Full

All but the last two options are defaults. The last two are subscription_name and use_service_principal - these two are required

Attributes to change for the full configuration After you run `lambdastack init -p azure -n :

• prefix: staging - Staging is a default prefix. You can use whatever you like (e.g., production). This value can help group your AWS clusters in the same region for easier maintenance
• name: operations - This attribute is under specification.admin_user.name
• key_path: lambdastack-operations - This is the default SSH key file(s) name. This is the name of your SSH public and private key pairs. For example, in this example, one file (private one) would be named lambdastack-operations. The second file (public key) typically has a .pub suffix such as lambdastack-operations.pub
• use_public_ips: True - This is the default public IP value. Important, this attribute by default allows for AWS to build your clusters with a public IP interface. We also build a private (non-public) interface using private IPs for internal communication between the nodes. With this attribute set to public it simply allows you easy access to the cluster so you can SSH into it using the name attribute value from above. This is NOT RECOMMENDED for sure not in production and not as a general rule. You should have a VPN or direct connect and route for the cluster
• region: East US - This is the default region setting. This means that your cluster and storage will be created in Azure East US region. Important - If you want to change this value in any way, you should use the full configuration and then change ALL references of region in the yaml file. If you do not then you may have services in regions you don't want and that may create problems for you
• subscription_name: <whatever the sub name is> - This is very important. This, along with use_service_principal are used to access your Azure cluster programmatically which LambdaStack needs. This can be found at specification.cloud.subscrition_name. This can be found under your Azure Account menu option in settings
• use_service_principal: True - This is very important. This, along with subcription_name are used to access your Azure cluster programmatically which LambdaStack needs. This can be found at specification.cloud.use_service_principal. This can be found under your Azure Account menu option in Security Credentials.

Now that you have made your changes to the .yml now run lambdastack apply -f build/<whatever you name your cluster>/<whatever you name your cluster>.yml. Now the building of a LambdaStack cluster will begin. Apply option will generate a final manifest.yml file that will be used for Terraform, Ansible and LambdaStack python code. The manifest.yml will combine the values from below plus ALL yaml configuration files for each service.

---
kind: lambdastack-cluster
title: "LambdaStack Cluster Config"
provider: azure
name: "default"
build_path: "build/path"  # This gets dynamically built
specification:
  prefix: staging  # Can be anything you want that helps quickly identify the cluster
  name: lambdastack
  admin_user:
    name: operations # YOUR-ADMIN-USERNAME
    key_path: lambdastack-operations # YOUR-SSH-KEY-FILE-NAME
    path: "/shared/build/<name of cluster>/keys/ssh/lambdastack-operations" # Will get dynamically created
  cloud:
    k8s_as_cloud_service: False
    subscription_name: <YOUR-SUB-NAME>
    vnet_address_pool: 10.1.0.0/20
    use_public_ips: True # When not using public IPs you have to provide connectivity via private IPs (VPN)
    use_service_principal: False
    region: East US
    network:
      use_network_security_groups: True
    default_os_image: default
  components:
    kubernetes_master:
      count: 1
      machine: kubernetes-master-machine
      configuration: default
      subnets:
        - address_pool: 10.1.1.0/24
    kubernetes_node:
      count: 2
      machine: kubernetes-node-machine
      configuration: default
      subnets:
        - address_pool: 10.1.1.0/24
    logging:
      count: 1
      machine: logging-machine
      configuration: default
      subnets:
        - address_pool: 10.1.3.0/24
    monitoring:
      count: 1
      machine: monitoring-machine
      configuration: default
      subnets:
        - address_pool: 10.1.4.0/24
    kafka:
      count: 2
      machine: kafka-machine
      configuration: default
      subnets:
        - address_pool: 10.1.5.0/24
    postgresql:
      count: 0
      machine: postgresql-machine
      configuration: default
      subnets:
        - address_pool: 10.1.6.0/24
    load_balancer:
      count: 1
      machine: load-balancer-machine
      configuration: default
      subnets:
        - address_pool: 10.1.7.0/24
    rabbitmq:
      count: 0
      machine: rabbitmq-machine
      configuration: default
      subnets:
        - address_pool: 10.1.8.0/24
    ignite:
      count: 0
      machine: ignite-machine
      configuration: default
      subnets:
        - address_pool: 10.1.9.0/24
    opendistro_for_elasticsearch:
      count: 0
      machine: logging-machine
      configuration: default
      subnets:
        - address_pool: 10.1.10.0/24
    repository:
      count: 1
      machine: repository-machine
      configuration: default
      subnets:
        - address_pool: 10.1.11.0/24
    single_machine:
      count: 0
      machine: single-machine
      configuration: default
      subnets:
        - address_pool: 10.1.1.0/24