Databricks Disaster Recovery Kit
Product ID: databricks-disaster-recovery-kit
Version: 1.0.0
Author: Datanest Digital
Price: $69 USD
Category: Enterprise
Overview
The Databricks Disaster Recovery Kit is a comprehensive, production-ready toolkit for
planning, implementing, and testing disaster recovery strategies across Databricks
deployments. It covers the full DR lifecycle — from architecture selection through
automated failover to post-incident review.
Whether you are running a single workspace or a multi-region lakehouse, this kit
provides the Terraform modules, Python automation scripts, architecture guides, cost
models, and test plans you need to protect your data platform against regional outages,
corruption events, and infrastructure failures.
What's Included
Architecture Guides
| Document | Description |
|---|---|
architecture/active_passive.md |
Active-passive DR with warm standby workspace |
architecture/active_active.md |
Active-active multi-region with live traffic splitting |
architecture/backup_restore.md |
Cold standby with automated rebuild from backups |
Infrastructure as Code
| Module | Description |
|---|---|
terraform/dr-workspace/ |
Complete Terraform module for provisioning a DR workspace in a secondary region, including networking, Unity Catalog, cluster policies, and IAM |
Automation Scripts
| Script | Description |
|---|---|
scripts/delta_replication.py |
Delta Lake cross-region replication via deep clone and streaming sync |
scripts/unity_catalog_backup.py |
Unity Catalog metadata backup and restore procedures |
scripts/secret_recovery.py |
Secret scope and credential recovery automation |
scripts/failover_automation.py |
End-to-end pipeline failover: detect, switch, validate |
Tools
| Tool | Description |
|---|---|
tools/rto_rpo_calculator.py |
CLI tool mapping business SLAs to DR architecture recommendations |
Testing
| Document | Description |
|---|---|
testing/dr_test_plan.md |
Quarterly DR test procedures with success criteria and runbooks |
Communication
| Document | Description |
|---|---|
communication/stakeholder_templates.md |
Stakeholder notification and status page update templates |
communication/postincident_review.md |
Post-incident review template with timeline and action items |
Cost Analysis
| Document | Description |
|---|---|
cost/dr_cost_model.md |
Cost model for each DR pattern including standby and activation costs |
Quick Start
1. Assess Your Requirements
Run the RTO/RPO calculator to determine which DR pattern fits your business:
python tools/rto_rpo_calculator.py --interactive
2. Select an Architecture
Based on the calculator output, review the corresponding architecture guide:
-
RTO < 15 min, RPO < 5 min →
architecture/active_active.md -
RTO < 1 hour, RPO < 15 min →
architecture/active_passive.md -
RTO < 4 hours, RPO < 1 hour →
architecture/backup_restore.md
3. Provision DR Infrastructure
Deploy the secondary workspace using Terraform:
cd terraform/dr-workspace
terraform init
terraform plan -var-file="dr.tfvars"
terraform apply -var-file="dr.tfvars"
4. Configure Replication
Set up Delta Lake replication between primary and DR regions:
# Run as a Databricks notebook or scheduled job
# See scripts/delta_replication.py for full configuration
5. Schedule DR Tests
Follow the quarterly test plan in testing/dr_test_plan.md to validate your
DR posture on an ongoing basis.
Prerequisites
- Databricks Account: Premium or Enterprise tier with Unity Catalog enabled
- Cloud Provider: AWS, Azure, or GCP with multi-region capability
- Terraform: v1.5+ with Databricks provider v1.30+
-
Python: 3.10+ with
databricks-sdkinstalled - Permissions: Account-level admin for workspace provisioning
Cloud Provider Support
This kit includes patterns and configurations for:
- AWS: S3 cross-region replication, VPC peering, IAM role chaining
- Azure: ADLS Gen2 geo-replication, VNet peering, managed identities
- GCP: GCS dual-region buckets, VPC peering, service account federation
Terraform modules use provider-agnostic abstractions where possible, with
cloud-specific configurations isolated in variable files.
File Structure
19-databricks-disaster-recovery-kit/
├── README.md
├── manifest.json
├── architecture/
│ ├── active_passive.md
│ ├── active_active.md
│ └── backup_restore.md
├── terraform/
│ └── dr-workspace/
│ ├── main.tf
│ ├── variables.tf
│ └── outputs.tf
├── scripts/
│ ├── delta_replication.py
│ ├── unity_catalog_backup.py
│ ├── secret_recovery.py
│ └── failover_automation.py
├── tools/
│ └── rto_rpo_calculator.py
├── testing/
│ └── dr_test_plan.md
├── communication/
│ ├── stakeholder_templates.md
│ └── postincident_review.md
└── cost/
└── dr_cost_model.md
Related Products
- Databricks Monitoring Suite — End-to-end monitoring for Databricks workloads
- Multi-Cloud Lakehouse Blueprint — Design Lakehouse across cloud providers
- Real-Time Streaming Toolkit — Production streaming pipeline patterns
This is 1 of 20 resources in the Datanest Platform Pro toolkit. Get the complete [Databricks Disaster Recovery Kit] with all files, templates, and documentation for $69.
Or grab the entire Datanest Platform Pro bundle (20 products) for $199 — save 30%.
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