Announcement
Databricks Terraform Provider: Automate Databricks Infrastructure with IaC
Manage your Databricks infrastructure and resources using HashiCorp Terraform. This provider enables declarative configuration of workspaces, clusters, jobs, permissions, and more.
Project Introduction
Summary
The Databricks Terraform Provider allows users to manage Databricks infrastructure and resources using Terraform's Infrastructure as Code approach. It integrates with the Databricks API to provision and manage resources like workspaces, clusters, jobs, notebooks, permissions, and more.
Problem Solved
Manually configuring Databricks workspaces, clusters, jobs, and permissions across multiple environments is time-consuming, inconsistent, and error-prone. This provider allows you to define your Databricks infrastructure as code, enabling reproducible deployments and version control.
Core Features
Workspace Management
Declaratively manage Databricks workspaces across cloud providers (AWS, Azure, GCP).
Cluster Automation
Automate the creation and configuration of Databricks clusters, including instance pools and libraries.
Jobs and MLOps Resource Management
Define and manage Databricks Jobs and MLOps resources as code.
Identity and Access Management
Control user, group, and service principal access and permissions within Databricks.
Tech Stack
Use Cases
The Databricks Terraform Provider can be used for a wide range of infrastructure automation tasks within Databricks.
Provisioning Databricks Workspaces
Details
Provision a new Databricks workspace in your preferred cloud provider and configure its initial settings, including VPC/VNet peering and storage.
User Value
Rapidly deploy new Databricks environments for projects, teams, or testing.
Managing Databricks Clusters and Compute Resources
Details
Define standard cluster configurations (size, autoscaling, libraries) and deploy them consistently for different workloads.
User Value
Ensure consistent, cost-effective, and performant compute resources for all users and jobs.
Automating Data Pipelines and ML Workflows
Details
Define and schedule data processing jobs or machine learning model training pipelines directly in your Terraform configuration.
User Value
Version control and automate the deployment of your operational workflows.
Implementing Access Control and Security Policies
Details
Manage user access, group memberships, and permissions on clusters, notebooks, and other workspace objects.
User Value
Enforce security best practices and compliance requirements programmatically.
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