Azure Virtual Machine Discoveryedit

Azure VM discovery allows to use the azure APIs to perform automatic discovery (similar to multicast in non hostile multicast environments). Here is a simple sample configuration:

cloud:
    azure:
        management:
             subscription.id: XXX-XXX-XXX-XXX
             cloud.service.name: es-demo-app
             keystore:
                   path: /path/to/azurekeystore.pkcs12
                   password: WHATEVER
                   type: pkcs12

discovery:
    zen.hosts_provider: azure

Binding the network host

The keystore file must be placed in a directory accessible by Elasticsearch like the config directory.

It’s important to define network.host as by default it’s bound to localhost.

You can use core network host settings. For example _en0_.

How to start (short story)edit

  • Create Azure instances
  • Install Elasticsearch
  • Install Azure plugin
  • Modify elasticsearch.yml file
  • Start Elasticsearch

Azure credential API settingsedit

The following are a list of settings that can further control the credential API:

cloud.azure.management.keystore.path

/path/to/keystore

cloud.azure.management.keystore.type

pkcs12, jceks or jks. Defaults to pkcs12.

cloud.azure.management.keystore.password

your_password for the keystore

cloud.azure.management.subscription.id

your_azure_subscription_id

cloud.azure.management.cloud.service.name

your_azure_cloud_service_name. This is the cloud service name/DNS but without the cloudapp.net part. So if the DNS name is abc.cloudapp.net then the cloud.service.name to use is just abc.

Advanced settingsedit

The following are a list of settings that can further control the discovery:

discovery.azure.host.type
Either public_ip or private_ip (default). Azure discovery will use the one you set to ping other nodes.
discovery.azure.endpoint.name
When using public_ip this setting is used to identify the endpoint name used to forward requests to Elasticsearch (aka transport port name). Defaults to elasticsearch. In Azure management console, you could define an endpoint elasticsearch forwarding for example requests on public IP on port 8100 to the virtual machine on port 9300.
discovery.azure.deployment.name
Deployment name if any. Defaults to the value set with cloud.azure.management.cloud.service.name.
discovery.azure.deployment.slot
Either staging or production (default).

For example:

discovery:
    type: azure
    azure:
        host:
            type: private_ip
        endpoint:
            name: elasticsearch
        deployment:
            name: your_azure_cloud_service_name
            slot: production