Select your datacentre in RemoteSpark

How to lock your connection to a specific datacentre where RemoteSpark Server Services are available

In this article:
Why lock to a specific data centre?
How to find Select Server in RemoteSpark
Default server list

Why lock to a specific datacentre?

By default, RemoteSpark uses Azure Traffic Manager to route the user’s connection to the RemoteSpark Server Services through the fastest available datacentre. In practice, this tends to be the datacentre closest geographically, but this can vary.

If there are issues with Traffic Manager’s availability for any reason, it may be suggested by Kognitiv Spark Support to lock to one specific datacentre until the issue is resolved.

Note: locking to one specific datecentre by default is not supported by our Service Level Agreement unless you are advised to do so by Kognitiv Spark Support. If there are issues with the specific datacentre you are locked to, not using the Traffic Manager solution can affect your ability to connect to RemoteSpark services.

How to find Select Server in RemoteSpark

To access the server settings:

  1. Launch RemoteSpark.
  2. From the login page, click the Settings button (gear icon).Settings screen
  3. You’ll be taken to the Settings page which includes Select Server.
  4. Select your server preference from the dropdown list.
    • Note: the list of default servers can be found below.
    • For on-premise users, please contact Kognitiv Spark Support for instructions on custom server configuration.
    • Server dropdown

    Default server list

    List of default servers configured for RemoteSpark:

    • RemoteSpark Cloud: default setting which uses Azure Traffic Manager to route your connection through the fastest available Azure Datacentre where the RemoteSpark Server services are available
    • UK West: UK West Azure Datacentre
    • Canada Central: Canada Central Azure Datacentre
    • US Central: US Central Azure Datacentre
    • Local Server: the default setting for on-premise users of RemoteSpark. Can be changed and reset depending on the on-premise environment’s network configuration.