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271 lines
8.3 KiB
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.. Copyright BigchainDB GmbH and BigchainDB contributors
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SPDX-License-Identifier: (Apache-2.0 AND CC-BY-4.0)
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Code is Apache-2.0 and docs are CC-BY-4.0
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Template: Deploy a Kubernetes Cluster on Azure
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==============================================
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.. note::
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A highly-available Kubernetes cluster requires at least five virtual machines
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(three for the master and two for your app's containers).
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Therefore we don't recommend using Kubernetes to run a BigchainDB node
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if that's the only thing the Kubernetes cluster will be running.
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Instead, see our :ref:`simple-deployment-template`.
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If your organization already *has* a big Kubernetes cluster running many containers,
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and your organization has people who know Kubernetes,
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then this Kubernetes deployment template might be helpful.
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A BigchainDB node can be run inside a `Kubernetes <https://kubernetes.io/>`_
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cluster.
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This page describes one way to deploy a Kubernetes cluster on Azure.
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.. _get-a-pay-as-you-go-azure-subscription:
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Step 1: Get a Pay-As-You-Go Azure Subscription
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----------------------------------------------
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Microsoft Azure has a Free Trial subscription (at the time of writing),
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but it's too limited to run an advanced BigchainDB node.
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Sign up for a Pay-As-You-Go Azure subscription
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via `the Azure website <https://azure.microsoft.com>`_.
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You may find that you have to sign up for a Free Trial subscription first.
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That's okay: you can have many subscriptions.
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.. _create-an-ssh-key-pair:
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Step 2: Create an SSH Key Pair
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------------------------------
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You'll want an SSH key pair so you'll be able to SSH
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to the virtual machines that you'll deploy in the next step.
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(If you already have an SSH key pair, you *could* reuse it,
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but it's probably a good idea to make a new SSH key pair
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for your Kubernetes VMs and nothing else.)
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See the
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:doc:`page about how to generate a key pair for SSH
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<../appendices/generate-key-pair-for-ssh>`.
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Step 3: Deploy an Azure Container Service (ACS)
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-----------------------------------------------
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It's *possible* to deploy an Azure Container Service (ACS)
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from the `Azure Portal <https://portal.azure.com>`_
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(i.e. online in your web browser)
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but it's actually easier to do it using the Azure
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Command-Line Interface (CLI).
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Microsoft has `instructions to install the Azure CLI 2.0
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on most common operating systems
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<https://docs.microsoft.com/en-us/cli/azure/install-az-cli2>`_.
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Do that.
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If you already *have* the Azure CLI installed, you may want to update it.
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.. warning::
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``az component update`` isn't supported if you installed the CLI using some of Microsoft's provided installation instructions. See `the Microsoft docs for update instructions <https://docs.microsoft.com/en-us/cli/azure/install-az-cli2>`_.
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Next, login to your account using:
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.. code:: bash
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$ az login
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It will tell you to open a web page and to copy a code to that page.
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If the login is a success, you will see some information
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about all your subscriptions, including the one that is currently
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enabled (``"state": "Enabled"``). If the wrong one is enabled,
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you can switch to the right one using:
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.. code:: bash
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$ az account set --subscription <subscription name or ID>
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Next, you will have to pick the Azure data center location
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where you'd like to deploy your cluster.
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You can get a list of all available locations using:
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.. code:: bash
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$ az account list-locations
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Next, create an Azure "resource group" to contain all the
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resources (virtual machines, subnets, etc.) associated
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with your soon-to-be-deployed cluster. You can name it
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whatever you like but avoid fancy characters because they may
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confuse some software.
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.. code:: bash
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$ az group create --name <resource group name> --location <location name>
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Example location names are ``koreacentral`` and ``westeurope``.
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Finally, you can deploy an ACS using something like:
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.. code:: bash
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$ az acs create --name <a made-up cluster name> \
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--resource-group <name of resource group created earlier> \
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--master-count 3 \
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--agent-count 3 \
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--admin-username ubuntu \
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--agent-vm-size Standard_L4s \
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--dns-prefix <make up a name> \
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--ssh-key-value ~/.ssh/<name>.pub \
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--orchestrator-type kubernetes \
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--debug --output json
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.. Note::
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The `Azure documentation <https://docs.microsoft.com/en-us/cli/azure/acs?view=azure-cli-latest#az_acs_create>`_
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has a list of all ``az acs create`` options.
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You might prefer a smaller agent VM size, for example.
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You can also get a list of the options using:
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.. code:: bash
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$ az acs create --help
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It takes a few minutes for all the resources to deploy.
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You can watch the progress in the `Azure Portal
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<https://portal.azure.com>`_:
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go to **Resource groups** (with the blue cube icon)
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and click on the one you created
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to see all the resources in it.
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Trouble with the Service Principal? Then Read This!
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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If the ``az acs create`` command fails with an error message including the text,
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"The Service Principal in ServicePrincipalProfile could not be validated",
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then we found you can prevent that by creating a Service Principal ahead of time
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and telling ``az acs create`` to use that one. (It's supposed to create one,
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but sometimes that fails, I guess.)
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Create a new resource group, even if you created one before. They're free anyway:
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.. code:: bash
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$ az login
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$ az group create --name <new resource group name> \
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--location <Azure region like westeurope>
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Note the ``id`` in the output. It looks like
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``"/subscriptions/369284be-0104-421a-8488-1aeac0caecbb/resourceGroups/examplerg"``.
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It can be copied into the next command.
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Create a Service Principal using:
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.. code:: bash
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$ az ad sp create-for-rbac --role="Contributor" \
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--scopes=<id value copied from above, including the double quotes on the ends>
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Note the ``appId`` and ``password``.
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Put those in a new ``az acs create`` command like above, with two new options added:
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.. code:: bash
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$ az acs create ... \
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--service-principal <appId> \
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--client-secret <password>
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.. _ssh-to-your-new-kubernetes-cluster-nodes:
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Optional: SSH to Your New Kubernetes Cluster Nodes
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--------------------------------------------------
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You can SSH to one of the just-deployed Kubernetes "master" nodes
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(virtual machines) using:
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.. code:: bash
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$ ssh -i ~/.ssh/<name> ubuntu@<master-ip-address-or-fqdn>
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where you can get the IP address or FQDN
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of a master node from the Azure Portal. For example:
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.. code:: bash
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$ ssh -i ~/.ssh/mykey123 ubuntu@mydnsprefix.westeurope.cloudapp.azure.com
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.. note::
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All the master nodes are accessible behind the *same* public IP address and
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FQDN. You connect to one of the masters randomly based on the load balancing
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policy.
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The "agent" nodes shouldn't get public IP addresses or externally accessible
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FQDNs, so you can't SSH to them *directly*,
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but you can first SSH to the master
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and then SSH to an agent from there using their hostname.
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To do that, you could
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copy your SSH key pair to the master (a bad idea),
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or use SSH agent forwarding (better).
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To do the latter, do the following on the machine you used
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to SSH to the master:
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.. code:: bash
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$ echo -e "Host <FQDN of the cluster from Azure Portal>\n ForwardAgent yes" >> ~/.ssh/config
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To verify that SSH agent forwarding works properly,
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SSH to the one of the master nodes and do:
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.. code:: bash
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$ echo "$SSH_AUTH_SOCK"
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If you get an empty response,
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then SSH agent forwarding hasn't been set up correctly.
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If you get a non-empty response,
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then SSH agent forwarding should work fine
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and you can SSH to one of the agent nodes (from a master)
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using:
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.. code:: bash
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$ ssh ubuntu@k8s-agent-4AC80E97-0
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where ``k8s-agent-4AC80E97-0`` is the name
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of a Kubernetes agent node in your Kubernetes cluster.
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You will have to replace it by the name
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of an agent node in your cluster.
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Optional: Delete the Kubernetes Cluster
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---------------------------------------
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.. code:: bash
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$ az acs delete \
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--name <ACS cluster name> \
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--resource-group <name of resource group containing the cluster>
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Optional: Delete the Resource Group
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-----------------------------------
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CAUTION: You might end up deleting resources other than the ACS cluster.
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.. code:: bash
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$ az group delete \
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--name <name of resource group containing the cluster>
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Next, you can :doc:`run a BigchainDB node/cluster(BFT) <node-on-kubernetes>`
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on your new Kubernetes cluster.
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