Azure DevOps for Data Pipelines
Production-ready CI/CD pipeline templates for modern data platforms on Azure.
Product ID: azure-devops-data-pipelines
Version: 1.0.0
Price: $59 USD
Author: Datanest Digital
Overview
A comprehensive collection of Azure DevOps pipeline definitions, reusable templates, and
configuration guides purpose-built for data engineering teams. These templates codify
battle-tested patterns for deploying Terraform infrastructure, Databricks workloads,
Azure Data Factory pipelines, and SQL database migrations across multi-environment
promotion flows.
Every pipeline follows the principle of least-privilege execution, environment
isolation, and gated promotion so your data platform deployments are auditable,
repeatable, and safe.
What's Included
Pipelines
| File | Purpose |
|---|---|
pipelines/terraform-infrastructure.yml |
Multi-stage Terraform pipeline with validate, plan, apply, and destroy stages with manual approval gates |
pipelines/databricks-dabs-deploy.yml |
Databricks Asset Bundles (DABs) deployment with multi-environment promotion |
pipelines/adf-arm-deploy.yml |
Azure Data Factory ARM template export and deployment |
pipelines/sql-database-migration.yml |
SQL database migration using sqlpackage and DACPAC |
Reusable Templates
| File | Purpose |
|---|---|
templates/shared-steps.yml |
Library of reusable step templates (checkout, auth, tagging, artifact publish) |
templates/notification-template.yml |
Teams and Slack notification templates for pipeline events |
Configuration Guides
| File | Purpose |
|---|---|
config/variable-groups.md |
Variable group configuration for multi-environment secrets management |
config/service-connections.md |
Service connection setup for Azure, Databricks, and GitHub |
config/branch-policies.md |
Branch policy templates for PR validation, required reviewers, and build checks |
config/release-gates.json |
Release gate configurations with manual approval and automated test gates |
Monitoring
| File | Purpose |
|---|---|
monitoring/pipeline-dashboard.yml |
Pipeline monitoring dashboard definition for Azure DevOps |
Guides
| File | Purpose |
|---|---|
guides/agent_pool_sizing.md |
Agent pool sizing guide covering self-hosted vs Microsoft-hosted trade-offs |
guides/unified_data_platform_cicd.md |
End-to-end CI/CD architecture guide for unified data platforms |
Target Stack
- Infrastructure: Terraform with Azure provider
- Compute: Databricks (Unity Catalog, DABs)
- Orchestration: Azure Data Factory
- Storage: Azure Data Lake Storage Gen2, Delta Lake
- Database: Azure SQL Database, Synapse SQL Pools
- CI/CD: Azure DevOps Pipelines (YAML)
Quick Start
- Copy the
pipelines/andtemplates/directories into your Azure DevOps repository. - Follow the guides in
config/to set up variable groups, service connections, and branch policies in your Azure DevOps project. - Update the variable references in each pipeline to match your environment names and resource naming conventions.
- Create pipeline definitions in Azure DevOps pointing to the YAML files.
- Configure approval gates per the
config/release-gates.jsonspecification.
Environment Model
All pipelines follow a three-environment promotion model:
dev --> staging --> prod
(gated) (gated + approval)
-
dev: Deployed on every merge to
develop. No approval required. -
staging: Deployed on merge to
release/*branches. Automated test gate. -
prod: Deployed on merge to
main. Manual approval + automated test gate.
Prerequisites
- Azure DevOps project with Pipelines enabled
- Azure subscription(s) for each target environment
- Service principals with scoped RBAC for each environment
- Terraform state storage (Azure Storage Account with state locking)
- Databricks workspace(s) with Unity Catalog (for DABs pipelines)
Conventions
- All pipelines use
triggerandprsections for branch-based activation. - Variable groups follow the naming pattern
vg-<project>-<environment>. - Service connections follow the naming pattern
sc-azure-<environment>. - All secrets are stored in Azure Key Vault and referenced via variable groups.
- Pipeline artifacts are published for audit and rollback purposes.
Related Products
- Databricks CI/CD Accelerator — Production CI/CD pipelines for Databricks
- Azure Data Factory Templates — Production-ready ADF pipeline templates
- Databricks Monitoring Suite — End-to-end monitoring for Databricks workloads
This is 1 of 20 resources in the Datanest Platform Pro toolkit. Get the complete [Azure DevOps for Data Pipelines] with all files, templates, and documentation for $59.
Or grab the entire Datanest Platform Pro bundle (20 products) for $199 — save 30%.
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