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Billy Tat
2022-07-18 20:43:02 -07:00
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versioned_docs/version-2.6/v2.6/en/cluster-admin/cluster-admin.md
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@@ -15,9 +15,9 @@ This page covers the following topics:
## Managing Clusters in Rancher
After clusters have been [provisioned into Rancher]({{<baseurl>}}/rancher/v2.6/en/cluster-provisioning/), [cluster owners]({{<baseurl>}}/rancher/v2.6/en/admin-settings/rbac/cluster-project-roles/#cluster-roles) will need to manage these clusters. There are many different options of how to manage your cluster.
After clusters have been [provisioned into Rancher]({{<baseurl>}}/rancher/v2.6/en/cluster-provisioning/), [cluster owners]({{<baseurl>}}/rancher/v2.6/en/admin-settings/rbac/cluster-project-roles/#cluster-roles) will need to manage these clusters. There are many different options of how to manage your cluster.
{{% include file="/rancher/v2.6/en/cluster-provisioning/cluster-capabilities-table" %}}
{{% include file="/rancher/v2.6/en/cluster-provisioning/cluster-capabilities-table</summary>
## Configuring Tools
versioned_docs/version-2.6/v2.6/en/cluster-admin/editing-clusters/editing-clusters.md
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@@ -24,5 +24,5 @@ The options and settings available for an existing cluster change based on the m
The following table summarizes the options and settings available for each cluster type:
{{% include file="/rancher/v2.6/en/cluster-provisioning/cluster-capabilities-table" %}}
{{% include file="/rancher/v2.6/en/cluster-provisioning/cluster-capabilities-table</summary>
versioned_docs/version-2.6/v2.6/en/cluster-admin/editing-clusters/rke-config-reference/rke-config-reference.md
+8 -7
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@@ -79,7 +79,7 @@ To edit an RKE config file directly from the Rancher UI,
> Some advanced configuration options are not exposed in the Rancher UI forms, but they can be enabled by editing the RKE cluster configuration file in YAML. For the complete reference of configurable options for RKE Kubernetes clusters in YAML, see the [RKE documentation.]({{<baseurl>}}/rke/latest/en/config-options/)
### Kubernetes Version
### Kubernetes Version
The version of Kubernetes installed on your cluster nodes. Rancher packages its own version of Kubernetes based on [hyperkube](https://github.com/rancher/hyperkube).
@@ -104,7 +104,7 @@ When Weave is selected as network provider, Rancher will automatically enable en
### Project Network Isolation
If your network provider allows project network isolation, you can choose whether to enable or disable inter-project communication.
If your network provider allows project network isolation, you can choose whether to enable or disable inter-project communication.
Project network isolation is available if you are using any RKE network plugin that supports the enforcement of Kubernetes network policies, such as Canal or the Cisco ACI plugin.
@@ -127,7 +127,7 @@ The private registry configuration option tells Rancher where to pull the [syste
- **System images** are components needed to maintain the Kubernetes cluster.
- **Add-ons** are used to deploy several cluster components, including network plug-ins, the ingress controller, the DNS provider, or the metrics server.
For more information on setting up a private registry for components applied during the provisioning of the cluster, see the [RKE documentation on private registries]({{<baseurl>}}/rke/latest/en/config-options/private-registries/).
For more information on setting up a private registry for components applied during the provisioning of the cluster, see the [RKE documentation on private registries]({{<baseurl>}}/rke/latest/en/config-options/private-registries/).
Rancher v2.6 introduced the ability to configure [ECR registries for RKE clusters]({{<baseurl>}}/rke/latest/en/config-options/private-registries/#amazon-elastic-container-registry-ecr-private-registry-setup).
@@ -151,7 +151,7 @@ For information on using the Rancher UI to set up node pools in an RKE cluster,
If you want to publish your applications in a high-availability configuration, and you're hosting your nodes with a cloud-provider that doesn't have a native load-balancing feature, enable this option to use NGINX Ingress within the cluster.
### Metrics Server Monitoring
### Metrics Server Monitoring
Option to enable or disable [Metrics Server]({{<baseurl>}}/rke/latest/en/config-options/add-ons/metrics-server/).
@@ -165,7 +165,7 @@ You must have an existing Pod Security Policy configured before you can use this
### Docker Version on Nodes
Configures whether nodes are allowed to run versions of Docker that Rancher doesn't officially support.
Configures whether nodes are allowed to run versions of Docker that Rancher doesn't officially support.
If you choose to require a supported Docker version, Rancher will stop pods from running on nodes that don't have a supported Docker version installed.
@@ -209,7 +209,8 @@ For the complete reference for configurable options for RKE Kubernetes clusters
RKE (Rancher Kubernetes Engine) is the tool that Rancher uses to provision Kubernetes clusters. Rancher's cluster config files used to have the same structure as [RKE config files,]({{<baseurl>}}/rke/latest/en/example-yamls/) but the structure changed so that in Rancher, RKE cluster config items are separated from non-RKE config items. Therefore, configuration for your cluster needs to be nested under the `rancher_kubernetes_engine_config` directive in the cluster config file. Cluster config files created with earlier versions of Rancher will need to be updated for this format. An example cluster config file is included below.
{{% accordion id="v2.3.0-cluster-config-file" label="Example Cluster Config File" %}}
<details id="v2.3.0-cluster-config-file">
<summary>Example Cluster Config File</summary>
```yaml
#
@@ -301,7 +302,7 @@ rancher_kubernetes_engine_config: # Your RKE template config goes here.
ssh_agent_auth: false
windows_prefered_cluster: false
```
{{% /accordion %}}
</details>
### Default DNS provider
versioned_docs/version-2.6/v2.6/en/cluster-provisioning/cluster-provisioning.md
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@@ -28,7 +28,7 @@ This section covers the following topics:
The following table summarizes the options and settings available for each cluster type:
{{% include file="/rancher/v2.6/en/cluster-provisioning/cluster-capabilities-table" %}}
{{% include file="/rancher/v2.6/en/cluster-provisioning/cluster-capabilities-table</summary>
# Setting up Clusters in a Hosted Kubernetes Provider
versioned_docs/version-2.6/v2.6/en/cluster-provisioning/rke-clusters/cloud-providers/azure/azure.md
+29 -27
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@@ -31,7 +31,7 @@ Visit [Azure portal](https://portal.azure.com), login and go to **Azure Active D
If you want to use the Azure CLI, you can run the command `az account show` to get the information.
### 2. Set up the Azure Client ID and Azure Client Secret
### 2. Set up the Azure Client ID and Azure Client Secret
Visit [Azure portal](https://portal.azure.com), login and follow the steps below to create an **App Registration** and the corresponding **Azure Client ID** (aadClientId) and **Azure Client Secret** (aadClientSecret).
@@ -75,36 +75,38 @@ Only hosts expected to be load balancer back ends need to be in this group.
1. Choose "Azure" from the Cloud Provider drop-down in the Cluster Configuration section.
1. * Supply the Cloud Provider Configuration. Note that Rancher will automatically create a new Network Security Group, Resource Group, Availability Set, Subnet, and Virtual Network. If you already have some or all of these created, you will need to specify them before creating the cluster.
1. * Supply the Cloud Provider Configuration. Note that Rancher will automatically create a new Network Security Group, Resource Group, Availability Set, Subnet, and Virtual Network. If you already have some or all of these created, you will need to specify them before creating the cluster.
* You can click on "Show Advanced" to see more of these automatically generated names and update them if
necessary. Your Cloud Provider Configuration **must** match the fields in the Machine Pools section. If you have multiple pools, they must all use the same Resource Group, Availability Set, Subnet, Virtual Network, and Network Security Group.
necessary. Your Cloud Provider Configuration **must** match the fields in the Machine Pools section. If you have multiple pools, they must all use the same Resource Group, Availability Set, Subnet, Virtual Network, and Network Security Group.
* An example is provided below. You will modify it as needed.
{{% accordion id="v2.6.0-cloud-provider-config-file" label="Example Cloud Provider Config" %}}
<details id="v2.6.0-cloud-provider-config-file">
<summary>Example Cloud Provider Config</summary>
```yaml
{
"cloud":"AzurePublicCloud",
"tenantId": "YOUR TENANTID HERE",
"aadClientId": "YOUR AADCLIENTID HERE",
"aadClientSecret": "YOUR AADCLIENTSECRET HERE",
"subscriptionId": "YOUR SUBSCRIPTIONID HERE",
"resourceGroup": "docker-machine",
"location": "westus",
"subnetName": "docker-machine",
"securityGroupName": "rancher-managed-KA4jV9V2",
"securityGroupResourceGroup": "docker-machine",
"vnetName": "docker-machine-vnet",
"vnetResourceGroup": "docker-machine",
"primaryAvailabilitySetName": "docker-machine",
"routeTableResourceGroup": "docker-machine",
"cloudProviderBackoff": false,
"useManagedIdentityExtension": false,
"useInstanceMetadata": true
}
```
</details>
```yaml
{
"cloud":"AzurePublicCloud",
"tenantId": "YOUR TENANTID HERE",
"aadClientId": "YOUR AADCLIENTID HERE",
"aadClientSecret": "YOUR AADCLIENTSECRET HERE",
"subscriptionId": "YOUR SUBSCRIPTIONID HERE",
"resourceGroup": "docker-machine",
"location": "westus",
"subnetName": "docker-machine",
"securityGroupName": "rancher-managed-KA4jV9V2",
"securityGroupResourceGroup": "docker-machine",
"vnetName": "docker-machine-vnet",
"vnetResourceGroup": "docker-machine",
"primaryAvailabilitySetName": "docker-machine",
"routeTableResourceGroup": "docker-machine",
"cloudProviderBackoff": false,
"useManagedIdentityExtension": false,
"useInstanceMetadata": true
}
```
{{% /accordion %}}
1. Under the **Cluster Configuration > Advanced** section, click **Add** under **Additional Controller Manager Args** and add this flag: `--configure-cloud-routes=false`
1. Click the **Create** button to submit the form and create the cluster.
versioned_docs/version-2.6/v2.6/en/installation/install-rancher-on-k8s/install-rancher-on-k8s.md
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@@ -113,7 +113,8 @@ There are three recommended options for the source of the certificate used for T
This step is only required to use certificates issued by Rancher's generated CA (`ingress.tls.source=rancher`) or to request Let's Encrypt issued certificates (`ingress.tls.source=letsEncrypt`).
{{% accordion id="cert-manager" label="Click to Expand" %}}
<details id="cert-manager">
<summary>Click to Expand</summary>
> **Important:** Recent changes to cert-manager require an upgrade. If you are upgrading Rancher and using a version of cert-manager older than v0.11.0, please see our [upgrade documentation]({{<baseurl>}}/rancher/v2.6/en/installation/resources/upgrading-cert-manager/).
@@ -147,7 +148,7 @@ cert-manager-cainjector-577f6d9fd7-tr77l 1/1 Running 0 2m
cert-manager-webhook-787858fcdb-nlzsq 1/1 Running 0 2m
```
{{% /accordion %}}
</details>
### 5. Install Rancher with Helm and Your Chosen Certificate Option
versioned_docs/version-2.6/v2.6/en/installation/other-installation-methods/air-gap/install-rancher/docker-install-commands/docker-install-commands.md
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@@ -3,9 +3,9 @@ title: Docker Install Commands
weight: 1
---
The Docker installation is for Rancher users who want to test out Rancher.
The Docker installation is for Rancher users who want to test out Rancher.
Instead of running on a Kubernetes cluster, you install the Rancher server component on a single node using a `docker run` command. Since there is only one node and a single Docker container, if the node goes down, there is no copy of the etcd data available on other nodes and you will lose all the data of your Rancher server.
Instead of running on a Kubernetes cluster, you install the Rancher server component on a single node using a `docker run` command. Since there is only one node and a single Docker container, if the node goes down, there is no copy of the etcd data available on other nodes and you will lose all the data of your Rancher server.
The backup application can be used to migrate the Rancher server from a Docker install to a Kubernetes install using [these steps.]({{<baseurl>}}/rancher/v2.6/en/backups/migrating-rancher)
@@ -25,7 +25,8 @@ Choose from the following options:
### Option A: Default Self-Signed Certificate
{{% accordion id="option-a" label="Click to expand" %}}
<details id="option-a">
<summary>Click to expand</summary>
If you are installing Rancher in a development or testing environment where identity verification isn't a concern, install Rancher using the self-signed certificate that it generates. This installation option omits the hassle of generating a certificate yourself.
@@ -47,11 +48,12 @@ docker run -d --restart=unless-stopped \
<REGISTRY.YOURDOMAIN.COM:PORT>/rancher/rancher:<RANCHER_VERSION_TAG>
```
{{% /accordion %}}
</details>
### Option B: Bring Your Own Certificate: Self-Signed
{{% accordion id="option-b" label="Click to expand" %}}
<details id="option-b">
<summary>Click to expand</summary>
In development or testing environments where your team will access your Rancher server, create a self-signed certificate for use with your install so that your team can verify they're connecting to your instance of Rancher.
@@ -86,11 +88,12 @@ docker run -d --restart=unless-stopped \
<REGISTRY.YOURDOMAIN.COM:PORT>/rancher/rancher:<RANCHER_VERSION_TAG>
```
{{% /accordion %}}
</details>
### Option C: Bring Your Own Certificate: Signed by Recognized CA
{{% accordion id="option-c" label="Click to expand" %}}
<details id="option-c">
<summary>Click to expand</summary>
In development or testing environments where you're exposing an app publicly, use a certificate signed by a recognized CA so that your user base doesn't encounter security warnings.
@@ -122,7 +125,7 @@ docker run -d --restart=unless-stopped \
<REGISTRY.YOURDOMAIN.COM:PORT>/rancher/rancher:<RANCHER_VERSION_TAG>
```
{{% /accordion %}}
</details>
versioned_docs/version-2.6/v2.6/en/installation/other-installation-methods/air-gap/install-rancher/install-rancher.md
+3 -2
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@@ -201,7 +201,8 @@ If you choose to use self-signed certificates in [B. Choose your SSL Configurati
### For Self-Signed Certificate Installs, Install Cert-manager
{{% accordion id="install-cert-manager" label="Click to expand" %}}
<details id="install-cert-manager">
<summary>Click to expand</summary>
If you are using self-signed certificates, install cert-manager:
@@ -223,7 +224,7 @@ kubectl apply -f cert-manager/cert-manager-crd.yaml
kubectl apply -R -f ./cert-manager
```
{{% /accordion %}}
</details>
### Install Rancher with kubectl
versioned_docs/version-2.6/v2.6/en/installation/other-installation-methods/single-node-docker/single-node-upgrades/single-node-upgrades.md
+24 -14
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@@ -136,7 +136,8 @@ Select which option you had installed Rancher server
### Option A: Default Self-Signed Certificate
{{% accordion id="option-a" label="Click to expand" %}}
<details id="option-a">
<summary>Click to expand</summary>
If you have selected to use the Rancher generated self-signed certificate, you add the `--volumes-from rancher-data` to the command that you had started your original Rancher server container.
@@ -154,11 +155,12 @@ docker run -d --volumes-from rancher-data \
Privileged access is [required.]({{<baseurl>}}/rancher/v2.6/en/installation/other-installation-methods/single-node-docker/#privileged-access-for-rancher)
{{% /accordion %}}
</details>
### Option B: Bring Your Own Certificate: Self-Signed
{{% accordion id="option-b" label="Click to expand" %}}
<details id="option-b">
<summary>Click to expand</summary>
If you have selected to bring your own self-signed certificate, you add the `--volumes-from rancher-data` to the command that you had started your original Rancher server container and need to have access to the same certificate that you had originally installed with.
@@ -185,11 +187,12 @@ docker run -d --volumes-from rancher-data \
Privileged access is [required.]({{<baseurl>}}/rancher/v2.6/en/installation/other-installation-methods/single-node-docker/#privileged-access-for-rancher)
{{% /accordion %}}
</details>
### Option C: Bring Your Own Certificate: Signed by Recognized CA
{{% accordion id="option-c" label="Click to expand" %}}
<details id="option-c">
<summary>Click to expand</summary>
If you have selected to use a certificate signed by a recognized CA, you add the `--volumes-from rancher-data` to the command that you had started your original Rancher server container and need to have access to the same certificates that you had originally installed with. Remember to include `--no-cacerts` as an argument to the container to disable the default CA certificate generated by Rancher.
@@ -214,11 +217,12 @@ docker run -d --volumes-from rancher-data \
```
Privileged access is [required.]({{<baseurl>}}/rancher/v2.6/en/installation/other-installation-methods/single-node-docker/#privileged-access-for-rancher)
{{% /accordion %}}
</details>
### Option D: Let's Encrypt Certificate
{{% accordion id="option-d" label="Click to expand" %}}
<details id="option-d">
<summary>Click to expand</summary>
>**Remember:** Let's Encrypt provides rate limits for requesting new certificates. Therefore, limit how often you create or destroy the container. For more information, see [Let's Encrypt documentation on rate limits](https://letsencrypt.org/docs/rate-limits/).
@@ -245,7 +249,7 @@ docker run -d --volumes-from rancher-data \
Privileged access is [required.]({{<baseurl>}}/rancher/v2.6/en/installation/other-installation-methods/single-node-docker/#privileged-access-for-rancher)
{{% /accordion %}}
</details>
</TabItem>
<TabItem value="Docker Air Gap Upgrade">
@@ -256,7 +260,8 @@ When starting the new Rancher server container, choose from the following option
### Option A: Default Self-Signed Certificate
{{% accordion id="option-a" label="Click to expand" %}}
<details id="option-a">
<summary>Click to expand</summary>
If you have selected to use the Rancher generated self-signed certificate, you add the `--volumes-from rancher-data` to the command that you had started your original Rancher server container.
@@ -276,11 +281,13 @@ Placeholder | Description
```
Privileged access is [required.]({{<baseurl>}}/rancher/v2.6/en/installation/other-installation-methods/single-node-docker/#privileged-access-for-rancher)
{{% /accordion %}}
</details>
### Option B: Bring Your Own Certificate: Self-Signed
{{% accordion id="option-b" label="Click to expand" %}}
<details id="option-b">
<summary>Click to expand</summary>
If you have selected to bring your own self-signed certificate, you add the `--volumes-from rancher-data` to the command that you had started your original Rancher server container and need to have access to the same certificate that you had originally installed with.
@@ -307,11 +314,13 @@ docker run -d --restart=unless-stopped \
<REGISTRY.YOURDOMAIN.COM:PORT>/rancher/rancher:<RANCHER_VERSION_TAG>
```
Privileged access is [required.]({{<baseurl>}}/rancher/v2.6/en/installation/other-installation-methods/single-node-docker/#privileged-access-for-rancher)
{{% /accordion %}}
</details>
### Option C: Bring Your Own Certificate: Signed by Recognized CA
{{% accordion id="option-c" label="Click to expand" %}}
<details id="option-c">
<summary>Click to expand</summary>
If you have selected to use a certificate signed by a recognized CA, you add the `--volumes-from rancher-data` to the command that you had started your original Rancher server container and need to have access to the same certificates that you had originally installed with.
@@ -340,7 +349,8 @@ docker run -d --volumes-from rancher-data \
<REGISTRY.YOURDOMAIN.COM:PORT>/rancher/rancher:<RANCHER_VERSION_TAG>
```
privileged access is [required.]({{<baseurl>}}/rancher/v2.6/en/installation/other-installation-methods/single-node-docker/#privileged-access-for-rancher)
{{% /accordion %}}
</details>
</TabItem>
</Tabs>
versioned_docs/version-2.6/v2.6/en/installation/requirements/ports/ports.md
+26 -17
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@@ -42,7 +42,8 @@ Rancher can be installed on any Kubernetes cluster. For Rancher installs on a K3
### Ports for Rancher Server Nodes on K3s
{{% accordion label="Click to expand" %}}
<details>
<summary>Click to expand</summary>
The K3s server needs port 6443 to be accessible by the nodes.
@@ -73,11 +74,12 @@ The following tables break down the port requirements for inbound and outbound t
| TCP | 2376 | Any node IP from a node created using Node driver | Docker daemon TLS port used by Docker Machine |
| TCP | 6443 | Hosted/Imported Kubernetes API | Kubernetes API server |
{{% /accordion %}}
</details>
### Ports for Rancher Server Nodes on RKE
{{% accordion label="Click to expand" %}}
<details>
<summary>Click to expand</summary>
Typically Rancher is installed on three RKE nodes that all have the etcd, control plane and worker roles.
@@ -118,11 +120,12 @@ The following tables break down the port requirements for inbound and outbound t
| TCP | 6443 | Hosted/Imported Kubernetes API | Kubernetes API server |
| TCP | Provider dependent | Port of the Kubernetes API endpoint in hosted cluster | Kubernetes API |
{{% /accordion %}}
</details>
### Ports for Rancher Server Nodes on RKE2
{{% accordion label="Click to expand" %}}
<details>
<summary>Click to expand</summary>
The RKE2 server needs port 6443 and 9345 to be accessible by other nodes in the cluster.
@@ -148,11 +151,13 @@ If you wish to utilize the metrics server, you will need to open port 10250 on e
| HTTPS | 8443 | <ul><li>hosted/registered Kubernetes</li><li>any source that needs to be able to use the Rancher UI or API</li></ul> | Rancher agent, Rancher UI/API, kubectl. Not needed if you have LB doing TLS termination. |
Typically all outbound traffic is allowed.
{{% /accordion %}}
</details>
### Ports for Rancher Server in Docker
{{% accordion label="Click to expand" %}}
<details>
<summary>Click to expand</summary>
The following tables break down the port requirements for Rancher nodes, for inbound and outbound traffic:
@@ -172,7 +177,7 @@ The following tables break down the port requirements for Rancher nodes, for inb
| TCP | 2376 | Any node IP from a node created using a node driver | Docker daemon TLS port used by Docker Machine |
| TCP | 6443 | Hosted/Imported Kubernetes API | Kubernetes API server |
{{% /accordion %}}
</details>
# Downstream Kubernetes Cluster Nodes
@@ -192,7 +197,8 @@ The following diagram depicts the ports that are opened for each [cluster type](
### Ports for Rancher Launched Kubernetes Clusters using Node Pools
{{% accordion label="Click to expand" %}}
<details>
<summary>Click to expand</summary>
The following table depicts the port requirements for [Rancher Launched Kubernetes]({{<baseurl>}}/rancher/v2.6/en/cluster-provisioning/rke-clusters/) with nodes created in an [Infrastructure Provider]({{<baseurl>}}/rancher/v2.6/en/cluster-provisioning/rke-clusters/node-pools/).
@@ -201,39 +207,42 @@ The following table depicts the port requirements for [Rancher Launched Kubernet
{{< ports-iaas-nodes >}}
{{% /accordion %}}
</details>
### Ports for Rancher Launched Kubernetes Clusters using Custom Nodes
{{% accordion label="Click to expand" %}}
<details>
<summary>Click to expand</summary>
The following table depicts the port requirements for [Rancher Launched Kubernetes]({{<baseurl>}}/rancher/v2.6/en/cluster-provisioning/rke-clusters/) with [Custom Nodes]({{<baseurl>}}/rancher/v2.6/en/cluster-provisioning/rke-clusters/custom-nodes/).
{{< ports-custom-nodes >}}
{{% /accordion %}}
</details>
### Ports for Hosted Kubernetes Clusters
{{% accordion label="Click to expand" %}}
<details>
<summary>Click to expand</summary>
The following table depicts the port requirements for [hosted clusters]({{<baseurl>}}/rancher/v2.6/en/cluster-provisioning/hosted-kubernetes-clusters).
{{< ports-imported-hosted >}}
{{% /accordion %}}
</details>
### Ports for Registered Clusters
Note: Registered clusters were called imported clusters before Rancher v2.5.
{{% accordion label="Click to expand" %}}
<details>
<summary>Click to expand</summary>
The following table depicts the port requirements for [registered clusters]({{<baseurl>}}/rancher/v2.6/en/cluster-provisioning/registered-clusters/).
{{< ports-imported-hosted >}}
{{% /accordion %}}
</details>
# Other Port Considerations
@@ -242,7 +251,7 @@ The following table depicts the port requirements for [registered clusters]({{<b
These ports are typically opened on your Kubernetes nodes, regardless of what type of cluster it is.
{{% include file="/rancher/v2.6/en/installation/requirements/ports/common-ports-table" %}}
{{% include file="/rancher/v2.6/en/installation/requirements/ports/common-ports-table</summary>
----
versioned_docs/version-2.6/v2.6/en/installation/resources/advanced/single-node-install-external-lb/single-node-install-external-lb.md
+8 -4
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@@ -40,7 +40,9 @@ For security purposes, SSL (Secure Sockets Layer) is required when using Rancher
Choose from the following options:
{{% accordion id="option-a" label="Option A-Bring Your Own Certificate: Self-Signed" %}}
<details id="option-a">
<summary>Option A-Bring Your Own Certificate: Self-Signed</summary>
If you elect to use a self-signed certificate to encrypt communication, you must install the certificate on your load balancer (which you'll do later) and your Rancher container. Run the Docker command to deploy Rancher, pointing it toward your certificate.
> **Prerequisites:**
@@ -59,8 +61,10 @@ If you elect to use a self-signed certificate to encrypt communication, you must
rancher/rancher:latest
```
{{% /accordion %}}
{{% accordion id="option-b" label="Option B-Bring Your Own Certificate: Signed by Recognized CA" %}}
</details>
<details id="option-b">
<summary>Option B-Bring Your Own Certificate: Signed by Recognized CA</summary>
If your cluster is public facing, it's best to use a certificate signed by a recognized CA.
> **Prerequisites:**
@@ -79,7 +83,7 @@ If you use a certificate signed by a recognized CA, installing your certificate
rancher/rancher:latest --no-cacerts
```
{{% /accordion %}}
</details>
## 3. Configure Load Balancer
versioned_docs/version-2.6/v2.6/en/installation/resources/upgrading-cert-manager/upgrading-cert-manager.md
+10 -7
View File
@@ -19,7 +19,7 @@ To address these changes, this guide will do two things:
> 1. Take a one-time snapshot of your Kubernetes cluster running Rancher server
> 2. Uninstall Rancher, cert-manager, and the CustomResourceDefinition for cert-manager
> 3. Install the newer version of Rancher and cert-manager
> 3. Install the newer version of Rancher and cert-manager
> The reason is that when Helm upgrades Rancher, it will reject the upgrade and show error messages if the running Rancher app does not match the chart template used to install it. Because cert-manager changed its API group and we cannot modify released charts for Rancher, there will always be a mismatch on the cert-manager's API version, therefore the upgrade will be rejected.
@@ -31,7 +31,9 @@ In order to upgrade cert-manager, follow these instructions:
### Option A: Upgrade cert-manager with Internet Access
{{% accordion id="normal" label="Click to expand" %}}
<details id="normal">
<summary>Click to expand</summary>
1. [Back up existing resources](https://cert-manager.io/docs/tutorials/backup/) as a precaution
```plain
@@ -87,7 +89,7 @@ In order to upgrade cert-manager, follow these instructions:
helm install \
cert-manager jetstack/cert-manager \
--namespace cert-manager \
--version v0.12.0
--version v0.12.0
```
1. [Restore back up resources](https://cert-manager.io/docs/tutorials/backup/#restoring-resources)
@@ -96,11 +98,12 @@ In order to upgrade cert-manager, follow these instructions:
kubectl apply -f cert-manager-backup.yaml
```
{{% /accordion %}}
</details>
### Option B: Upgrade cert-manager in an Air Gap Environment
{{% accordion id="airgap" label="Click to expand" %}}
<details id="airgap">
<summary>Click to expand</summary>
### Prerequisites
@@ -203,9 +206,9 @@ Before you can perform the upgrade, you must prepare your air gapped environment
kubectl apply -f cert-manager-backup.yaml
```
{{% /accordion %}}
</details>
### Verify the Deployment
### Verify the Deployment
Once you’ve installed cert-manager, you can verify it is deployed correctly by checking the kube-system namespace for running pods:
versioned_docs/version-2.6/v2.6/en/k8s-in-rancher/horitzontal-pod-autoscaler/manage-hpa-with-kubectl/manage-hpa-with-kubectl.md
+20 -8
View File
@@ -64,7 +64,7 @@ spec:
```
Directive | Description
Directive | Description
---------|----------|
`apiVersion: autoscaling/v2beta1` | The version of the Kubernetes `autoscaling` API group in use. This example manifest uses the beta version, so scaling by CPU and memory is enabled. |
`name: hello-world` | Indicates that HPA is performing autoscaling for the `hello-word` deployment. |
@@ -76,7 +76,7 @@ Directive | Description
##### Configuring HPA to Scale Using Resource Metrics (CPU and Memory)
Clusters created in Rancher v2.0.7 and higher have all the requirements needed (metrics-server and Kubernetes cluster configuration) to use Horizontal Pod Autoscaler.
Clusters created in Rancher v2.0.7 and higher have all the requirements needed (metrics-server and Kubernetes cluster configuration) to use Horizontal Pod Autoscaler.
Run the following commands to check if metrics are available in your installation:
@@ -158,7 +158,10 @@ For HPA to use custom metrics from Prometheus, package [k8s-prometheus-adapter](
# kubectl logs prometheus-adapter-prometheus-adapter-568674d97f-hbzfx -n kube-system
```
Then review the log output to confirm the service is running.
{{% accordion id="prometheus-logs" label="Prometheus Adaptor Logs" %}}
<details id="prometheus-logs">
<summary>Prometheus Adaptor Logs</summary>
...
I0724 10:18:45.696679 1 round_trippers.go:436] GET https://10.43.0.1:443/api/v1/namespaces/default/pods?labelSelector=app%3Dhello-world 200 OK in 2 milliseconds
I0724 10:18:45.696695 1 round_trippers.go:442] Response Headers:
@@ -171,7 +174,8 @@ For HPA to use custom metrics from Prometheus, package [k8s-prometheus-adapter](
I0724 10:18:45.699939 1 wrap.go:42] GET /apis/custom.metrics.k8s.io/v1beta1/namespaces/default/pods/%2A/fs_read?labelSelector=app%3Dhello-world: (12.431262ms) 200 [[kube-controller-manager/v1.10.1 (linux/amd64) kubernetes/d4ab475/system:serviceaccount:kube-system:horizontal-pod-autoscaler] 10.42.0.0:24268]
I0724 10:18:51.727845 1 request.go:836] Request Body: {"kind":"SubjectAccessReview","apiVersion":"authorization.k8s.io/v1beta1","metadata":{"creationTimestamp":null},"spec":{"nonResourceAttributes":{"path":"/","verb":"get"},"user":"system:anonymous","group":["system:unauthenticated"]},"status":{"allowed":false}}
...
{{% /accordion %}}
</details>
@@ -182,15 +186,23 @@ For HPA to use custom metrics from Prometheus, package [k8s-prometheus-adapter](
# kubectl get --raw /apis/custom.metrics.k8s.io/v1beta1
```
If the API is accessible, you should receive output that's similar to what follows.
{{% accordion id="custom-metrics-api-response" label="API Response" %}}
<details id="custom-metrics-api-response">
<summary>API Response</summary>
{"kind":"APIResourceList","apiVersion":"v1","groupVersion":"custom.metrics.k8s.io/v1beta1","resources":[{"name":"pods/fs_usage_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_rss","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/spec_cpu_period","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_cfs_throttled","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_io_time","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_read","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_sector_writes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_user","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/last_seen","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/tasks_state","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/spec_cpu_quota","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/start_time_seconds","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_limit_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_write","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_cache","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_usage_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_cfs_periods","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_cfs_throttled_periods","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_reads_merged","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_working_set_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/network_udp_usage","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_inodes_free","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_inodes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_io_time_weighted","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_failures","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_swap","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/spec_cpu_shares","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/spec_memory_swap_limit_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_usage","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_io_current","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_writes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_failcnt","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_reads","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_writes_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_writes_merged","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/network_tcp_usage","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_max_usage_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/spec_memory_limit_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/spec_memory_reservation_limit_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_load_average_10s","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_system","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_reads_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_sector_reads","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]}]}
{{% /accordion %}}
</details>
- If you are accessing the cluster through Rancher, enter your Server URL in the kubectl config in the following format: `https://<RANCHER_URL>/k8s/clusters/<CLUSTER_ID>`. Add the suffix `/k8s/clusters/<CLUSTER_ID>` to API path.
```
# kubectl get --raw /k8s/clusters/<CLUSTER_ID>/apis/custom.metrics.k8s.io/v1beta1
```
If the API is accessible, you should receive output that's similar to what follows.
{{% accordion id="custom-metrics-api-response-rancher" label="API Response" %}}
<details id="custom-metrics-api-response-rancher">
<summary>API Response</summary>
{"kind":"APIResourceList","apiVersion":"v1","groupVersion":"custom.metrics.k8s.io/v1beta1","resources":[{"name":"pods/fs_usage_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_rss","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/spec_cpu_period","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_cfs_throttled","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_io_time","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_read","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_sector_writes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_user","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/last_seen","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/tasks_state","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/spec_cpu_quota","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/start_time_seconds","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_limit_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_write","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_cache","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_usage_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_cfs_periods","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_cfs_throttled_periods","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_reads_merged","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_working_set_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/network_udp_usage","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_inodes_free","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_inodes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_io_time_weighted","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_failures","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_swap","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/spec_cpu_shares","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/spec_memory_swap_limit_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_usage","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_io_current","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_writes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_failcnt","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_reads","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_writes_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_writes_merged","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/network_tcp_usage","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/memory_max_usage_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/spec_memory_limit_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/spec_memory_reservation_limit_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_load_average_10s","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/cpu_system","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_reads_bytes","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]},{"name":"pods/fs_sector_reads","singularName":"","namespaced":true,"kind":"MetricValueList","verbs":["get"]}]}
{{% /accordion %}}
</details>
versioned_docs/version-2.6/v2.6/en/k8s-in-rancher/horitzontal-pod-autoscaler/testing-hpa/testing-hpa.md
+497 -457
View File
@@ -9,58 +9,62 @@ For HPA to work correctly, service deployments should have resources request def
1. Configure `kubectl` to connect to your Kubernetes cluster.
2. Copy the `hello-world` deployment manifest below.
{{% accordion id="hello-world" label="Hello World Manifest" %}}
```
apiVersion: apps/v1beta2
kind: Deployment
metadata:
labels:
app: hello-world
name: hello-world
namespace: default
spec:
replicas: 1
selector:
matchLabels:
app: hello-world
strategy:
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
type: RollingUpdate
template:
metadata:
labels:
app: hello-world
spec:
containers:
- image: rancher/hello-world
imagePullPolicy: Always
name: hello-world
resources:
requests:
cpu: 500m
memory: 64Mi
ports:
- containerPort: 80
protocol: TCP
restartPolicy: Always
---
apiVersion: v1
kind: Service
metadata:
name: hello-world
namespace: default
spec:
ports:
- port: 80
protocol: TCP
targetPort: 80
selector:
app: hello-world
```
{{% /accordion %}}
1. Copy the `hello-world` deployment manifest below.
<details id="hello-world">
<summary>Hello World Manifest</summary>
```
apiVersion: apps/v1beta2
kind: Deployment
metadata:
labels:
app: hello-world
name: hello-world
namespace: default
spec:
replicas: 1
selector:
matchLabels:
app: hello-world
strategy:
rollingUpdate:
maxSurge: 1
maxUnavailable: 0
type: RollingUpdate
template:
metadata:
labels:
app: hello-world
spec:
containers:
- image: rancher/hello-world
imagePullPolicy: Always
name: hello-world
resources:
requests:
cpu: 500m
memory: 64Mi
ports:
- containerPort: 80
protocol: TCP
restartPolicy: Always
---
apiVersion: v1
kind: Service
metadata:
name: hello-world
namespace: default
spec:
ports:
- port: 80
protocol: TCP
targetPort: 80
selector:
app: hello-world
```
</details>
1. Deploy it to your cluster.
@@ -69,423 +73,459 @@ spec:
```
1. Copy one of the HPAs below based on the metric type you're using:
{{% accordion id="service-deployment-resource-metrics" label="Hello World HPA: Resource Metrics" %}}
```
apiVersion: autoscaling/v2beta1
kind: HorizontalPodAutoscaler
metadata:
name: hello-world
namespace: default
spec:
scaleTargetRef:
apiVersion: extensions/v1beta1
kind: Deployment
name: hello-world
minReplicas: 1
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
targetAverageUtilization: 50
- type: Resource
resource:
name: memory
targetAverageValue: 1000Mi
```
{{% /accordion %}}
{{% accordion id="service-deployment-custom-metrics" label="Hello World HPA: Custom Metrics" %}}
```
apiVersion: autoscaling/v2beta1
kind: HorizontalPodAutoscaler
metadata:
name: hello-world
namespace: default
spec:
scaleTargetRef:
apiVersion: extensions/v1beta1
kind: Deployment
name: hello-world
minReplicas: 1
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
targetAverageUtilization: 50
- type: Resource
resource:
name: memory
targetAverageValue: 100Mi
- type: Pods
pods:
metricName: cpu_system
targetAverageValue: 20m
```
{{% /accordion %}}
<details id="service-deployment-resource-metrics">
<summary>Hello World HPA: Resource Metrics</summary>
```
apiVersion: autoscaling/v2beta1
kind: HorizontalPodAutoscaler
metadata:
name: hello-world
namespace: default
spec:
scaleTargetRef:
apiVersion: extensions/v1beta1
kind: Deployment
name: hello-world
minReplicas: 1
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
targetAverageUtilization: 50
- type: Resource
resource:
name: memory
targetAverageValue: 1000Mi
```
</details>
<details id="service-deployment-custom-metrics">
<summary>Hello World HPA: Custom Metrics</summary>
```
apiVersion: autoscaling/v2beta1
kind: HorizontalPodAutoscaler
metadata:
name: hello-world
namespace: default
spec:
scaleTargetRef:
apiVersion: extensions/v1beta1
kind: Deployment
name: hello-world
minReplicas: 1
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
targetAverageUtilization: 50
- type: Resource
resource:
name: memory
targetAverageValue: 100Mi
- type: Pods
pods:
metricName: cpu_system
targetAverageValue: 20m
```
</details>
1. View the HPA info and description. Confirm that metric data is shown.
{{% accordion id="hpa-info-resource-metrics" label="Resource Metrics" %}}
1. Enter the following commands.
```
# kubectl get hpa
NAME REFERENCE TARGETS MINPODS MAXPODS REPLICAS AGE
hello-world Deployment/hello-world 1253376 / 100Mi, 0% / 50% 1 10 1 6m
# kubectl describe hpa
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Mon, 23 Jul 2018 20:21:16 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 1253376 / 100Mi
resource cpu on pods (as a percentage of request): 0% (0) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True ReadyForNewScale the last scale time was sufficiently old as to warrant a new scale
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from memory resource
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events: <none>
```
{{% /accordion %}}
{{% accordion id="hpa-info-custom-metrics" label="Custom Metrics" %}}
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive the output that follows.
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Tue, 24 Jul 2018 18:36:28 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 3514368 / 100Mi
"cpu_system" on pods: 0 / 20m
resource cpu on pods (as a percentage of request): 0% (0) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True ReadyForNewScale the last scale time was sufficiently old as to warrant a new scale
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from memory resource
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events: <none>
```
{{% /accordion %}}
<details id="hpa-info-resource-metrics">
<summary>Resource Metrics</summary>
1. Enter the following commands.
```
# kubectl get hpa
NAME REFERENCE TARGETS MINPODS MAXPODS REPLICAS AGE
hello-world Deployment/hello-world 1253376 / 100Mi, 0% / 50% 1 10 1 6m
# kubectl describe hpa
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Mon, 23 Jul 2018 20:21:16 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 1253376 / 100Mi
resource cpu on pods (as a percentage of request): 0% (0) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True ReadyForNewScale the last scale time was sufficiently old as to warrant a new scale
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from memory resource
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events: <none>
```
</details>
<details id="hpa-info-custom-metrics">
<summary>Custom Metrics</summary>
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive the output that follows.
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Tue, 24 Jul 2018 18:36:28 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 3514368 / 100Mi
"cpu_system" on pods: 0 / 20m
resource cpu on pods (as a percentage of request): 0% (0) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True ReadyForNewScale the last scale time was sufficiently old as to warrant a new scale
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from memory resource
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events: <none>
```
</details>
1. Generate a load for the service to test that your pods autoscale as intended. You can use any load-testing tool (Hey, Gatling, etc.), but we're using [Hey](https://github.com/rakyll/hey).
1. Test that pod autoscaling works as intended.<br/></br>
**To Test Autoscaling Using Resource Metrics:**
{{% accordion id="observe-upscale-2-pods-cpu" label="Upscale to 2 Pods: CPU Usage Up to Target" %}}
Use your load testing tool to scale up to two pods based on CPU Usage.
1. View your HPA.
```
# kubectl describe hpa
```
You should receive output similar to what follows.
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Mon, 23 Jul 2018 22:22:04 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 10928128 / 100Mi
resource cpu on pods (as a percentage of request): 56% (280m) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 2
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 13s horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
```
1. Enter the following command to confirm you've scaled to two pods.
```
# kubectl get pods
```
You should receive output similar to what follows:
```
NAME READY STATUS RESTARTS AGE
hello-world-54764dfbf8-k8ph2 1/1 Running 0 1m
hello-world-54764dfbf8-q6l4v 1/1 Running 0 3h
```
{{% /accordion %}}
{{% accordion id="observe-upscale-3-pods-cpu-cooldown" label="Upscale to 3 pods: CPU Usage Up to Target" %}}
Use your load testing tool to upscale to 3 pods based on CPU usage with `horizontal-pod-autoscaler-upscale-delay` set to 3 minutes.
<details id="observe-upscale-2-pods-cpu">
<summary>Upscale to 2 Pods: CPU Usage Up to Target</summary>
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive output similar to what follows
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Mon, 23 Jul 2018 22:22:04 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 9424896 / 100Mi
resource cpu on pods (as a percentage of request): 66% (333m) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 3
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 4m horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 16s horizontal-pod-autoscaler New size: 3; reason: cpu resource utilization (percentage of request) above target
```
2. Enter the following command to confirm three pods are running.
```
# kubectl get pods
```
You should receive output similar to what follows.
```
NAME READY STATUS RESTARTS AGE
hello-world-54764dfbf8-f46kh 0/1 Running 0 1m
hello-world-54764dfbf8-k8ph2 1/1 Running 0 5m
hello-world-54764dfbf8-q6l4v 1/1 Running 0 3h
```
{{% /accordion %}}
{{% accordion id="observe-downscale-1-pod" label="Downscale to 1 Pod: All Metrics Below Target" %}}
Use your load testing to scale down to 1 pod when all metrics are below target for `horizontal-pod-autoscaler-downscale-delay` (5 minutes by default).
Use your load testing tool to scale up to two pods based on CPU Usage.
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive output similar to what follows.
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Mon, 23 Jul 2018 22:22:04 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 10070016 / 100Mi
resource cpu on pods (as a percentage of request): 0% (0) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 1
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from memory resource
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 10m horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 6m horizontal-pod-autoscaler New size: 3; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 1s horizontal-pod-autoscaler New size: 1; reason: All metrics below target
```
{{% /accordion %}}
<br/>
**To Test Autoscaling Using Custom Metrics:**
{{% accordion id="custom-observe-upscale-2-pods-cpu" label="Upscale to 2 Pods: CPU Usage Up to Target" %}}
Use your load testing tool to upscale two pods based on CPU usage.
1. View your HPA.
```
# kubectl describe hpa
```
You should receive output similar to what follows.
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Mon, 23 Jul 2018 22:22:04 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 10928128 / 100Mi
resource cpu on pods (as a percentage of request): 56% (280m) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 2
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 13s horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
```
1. Enter the following command to confirm you've scaled to two pods.
```
# kubectl get pods
```
You should receive output similar to what follows:
```
NAME READY STATUS RESTARTS AGE
hello-world-54764dfbf8-k8ph2 1/1 Running 0 1m
hello-world-54764dfbf8-q6l4v 1/1 Running 0 3h
```
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive output similar to what follows.
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Tue, 24 Jul 2018 18:01:11 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 8159232 / 100Mi
"cpu_system" on pods: 7m / 20m
resource cpu on pods (as a percentage of request): 64% (321m) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 2
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 16s horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
```
1. Enter the following command to confirm two pods are running.
```
# kubectl get pods
```
You should receive output similar to what follows.
```
NAME READY STATUS RESTARTS AGE
hello-world-54764dfbf8-5pfdr 1/1 Running 0 3s
hello-world-54764dfbf8-q6l82 1/1 Running 0 6h
```
{{% /accordion %}}
{{% accordion id="observe-upscale-3-pods-cpu-cooldown-2" label="Upscale to 3 Pods: CPU Usage Up to Target" %}}
Use your load testing tool to scale up to three pods when the cpu_system usage limit is up to target.
</details>
<details id="observe-upscale-3-pods-cpu-cooldown">
<summary>Upscale to 3 pods: CPU Usage Up to Target</summary>
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive output similar to what follows:
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Tue, 24 Jul 2018 18:01:11 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 8374272 / 100Mi
"cpu_system" on pods: 27m / 20m
resource cpu on pods (as a percentage of request): 71% (357m) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 3
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 3m horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 3s horizontal-pod-autoscaler New size: 3; reason: pods metric cpu_system above target
```
1. Enter the following command to confirm three pods are running.
```
# kubectl get pods
```
You should receive output similar to what follows:
```
# kubectl get pods
NAME READY STATUS RESTARTS AGE
hello-world-54764dfbf8-5pfdr 1/1 Running 0 3m
hello-world-54764dfbf8-m2hrl 1/1 Running 0 1s
hello-world-54764dfbf8-q6l82 1/1 Running 0 6h
```
{{% /accordion %}}
{{% accordion id="observe-upscale-4-pods" label="Upscale to 4 Pods: CPU Usage Up to Target" %}}
Use your load testing tool to upscale to four pods based on CPU usage. `horizontal-pod-autoscaler-upscale-delay` is set to three minutes by default.
Use your load testing tool to upscale to 3 pods based on CPU usage with `horizontal-pod-autoscaler-upscale-delay` set to 3 minutes.
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive output similar to what follows.
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Tue, 24 Jul 2018 18:01:11 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 8374272 / 100Mi
"cpu_system" on pods: 27m / 20m
resource cpu on pods (as a percentage of request): 71% (357m) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 3
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 5m horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 3m horizontal-pod-autoscaler New size: 3; reason: pods metric cpu_system above target
Normal SuccessfulRescale 4s horizontal-pod-autoscaler New size: 4; reason: cpu resource utilization (percentage of request) above target
```
1. Enter the following command to confirm four pods are running.
```
# kubectl get pods
```
You should receive output similar to what follows.
```
NAME READY STATUS RESTARTS AGE
hello-world-54764dfbf8-2p9xb 1/1 Running 0 5m
hello-world-54764dfbf8-5pfdr 1/1 Running 0 2m
hello-world-54764dfbf8-m2hrl 1/1 Running 0 1s
hello-world-54764dfbf8-q6l82 1/1 Running 0 6h
```
{{% /accordion %}}
{{% accordion id="custom-metrics-observe-downscale-1-pod" label="Downscale to 1 Pod: All Metrics Below Target" %}}
Use your load testing tool to scale down to one pod when all metrics below target for `horizontal-pod-autoscaler-downscale-delay`.
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive similar output to what follows.
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Tue, 24 Jul 2018 18:01:11 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 8101888 / 100Mi
"cpu_system" on pods: 8m / 20m
resource cpu on pods (as a percentage of request): 0% (0) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 1
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from memory resource
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 10m horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 8m horizontal-pod-autoscaler New size: 3; reason: pods metric cpu_system above target
Normal SuccessfulRescale 5m horizontal-pod-autoscaler New size: 4; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 13s horizontal-pod-autoscaler New size: 1; reason: All metrics below target
```
1. Enter the following command to confirm a single pods is running.
```
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive output similar to what follows
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Mon, 23 Jul 2018 22:22:04 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 9424896 / 100Mi
resource cpu on pods (as a percentage of request): 66% (333m) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 3
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 4m horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 16s horizontal-pod-autoscaler New size: 3; reason: cpu resource utilization (percentage of request) above target
```
2. Enter the following command to confirm three pods are running.
```
# kubectl get pods
```
You should receive output similar to what follows.
```
NAME READY STATUS RESTARTS AGE
hello-world-54764dfbf8-q6l82 1/1 Running 0 6h
```
{{% /accordion %}}
```
You should receive output similar to what follows.
```
NAME READY STATUS RESTARTS AGE
hello-world-54764dfbf8-f46kh 0/1 Running 0 1m
hello-world-54764dfbf8-k8ph2 1/1 Running 0 5m
hello-world-54764dfbf8-q6l4v 1/1 Running 0 3h
```
</details>
<details id="observe-downscale-1-pod">
<summary>Downscale to 1 Pod: All Metrics Below Target</summary>
Use your load testing to scale down to 1 pod when all metrics are below target for `horizontal-pod-autoscaler-downscale-delay` (5 minutes by default).
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive output similar to what follows.
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Mon, 23 Jul 2018 22:22:04 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 10070016 / 100Mi
resource cpu on pods (as a percentage of request): 0% (0) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 1
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from memory resource
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 10m horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 6m horizontal-pod-autoscaler New size: 3; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 1s horizontal-pod-autoscaler New size: 1; reason: All metrics below target
```
</details>
**To Test Autoscaling Using Custom Metrics:**
<details id="custom-observe-upscale-2-pods-cpu">
<summary>Upscale to 2 Pods: CPU Usage Up to Target</summary>
Use your load testing tool to upscale two pods based on CPU usage.
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive output similar to what follows.
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Tue, 24 Jul 2018 18:01:11 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 8159232 / 100Mi
"cpu_system" on pods: 7m / 20m
resource cpu on pods (as a percentage of request): 64% (321m) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 2
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 16s horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
```
1. Enter the following command to confirm two pods are running.
```
# kubectl get pods
```
You should receive output similar to what follows.
```
NAME READY STATUS RESTARTS AGE
hello-world-54764dfbf8-5pfdr 1/1 Running 0 3s
hello-world-54764dfbf8-q6l82 1/1 Running 0 6h
```
</details>
<details id="observe-upscale-3-pods-cpu-cooldown-2">
<summary>Upscale to 3 Pods: CPU Usage Up to Target</summary>
Use your load testing tool to scale up to three pods when the cpu_system usage limit is up to target.
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive output similar to what follows:
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Tue, 24 Jul 2018 18:01:11 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 8374272 / 100Mi
"cpu_system" on pods: 27m / 20m
resource cpu on pods (as a percentage of request): 71% (357m) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 3
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 3m horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 3s horizontal-pod-autoscaler New size: 3; reason: pods metric cpu_system above target
```
1. Enter the following command to confirm three pods are running.
```
# kubectl get pods
```
You should receive output similar to what follows:
```
# kubectl get pods
NAME READY STATUS RESTARTS AGE
hello-world-54764dfbf8-5pfdr 1/1 Running 0 3m
hello-world-54764dfbf8-m2hrl 1/1 Running 0 1s
hello-world-54764dfbf8-q6l82 1/1 Running 0 6h
```
</details>
<details id="observe-upscale-4-pods">
<summary>Upscale to 4 Pods: CPU Usage Up to Target</summary>
Use your load testing tool to upscale to four pods based on CPU usage. `horizontal-pod-autoscaler-upscale-delay` is set to three minutes by default.
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive output similar to what follows.
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Tue, 24 Jul 2018 18:01:11 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 8374272 / 100Mi
"cpu_system" on pods: 27m / 20m
resource cpu on pods (as a percentage of request): 71% (357m) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 3
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from cpu resource utilization (percentage of request)
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 5m horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 3m horizontal-pod-autoscaler New size: 3; reason: pods metric cpu_system above target
Normal SuccessfulRescale 4s horizontal-pod-autoscaler New size: 4; reason: cpu resource utilization (percentage of request) above target
```
1. Enter the following command to confirm four pods are running.
```
# kubectl get pods
```
You should receive output similar to what follows.
```
NAME READY STATUS RESTARTS AGE
hello-world-54764dfbf8-2p9xb 1/1 Running 0 5m
hello-world-54764dfbf8-5pfdr 1/1 Running 0 2m
hello-world-54764dfbf8-m2hrl 1/1 Running 0 1s
hello-world-54764dfbf8-q6l82 1/1 Running 0 6h
```
</details>
<details id="custom-metrics-observe-downscale-1-pod">
<summary>Downscale to 1 Pod: All Metrics Below Target</summary>
Use your load testing tool to scale down to one pod when all metrics below target for `horizontal-pod-autoscaler-downscale-delay`.
1. Enter the following command.
```
# kubectl describe hpa
```
You should receive similar output to what follows.
```
Name: hello-world
Namespace: default
Labels: <none>
Annotations: <none>
CreationTimestamp: Tue, 24 Jul 2018 18:01:11 +0200
Reference: Deployment/hello-world
Metrics: ( current / target )
resource memory on pods: 8101888 / 100Mi
"cpu_system" on pods: 8m / 20m
resource cpu on pods (as a percentage of request): 0% (0) / 50%
Min replicas: 1
Max replicas: 10
Conditions:
Type Status Reason Message
---- ------ ------ -------
AbleToScale True SucceededRescale the HPA controller was able to update the target scale to 1
ScalingActive True ValidMetricFound the HPA was able to successfully calculate a replica count from memory resource
ScalingLimited False DesiredWithinRange the desired count is within the acceptable range
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfulRescale 10m horizontal-pod-autoscaler New size: 2; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 8m horizontal-pod-autoscaler New size: 3; reason: pods metric cpu_system above target
Normal SuccessfulRescale 5m horizontal-pod-autoscaler New size: 4; reason: cpu resource utilization (percentage of request) above target
Normal SuccessfulRescale 13s horizontal-pod-autoscaler New size: 1; reason: All metrics below target
```
1. Enter the following command to confirm a single pods is running.
```
# kubectl get pods
```
You should receive output similar to what follows.
```
NAME READY STATUS RESTARTS AGE
hello-world-54764dfbf8-q6l82 1/1 Running 0 6h
```
</details>
versioned_docs/version-2.6/v2.6/en/overview/overview.md
+2 -2
View File
@@ -50,7 +50,7 @@ The Rancher API server is built on top of an embedded Kubernetes API server and
### Cluster Visibility
- **Logging:** Rancher can integrate with a variety of popular logging services and tools that exist outside of your Kubernetes clusters.
- **Monitoring:** Using Rancher, you can monitor the state and processes of your cluster nodes, Kubernetes components, and software deployments through integration with Prometheus, a leading open-source monitoring solution.
- **Monitoring:** Using Rancher, you can monitor the state and processes of your cluster nodes, Kubernetes components, and software deployments through integration with Prometheus, a leading open-source monitoring solution.
- **Alerting:** To keep your clusters and applications healthy and driving your organizational productivity forward, you need to stay informed of events occurring in your clusters and projects, both planned and unplanned.
# Editing Downstream Clusters with Rancher
@@ -61,4 +61,4 @@ After a cluster is created with Rancher, a cluster administrator can manage clus
The following table summarizes the options and settings available for each cluster type:
{{% include file="/rancher/v2.6/en/cluster-provisioning/cluster-capabilities-table" %}}
{{% include file="/rancher/v2.6/en/cluster-provisioning/cluster-capabilities-table</summary>