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Azure Databricks — Deployment

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Deployment

Topic URL
Deploy Databricks stacks using the legacy Stack CLI https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/stack-cli
Deploy MLflow models with legacy Databricks Model Serving https://learn.microsoft.com/en-us/azure/databricks/archive/legacy-model-serving/model-serving
Export and import Databricks dashboards across workspaces https://learn.microsoft.com/en-us/azure/databricks/dashboards/automate/import-export
Run Databricks bundles in air-gapped environments via Docker https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/airgapped-environment
Deploy Databricks bundles and run workflows from the workspace https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/workspace-deploy
Implement CI/CD pipelines for Azure Databricks https://learn.microsoft.com/en-us/azure/databricks/dev-tools/ci-cd/
Set up Azure DevOps CI/CD pipelines for Databricks https://learn.microsoft.com/en-us/azure/databricks/dev-tools/ci-cd/azure-devops
Use Databricks GitHub Actions for CI/CD pipelines https://learn.microsoft.com/en-us/azure/databricks/dev-tools/ci-cd/github
Prepare workspace and local environment for Databricks Apps https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/configure-env
Deploy Databricks apps via UI and CLI https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/deploy
Use Declarative Automation Bundles with Databricks VS Code https://learn.microsoft.com/en-us/azure/databricks/dev-tools/vscode-ext/bundles
Deploy custom AI agents on Databricks Apps with Agent Framework https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/author-agent
Author and deploy Databricks agents on Model Serving https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/author-agent-model-serving
Build and deploy a chat UI for Databricks agents https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/chat-app
Deploy Databricks AI agents with Model Serving https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/deploy-agent
Download and reference the legacy Databricks JDBC driver https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc/download
Plan Infrastructure as Code strategy for Azure Databricks https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/deployment-guide/iac
Deploy Databricks batch inference pipelines with AI Functions https://learn.microsoft.com/en-us/azure/databricks/large-language-models/batch-inference-pipelines
Deploy and query a Databricks feature serving endpoint with SDK https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/feature-serving-tutorial
Deploy provisioned throughput Foundation Model APIs on Databricks https://learn.microsoft.com/en-us/azure/databricks/machine-learning/foundation-model-apis/deploy-prov-throughput-foundation-model-apis
Integrate Databricks ML workflows into CI/CD pipelines https://learn.microsoft.com/en-us/azure/databricks/machine-learning/mlops/ci-cd-for-ml
Use serverless optimized deployments for model serving https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/serverless-optimized-deployments
Use MLflow 3 deployment jobs for model lifecycle https://learn.microsoft.com/en-us/azure/databricks/mlflow/deployment-job
Package GenAI app code for Databricks Model Serving https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/prompt-version-mgmt/version-tracking/optionally-package-app-code-and-files-for-databricks-model-serving
Deploy Databricks agents with automatic MLflow tracing https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/prod-tracing
Enable MLflow Tracing for agents deployed outside Databricks https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/prod-tracing-external
Create and manage scheduled Databricks notebook jobs https://learn.microsoft.com/en-us/azure/databricks/notebooks/schedule-notebook-jobs
Provision Lakebase resources with Terraform https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/automate-with-terraform
Manage Databricks Git folders with Terraform https://learn.microsoft.com/en-us/azure/databricks/repos/automate-with-terraform
Integrate Databricks Git folders into CI/CD workflows https://learn.microsoft.com/en-us/azure/databricks/repos/ci-cd
Check Azure Databricks feature availability by region https://learn.microsoft.com/en-us/azure/databricks/resources/feature-region-support
Understand Azure Databricks platform release windows https://learn.microsoft.com/en-us/azure/databricks/resources/platform-release
Use Databricks-hosted RStudio Server runtimes https://learn.microsoft.com/en-us/azure/databricks/sparkr/hosted-rstudio-server
Migrate legacy line charts to new Databricks chart types https://learn.microsoft.com/en-us/azure/databricks/visualizations/legacy-charts