack_memberships_contains_paid_content":false,"jetpack_publicize_message":"Kubernetes with Mixed CPU Architecture #kubernetes #amd64 #arm #raspberrypi","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false}}},"categories":[221],"tags":[224,223,225,226],"jetpack_publicize_connections":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Ubuntu &amp; Raspberry Pi Kubernetes Cluster Gotchas<\/title>\n<meta name=\"description\" content=\"Creating a Raspberry Pi Kubernetes cluster is straight forward. 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