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Microcloud Automated

Automated provisioning of microcloud on private/public clouds at scale.

Terraform Microcloud Ansible
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Introduction

MicroCloud claims to be micro because it allow you to provision your own fully functional private cloud in minutes in an opinionated way.

Installation is done using snap commands ans would greatly benefit from automated provisioning at scale. Hence Microcloud Automated.πŸ€·β€β™‚οΈ

This project is generally intended for experimentation/evaluation and can be improved/customized to fit your unique needs to become production ready.

This project has 2 sections that can be independently deployed and managed. They are

  1. Deploying network connected compute to various cloud providers in an opinionated yet flexible way.
  2. Deploying microcloud on said or custom compute.

TOC

Getting-Started

Download (clone) or fork this repository. The major places of interest for customization will be in the group_vars folder.

Pre-requisites

Infra

To setup microcloud you will need to have compute and network resources. This could be from a cloud provider or your private servers.

  • In the group_vars folder, duplicate the dev.yml.example and dev.env.example and remove .example from each file's name. eg.
dev.yml
uat.yml
# used to hold required environment variables and secrets
dev.env
uat.env
  • In each group/environment specific file, specify the ansible_user:, ansible_ssh_public_key_file:, ansible_ssh_private_key_file:.

eg.

# dev.yml
ansible_ssh_host_key_checking: false
ansible_user: microcloud
ansible_ssh_private_key_file: ~/.ssh/id_rsa
ansible_ssh_public_key_file: ~/.ssh/id_rsa.pub

New Infra

If you're provisioning your infra via this project, you can specify the infra_providers: you are interested in deploying compute to. For infra_providers: You can use arbitrary values or one of the supported cloud providers of this project.

Currently supported cloud providers are: azure.

The below section is a summative content, you should Take a detour to the infra-template folder and go through the respective README(s) of the infra_provider(s) you chose.

  • There are a couple of options available to you to specify.

eg.

#... truncated for brevity
ansible_ssh_public_key_file: ~/.ssh/id_rsa.pub
infra_providers:
  digital_ocean:
    # custom, nano, micro, small, medium, large, xlarge, 2xlarge
    size: nano
    # number of servers to be provisioned
    quantity: 3
    # see valid regions here https://slugs.do-api.dev/
    region: "nyc3"
  aws:
    # custom, nano, micro, small, medium, large, xlarge, 2xlarge
    size: custom
    # valid only if size is set to custom
    custom_sizes: ["t2.micro"]
    # number of servers to be provisioned
    quantity: 3
    # see valid regions here https://slugs.do-api.dev/
    region: "nyc3"
  azure:
    quantity: 3
    size: custom
    custom_sizes:
      - Standard_D2s_v3
      - Standard_D2s_v3
      - Standard_B2s
    security_rules:
      allowed_ports: [22, 80, 443, 8443]
      allowed_source_address_prefix: "0.0.0.0/0"
      allowed_destination_address_prefix: "0.0.0.0/0"
    # ingress_prefix
    image: # all mandatory
      publisher : "Canonical"
      offer     : "ubuntu-24_04-lts"
      sku       : "server"
      version   : "latest"
    local_volume_sizes: [3]
    ceph_volume_sizes: [3]
    region: "westus"
    tag:
      Provider: "azure"
  • There are also additional fields that can be specific for each cloud provider.
  • If you specify size: custom in a provider, you must declear the custom_sizes: list. It's best to either make the custom_sizes: list have only one item or items equal to quantity:.

If your custom_sizes: list length is less than the quantity: value, then the remaining servers will be assigned the size of the last entry in your custom_sizes: list. This gives room for some interesting customizations on the size options you may want to configure.

Supported Providers status
custom βœ…
azure βœ…
digital_ocean 🟑
oracle_cloud 🟑
aliyun 🟑
ibm_cloud ❌
aws ❌

Existing Infra

  • If you have already setup your compute outside this project, then you can specify the hosts: field instead of the infra_providers: field.

    This is essentially ansible hosts config so you can put any valid ansible hosts value. See official examples.

  • You'll need to make sure that your compute resources have:

    • layer 2 or layer 3 network connectivity to each other.
    • you have ssh and root access to said compute.
    • If you don't have your ssh keys added to the target nodes, then you'll need to specify your user details using the below keys to your env file:
# .env or <group>.env
TF_VAR_ANSIBLE_BECOME_PASS=sudo_user
TF_VAR_ANSIBLE_SSH_PASS=sudo_user_password

eg.

# sit.yml
#...
# For values that may be common to all hosts, you can specify them on this level eg.
common_config: 'Hello World'
infra_providers:
  # can be any name but try avoiding the exact names of the
  # supported cloud providers
  self_hosted:
    hosts:  # only host field will be used if specified
       # [mandatory]
      192.168.0.144: # public IP or private address that's reacheable from the master node execution environment.
        # [mandatory]
        hostname: homelabnode1
        # [mandatory]
        index_key: 0
        # [mandatory]
        ipv4_address: 192.168.0.144 # public IP or private address that's reacheable from the master node execution environment.
        # [mandatory]
        ipv4_address_iface: eno0
        # [mandatory]
        ipv4_address_private: 192.168.0.144
        # [mandatory]
        ipv4_address_private_iface: eno0
        # [mandatory]
        local_volume_path: /dev/mmcblk0
        # [mandatory]
        #This is The interface whose subnet will be used in the mDNS lookup search for other nodes.
        # usualy, it'll just be the same as your ipv4_address_iface
        lookup_bridge: eno0
        # [optional]
        #if you're setting up ceph, you must specify at least 3 volumes ( min 1 per node)
        ceph_volume_paths:
          - path: /dev/sda
            wipe: true
        # provider: azure # only specify this field if you want to use the networking strategy of a supported cloud provider instead of the default.
      192.168.0.145:
        ceph_volume_paths:
          - path: /dev/sda
            wipe: true
        hostname: rpi-1
        index_key: 1
        ipv4_address: 192.168.0.145
        ipv4_address_iface: eth0
        ipv4_address_private: 192.168.0.145
        ipv4_address_private_iface: eth0
        local_volume_path: /dev/sdb
        lookup_bridge: eth0
        # provider: azure
      192.168.0.147:
        ceph_volume_paths:
          - path: /dev/sda
            wipe: true
        hostname: orangepi4-lts-0
        index_key: 2
        ipv4_address: 192.168.0.147
        ipv4_address_iface: eth0
        ipv4_address_private: 192.168.0.147
        ipv4_address_private_iface: eth0
        local_volume_path: /dev/mmcblk0
        lookup_bridge: eth0
        # provider: azure
      host.example.com:
        hostname: micro-vm-1
        index_key: 3
        ipv4_address: 192.168.0.146
        ipv4_address_iface: eth0
        ipv4_address_private: 192.168.0.146
        ipv4_address_private_iface: eth0
        local_volume_path: /dev/mmcblk0
        lookup_bridge: eth0
        # provider: azure
        # you can specify other variables as you wish
        http_port: 80
        maxRequestsPerChild: 808
      # The below will not be supported because you will not be able to
      # specify the hostname for it
      # www[01:50].example.com:
    quantity: 3 # has no effect

Important: This project is currently has only been tested successfully on ubuntu 22.04 LTS, ubuntu 24.04 LTS.

Very Important: No matter the approach you take to create your compute resources, you must ensure they are visible to each other over a local/private network!

Deployment

On the sweet part.

  • Open a terminal in the root of this project.

Important: ensure you have the task package installed.

  • To get the list of available tasks you can run task --list
  • To deploy microcloud for a specific environment/group, you'll can to run commands in the below formats:
task infra-create-<group>
task run-deploy-cache-<group> # basically just update_cache, you don't need to run this all the time.
task run-deploy-init-<group>
task run-deploy-install-<group>

eg.

task infra-create-dev
task run-deploy-cache-dev
task run-deploy-init-dev
task run-deploy-install-dev
  • To run all activities you can use the below command.
task microcloud-<group>-up

You can use this to setup multiple environments quickly.

eg.

task microcloud-dev-up &
task microcloud-test-up &
task microcloud-sit-up &

You should probably start off using the individual commands until you're confident that the up command will run all through without hicupps.

  • To preview the list of ansible tasks that will be run in the microcloud installation process and the hosts that will be affected, you can run a command in this format: task list-deploy-init-<group> && task task list-deploy-install-<group>. eg.
task list-deploy-init-all && task task list-deploy-install-all
  • If there is a failure after some resources have been created, you can fix whatever caused the failure and run the below command formats:
task microcloud-<group>-up
# or the below three
task infra-refresh-<group>
task run-deploy-init-<group>
task run-deploy-install-<group>

You can use the -- -auto-approve arguments in the infra commands to skip terraform prompts.

  • After infra setup, if you want to see the list of IPs in a summarized form simply run your task infra-create-<group> command again.

  • If you wish to undo the microcloud installation you can run the below command format.

task deploy-rollback-<group>
  • To tear down the infra created using this project or remove a reference to an existing infra, simply run command of the below format:
task microcloud-<group>-down

Extra Configuration

Preseed

microcloud initialization supports a non interactive setup using a preseed. See example.

  • If you want this project to setup all requirements for microcloud installation but you don't want it to run microcloud init for you, then set use_preseed: false anywhere it can be read as an ansible variable eg. inside all.yml or <group>.yml.

For this project, you only need to configure ovn. Fields like systems and storage will be automatically populated based on other fields that you have provided.

To-Do

  • Add group_vars validation using CUElang
  • Complete setup test on digital_ocean
  • Complete setup test on oracle_cloud
  • Complete setup test on aliyun
  • Add support for ibm_cloud
  • Add support for aws

Community

  • Contributing
  • To-Do
    • Add automated compute provisioning support for:
      • aws
      • azure
      • gcp
      • vagrant
    • Add steps to actually provision microcloud cluster.

Maintainers

  • Boluwatife @hayone1
  • Deborah @Debby77

Copyright and license

This project is released under the GNU GPLv3

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