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Update codefresh-runner.md
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‎_docs/administration/codefresh-runner.md‎

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@@ -286,7 +286,8 @@ There are three options for this:
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**Step 1:** Create Storage Class for EBS volumes:
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>Choose **one** of the Availability Zones (AZs)to be used for your pipeline builds. Multi AZ configuration is not supported.
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* **Storage Class (gp2)**
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* **Storage Class (gp2)**
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```yaml
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kind: StorageClass
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apiVersion: storage.k8s.io/v1
@@ -307,7 +308,8 @@ parameters:
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# ext4 or xfs (default to xfs, ensure that there is xfstools )
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fsType: xfs
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```
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* **Storage Class (gp3)**
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* **Storage Class (gp3)**
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```yaml
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kind: StorageClass
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apiVersion: storage.k8s.io/v1
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# Max - 1000.
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throughput: "500"
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```
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**Step 2:** Apply storage class manifest:
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**Step 2:** Apply storage class manifest:
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```shell
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kubectl apply -f dind-ebs.yaml
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```
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**Step 3:** Get the YAML representation of the runtime you just added:
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* Get a list of all available runtimes:
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**Step 3:** Get the YAML representation of the runtime you just added:
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* Get a list of all available runtimes:
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```shell
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codefresh get runtime-environments
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```
@@ -1293,7 +1295,7 @@ my-aws-runner
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* To use [encrypted EBS volumes](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSEncryption.html#EBSEncryption_key_mgmt){:target="\_blank"}, add the custom value`--set-value=Storage.Encrypted=true`.
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* If you already have a key, add its ARN via`--set-value=Storage.KmsKeyId=<key id> value`. Otherwise a key is generated by AWS.
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Here is an example with _all_ the options configured:
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Here is an example with _all_ the options configured:
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```shell
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codefresh runner init \
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--name my-aws-runner \
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--set-value=Storage.Encrypted=[false|true] \
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--set-value=Storage.KmsKeyId=<key id>
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```
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For descriptions of the other options, run`codefresh runner init --help` ([global parameter table](#customizing-the-wizard-installation)).
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For descriptions of the other options, run`codefresh runner init --help` ([global parameter table](#customizing-the-wizard-installation)).
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{:start="3"}
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1. When the Wizard completes the installation, modify the runtime environment of`my-aws-runner` to specify the necessary toleration, nodeSelector and disk size:
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* Run:
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```shell
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codefresh runner init --values values-example.yaml
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```
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* Helm chart [values.yaml](https://github.com/codefresh-io/venona/blob/release-1.0/charts/cf-runtime/values.yaml){:target="\_blank"}:
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* Helm chart [values.yaml](https://github.com/codefresh-io/venona/blob/release-1.0/charts/cf-runtime/values.yaml){:target="\_blank"}:
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```
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storage:
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backend: azuredisk
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volumeProvisioner:
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mountAzureJson: true
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```
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```
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helm install cf-runtime cf-runtime/cf-runtime -f ./generated_values.yaml -f values.yaml --create-namespace --namespace codefresh
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```
@@ -1749,7 +1751,7 @@ RunAwsCli:
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## Runtime environment specification
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The following section describes the runtime environment specification and possible options to modify it.
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Notice that there are additional and hidden fields that are autogenerated by Codefresh that complete a full runtime spec. You can view and edit these fields only for [Codefresh On-Premises Installation]({{site.baseurl}}/docs/administration/codefresh-on-prem/)).
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Notice that there are additional and hidden fields that are autogenerated by Codefresh that complete a full runtime spec. You can view and edit these fields only for [Codefresh On-Premises Installation]({{site.baseurl}}/docs/administration/codefresh-on-prem/).
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### Modify runtime
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1. Get a list of all available runtimes:
@@ -2045,7 +2047,8 @@ The following scenario is an example of how to set up ARM Runner on existing EKS
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**Step 1: Preparing nodes**
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1. Create new ARM nodegroup:
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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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--nodes-max <4>\
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--managed
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```
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1. Check nodes status:
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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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1. Also it's recommeded to label and taint the required ARM nodes:
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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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1. 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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* 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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@@ -2109,14 +2114,15 @@ Runtime:
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...
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```
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1. Install the Runner:
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* Install the Runner:
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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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**Step 3: Post-installation fixes**
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* Change`engine` image versionin Runtime Environment specification:
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1. Change`engine` image versionin 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$"
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# get runtime spec
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codefresh get re$RUNTIME_NAME -o yaml> runtime.yaml
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```
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1. Under`runtimeScheduler.image` change image tag:
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* Under`runtimeScheduler.image` change image tag:
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```yaml
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runtimeScheduler:
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image:'quay.io/codefresh/engine:1.136.1-arm64'
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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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1. For`local` storage patch`dind-lv-monitor-runner` DaemonSet and add`nodeSelector`:
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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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arch: arm
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```
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**Step 4 - Run Demo pipeline**
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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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