VMware Tanzu Kubernetes Grid (informally known as TKG) provides a consistent, upstream-compatible, regional Kubernetes substrate that is ready for end-user workloads and ecosystem integrations.
An air-gap installation method is used when the Tanzu Kubernetes Grid bootstrapper and cluster nodes components are unable to connect to the Internet to download the installation binaries from the public VMware Registry during Tanzu Kubernetes Grid installation or upgrades.
The scope of this document is limited to providing deployment steps based on the reference design in Tanzu Kubernetes Grid on vSphere Networking. This document does not provide any deployment procedures for the underlying SDDC components.
The following table provides the component versions and interoperability matrix supported with the reference design:
Software Components | Version |
---|---|
Tanzu Kubernetes Grid | 2.1.x |
VMware vSphere ESXi | 7.0U3 and later |
VMware vCenter (VCSA) | 7.0U3 and later |
VMware vSAN | 7.0U3 and later |
NSX Advanced LB | 22.1.2 |
For the latest information, see VMware Product Interoperability Matrix.
Before deploying the Tanzu Kubernetes Grid in the vSphere environment, ensure that your environment is set up as described in the following sections:
NoteYou can also download and import supported older versions of Kubernetes in order to deploy workload clusters on the intended Kubernetes versions. In Tanzu Kubernetes Grid nodes, it is recommended to not use hostnames with “.local” domain suffix. For more information, see KB article
The sample entries of the resource pools and folders that need to be created are as follows.
Resource Type | Sample Resource Pool Name | Sample Folder Name |
---|---|---|
NSX ALB Components | nsx-alb-components |
nsx-alb-components |
TKG Management components | tkg-management-components |
tkg-management-components |
TKG Shared Service Components | tkg-sharedsvc-components |
tkg-sharedsvc-components |
TKG Workload components | tkg-workload01-components |
tkg-workload01-components |
Create Port groups on vSphere Distributed Switch for deploying Tanzu Kubernetes Grid components as defined in Network Requirements in the reference architecture.
Ensure that the firewall is set up as described in Firewall Requirements.
For the purpose of this demonstration, this document makes use of the following CIDR for TKO deployment. Please change the values to reflect your environment.
Network Type | Port Group Name | Gateway CIDR | DHCP Pool | NSX ALB IP Pool |
---|---|---|---|---|
NSX ALB Management Network | sfo01-w01-vds01-albmanagement | 172.16.10.1/24 | N/A | 172.16.10.100- 172.16.10.200 |
TKG Management Network | sfo01-w01-vds01-tkgmanagement | 172.16.40.1/24 | 172.16.40.100- 172.16.40.200 | N/A |
TKG Management VIP Network | sfo01-w01-vds01-tkgmanagementvip | 172.16.50.1/24 | N/A | 172.16.50.100- 172.16.50.200 |
TKG Cluster VIP Network | sfo01-w01-vds01-tkgclustervip | 172.16.80.1/24 | N/A | 172.16.80.100- 172.16.80.200 |
TKG Workload VIP Network | sfo01-w01-vds01-tkgworkloadvip | 172.16.70.1/24 | N/A | 172.16.70.100 - 172.16.70.200 |
TKG Workload Segment | sfo01-w01-vds01-tkgworkload | 172.16.60.1/24 | 172.16.60.100- 172.16.60.200 | N/A |
Here are the high-level steps for deploying Tanzu Kubernetes Grid on vSphere VDS networking in an air-gap environment:
The bastion host is the physical or virtual machine where you download the images and binaries required for Tanzu Kubernetes Grid installation from the Internet. You will then transfer the downloaded items to the bootstrap machine, which is located inside the air-gap environment.
Ensure the following: - A browser is available on the bastion host to download the binaries from the Internet. - The bastion host has the following hardware configuration: - CPU: 1 - Memory: 4 GB - Storage (HDD): 200 GB or greater.
NoteThe following instructions are for CentOS 7. If you are using any other operating system for your bastion host, change the commands accordingly.
Download the binaries for Docker Engine and associated dependencies.
### Create a directory for collecting docker installation binaries
mkdir docker-binaries && cd docker-binaries
### Add docker repository to the yum command
yum install yum-utils -y
yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
### Download docker and associated dependencies
yumdownloader --resolve docker-ce docker-ce-cli containerd.io docker-compose-plugin
The yumdownloader
command downloads the following binaries:
Download installation binaries from the Harbor GitHub repository.
Download the NSX Advanced Load Balancer OVA from VMware Customer Connect portal.
Download Tanzu CLI, Kubectl, and the Kubernetes OVA images from the Tanzu Kubernetes Grid product download page. Tanzu CLI and Plugins need to be installed on the bastion host and the bootstrap machine.
Download the yq installation binary from mikefarah / yq GitHub repository.
Install Tanzu CLI.
tar -xvf tanzu-cli-bundle-linux-amd64.tar.gz
cd ./cli/
sudo install core/v0.28.0/tanzu-core-linux_amd64 /usr/local/bin/tanzu
chmod +x /usr/local/bin/tanzu
Run the tanzu version
command to check that the correct version of tanzu is installed and executable.
# tanzu version
version: v0.28.0
buildDate: 2023-01-20
sha: 3c34115bc-dirty
Download the Images .
Before performing this step, ensure that the disk partition where you download the images has 45 GB of available space.
tanzu isolated-cluster download-bundle --source-repo <SOURCE-REGISTRY> --tkg-version <TKG-VERSION> --ca-certificate <SECURITY-CERTIFICATE>
tanzu isolated-cluster download-bundle --source-repo projects.registry.vmware.com/tkg --tkg-version v2.1.0
The image bundle in the form of TAR files, along with the publish-images-fromtar.yaml file, is downloaded . The YAML file defines the mapping between the images and the TAR files.
Copy the files to the bootstrap machine after bootstrap machine deployment.
Copy the following files to the offline machine, which is the bootstrap machine in the proxied or air-gapped environment, through a USB thumb drive or other medium: * Image TAR files * YAML files
Install the Harbor only if you don’t have any existing image repository in your environment.
To install Harbor, deploy an operating system of your choice with the following hardware configuration:
Storage (HDD): 160 GB
Follow the instructions provided in Harbor Installation and Configuration to deploy and configure Harbor.
The deployment of the Tanzu Kubernetes Grid management and workload clusters is facilitated by setting up a bootstrap machine where you install the Tanzu CLI and Kubectl utilities which are used to create and manage the Tanzu Kubernetes Grid instance. This machine also keeps the Tanzu Kubernetes Grid and Kubernetes configuration files for your deployments. The bootstrap machine can be a laptop, host, or server running on Linux, macOS, or Windows that you deploy management and workload clusters from.
The bootstrap machine runs a local kind
cluster when Tanzu Kubernetes Grid management cluster deployment is started. Once the kind
cluster is fully initialized, the configuration is used to deploy the actual management cluster on the backend infrastructure. After the management cluster is fully configured, the local kind
cluster is deleted and future configurations are performed with the Tanzu CLI.
For this deployment, a Photon-based virtual machine is used as the bootstrap machine. For information on how to configure a macOS or a Windows machine, see Install the Tanzu CLI and Other Tools.
The bootstrap machine must meet the following prerequisites:
sfo01-w01-vds01-tkgmanagement
.To install Tanzu CLI, Tanzu Plugins, and Kubectl utility on the bootstrap machine, follow the instructions below: 1. Copy files to the bootstrap machine.
Copy the following files downloaded in Bastion host through a USB thumb drive or other medium: * Image TAR files * YAML files
Copy the following Linux CLI packages from Bastion host:
Execute the following commands to install Tanzu Kubernetes Grid CLI, kubectl CLIs, and Carvel tools:
## Install required packages
install tar, zip, unzip, wget
## Install Tanzu Kubernetes Grid CLI
tar -xvf tanzu-cli-bundle-linux-amd64.tar.gz
cd ./cli/
sudo install core/v0.28.0/tanzu-core-linux_amd64 /usr/local/bin/tanzu
chmod +x /usr/local/bin/tanzu
## Verify Tanzu CLI version
# tanzu version
version: v0.28.0
buildDate: 2023-01-20
sha: 6288c751-dirty
Install the isolated-cluster plug-in on the offline bootstrap machine:
tanzu plugin install isolated-cluster --local standalone-plugins/
docker login <URL>
NoteIf your private registry uses a self-signed certificate, save the CA certificate of the registry in “/etc/docker/certs.d/registry.example.com/ca.crt”
tanzu isolated-cluster upload-bundle --source-directory <SOURCE-DIRECTORY> --destination-repo <DESTINATION-REGISTRY> --ca-certificate <SECURITY-CERTIFICATE>
Example:- tanzu isolated-cluster upload-bundle --source-directory ./ --destination-repo registry.example.com/library --ca-certificate /etc/docker/certs.d/registry.example.com/ca.crt
Notewe can skip step 3, 4, and 5 if the Bastion host accesses the private registry directly. You can directly upload the files from the Bastion host to the private registry.
Install the kubectl utility.
gunzip kubectl-linux-v1.24.9+vmware.1.gz
mv kubectl-linux-v1.24.9+vmware.1.gz /usr/local/bin/kubectl && chmod +x /usr/local/bin/kubectl
Run the kubectl version --short=true
to check that the correct version of kubectl is installed and executable.
Configure the environment variables.
In an air-gap environment, if you run the tanzu init
or tanzu plugin sync
commands, the command hangs and times out after some time with the following error:
[root@bootstrap ~]# tanzu init
Checking for required plugins...
unable to list plugin from discovery 'default': error while processing package: failed to get resource files from discovery: Checking if image is bundle: Fetching image: Get "https://projects.registry.vmware.com/v2/": dial tcp 10.188.25.227:443: i/o timeout
All required plugins are already installed and up-to-date
✔ successfully initialized CLI
[root@bootstrap ~]# tanzu plugin sync
Checking for required plugins...
unable to list plugin from discovery 'default': error while processing package: failed to get resource files from discovery: Checking if image is bundle: Fetching image: Get "https://projects.registry.vmware.com/v2/": dial tcp 10.188.25.227:443: i/o timeout
All required plugins are already installed and up-to-date
✔ Done
By default the Tanzu global config file, config.yaml
, which gets created when you first run tanzu init
command, points to the repository URL https://projects.registry.vmware.com to fetch the Tanzu plugins for installation. Because there is no Internet in the environment, the commands fails after some time.
To ensure that Tanzu Kubernetes Grid always pulls images from the local private registry, run the Tanzu export
command to add TKG_CUSTOM_IMAGE_REPOSITORY
to the global Tanzu CLI configuration file, ~/.config/tanzu/config.yaml
.
If your image registry is configured with a public signed CA certificate, set the following environment variables.
export TKG_CUSTOM_IMAGE_REPOSITORY=custom-image-repository.io/yourproject
export TKG_CUSTOM_IMAGE_REPOSITORY_SKIP_TLS_VERIFY=false
If your registry solution uses self-signed certificates, also add TKG_CUSTOM_IMAGE_REPOSITORY_CA_CERTIFICATE in base64-encoded format to the global Tanzu CLI configuration file. For self-signed certificates, set the following environment variables:
export TKG_CUSTOM_IMAGE_REPOSITORY=custom-image-repository.io/yourproject
export TKG_CUSTOM_IMAGE_REPOSITORY_SKIP_TLS_VERIFY=false
export TKG_CUSTOM_IMAGE_REPOSITORY_CA_CERTIFICATE LS0t[...]tLS0tLQ==
NoteIf we reboot the VM, above configuration will be set to default.
Initialize Tanzu Kubernetes Grid and install Tanzu CLI plugins.
### Initialize Tanzu Kubernetes Grid
tanzu config init
## (Optional) Remove existing plugins from any previous CLI installations.
tanzu plugin clean
tanzu plugin sync
After installing the tanzu plugins, run the tanzu plugin list command to check the plugins version and installation status.
Install Carvel tools.
Tanzu Kubernetes Grid uses the following tools from the Carvel open-source project:
imgpkg - a tool that enables Kubernetes to store configurations and the associated container images as OCI images, and to transfer these images.
Install ytt
cd ./cli
ytt-linux-amd64-v0.43.1+vmware.1.gz
chmod ugo+x ytt-linux-amd64-v0.43.1+vmware.1 && mv ./ytt-linux-amd64-v0.43.1+vmware.1 /usr/local/bin/ytt
Run ytt --version
to check that the correct version of ytt is installed and executable
Install kapp.
gunzip kapp-linux-amd64-v0.53.2+vmware.1.gz
chmod ugo+x kapp-linux-amd64-v0.53.2+vmware.1 && mv ./kapp-linux-amd64-v0.53.2+vmware.1 /usr/local/bin/kapp
Run kapp --version
to check that the correct version of kapp is installed and executable.
Install kbld.
gunzip kbld-linux-amd64-v0.35.1+vmware.1.gz
chmod ugo+x kbld-linux-amd64-v0.35.1+vmware.1 && mv ./kbld-linux-amd64-v0.35.1+vmware.1 /usr/local/bin/kbld
Run kbld --version
to check that the correct version of kbld is installed and executable.
Install imgpkg.
gunzip imgpkg-linux-amd64-v0.31.1+vmware.1.gz
chmod ugo+x imgpkg-linux-amd64-v0.31.1+vmware.1 && mv ./imgpkg-linux-amd64-v0.31.1+vmware.1 /usr/local/bin/imgpkg
Run imgpkg --version
to check that the correct version of imgpkg is installed and executable.
Install yq.
yq a lightweight and portable command-line YAML processor. Download yq
tar -zxvf yq_linux_amd64.tar.gz
mv yq_linux_amd64 /usr/local/bin/
Run the yq -V
command to check that the correct version of yq is installed and executable.
Run the following commands to start the Docker service and enable it to start at boot. Photon OS has Docker installed by default.
## Check Docker service status
systemctl status docker
## Start Docker Service
systemctl start docker
## To start Docker Service at boot
systemctl enable docker
Execute the following commands to ensure that the bootstrap machine uses cgroup v1.
docker info | grep -i cgroup
## You should see the following
Cgroup Driver: cgroupfs
Create an SSH key-pair.
This is required for Tanzu CLI to connect to vSphere from the bootstrap machine. The public key part of the generated key will be passed during the Tanzu Kubernetes Grid management cluster deployment.
### Generate public/Private key pair.
ssh-keygen -t rsa -b 4096 -C "[email protected]"
### Add the private key to the SSH agent running on your machine and enter the password you created in the previous step
ssh-add ~/.ssh/id_rsa
### If the above command fails, execute "eval $(ssh-agent)" and then rerun the command.
Make a note of the public key from the file $home/.ssh/id_rsa.pub. You need this while creating a config file for deploying the Tanzu Kubernetes Grid management cluster.
If your bootstrap machine runs Linux or Windows Subsystem for Linux, and it has a Linux kernel built after the May 2021 Linux security patch, for example Linux 5.11 and 5.12 with Fedora, run the following command.
sudo sysctl net/netfilter/nf_conntrack_max=131072
Before you proceed with the management cluster creation, ensure that the base image template is imported into vSphere and is available as a template. To import a base image template into vSphere:
Go to the Tanzu Kubernetes Grid downloads page and download a Tanzu Kubernetes Grid OVA for the cluster nodes.
For the management cluster, this must be either Photon or Ubuntu based Kubernetes v1.23.8 OVA.
NoteCustom OVA with a custom Tanzu Kubernetes release (TKr) is also supported, as described in Build Machine Images.
For workload clusters, OVA can have any supported combination of OS and Kubernetes version, as packaged in a Tanzu Kubernetes release.
NoteMake sure you download the most recent OVA base image templates in the event of security patch releases. You can find updated base image templates that include security patches on the Tanzu Kubernetes Grid product download page.
In the vSphere client, right-click an object in the vCenter Server inventory and select Deploy OVF template.
Select Local file, click the button to upload files, and select the downloaded OVA file on your local machine.
Follow the installer prompts to deploy a VM from the OVA.
Click Finish to deploy the VM. When the OVA deployment finishes, right-click the VM and select Template > Convert to Template.
NoteDo not power on the VM before you convert it to a template.
For information about how to create the user and role for Tanzu Kubernetes Grid, see Required Permissions for the vSphere Account.
Create a content library following the instructions provided in Create a Library in VMware vSphere documentation. You will store the NSX Advanced Load Balancer OVA in the library.
To import the OVA into the content library, see Import Items to a Content Library.
NSX Advanced Load Balancer (ALB) is an enterprise-grade integrated load balancer that provides L4 - L7 load balancer support. It is recommended for vSphere deployments without NSX-T, or when there are unique scaling requirements.
NSX Advanced Load Balancer is deployed in Write Access Mode in the vSphere Environment. This mode grants NSX Advanced Load Balancer controllers full write access to vCenter that helps in automatically creating, modifying, and removing service engines (SEs) and other resources as needed to adapt to changing traffic needs.
The following table provides a sample IP address and FQDN set for the NSX Advanced Load Balancer controllers:
Controller Node | IP Address | FQDN |
---|---|---|
Node 1 Primary | 172.16.10.11 | sfo01albctlr01a.sfo01.rainpole.local |
Node 2 Secondary | 172.16.10.12 | sfo01albctlr01b.sfo01.rainpole.local |
Node 3 Secondary | 172.16.10.13 | sfo01albctlr01c.sfo01.rainpole.local |
HA Address | 172.16.10.10 | sfo01albctlr01.sfo01.rainpole.local |
Follow these steps to deploy and configure NSX Advanced Load Balancer:
As part of the prerequisites, you must have the NSX Advanced Load Balancer 21.1.4 OVA downloaded and imported to the content library. Deploy the NSX Advanced Load Balancer under the resource pool “nsx-alb-components” and place it under the folder “nsx-alb-components”.
To deploy NSX Advanced Load Balancer, complete the following steps.
On the Ready to complete page, review the page and click Finish.
A new task for creating the virtual machine appears in the Recent Tasks pane. After the task is complete, the NSX Advanced Load Balancer virtual machine is created on the selected resource. Power on the virtual machine and give it a few minutes for the system to boot. Upon successful boot up, go to NSX Advanced Load Balancer on your browser.
NoteWhile the system is booting up, a blank web page or a 503 status code may appear.
After NSX Advanced Load Balancer is successfully deployed and running, go to NSX Advanced Load Balancer on your browser using the URL https://<IP/FQDN> and configure the basic system settings:
Set admin password and click Create Account.
On the Welcome page, under System Settings, set backup passphrase and provide DNS information, and click Next.
Under Email/SMTP, provide email and SMTP information, and click Next.
Under Multi-Tenant, configure settings as follows and click Save.
If you did not select the Setup Cloud After option before saving, the initial configuration wizard exits. The Cloud configuration window does not automatically launch and you are directed to a dashboard view on the controller.
To configure NTP, go to Administration > Settings > DNS/NTP > Edit and add your NTP server details and click Save.
NoteYou may also delete the default NTP servers.
You can configure the license tier as NSX ALB Enterprise or NSX ALB Essentials for VMware Tanzu as per the feature requirement. This section focuses on enabling NSX Advanced Load Balancer using Enterprise Tier (VMware NSX ALB Enterprise) license model.
To configure licensing, go to Administration > Settings > Licensing, and click on the gear icon to change the license type to Enterprise.
Select Enterprise Tier as the license type and click Save.
Once the license tier is changed, apply the NSX Advanced Load Balancer Enterprise license key. If you have a license file instead of a license key, apply the license by clicking on the Upload a License File(.lic) option.
In a production environment, it is recommended to deploy additional controller nodes and configure the controller cluster for high availability and disaster recovery. Adding 2 additional nodes to create a 3-node cluster provides node-level redundancy for the controller and also maximizes performance for CPU-intensive analytics functions.
To run a 3-node controller cluster, you deploy the first node and perform the initial configuration, and set the cluster IP address. After that, you deploy and power on two more controller VMs, but you must not run the initial configuration wizard or change the admin password for these controllers VMs. The configuration of the first controller VM is assigned to the two new controller VMs.
The first controller of the cluster receives the Leader role. The second and third controllers work as Follower.
Complete the following steps to configure NSX Advanced Load Balancer cluster.
Log in to the primary NSX Advanced Load Balancer controller and go to Administrator > Controller > Nodes, and click Edit.
Specify Name and Controller Cluster IP, and click Save. This IP address must be from the NSX Advanced Load Balancer management network.
Deploy the 2nd and 3rd NSX Advanced Load Balancer controller nodes by using steps in Deploy NSX Advanced Load Balancer.
Log into the primary NSX Advanced Load Balancer controller using the Controller Cluster IP/FQDN and go to Administrator > Controller > Nodes, and click Edit. The Edit Controller Configuration popup appears.
In the Cluster Nodes field, enter the IP address for the 2nd and 3rd controller, and click Save.
After you complete these steps, the primary NSX Advanced Load Balancer controller becomes the leader for the cluster and invites the other controllers to the cluster as members.
NSX Advanced Load Balancer then performs a warm reboot of the cluster. This process can take approximately 10-15 minutes. You are automatically logged out of the controller node where you are currently logged in. Enter the cluster IP address in the browser, to see details about the cluster formation task.
The configuration of the primary (leader) controller is synchronized to the new member nodes when the cluster comes online following the reboot. After the cluster is successfully formed, you can see the following status:
NoteIn the following tasks, all NSX Advanced Load Balancer configurations are done by connecting to the NSX ALB Controller Cluster IP/FQDN.
The default system-generated controller certificate generated for SSL/TSL connections will not have the required subject alternate name (SAN) entries. Complete the following steps to create a controller certificate:
Log in to the NSX Advanced Load Balancer controller and go to Templates > Security > SSL/TLS Certificates.
Click Create and select Controller Certificate. You can either generate a self-signed certificate, generate CSR, or import a certificate. For the purpose of this document, a self-signed certificate is generated.
Provide all required details as per your infrastructure requirements and in the Subject Alternate Name (SAN) field, provide IP address and FQDN of all NSX Advanced Load Balancer controllers including NSX Advanced Load Balancer cluster IP and FQDN, and click Save.
After the certificate is created, capture the certificate contents as this is required while deploying the Tanzu Kubernetes Grid management cluster. To capture the certificate content, click on the Download icon next to the certificate, and click Copy to clipboard under Certificate.
To replace the certificate, go to Administration > Settings > Access Settings, and click the pencil icon at the top right to edit the system access settings, and then replace the SSL/TSL certificate and click Save.
Log out and log in to NSX Advanced Load Balancer.
NSX Advanced Load Balancer can be deployed in multiple environments for the same system. Each environment is called a cloud. The following procedure provides steps on how to create a VMware vCenter cloud, and as shown in the architecture two service engine (SE) groups are created.
Service Engine Group 1: Service engines part of this service engine group hosts:
Service Engine Group 2: Service engines part of this service engine group hosts virtual services that load balances control plane nodes and virtual services for all load balancer functionalities requested by the workload clusters mapped to this SE group.
Note- Based on your requirements, you can create additional SE groups for the workload clusters. - Multiple workload clusters can be mapped to a single SE group. - A Tanzu Kubernetes Grid cluster can be mapped to only one SE group for application load balancer services. - Control plane VIP for the workload clusters will be placed on the respective Service Engine group assigned through AKO Deployment Config (ADC) during cluster creation.
For information about mapping a specific service engine group to Tanzu Kubernetes Grid workload cluster, see Configure NSX Advanced Load Balancer in Tanzu Kubernetes Grid Workload Cluster.
Log in to NSX Advanced Load Balancer and go to Infrastructure > Clouds > Create > VMware vCenter/vSphere ESX.
Under General pane, in the Name field, enter a Cloud name.
Under the vCenter/vSphere pane, specify the vCenter address, Username, and Password, and click CONNECT.
Under the Data Center pane, choose the data center from the Data Center drop-down menu.Select Content Library for SE template and click SAVE & LAUNCH.
Select the Management Network from the Management Network drop-down menu to choose the NSX Advanced Load Balancer management network for service engines. Enter a static IP address pool for SEs and VIP, and click Complete.
Wait for the cloud to get configured and the status to turn green.
To create a service engine group for Tanzu Kubernetes Grid management clusters, under the Infrastructure tab, go to Cloud Resources > Service Engine Group. From the Select Cloud drop-down menu, select the cloud created in the previous step and click Create.
The following components are created in NSX Advanced Load Balancer.
Object | Sample Name |
---|---|
vCenter Cloud | sfo01w01vc01 |
Service Engine Group 1 | sfo01m01segroup01 |
Service Engine Group 2 | sfo01w01segroup01 |
Enter a name for the Tanzu Kubernetes Grid management service engine group and set the following parameters:
Parameter | Value |
---|---|
High availability mode | Active/Active - NSX ALB Enterprise edition. Active/Standby - NSX ALB Essentials for Tanzu edition. |
Enable Service Engine Self Election | Supported with NSX ALB Enterprise edition. |
Memory for caching | Supported with NSX ALB Enterprise edition. You must set the value to 0 for essentials. |
Memory per Service Engine | 4 |
vCPU per Service Engine | 2 |
Use the default values for the rest of the parameters.
For advanced configuration, click on the Advanced tab, specify a specific cluster and datastore for service engine placement. AFter that, change the NSX_ALB SE folder name and service engine name prefix, and click Save.
Repeat steps 7 and 8 to create another service engine group for Tanzu Kubernetes Grid workload clusters. After completing this step, you will have created two service engine groups.
As part of the cloud creation in NSX Advanced Load Balancer, only management network has been configured in NSX Advanced Load Balancer. Complete the following steps to configure these networks:
TKG Workload VIP/Data Network
Log in to NSX Advanced Load Balancer and go to Infrastructure > Cloud Resources > Networks.
Select the desired cloud. All the networks available in vCenter are listed.
Click on the edit icon next for the network and configure as follows. Change the provided details as per your SDDC configuration.
NoteNot all networks are auto-discovered. For those networks, manually add the subnet.
Network Name | DHCP | Subnet | Static IP Pool |
---|---|---|---|
sfo01-w01-vds01-tkgmanagement | Yes | 172.16.40.0/24 | NA |
sfo01-w01-vds01-tkgworkload | Yes | 172.16.60.0/24 | NA |
sfo01-w01-vds01-tkgclustervip | No | 172.16.80.0/24 | 172.16.80.100 - 172.16.80.200 |
sfo01-w01-vds01-tkgmanagementvip | No | 172.16.50.0/24 | 172.16.50.100 - 172.16.50.200 |
sfo01-w01-vds01-tkgworkloadvip | No | 172.16.70.0/24 | 172.16.70.100 - 172.16.70.200 |
The following snippet shows an example network configuration: sfo01-w01-vds01-tkgclustervip
, Same configuration should be applied in sfo01-w01-vds01-tkgmanagementvip and sfo01-w01-vds01-tkgworkloadvip
sfo01-w01-vds01-tkgmanagement and sfo01-w01-vds01-tkgworkload network should be enabled with DHCP
After the networks are configured, the configuration must look like the following image.
At this point, all the required networks related to Tanzu functionality are configured in NSX Advanced Load Balancer, except for Tanzu Kubernetes Grid management and workload network which uses DHCP. NSX Advanced Load Balancer provides IPAM service for Tanzu Kubernetes Grid cluster VIP network, management VIP network, and workload VIP network.
Complete the following steps to create an IPAM profile and attach it to the vCenter cloud created earlier.
Log in to NSX Advanced Load Balancer and go to Templates > Profiles > IPAM/DNS Profiles > Create > IPAM Profile, provide the following details, and click Save.
Parameter | Value |
---|---|
Name | sfo01-w01-vcenter-ipam-01 |
Type | AVI Vintage IPAM |
Cloud for Usable Networks | Tanzu-vcenter-01 (created earlier in this deployment) |
Usable Networks | sfo01-w01-vds01-tkgclustervip sfo01-w01-vds01-tkgmanagementvip sfo01-w01-vds01-tkgworkloadvip |
Click Create > DNS Profile and provide the domain name.
Attach the IPAM and DNS profiles to the sfo01w01vc01
cloud.
This completes the NSX Advanced Load Balancer configuration. The next step is to deploy and configure a bootstrap machine. The bootstrap machine is used to deploy and manage Tanzu Kubernetes clusters.
The management cluster is a Kubernetes cluster that runs Cluster API operations on a specific cloud provider to create and manage workload clusters on that provider.
The management cluster is also where you configure the shared and in-cluster services that the workload clusters use.
You may deploy management clusters in the following ways:
Run the Tanzu Kubernetes Grid installer, a wizard interface that guides you through the process of deploying a management cluster.
Create and edit YAML configuration files, and use them with Tanzu CLI commands to deploy a management cluster.
Before creating a management cluster using the Tanzu CLI, you must define its configuration in a YAML configuration file that provides the base configuration for the cluster. When you deploy the management cluster from the CLI, you specify the YAML file by using the --file
option of the tanzu mc create
command.
In an air-gap environment, we recommend deploying a management cluster using a YAML configuration file. You can use the templates provided in the following section to deploy management clusters on vSphere.
The templates include all of the options that are relevant to deploying management clusters on vSphere. You can copy this template and use it to deploy management clusters to vSphere.
ImportantThe environment variables that you have set, override values from a cluster configuration file. To use all settings from a cluster configuration file, remove any conflicting environment variables before you deploy the management cluster from the CLI.
Image repository configuration is very important details which will not be part of default config file when we are creating from TKG UI.
#! ---------------------------------------------------------------------
#! Basic cluster creation configuration
#! ---------------------------------------------------------------------
CLUSTER_NAME:
CLUSTER_PLAN: <dev/prod>
INFRASTRUCTURE_PROVIDER: vsphere
ENABLE_CEIP_PARTICIPATION: <true/false>
ENABLE_AUDIT_LOGGING: <true/false>
CLUSTER_CIDR: 100.96.0.0/11
SERVICE_CIDR: 100.64.0.0/13
# CAPBK_BOOTSTRAP_TOKEN_TTL: 30m
#! ---------------------------------------------------------------------
#! vSphere configuration
#! ---------------------------------------------------------------------
VSPHERE_SERVER:
VSPHERE_USERNAME:
VSPHERE_PASSWORD:
VSPHERE_DATACENTER:
VSPHERE_RESOURCE_POOL:
VSPHERE_DATASTORE:
VSPHERE_FOLDER:
VSPHERE_NETWORK: <tkg-management-network>
VSPHERE_CONTROL_PLANE_ENDPOINT: #Leave blank as VIP network is configured in NSX ALB and IPAM is configured with VIP network
# VSPHERE_TEMPLATE:
VSPHERE_SSH_AUTHORIZED_KEY:
VSPHERE_TLS_THUMBPRINT:
VSPHERE_INSECURE: <true/false>
DEPLOY_TKG_ON_VSPHERE7: true
#! ---------------------------------------------------------------------
#! Node configuration
#! ---------------------------------------------------------------------
# SIZE:
# CONTROLPLANE_SIZE:
# WORKER_SIZE:
# OS_NAME: ""
# OS_VERSION: ""
# OS_ARCH: ""
# VSPHERE_NUM_CPUS: 2
# VSPHERE_DISK_GIB: 40
# VSPHERE_MEM_MIB: 4096
# VSPHERE_CONTROL_PLANE_NUM_CPUS: 2
# VSPHERE_CONTROL_PLANE_DISK_GIB: 40
# VSPHERE_CONTROL_PLANE_MEM_MIB: 8192
# VSPHERE_WORKER_NUM_CPUS: 2
# VSPHERE_WORKER_DISK_GIB: 40
# VSPHERE_WORKER_MEM_MIB: 4096
#! ---------------------------------------------------------------------
#! NSX Advanced Load Balancer configuration
#! ---------------------------------------------------------------------
AVI_CA_DATA_B64:
AVI_CLOUD_NAME:
AVI_CONTROL_PLANE_HA_PROVIDER: <true/false>
AVI_CONTROL_PLANE_NETWORK:
AVI_CONTROL_PLANE_NETWORK_CIDR:
AVI_CONTROLLER:
AVI_DATA_NETWORK:
AVI_DATA_NETWORK_CIDR:
AVI_ENABLE: <true/false>
AVI_LABELS:
AVI_MANAGEMENT_CLUSTER_CONTROL_PLANE_VIP_NETWORK_CIDR:
AVI_MANAGEMENT_CLUSTER_CONTROL_PLANE_VIP_NETWORK_NAME:
AVI_MANAGEMENT_CLUSTER_SERVICE_ENGINE_GROUP:
AVI_MANAGEMENT_CLUSTER_VIP_NETWORK_CIDR:
AVI_MANAGEMENT_CLUSTER_VIP_NETWORK_NAME:
AVI_PASSWORD: <base 64 encoded AVI password>
AVI_SERVICE_ENGINE_GROUP:
AVI_USERNAME:
#! ---------------------------------------------------------------------
#! Image repository configuration
#! ---------------------------------------------------------------------
TKG_CUSTOM_IMAGE_REPOSITORY: ""
TKG_CUSTOM_IMAGE_REPOSITORY_SKIP_TLS_VERIFY: false
TKG_CUSTOM_IMAGE_REPOSITORY_CA_CERTIFICATE: ""
#! ---------------------------------------------------------------------
#! Machine Health Check configuration
#! ---------------------------------------------------------------------
ENABLE_MHC:
# ENABLE_MHC_CONTROL_PLANE: <true/false>
# ENABLE_MHC_WORKER_NODE: <true/flase>
#! ---------------------------------------------------------------------
#! Identity management configuration
#! ---------------------------------------------------------------------
IDENTITY_MANAGEMENT_TYPE: "none"
#! Settings for IDENTITY_MANAGEMENT_TYPE: "oidc"
# CERT_DURATION: 2160h
# CERT_RENEW_BEFORE: 360h
# OIDC_IDENTITY_PROVIDER_CLIENT_ID:
# OIDC_IDENTITY_PROVIDER_CLIENT_SECRET:
# OIDC_IDENTITY_PROVIDER_GROUPS_CLAIM: groups
# OIDC_IDENTITY_PROVIDER_ISSUER_URL:
# OIDC_IDENTITY_PROVIDER_SCOPES: "email,profile,groups"
# OIDC_IDENTITY_PROVIDER_USERNAME_CLAIM: email
#! Settings for IDENTITY_MANAGEMENT_TYPE: "ldap"
# LDAP_BIND_DN:
# LDAP_BIND_PASSWORD:
# LDAP_HOST:
# LDAP_USER_SEARCH_BASE_DN:
# LDAP_USER_SEARCH_FILTER:
# LDAP_USER_SEARCH_USERNAME: userPrincipalName
# LDAP_USER_SEARCH_ID_ATTRIBUTE: DN
# LDAP_USER_SEARCH_EMAIL_ATTRIBUTE: DN
# LDAP_USER_SEARCH_NAME_ATTRIBUTE:
# LDAP_GROUP_SEARCH_BASE_DN:
# LDAP_GROUP_SEARCH_FILTER:
# LDAP_GROUP_SEARCH_USER_ATTRIBUTE: DN
# LDAP_GROUP_SEARCH_GROUP_ATTRIBUTE:
# LDAP_GROUP_SEARCH_NAME_ATTRIBUTE: cn
# LDAP_ROOT_CA_DATA_B64:
For a full list of configurable values and to learn more about the fields present in the template file, see Tanzu Configuration File Variable Reference.
Create a file using the values provided in the template and save the file with a .yaml
extension. See Appendix Section for a sample YAML file to use for deploying a management cluster.
After you have created or updated the cluster configuration file, you can deploy a management cluster by running the tanzu mc create --file CONFIG-FILE
command, where CONFIG-FILE is the name of the configuration file. Below is the sample config file for deploying the TKG Management cluster in an air-gapped environment.
#! ---------------------------------------------------------------------
#! Basic cluster creation configuration
#! ---------------------------------------------------------------------
CLUSTER_NAME: sfo01w01vc01
CLUSTER_PLAN: prod
INFRASTRUCTURE_PROVIDER: vsphere
ENABLE_CEIP_PARTICIPATION: "true"
ENABLE_AUDIT_LOGGING: "true"
CLUSTER_CIDR: 100.96.0.0/11
SERVICE_CIDR: 100.64.0.0/13
# CAPBK_BOOTSTRAP_TOKEN_TTL: 30m
#! ---------------------------------------------------------------------
#! vSphere configuration
#! ---------------------------------------------------------------------
VSPHERE_SERVER: sfo01w01vc01.sfo01.rainpole.local
VSPHERE_USERNAME: [email protected]
VSPHERE_PASSWORD: <encoded:Vk13YXJlMSE=>
VSPHERE_DATACENTER: /sfo01w01dc01
VSPHERE_RESOURCE_POOL: /sfo01w01dc01/host/tkg-management-components/Resources/tkg-management-components
VSPHERE_DATASTORE: /sfo01w01dc01datastore/vsanDatastore
VSPHERE_FOLDER: /sfo01w01dc01vm/tkg-management-components
VSPHERE_NETWORK: /sfo01w01dc01/network/sfo01-w01-vds01-tkgmanagement
VSPHERE_CONTROL_PLANE_ENDPOINT: #Leave blank as VIP network is configured in NSX ALB and IPAM is configured with VIP network
# VSPHERE_TEMPLATE:
VSPHERE_SSH_AUTHORIZED_KEY: ssh-rsa AAAA[...]== [email protected]
VSPHERE_TLS_THUMBPRINT: DC:FA:81:1D:CA:08:21:AB:4E:15:BD:2B:AE:12:2C:6B:CA:65:49:B8
VSPHERE_INSECURE: "false"
DEPLOY_TKG_ON_VSPHERE7: true
#! ---------------------------------------------------------------------
#! Node configuration
#! ---------------------------------------------------------------------
OS_NAME: photon
OS_VERSION: "3"
OS_ARCH: amd64
VSPHERE_CONTROL_PLANE_NUM_CPUS: 2
VSPHERE_CONTROL_PLANE_DISK_GIB: 40
VSPHERE_CONTROL_PLANE_MEM_MIB: 8192
VSPHERE_WORKER_NUM_CPUS: 2
VSPHERE_WORKER_DISK_GIB: 40
VSPHERE_WORKER_MEM_MIB: 8192
#! ---------------------------------------------------------------------
#! NSX Advanced Load Balancer configuration
#! ---------------------------------------------------------------------
AVI_CA_DATA_B64: LS0t[...]tLS0tLQ==
AVI_CLOUD_NAME: sfo01w01vc01
AVI_CONTROL_PLANE_HA_PROVIDER: "true"
AVI_CONTROL_PLANE_NETWORK: sfo01-w01-vds01-tkgclustervip
AVI_CONTROL_PLANE_NETWORK_CIDR: 172.16.80.0/24
AVI_CONTROLLER: sfo01albctlr01.sfo01.rainpole.local
AVI_DATA_NETWORK: sfo01-w01-vds01-tkgworkloadvip
AVI_DATA_NETWORK_CIDR: 172.16.70.0/24
AVI_ENABLE: "true"
AVI_LABELS:
AVI_MANAGEMENT_CLUSTER_CONTROL_PLANE_VIP_NETWORK_CIDR: 172.16.80.0/24
AVI_MANAGEMENT_CLUSTER_CONTROL_PLANE_VIP_NETWORK_NAME: sfo01-w01-vds01-tkgclustervip
AVI_MANAGEMENT_CLUSTER_SERVICE_ENGINE_GROUP: sfo01m01segroup01
AVI_MANAGEMENT_CLUSTER_VIP_NETWORK_CIDR: 172.16.50.0/24
AVI_MANAGEMENT_CLUSTER_VIP_NETWORK_NAME: sfo01-w01-vds01-tkgmanagementvip
AVI_PASSWORD: <encoded:Vk13YXJlMSE=>
AVI_SERVICE_ENGINE_GROUP: sfo01w01segroup01
AVI_USERNAME: admin
#! ---------------------------------------------------------------------
#! Image repository configuration
#! ---------------------------------------------------------------------
TKG_CUSTOM_IMAGE_REPOSITORY: "harbor-sa.lab.vmw/tkg-160"
TKG_CUSTOM_IMAGE_REPOSITORY_SKIP_TLS_VERIFY: false
TKG_CUSTOM_IMAGE_REPOSITORY_CA_CERTIFICATE: LS0t[...]tLS0tLQ==
#! ---------------------------------------------------------------------
#! Machine Health Check configuration
#! ---------------------------------------------------------------------
ENABLE_MHC: true
#! ---------------------------------------------------------------------
#! Identity management configuration
#! ---------------------------------------------------------------------
IDENTITY_MANAGEMENT_TYPE: "none"
#! ---------------------------------------------------------------------
To create Management Cluster execute the following command:
tanzu management-cluster create --file config.yaml
The cluster deployment logs are streamed in the terminal when you run the tanzu mc create
command. The first run of tanzu mc create
takes longer than subsequent runs because it has to pull the required Docker images into the image store on your bootstrap machine. Subsequent runs do not require this step, and thus the process is faster.
While the cluster is being deployed, you will find that a virtual service is created in NSX Advanced Load Balancer and new service engines are deployed in vCenter by NSX Advanced Load Balancer. The service engines are mapped to the SE Group sfo01m01segroup01
.
Now you can access the Tanzu Kubernetes Grid management cluster from the bootstrap machine and perform additional tasks such as verifying the management cluster health and deploying the workload clusters.
To get the status of the Tanzu Kubernetes Grid management cluster execute the following command:
tanzu management-cluster get
To interact with the management cluster using the kubectl command, retrieve the management cluster kubeconfig
and switch to the cluster context to run kubectl commands.
# kubectl config get-contexts
Get Context of Management cluster
]# kubectl config use-context sfo01w01tkgmgmt01-admin@sfo01w01tkgmgmt01
Switched to context "sfo01w01tkgmgmt01-admin@sfo01w01tkgmgmt01".
]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
sfo01w01tkgmgmt01-b6tjz-rg7x8 Ready control-plane 36h v1.24.9+vmware.1
sfo01w01tkgmgmt01-b6tjz-tm9rw Ready control-plane 6d21h v1.24.9+vmware.1
sfo01w01tkgmgmt01-md-0-dsn6c-76c9f9487c-r7ntc Ready <none> 6d21h v1.24.9+vmware.1
sfo01w01tkgmgmt01-md-1-k6cs9-5bc955d8db-c6gs6 Ready <none> 6d21h v1.24.9+vmware.1
sfo01w01tkgmgmt01-md-2-7djsl-54f5dcc497-lktjs Ready <none> 6d21h v1.24.9+vmware.1
# kubectl get apps -A
NAMESPACE NAME DESCRIPTION SINCE-DEPLOY AGE
tkg-system ako-operator Reconcile succeeded 2m42s 15m
tkg-system antrea Reconcile succeeded 22s 15m
tkg-system load-balancer-and-ingress-service Reconcile succeeded 47s 11m
tkg-system metrics-server Reconcile succeeded 2m58s 15m
tkg-system secretgen-controller Reconcile succeeded 2m8s 15m
tkg-system tanzu-addons-manager Reconcile succeeded 2m59s 33m
tkg-system tanzu-core-management-plugins Reconcile succeeded 12m 32m
tkg-system tanzu-featuregates Reconcile succeeded 92s 32m
tkg-system vsphere-cpi Reconcile succeeded 86s 15m
tkg-system vsphere-csi Reconcile succeeded 77s 15m
The Tanzu Kubernetes Grid management cluster is successfully deployed. You can now proceed with configuring custom ADCs and creating shared services & workload clusters.
Tanzu Kubernetes Grid v2.1.0 management clusters with NSX Advanced Load Balancer are deployed with 2 AKODeploymentConfigs.
install-ako-for-management-cluster
: default configuration for management clusterinstall-ako-for-all
: default configuration for all workload clusters. By default, all the workload clusters reference this file for their virtual IP networks and service engine (SE) groups. This ADC configuration does not enable NSX L7 Ingress by default.As per this Tanzu deployment, create 2 more ADCs:
tanzu-ako-for-shared
: Used by shared services cluster to deploy the virtual services in TKG Mgmt SE Group
and the loadbalancer applications in TKG Management VIP Network
.
tanzu-ako-for-workload-L7-ingress
: Use this ADC only if you would like to enable NSX Advanced Load Balancer L7 ingress on workload cluster. Otherwise, leave the cluster labels empty to apply the network configuration from default ADC install-ako-for-all
.
As per the defined architecture, shared services cluster uses the same control plane and data plane network as the management cluster. Shared services cluster control plane endpoint uses TKG Cluster VIP Network
, application loadbalancing uses TKG Management Data VIP network
and the virtual services are deployed in sfo01m01segroup01
SE group. This configuration is enforced by creating a custom AKO Deployment Config (ADC) and applying the respective NSXALB_LABELS
while deploying the shared services cluster.
The format of the AKODeploymentConfig YAML file is as follows.
apiVersion: networking.tkg.tanzu.vmware.com/v1alpha1
kind: AKODeploymentConfig
metadata:
finalizers:
- ako-operator.networking.tkg.tanzu.vmware.com
generation: 2
name: <Unique name of AKODeploymentConfig>
spec:
adminCredentialRef:
name: nsx-alb-controller-credentials
namespace: tkg-system-networking
certificateAuthorityRef:
name: nsx-alb-controller-ca
namespace: tkg-system-networking
cloudName: <NAME OF THE CLOUD in ALB>
clusterSelector:
matchLabels:
<KEY>: <VALUE>
controlPlaneNetwork:
cidr: <TKG-Cluster-VIP-CIDR>
Name: <TKG-Cluster-VIP-Network>
controller: <NSX ALB CONTROLLER IP/FQDN>
dataNetwork:
cidr: <TKG-Mgmt-Data-VIP-CIDR>
name: <TKG-Mgmt-Data-VIP-Name>
extraConfigs:
cniPlugin: antrea
disableStaticRouteSync: true
ingress:
defaultIngressController: false
disableIngressClass: true
nodeNetworkList:
- networkName: <TKG-Mgmt-Network>
serviceEngineGroup: <Mgmt-Cluster-SEG>
The sample AKODeploymentConfig with sample values in place is as follows. You should add the respective NSX_ALB label type=shared-services
while deploying shared services cluster to enforce this network configuration.
sfo01w01vc01
sfo01m01segroup01
sfo01-w01-vds01-tkgclustervip
sfo01-w01-vds01-tkgmanagementvip
sfo01-w01-vds01-tkgmanagement
apiVersion: networking.tkg.tanzu.vmware.com/v1alpha1
kind: AKODeploymentConfig
metadata:
finalizers:
- ako-operator.networking.tkg.tanzu.vmware.com
generation: 2
labels:
name: tanzu-ako-for-shared
spec:
adminCredentialRef:
name: NSX_ALB-controller-credentials
namespace: tkg-system-networking
certificateAuthorityRef:
name: NSX_ALB-controller-ca
namespace: tkg-system-networking
cloudName: sfo01w01vc01
clusterSelector:
matchLabels:
type: shared-services
controlPlaneNetwork:
cidr: 172.16.80.0/24
name: sfo01-w01-vds01-tkgclustervip
controller: sfo01albctlr01.sfo01.rainpole.local
dataNetwork:
cidr: 172.16.50.0/24
name: sfo01-w01-vds01-tkgmanagementvip
extraConfigs:
cniPlugin: antrea
disableStaticRouteSync: true
ingress:
defaultIngressController: false
disableIngressClass: true
nodeNetworkList:
- networkName: sfo01-w01-vds01-tkgmanagement
serviceEngineGroup: sfo01m01segroup01
After you have the AKO configuration file ready, use the kubectl
command to set the context to Tanzu Kubernetes Grid management cluster and create the ADC:
# kubectl config use-context sfo01w01vc01-admin@sfo01w01vc01
Switched to context "sfo01w01vc01-admin@sfo01w01vc01".
# kubectl apply -f ako-shared-services.yaml
akodeploymentconfig.networking.tkg.tanzu.vmware.com/tanzu-ako-for-shared created
Use the following command to list all AKODeploymentConfig created under the management cluster:
# kubectl get adc
NAME AGE
install-ako-for-all 21h
install-ako-for-management-cluster 21h
tanzu-ako-for-shared 113s
VMware recommends using NSX Advanced Load Balancer L7 ingress with NodePortLocal mode for the L7 application load balancing. This is enabled by creating a custom ADC with ingress settings enabled, and then applying the NSX_ALB LABEL while deploying the workload cluster.
As per the defined architecture, workload cluster cluster control plane endpoint uses TKG Cluster VIP Network
, application loadbalancing uses TKG Workload Data VIP network
and the virtual services are deployed in sfo01w01segroup01
SE group.
Below are the changes in ADC Ingress section when compare to the default ADC.
disableIngressClass: set to false
to enable NSX ALB L7 Ingress.
nodeNetworkList: Provide the values for TKG workload network name and CIDR.
serviceType: L7 Ingress type. We recommend to use NodePortLocal
.
shardVSSize: Virtual service size.
NoteNSX ALB L7 Ingress feature requires Enterprise edition license. If you do not wish to enable L7 feature/applied with ALB essentials for Tanzu license, disable the L7 feature by setting the value
disableIngressClass
totrue
.
The format of the AKODeploymentConfig YAML file for enabling NSX ALB L7 Ingress is as follows:
apiVersion: networking.tkg.tanzu.vmware.com/v1alpha1
kind: AKODeploymentConfig
metadata:
name: <unique-name-for-adc>
spec:
adminCredentialRef:
name: NSX_ALB-controller-credentials
namespace: tkg-system-networking
certificateAuthorityRef:
name: NSX_ALB-controller-ca
namespace: tkg-system-networking
cloudName: <cloud name configured in nsx alb>
clusterSelector:
matchLabels:
<KEY>: <value>
controller: <ALB-Controller-IP/FQDN>
controlPlaneNetwork:
cidr: <TKG-Cluster-VIP-Network-CIDR>
name: <TKG-Cluster-VIP-Network-CIDR>
dataNetwork:
cidr: <TKG-Workload-VIP-network-CIDR>
name: <TKG-Workload-VIP-network-CIDR>
serviceEngineGroup: <Workload-Cluster-SEG>
extraConfigs:
cniPlugin: antrea
disableStaticRouteSync: false # required
ingress:
disableIngressClass: false # required
nodeNetworkList: # required
- networkName: <TKG-Workload-Network>
cidrs:
- <TKG-Workload-Network-CIDR>
serviceType: NodePortLocal # required
shardVSSize: MEDIUM # required
The AKODeploymentConfig with sample values in place is as follows. You must add the respective NSX ALB label workload-l7-enabled=true
while deploying shared services cluster to enforce this network configuration.
sfo01w01vc01
sfo01w01segroup01
sfo01-w01-vds01-tkgclustervip
sfo01-w01-vds01-tkgworkloadvip
sfo01-w01-vds01-tkgworkload
apiVersion: networking.tkg.tanzu.vmware.com/v1alpha1
kind: AKODeploymentConfig
metadata:
name: tanzu-ako-for-workload-l7-ingress
spec:
adminCredentialRef:
name: NSX_ALB-controller-credentials
namespace: tkg-system-networking
certificateAuthorityRef:
name: NSX_ALB-controller-ca
namespace: tkg-system-networking
cloudName: sfo01w01vc01
clusterSelector:
matchLabels:
workload-l7-enabled: "true"
controller: sfo01albctlr01.sfo01.rainpole.local
controlPlaneNetwork:
cidr: 172.16.80.0/24
name: sfo01-w01-vds01-tkgclustervip
dataNetwork:
cidr: 172.16.70.0/24
name: sfo01-w01-vds01-tkgworkloadvip
serviceEngineGroup: sfo01w01segroup01
extraConfigs:
cniPlugin: antrea
disableStaticRouteSync: false # required
ingress:
disableIngressClass: false # required
nodeNetworkList: # required
- networkName: sfo01-w01-vds01-tkgworkload
cidrs:
- 172.16.60.0/24
serviceType: NodePortLocal # required
shardVSSize: MEDIUM # required
Use the kubectl
command to set the context to Tanzu Kubernetes Grid management cluster and create the ADC:
# kubectl config use-context sfo01w01vc01-admin@sfo01w01vc01
Switched to context "sfo01w01vc01-admin@sfo01w01vc01".
# kubectl apply -f workload-adc-l7.yaml
akodeploymentconfig.networking.tkg.tanzu.vmware.com/tanzu-ako-for-workload-l7-ingress created
Use the following command to list all AKODeploymentConfig created under the management cluster:
# kubectl get adc
NAME AGE
install-ako-for-all 22h
install-ako-for-management-cluster 22h
tanzu-ako-for-shared 82m
tanzu-ako-for-workload-l7-ingress 25s
Now that you have successfully created the AKO deployment config, you need to apply the cluster labels while deploying the workload clusters to enable NSX Advanced Load Balancer L7 Ingress with NodePortLocal mode.
Each Tanzu Kubernetes Grid instance can have only one shared services cluster. Create a shared services cluster if you intend to deploy Harbor.
The procedures for deploying a shared services cluster and workload cluster are almost the same. A key difference is that for the shared service cluster you add the tanzu-services
label to the shared services cluster, as its cluster role. This label identifies the shared services cluster to the management cluster and workload clusters.
Shared services cluster uses the custom ADC tanzu-ako-for-shared
created earlier to apply the network settings similar to the management cluster. This is enforced by applying the AVI_LABEL type:shared-services
while deploying the shared services cluster.
Deployment of the shared services cluster is done by creating a YAML file and invoking the tanzu cluster create -f <file-name>
command. The YAML file used for shared services deployment is usually a bit smaller than the YAML used for the management cluster deployment because you don’t need to define the AVI fields except AVI_CONTROL_PLANE_HA_PROVIDER
& AVI_LABELS
in the YAML.
The following is a sample YAML for deploying a shared services cluster:
CLUSTER_NAME: sfo01w01shared01
CLUSTER_PLAN: prod
INFRASTRUCTURE_PROVIDER: vsphere
ENABLE_CEIP_PARTICIPATION: "true"
ENABLE_AUDIT_LOGGING: "true"
CLUSTER_CIDR: 100.96.0.0/11
SERVICE_CIDR: 100.64.0.0/13
VSPHERE_SERVER: sfo01w01vc01.sfo01.rainpole.local
VSPHERE_USERNAME: [email protected]
VSPHERE_PASSWORD: <encoded:Vk13YXJlMSE=>
VSPHERE_DATACENTER: /sfo01w01dc01
VSPHERE_RESOURCE_POOL: /sfo01w01dc01/host/sfo01w01vc01/Resources/tkg-sharedsvc-components
VSPHERE_DATASTORE: /sfo01w01dc01/datastore/vsanDatastore
VSPHERE_FOLDER: /sfo01w01dc01/vm/tkg-sharedsvc-components
VSPHERE_NETWORK: /sfo01w01dc01/network/sfo01-w01-vds01-tkgmanagement
VSPHERE_CONTROL_PLANE_ENDPOINT: #Leave blank as VIP network is configured in NSX ALB and IPAM is configured with VIP network
VSPHERE_SSH_AUTHORIZED_KEY: ssh-rsa AAAA[...]== [email protected]
VSPHERE_TLS_THUMBPRINT: DC:FA:81:1D:CA:08:21:AB:4E:15:BD:2B:AE:12:2C:6B:CA:65:49:B8
VSPHERE_INSECURE: "false"
OS_NAME: photon
OS_VERSION: "3"
OS_ARCH: amd64
VSPHERE_CONTROL_PLANE_NUM_CPUS: 2
VSPHERE_CONTROL_PLANE_DISK_GIB: 40
VSPHERE_CONTROL_PLANE_MEM_MIB: 8192
VSPHERE_WORKER_NUM_CPUS: 2
VSPHERE_WORKER_DISK_GIB: 40
VSPHERE_WORKER_MEM_MIB: 8192
AVI_CONTROL_PLANE_HA_PROVIDER: "true"
AVI_LABELS: |
'type': 'shared-services'
TKG_CUSTOM_IMAGE_REPOSITORY: "harbor-sa.lab.vmw/tkg-160"
TKG_CUSTOM_IMAGE_REPOSITORY_SKIP_TLS_VERIFY: false
TKG_CUSTOM_IMAGE_REPOSITORY_CA_CERTIFICATE: LS0t[...]tLS0tLQ==
ENABLE_MHC: true
IDENTITY_MANAGEMENT_TYPE: "none"
To create Workload Cluster execute the following command:
tanzu cluster create --file config.yaml
Cluster creation takes approximately 15-20 minutes to complete. Verify the health of the cluster and validate the cluster labels applied.
Connect to the Tanzu Management Cluster context and verify the cluster labels for the workload cluster.
## verify the workload service cluster creation
tanzu cluster list
NAME NAMESPACE STATUS CONTROLPLANE WORKERS KUBERNETES ROLES PLAN TKR
sfo01w0tkgshared01 default running 3/3 3/3 v1.24.9+vmware.1 <none> prod v1.24.9---vmware.1-tkg.1
## Connect to tkg management cluster
kubectl config use-context sfo01w01tkgmgmt01-admin@sfo01w01tkgmgmt01
## Add the tanzu-services label to the shared services cluster as its cluster role. In the following command "sfo01w01tkgshared01” is the name of the shared service cluster
kubectl label cluster.cluster.x-k8s.io/sfo01w0tkgshared01 cluster-role.tkg.tanzu.vmware.com/tanzu-services="" --overwrite=true
cluster.cluster.x-k8s.io/sfo01w0tkgshared01 labeled
## Validate that TMC has applied the AVI_LABEL while deploying the cluster
kubectl get cluster sfo01w0tkgshared01 --show-labels
NAME PHASE AGE VERSION LABELS
sfo01w0tkgshared01 Provisioned 105m cluster-role.tkg.tanzu.vmware.com/tanzu-services=,networking.tkg.tanzu.vmware.com/avi=tanzu-ako-for-shared,tanzuKubernetesRelease=v1.24.9---vmware.1-tkg.1,tkg.tanzu.vmware.com/cluster-name=sfo01w0tkgshared01,type=shared-services
Connect to admin context of the workload cluster using the following commands and validate the ako pod status.
## Use the following command to get the admin context of workload Cluster.
tanzu cluster kubeconfig get sfo01w0tkgshared01 --admin
Credentials of cluster 'sfo01w0tkgshared01' have been saved
You can now access the cluster by running 'kubectl config use-context sfo01w0tkgshared01-admin@sfo01w0tkgshared01'
## Use the following command to use the context of workload Cluster
kubectl config use-context sfo01w0tkgshared01-admin@sfo01w0tkgshared01
Switched to context "sfo01w0tkgshared01-admin@sfo01w0tkgshared01".
# Verify that ako pod gets deployed in avi-system namespace
kubectl get pods -n avi-system
NAME READY STATUS RESTARTS AGE
ako-0 1/1 Running 0 73m
# verify the nodes and pods status by running the command:
kubectl get nodes -o wide
kubectl get pods -A
Now that the shared services cluster is successfully created.
Deployment of the workload cluster** is done using a YAML similar to the shared services cluster YAML but customized for the workload cluster placement objects.
The following is a sample YAML for deploying the workload cluster.
CLUSTER_NAME: sfo01w01workload01
CLUSTER_PLAN: prod
INFRASTRUCTURE_PROVIDER: vsphere
ENABLE_CEIP_PARTICIPATION: "true"
ENABLE_AUDIT_LOGGING: "true"
CLUSTER_CIDR: 100.96.0.0/11
SERVICE_CIDR: 100.64.0.0/13
VSPHERE_SERVER: sfo01w01vc01.sfo01.rainpole.local
VSPHERE_USERNAME: [email protected]
VSPHERE_PASSWORD: <encoded:Vk13YXJlMSE=>
VSPHERE_DATACENTER: /tkgm-internet-dc1
VSPHERE_RESOURCE_POOL: /sfo01w01dc01/host/sfo01w01vc01/Resources/tkg-workload01-components
VSPHERE_DATASTORE: /sfo01w01dc01/datastore/vsanDatastore
VSPHERE_FOLDER: /sfo01w01dc01/vm/tkg-workload01-components
VSPHERE_NETWORK: /sfo01w01dc01/network/sfo01-w01-vds01-tkgworkload
VSPHERE_CONTROL_PLANE_ENDPOINT: #Leave blank as VIP network is configured in NSX ALB and IPAM is configured with VIP network
VSPHERE_SSH_AUTHORIZED_KEY: ssh-rsa AAAA[...]== [email protected]
VSPHERE_TLS_THUMBPRINT: DC:FA:81:1D:CA:08:21:AB:4E:15:BD:2B:AE:12:2C:6B:CA:65:49:B8
VSPHERE_INSECURE: "false"
OS_NAME: photon
OS_VERSION: "3"
OS_ARCH: amd64
VSPHERE_CONTROL_PLANE_NUM_CPUS: 2
VSPHERE_CONTROL_PLANE_DISK_GIB: 40
VSPHERE_CONTROL_PLANE_MEM_MIB: 8192
VSPHERE_WORKER_NUM_CPUS: 2
VSPHERE_WORKER_DISK_GIB: 40
VSPHERE_WORKER_MEM_MIB: 8192
AVI_CONTROL_PLANE_HA_PROVIDER: "true"
AVI_LABELS: |
'workload-l7-enabled': 'true'
TKG_CUSTOM_IMAGE_REPOSITORY: "harbor-sa.lab.vmw/tkg-160"
TKG_CUSTOM_IMAGE_REPOSITORY_SKIP_TLS_VERIFY: false
TKG_CUSTOM_IMAGE_REPOSITORY_CA_CERTIFICATE: LS0t[...]tLS0tLQ==
ENABLE_MHC: true
IDENTITY_MANAGEMENT_TYPE: "none"
To create Workload Cluster execute the following command:
tanzu cluster create --file config.yaml
Cluster creation roughly takes 15-20 minutes to complete. Verify the health of the cluster and apply the labels.
After the Workload cluster creation verify the cluster labels and ako pod status 1. Connect to the Tanzu Management Cluster context and verify the cluster labels for the workload cluster. ```bash ## verify the workload service cluster creation
tanzu cluster list
NAME NAMESPACE STATUS CONTROLPLANE WORKERS KUBERNETES ROLES PLAN TKR
sfo01w01shared01 default running 3/3 3/3 v1.24.9+vmware.1 <none> prod v1.24.9---vmware.1-tkg.1
sfo01w01workload01 default running 3/3 3/3 v1.24.9+vmware.1 <none> prod v1.24.9---vmware.1-tkg.1
## Connect to tkg management cluster
kubectl config use-context sfo01w01vc01-admin@sfo01w01vc01
## Validate that TMC has applied the AVI_LABEL while deploying the cluster
kubectl get cluster sfo01w01workload01 --show-labels
NAME PHASE AGE VERSION LABELS
sfo01w01workload01 Provisioned 105m networking.tkg.tanzu.vmware.com/avi=tanzu-ako-for-workload-l7-ingress,tanzuKubernetesRelease=v1.249---vmware.1-tkg.1,tkg.tanzu.vmware.com/cluster-name=sfo01w01workload01,workload-l7-enabled=true
```
<!-- /* cSpell:enable */ -->
Connect to admin context of the workload cluster using the following commands and validate the ako pod status.
## Use the following command to get the admin context of workload Cluster.
tanzu cluster kubeconfig get sfo01w01workload01 --admin
Credentials of cluster 'sfo01w01workload01' have been saved
You can now access the cluster by running 'kubectl config use-context sfo01w01workload01-admin@sfo01w01workload01'
## Use the following command to use the context of workload Cluster
kubectl config use-context sfo01w01workload01-admin@sfo01w01workload01
Switched to context "sfo01w01workload01-admin@sfo01w01workload01".
# Verify that ako pod gets deployed in avi-system namespace
kubectl get pods -n avi-system
NAME READY STATUS RESTARTS AGE
ako-0 1/1 Running 0 73m
# verify the nodes and pods status by running the command:
kubectl get nodes -o wide
kubectl get pods -A
You can see that the workload cluster is successfully deployed and the AKO pod is deployed on the cluster. You can now deploy user-managed packages on this cluster.
User-managed packages are installed after workload cluster creation. These packages extend the core functionality of Kubernetes clusters created by Tanzu Kubernetes Grid.
Tanzu Kubernetes Grid includes the following user-managed packages. These packages provide in-cluster and shared services to the Kubernetes clusters that are running in your Tanzu Kubernetes Grid environment.
Installing and Managing Packages with the Tanzu CLI
Function | Package | Location |
---|---|---|
Certificate Management | Cert Manager | Workload and shared services cluster |
Container networking | Multus | Workload cluster |
Container registry | Harbor | Shared services cluster |
Ingress control | Contour | Workload and shared services cluster |
Log forwarding | Fluent Bit | Workload cluster |
Monitoring | Grafana Prometheus |
Workload cluster |
User-managed packages can be installed via CLI by invoking the tanzu package install
command. Before installing the user-managed packages, ensure that you have switched to the context of the cluster where you want to install the packages.
Also, ensure that the tanzu-standard repository is configured on the cluster where you want to install the packages.
You can run the command tanzu package repository list -A
to verify this. Also, ensure that the repository status is Reconcile succeeded
.
]# Add Private Registry to the workload Cluster
tanzu package repository add tanzu-standard --url harbor.tanzu.lab/tanzu-170/packages/standard/repo -n tkg-system
# tanzu package repository list -A
NAME REPOSITORY TAG STATUS DETAILS
tanzu-standard harbor.tanzu.lab/tanzu-170/packages/standard/repo Reconcile succeeded
The first package that you should install on your cluster is the cert-manager package which adds certificates and certificate issuers as resource types in Kubernetes clusters and simplifies the process of obtaining, renewing and using those certificates.
Capture the available Cert Manager package versions.
# tanzu package available list cert-manager.tanzu.vmware.com -A
NAME VERSION RELEASED-AT
cert-manager.tanzu.vmware.com 1.5.3+vmware.7-tkg.1 2021-08-23 18:00:00 +0000 UTC
cert-manager.tanzu.vmware.com 1.7.2+vmware.1-tkg.1 2021-10-29 18:00:00 +0000 UTC
cert-manager.tanzu.vmware.com 1.7.2+vmware.3-tkg.1 2021-10-29 17:22:51 +0000 UTC
Install the cert-manager
package.
Capture the latest version from the previous command, if there are multiple versions available check the “RELEASED-AT” to collect the version of the latest one. This document make use of version 1.7.2+vmware.3-tkg.2 for installation.
The following command installs the cert-manager
package:
tanzu package install cert-manager --package-name cert-manager.tanzu.vmware.com --namespace package-cert-manager --version <AVAILABLE-PACKAGE-VERSION> --create-namespace
]# tanzu package install cert-manager --package-name cert-manager.tanzu.vmware.com --namespace cert-manager-package --version 1.7.2+vmware.3-tkg.1 --create-namespace
ℹ Installing package 'cert-manager.tanzu.vmware.com'
ℹ Creating namespace 'cert-manager-package'
ℹ Getting package metadata for 'cert-manager.tanzu.vmware.com'
ℹ Creating service account 'cert-manager-cert-manager-package-sa'
ℹ Creating cluster admin role 'cert-manager-cert-manager-package-cluster-role'
ℹ Creating cluster role binding 'cert-manager-cert-manager-package-cluster-rolebinding'
ℹ Creating package resource
ℹ Waiting for 'PackageInstall' reconciliation for 'cert-manager'
ℹ 'PackageInstall' resource install status: Reconciling
ℹ 'PackageInstall' resource install status: ReconcileSucceeded
ℹ 'PackageInstall' resource successfully reconciled
Confirm that the cert-manager
package has been installed successfully and the status is Reconcile succeeded
.
]# tanzu package installed get cert-manager -n cert-manager-package
NAME: cert-manager
PACKAGE-NAME: cert-manager.tanzu.vmware.com
PACKAGE-VERSION: 1.7.2+vmware.3-tkg.1
STATUS: Reconcile succeeded
CONDITIONS: [{ReconcileSucceeded True }]
USEFUL-ERROR-MESSAGE:
Contour is an open-source Kubernetes ingress controller providing the control plane for the Envoy edge and service proxy. Tanzu Kubernetes Grid includes signed binaries for Contour and Envoy, which you can deploy into workload clusters to provide ingress control services in those clusters.
After you have set up the cluster, you must first create the configuration file that is used when you install the Contour package and then install the package.
Package installation can be customized by entering the user-configurable values in YAML format. Following is an example YAML for customizing Contour installation.
---
infrastructure_provider: vsphere
namespace: tanzu-system-ingress
contour:
configFileContents: {}
useProxyProtocol: false
replicas: 2
pspNames: "vmware-system-restricted"
logLevel: info
envoy:
service:
type: LoadBalancer
annotations: {}
nodePorts:
http: null
https: null
externalTrafficPolicy: Cluster
disableWait: false
hostPorts:
enable: true
http: 80
https: 443
hostNetwork: false
terminationGracePeriodSeconds: 300
logLevel: info
pspNames: null
certificates:
duration: 8760h
renewBefore: 360h
For a full list of user-configurable values, see Configure the Contour Extension.
Capture the available Contour package versions.
# tanzu package available list contour.tanzu.vmware.com -A
NAME VERSION RELEASED-AT
contour.tanzu.vmware.com 1.22.3+vmware.1-tkg.1 2022-12-12 18:00:00 +0000 UTC
Capture the latest version from the previous command. If there are multiple versions available check the “RELEASED-AT” to collect the version of the latest one. This document make use of version 1.22.3+vmware.1-tkg.1 for installation.
Install the Contour package.
tanzu package install contour --package-name contour.tanzu.vmware.com --version <AVAILABLE-PACKAGE-VERSION> --values-file <Path_to_contour-data-values.yaml_file> --namespace tanzu-system-contour --create-namespace
# kubectl create namespace tanzu-system-ingress
# kubectl create namespace tanzu-contour-ingress
#tanzu package install contour --package-name contour.tanzu.vmware.com --version 1.22.3+vmware.1-tkg.1 --values-file ./contour-data-values.yaml --namespace tanzu-contour-ingress
ℹ Installing package 'contour.tanzu.vmware.com'
ℹ Creating namespace 'tanzu-system-ingress'
ℹ Getting package metadata for 'contour.tanzu.vmware.com'
ℹ Creating service account 'contour-tanzu-system-ingress-sa'
ℹ Creating cluster admin role 'contour-tanzu-system-ingress-cluster-role'
ℹ Creating cluster role binding 'contour-tanzu-system-ingress-cluster-rolebinding'
ℹ Creating secret 'contour-tanzu-system-ingress-values'
ℹ Creating package resource
ℹ Waiting for 'PackageInstall' reconciliation for 'contour'
ℹ 'PackageInstall' resource install status: Reconciling
ℹ 'PackageInstall' resource install status: ReconcileSucceeded
ℹ
Added installed package 'contour'
Confirm that the Contour package has been installed and the status is Reconcile succeeded
.
# tanzu package installed get contour --namespace tanzu-contour-ingress
NAME: contour
PACKAGE-NAME: contour.tanzu.vmware.com
PACKAGE-VERSION: 1.22.3+vmware.1-tkg.1
STATUS: Reconcile succeeded
CONDITIONS: [{ReconcileSucceeded True }]
USEFUL-ERROR-MESSAGE:
Harbor is an open-source container registry. Harbor Registry may be used as a private registry for container images that you want to deploy to Tanzu Kubernetes clusters.
Tanzu Kubernetes Grid includes signed binaries for Harbor, which you can deploy into:
When deployed as a shared service, Harbor is available to all of the workload clusters in a given Tanzu Kubernetes Grid instance.
Follow this procedure to deploy Harbor into a workload cluster or a shared services cluster.
Confirm that the Harbor package is available in the cluster and retrieve the version of the available package.
# tanzu package available list harbor.tanzu.vmware.com -A
- Retrieving package versions for harbor.tanzu.vmware.com...
NAME VERSION RELEASED-AT NAMESPACE
harbor.tanzu.vmware.com 2.3.3+vmware.1-tkg.1 2021-09-28 18:00:00 +0000 UTC tkg-system
harbor.tanzu.vmware.com 2.5.3+vmware.1-tkg.1 2021-09-28 18:00:00 +0000 UTC tkg-system
harbor.tanzu.vmware.com 2.6.3+vmware.1-tkg.1 2021-09-28 06:05:00 +0000 UTC tkg-system
Create a configuration file named harbor-data-values.yaml
by executing the following commands:
image_url=$(kubectl -n tkg-system get packages harbor.tanzu.vmware.com.2.6.3+vmware.1-tkg.1 -o jsonpath='{.spec.template.spec.fetch[0].imgpkgBundle.image}')
imgpkg pull -b $image_url -o /tmp/harbor-package --registry-ca-cert-path /etc/docker/certs.d/harbor.tanzu.lab/ca.crt
cp /tmp/harbor-package/config/values.yaml harbor-data-values.yaml
Set the mandatory passwords and secrets in the harbor-data-values.yaml
file
bash /tmp/harbor-package/config/scripts/generate-passwords.sh harbor-data-values.yaml
Edit the harbor-data-values.yaml
file and configure the values for the following mandatory parameters.
You can also change the values for other parameters to meet the requirements for your deployment. For the full list of the user-configurable values, see Deploy Harbor into a Cluster.
Remove the comments in the harbor-data-values.yaml
file
yq -i eval '... comments=""' harbor-data-values.yaml
Install the Harbor package by executing the following command:
# kubectl create namespace tanzu-system-registry
# kubectl create namespace tanzu-harbor-registry
# tanzu package install harbor --package-name harbor.tanzu.vmware.com --version 2.5.3+vmware.1-tkg.1 --values-file harbor-data-values.yaml --namespace tanzu-harbor-registry
8:01:14AM: Creating service account 'harbor-tanzu-system-registry-sa'
8:01:14AM: Creating cluster admin role 'harbor-tanzu-system-registry-cluster-role'
8:01:15AM: Creating cluster role binding 'harbor-tanzu-system-registry-cluster-rolebinding'
8:01:15AM: Creating secret 'harbor-tanzu-system-registry-values'
8:01:15AM: Creating overlay secrets
8:01:15AM: Creating package install resource
8:01:15AM: Waiting for PackageInstall reconciliation for 'harbor'
8:01:15AM: Fetch started (6s ago)
| 8:04:50AM: L ongoing: waiting on pod/harbor-registry-78c99df744-v8psj (v1) namespace: tanzu-system-registry
| 8:04:50AM: ^ Condition Ready is not True (False)
| 8:04:52AM: ok: reconcile deployment/harbor-registry (apps/v1) namespace: tanzu-system-registry
| 8:04:52AM: ---- applying complete [50/50 done] ----
| 8:04:52AM: ---- waiting complete [50/50 done] ----
| Succeeded
8:04:52AM: Deploy succeeded
Confirm that the Harbor package has been installed and the status is Reconcile succeeded
.
# tanzu package installed get harbor --namespace tanzu-system-registry
NAME: harbor
PACKAGE-NAME: harbor.tanzu.vmware.com
PACKAGE-VERSION: 2.5.3+vmware.1-tkg.1
STATUS: Reconcile succeeded
CONDITIONS: [{ReconcileSucceeded True }]
USEFUL-ERROR-MESSAGE:
Prometheus is a system and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true. Alertmanager handles alerts generated by Prometheus and routes them to their receiving endpoints.
Do the following to deploy Prometheus into a workload cluster:
Capture the available Prometheus version.
# tanzu package available list prometheus.tanzu.vmware.com -A
NAME VERSION RELEASED-AT
prometheus.tanzu.vmware.com 2.27.0+vmware.2-tkg.1 2021-05-12 18:00:00 +0000 UTC
prometheus.tanzu.vmware.com 2.36.2+vmware.1-tkg.1 2022-06-23 18:00:00 +0000 UTC
prometheus.tanzu.vmware.com 2.37.0+vmware.1-tkg.1 2022-10-25 18:00:00 +0000 UTC
Capture the latest version from the previous command. If there are multiple versions available check the “RELEASED-AT” to collect the version of the latest one. This document make use of version 2.37.0+vmware.1-tkg.1 for installation.
Retrieve the template of the Prometheus package’s default configuration:
image_url=$(kubectl -n tkg-system get packages prometheus.tanzu.vmware.com.2.37.0+vmware.1-tkg.1 -o jsonpath='{.spec.template.spec.fetch[0].imgpkgBundle.image}')
imgpkg pull -b $image_url -o /tmp/prometheus-package-2.37.0+vmware.1-tkg.1 --registry-ca-cert-path /etc/docker/certs.d/harbor.tanzu.lab/ca.crt
cp /tmp/prometheus-package-2.37.0+vmware.1-tkg.1/config/values.yaml prometheus-data-values.yaml
This creates a configuration file named prometheus-data-values.yaml
that you can modify.
To customize the Prometheus installation, modify the following values.
Key | Default Value | Modified value |
---|---|---|
Ingress.tlsCertificate.tls.crt | Null |
Note: This is optional. |
ingress.tlsCertificate.tls.key | Null | <Cert Key provided in Input file Note: This is optional. |
ingress.enabled | false | true |
ingress.virtual_host_fqdn | prometheus.system.tanzu | prometheus.your-domain |
To see a full list of user configurable configuration parameters, see Prometheus Package Configuration Parameters.
After you make any changes needed to your prometheus-data-values.yaml
file, remove all comments in the file:
yq -i eval '... comments=""' prometheus-data-values.yaml
Install Prometheus package.
# kubectl create namespace tanzu-system-monitoring
# kubectl create namespace tanzu-prometheus-monitoring
# tanzu package install prometheus --package-name prometheus.tanzu.vmware.com --version 2.37.0+vmware.1-tkg.1 --values-file prometheus-data-values.yaml --namespace tanzu-prometheus-monitoring
8:20:09AM: Creating service account 'prometheus-tanzu-system-monitoring-sa'
8:20:09AM: Creating cluster admin role 'prometheus-tanzu-system-monitoring-cluster-role'
8:20:09AM: Creating cluster role binding 'prometheus-tanzu-system-monitoring-cluster-rolebinding'
8:20:09AM: Creating secret 'prometheus-tanzu-system-monitoring-values'
8:20:09AM: Creating overlay secrets
8:20:09AM: Creating package install resource
8:20:09AM: Waiting for PackageInstall reconciliation for 'prometheus'
| 8:22:02AM: L ok: waiting on replicaset/alertmanager-56f6ccfc64 (apps/v1) namespace: tanzu-system-monitoring
| 8:22:02AM: L ok: waiting on pod/alertmanager-56f6ccfc64-h5tl9 (v1) namespace: tanzu-system-monitoring
| 8:22:03AM: ok: reconcile deployment/alertmanager (apps/v1) namespace: tanzu-system-monitoring
| 8:22:03AM: ---- waiting on 1 changes [35/36 done] ----
| 8:22:23AM: ok: reconcile deployment/prometheus-server (apps/v1) namespace: tanzu-system-monitoring
| 8:22:23AM: ---- applying complete [36/36 done] ----
| 8:22:23AM: ---- waiting complete [36/36 done] ----
| Succeeded
8:22:23AM: Deploy succeeded (1s ago)
Confirm that the Prometheus package has been installed successfully and the status is Reconcile succeeded
.
# tanzu package installed get prometheus -n tanzu-prometheus-monitoring
NAME: prometheus
PACKAGE-NAME: prometheus.tanzu.vmware.com
PACKAGE-VERSION: 2.37.0+vmware.1-tkg.1
STATUS: Reconcile succeeded
CONDITIONS: [{ReconcileSucceeded True }]
USEFUL-ERROR-MESSAGE:
Grafana allows you to query, visualize, alert on, and explore metrics no matter where they are stored. Grafana provides tools to form graphs and visualizations from application data.
NoteGrafana is configured with Prometheus as a default data source. If you have customized the Prometheus deployment namespace and it is not deployed in the default namespace,
tanzu-system-monitoring
, you need to change the Grafana data source configuration in the following code.
Retrieve the version of the available package.
# tanzu package available list grafana.tanzu.vmware.com -A
NAME VERSION RELEASED-AT NAMESPACE
grafana.tanzu.vmware.com 7.5.16+vmware.1-tkg.1 2022-05-19 18:00:00 +0000 UTC tkg-system
grafana.tanzu.vmware.com 7.5.16+vmware.1-tkg.2 2022-05-19 18:00:00 +0000 UTC tkg-system
grafana.tanzu.vmware.com 7.5.7+vmware.2-tkg.1 2021-05-19 18:00:00 +0000 UTC tkg-system
Capture the latest version from the previous command. If there are multiple versions available check the “RELEASED-AT” to collect the version of the latest one. This document make use of version 7.5.16+vmware.1-tkg.1 for installation.
Retrieve the template of the Grafana package’s default configuration.
image_url=$(kubectl -n tkg-system get packages grafana.tanzu.vmware.com.7.5.16+vmware.1-tkg.1 -o jsonpath='{.spec.template.spec.fetch[0].imgpkgBundle.image}')
imgpkg pull -b $image_url -o /tmp/grafana-package-7.5.16+vmware.1-tkg.1 --registry-ca-cert-path /etc/docker/certs.d/harbor.tanzu.lab/ca.crt
cp /tmp/grafana-package-7.5.16+vmware.1-tkg.1/config/values.yaml grafana-data-values.yaml
This creates a configuration file named grafana-data-values.yaml
that you can modify. For a full list of user-configurable values, see Grafana Package Configuration Parameters.
Edit grafana-data-values.yaml and replace the following with your custom values.
Key | Default Value | Modified value |
---|---|---|
secret.admin_password | Null | Your password in Base64 encoded format. |
grafana.service.type | LoadBalancer | NodePort |
ingress.virtual_host_fqdn | grafana.system.tanzu | User-Provided FQDN from Input File |
ingress.tlsCertificate.tls.crt | Null | Full chain cert provided in Input file |
ingress.tlsCertificate.tls.key | Null | Full chain cert provided in Input file |
(Optional) Modify the Grafana data source configuration.
Grafana is configured with Prometheus as a default data source. If you have customized the Prometheus deployment namespace and it is not deployed in the default namespace, tanzu-system-monitoring
, you need to change the Grafana data source configuration in grafana-data-values.yaml
.
datasources:
- name: Prometheus
type: prometheus
url: prometheus-server.<change-to-prometheus-namespace>.svc.cluster.local
Remove all comments from grafana-data-values.yaml
file
yq -i eval '... comments=""' grafana-data-values.yaml
Install Grafana.
# kubectl create namespace tanzu-system-dashboards
# kubectl create namespace tanzu-grafana-dashboards
# tanzu package install grafana --package-name grafana.tanzu.vmware.com --version 7.5.16+vmware.1-tkg.2 --values-file grafana-data-values.yaml --namespace tanzu-grafana-dashboards
8:12:41AM: Creating service account 'grafana-tanzu-system-dashboards-sa'
8:12:42AM: Creating cluster admin role 'grafana-tanzu-system-dashboards-cluster-role'
8:12:42AM: Creating cluster role binding 'grafana-tanzu-system-dashboards-cluster-rolebinding'
8:12:42AM: Creating secret 'grafana-tanzu-system-dashboards-values'
8:12:42AM: Creating overlay secrets
8:12:42AM: Creating package install resource
8:12:42AM: Waiting for PackageInstall reconciliation for 'grafana'
| 8:14:19AM: ongoing: reconcile deployment/grafana (apps/v1) namespace: tanzu-system-dashboards
| 8:14:19AM: ^ Waiting for 1 unavailable replicas
| 8:14:19AM: L ok: waiting on replicaset/grafana-58656c5f9b (apps/v1) namespace: tanzu-system-dashboards
| 8:14:19AM: L ongoing: waiting on pod/grafana-58656c5f9b-mjphv (v1) namespace: tanzu-system-dashboards
| 8:14:19AM: ^ Condition Ready is not True (False)
| 8:14:31AM: ok: reconcile deployment/grafana (apps/v1) namespace: tanzu-system-dashboards
| 8:14:31AM: ---- applying complete [18/18 done] ----
| 8:14:31AM: ---- waiting complete [18/18 done] ----
| Succeeded
8:14:31AM: Deploy succeeded
Confirm that the Grafana package has been installed and the status is Reconcile succeeded
.
# tanzu package installed get grafana -n tanzu-grafana-dashboards
NAME: grafana
PACKAGE-NAME: grafana.tanzu.vmware.com
PACKAGE-VERSION: 7.5.16+vmware.1-tkg.1
STATUS: Reconcile succeeded
CONDITIONS: [{ReconcileSucceeded True }]
USEFUL-ERROR-MESSAGE:
Fluent Bit is a lightweight log processor and forwarder that allows you to collect data and logs from different sources, unify them, and send them to multiple destinations.
The current release of Fluent Bit allows you to gather logs from management clusters or Tanzu Kubernetes clusters running in vSphere, Amazon EC2, and Azure. You can then forward them to a log storage provider such as Elastic Search, Kafka, Splunk, or an HTTP endpoint.
The example shown in this document uses HTTP endpoint vRealize Log Insight
for forwarding logs from Tanzu Kubernetes clusters.
Retrieve the version of the available package.
# tanzu package available list fluent-bit.tanzu.vmware.com -A
NAME VERSION RELEASED-AT NAMESPACE
fluent-bit.tanzu.vmware.com 1.7.5+vmware.1-tkg.1 2021-05-13 18:00:00 +0000 UTC tanzu-package-repo-global
fluent-bit.tanzu.vmware.com 1.8.15+vmware.1-tkg.1 2022-05-24 18:00:00 +0000 UTC tanzu-package-repo-global
fluent-bit.tanzu.vmware.com 1.9.5+vmware.1-tkg.1 2022-06-23 18:00:00 +0000 UTC tkg-system
Capture the latest version from the previous command. If there are multiple versions available check the “RELEASED-AT” to collect the version of the latest one. This document make use of version 1.9.5+vmware.1-tkg.1 for installation.
Retrieve the template of the Fluent Bit package’s default configuration.
image_url=$(kubectl -n tkg-system get packages fluent-bit.tanzu.vmware.com.1.9.5+vmware.1-tkg.1 -o jsonpath='{.spec.template.spec.fetch[0].imgpkgBundle.image}')
imgpkg pull -b $image_url -o /tmp/fluent-bit-1.9.5+vmware.1-tkg.1 --registry-ca-cert-path /etc/docker/certs.d/harbor.tanzu.lab/ca.crt
cp /tmp/fluent-bit-1.9.5+vmware.1-tkg.1/config/values.yaml fluentbit-data-values.yaml
Modify the resulting fluentbit-data-values.yaml
file and configure the endpoint as per your choice. A sample endpoint configuration for sending logs to vRealize Log Insight Cloud over HTTP is shown in the following example.
[OUTPUT]
Name syslog
Match *
Host vrli.lab.vmw
Port 514
Mode udp
Syslog_Format rfc5424
Syslog_Hostname_key tkg_cluster
Syslog_Appname_key pod_name
Syslog_Procid_key container_name
Syslog_Message_key message
Syslog_SD_key k8s
Syslog_SD_key labels
Syslog_SD_key annotations
Syslog_SD_key tkg
Deploy Fluent Bit.
# kubectl create namespace tanzu-system-logging
# kubectl create namespace tanzu-fluent-bit-logging
tanzu package install fluent-bit --package-name fluent-bit.tanzu.vmware.com --version 1.9.5+vmware.1-tkg.1 --namespace tanzu-fluent-bit-logging --values-file fluent-bit-data-values.yaml
ℹ Installing package 'fluent-bit.tanzu.vmware.com'
ℹ Getting package metadata for 'fluent-bit.tanzu.vmware.com'
ℹ Creating service account 'fluent-bit-tanzu-fluent-bit-logging-sa'
ℹ Creating cluster admin role 'fluent-bit-tanzu-fluent-bit-logging-cluster-role'
ℹ Creating cluster role binding 'fluent-bit-tanzu-fluent-bit-logging-cluster-rolebinding'
ℹ Creating package resource
ℹ Waiting for 'PackageInstall' reconciliation for 'fluent-bit'
ℹ 'PackageInstall' resource install status: Reconciling
ℹ 'PackageInstall' resource install status: ReconcileSucceeded
ℹ
Added installed package 'fluent-bit'
Confirm that the Fluent Bit package has been installed and the status is Reconcile succeeded
.
# tanzu package installed get fluent-bit --namespace tanzu-fluent-bit-logging
NAME: fluent-bit
PACKAGE-NAME: fluent-bit.tanzu.vmware.com
PACKAGE-VERSION: 1.9.5+vmware.1-tkg.1
STATUS: Reconcile succeeded
CONDITIONS: [{ReconcileSucceeded True }]
USEFUL-ERROR-MESSAGE: