Databricks clusters are indeed deployed on cloud platforms like AWS, GCP, and Azure. However, they are not simply virtual machines that you have full control over; they are managed services orchestrated by Databricks. Here's how they work in a typical cloud environment:
- Managed Service: Databricks provides a managed environment, which means you don't manage the individual VMs or containers that run the Spark clusters. The infrastructure, including networking, is abstracted away and managed by Databricks.
- Deployment: When you create a Databricks cluster, Databricks provisions a set of VMs or containers behind the scenes on the selected cloud provider. These are configured to run the Databricks runtime, which includes Apache Spark and other tools.
- Networking: Databricks clusters generally need to have certain ports open for communication between nodes and for users to connect to the workspace UI or REST API. However, Databricks does offer VPC peering on AWS (or equivalent on other clouds) which allows you to connect your own VPC resources to the Databricks VPC in a secure manner.
Regarding "Zitifying" Databricks (i.e., securing it with a Zero Trust Network through OpenZiti):
- Incoming Ports: Databricks controls the security of the clusters, typically through AWS security groups or Azure network security groups. These groups control the incoming ports and can be configured according to your security policies. However, because it is a managed service, you might not be able to close all incoming ports, as Databricks requires some level of connectivity for management and operations.
- Outgoing Connections: Outgoing connections are usually open to allow Databricks to communicate with other cloud services and the internet. If you want all outgoing connections to go through a Ziti Edge Router, this could potentially conflict with how Databricks manages its service connections.
- Ziti Edge Router: Implementing a Zero Trust Network architecture like Ziti involves deploying Ziti Edge Routers and configuring network policies that dictate how services communicate. For a Databricks cluster, this would involve routing its traffic through the Ziti network. However, because Databricks is a managed service, you may not have the necessary access or permission to configure its network in such a granular way.
Given these constraints, to "Zitify" Databricks, you would likely need to work within Databricks' security and networking configurations and see how they can be made to work with OpenZiti. This could involve:
- Network Configuration: Using supported Databricks network features such as VPC peering or private link/endpoints to integrate with your Ziti network.
- Direct Connectivity: Checking if Databricks supports direct connectivity to your Ziti Edge Router without going over the internet.
- Support and Documentation: Consulting with Databricks support and OpenZiti's documentation or support channels to see if such a configuration is supported or if there are any best practices for such a setup.
- Custom Solutions: In some cases, you may need to build custom solutions or use additional network appliances that can bridge the gap between Databricks and the Ziti network.
It's important to note that such a setup would be quite complex and may require extensive coordination with Databricks' support team, as well as a deep understanding of both Databricks' and OpenZiti's networking capabilities.
Are there any examples for this?