Blueprint Lakehouse Optimizer Documentation
Welcome to the Blueprint Lakehouse Optimizer
The Lakehouse Optimizer by Blueprint is a cutting-edge tool that monitors Databricks environments, detects issues in data pipelines, and delivers intelligent recommendations to improve performance and reduce costs — ultimately optimizing total cost of ownership.
How LHO assists you:
Proactive reporting
Proactive and simplified detection of anomalies in your data and models, reducing time to market and operational costs incurred due to inefficiencies.
Unified tooling from data to ML
Gain complete visibility into all your data and models in a matter of minutes. The auto-generated metrics enable you to measure the impact of your data and ML products more effectively right out of the box.
Automated root cause analysis
Seamlessly debug data and model quality issues by tracing root cause back to the anomalies. Capabilities such as automated root cause analysis mean less time to value and higher efficiencies in your production pipelines.
ℹ️ Documentation overview
- DAIS 2026 - Databricks AI Summit San Francisco
- Cost Plans: cost you can trust
- See your true cost: Databricks + cloud, over time
- Recommendations: know what to change
- Incidents: catch problems early
- Vendor Consolidation: stop paying twice
- The depth behind every number: 400+ variables, modeled
- Better together with Databricks
- Executive Insights: the leadership view
- Introduction
- AWS Databricks
- Azure Databricks
- Help Center
- LHO Core Pillars
- Understanding LHO Recommendations for Jobs
- Forecasting page
- Budget and Commit configuration
- Client Success KPIs
- Cost Over Time page
- Best Practices for Getting the Most from LHO
- Vendor Consolidation: Reducing Cost, Complexity, and Operational Inefficiency
- Incidents Guides
- Pool Contention and Idle VMs Reporting guide
- Settings: Analysis Management guide
- Unity Catalog Migration (UCM) Assessment
- Connecting to LHO data in Databricks with Lakehouse Federation
- Extensibility
- Updating LHO License
- Consumption Data Management
- Auto-Pilot Monitoring
- "How‑To" and "Why" Collection
- Supported Browsers
- Support and Backup
- Post-Deployment Operational Guide
- Local SQL server backup and restore procedures
- Azure: Script for granting the LHO Service Principal the required permissions in a target workspace
- Script for granting a Databricks user read-only access in a target workspace, using LHO
- Uninstall Process: Removing LHO from your AWS account
- Uninstall Process: Removing LHO from your Azure Subscription
- Release Notes
- Contact Us
- FAQs - Frequently Asked Questions
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