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Commitea0843b

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Merge pull request#289 from codefresh-io/arm-builds
added arm builds
2 parents49eb090 +65e481d commitea0843b

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‎_docs/administration/codefresh-runner.md‎

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@@ -1601,6 +1601,150 @@ Override environment variables for `dind-lv-monitor` daemonset if necessary:
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-`KB_USAGE_THRESHOLD` - default 80 (percentage)
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-`INODE_USAGE_THRESHOLD` - default 80
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##ARM Builds
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With hybrid runner it's possibe to run native ARM64v8 builds.
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>**Note:** Running both amd64 and arm64 images within the same pipeline - it is not possible. We do not support multi-architecture builds. One runtime configuration - one architecture. Considering one pipeline can map only to one runtime, it is possible to run either amd64 or arm64, but not both within a one pipeline
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The following scenario is an example of how to set up ARM Runner on existing EKS cluster:
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#####Step 1 - Preparing nodes
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Create new ARM nodegroup:
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```shell
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eksctl utils update-coredns --cluster<cluster-name>
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eksctl utils update-kube-proxy --cluster<cluster-name> --approve
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eksctl utils update-aws-node --cluster<cluster-name> --approve
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eksctl create nodegroup \
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--cluster<cluster-name> \
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--region<region> \
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--name<arm-ng> \
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--node-type<a1.2xlarge> \
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--nodes<3>\
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--nodes-min<2>\
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--nodes-max<4>\
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--managed
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```
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Check nodes status:
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```shell
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kubectl get nodes -l kubernetes.io/arch=arm64
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```
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Also it's recommeded to label and taint the required ARM nodes:
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```shell
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kubectl taint nodes<node> arch=aarch64:NoSchedule
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kubectl label nodes<node> arch=arm
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```
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#####Step 2 - Runner installation
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Use[values.yaml](https://github.com/codefresh-io/venona/blob/release-1.0/venonactl/example/values-example.yaml) to inject`tolerations`,`kube-node-selector`,`build-node-selector` into the Runtime Environment spec.
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`values-arm.yaml`
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{% highlight yaml %}
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{% raw %}
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...
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Namespace: codefresh
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###NodeSelector --kube-node-selector: controls runner and dind-volume-provisioner pods
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NodeSelector: arch=arm
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###Tolerations --tolerations: controls runner, dind-volume-provisioner and dind-lv-monitor
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Tolerations:
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- key: arch
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operator: Equal
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value: aarch64
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effect: NoSchedule
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...
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########################################################
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###Codefresh Runtime ###
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######
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###configure engine and dind pods ###
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########################################################
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Runtime:
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###NodeSelector --build-node-selector: controls engine and dind pods
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NodeSelector:
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arch: arm
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###Tolerations for engine and dind pods
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tolerations:
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- key: arch
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operator: Equal
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value: aarch64
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effect: NoSchedule
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...
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{% endraw %}
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{% endhighlight %}
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Install the Runner with:
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```shell
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codefresh runner init --values values-arm.yaml --exec-demo-pipelinefalse --skip-cluster-integrationtrue
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```
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#####Step 3 - Post-installation fixes
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Change`engine` image version in Runtime Environment specification:
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```shell
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# get the latest engine ARM64 tag
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curl -X GET"https://quay.io/api/v1/repository/codefresh/engine/tag/?limit=100" --silent| jq -r'.tags[].name'| grep"^1.*arm64$"
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1.136.1-arm64
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```
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```shell
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# get runtime spec
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codefresh get re$RUNTIME_NAME -o yaml> runtime.yaml
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```
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under`runtimeScheduler.image` change image tag:
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{% highlight yaml %}
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{% raw %}
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runtimeScheduler:
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image: 'quay.io/codefresh/engine:1.136.1-arm64'
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{% endraw %}
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{% endhighlight %}
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```shell
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# patch runtime spec
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codefresh patch re -f runtime.yaml
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```
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For`local` storage patch`dind-lv-monitor-runner` DaemonSet and add`nodeSelector`:
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```shell
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kubectl edit ds dind-lv-monitor-runner
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```
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{% highlight yaml %}
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{% raw %}
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spec:
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nodeSelector:
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arch: arm
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{% endraw %}
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{% endhighlight %}
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#####Step 4 - Run Demo pipeline
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Run a modified version of the*CF_Runner_Demo* pipeline:
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{% highlight yaml %}
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{% raw %}
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version: '1.0'
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stages:
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- test
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steps:
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test:
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stage: test
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title: test
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image: 'arm64v8/alpine'
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commands:
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- echo hello Codefresh Runner!
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{% endraw %}
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{% endhighlight %}
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##Troubleshooting
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-**Problem:** You receive an error regarding the provided token or CLI context used for this installation might not have enough permissions.

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