For AI agents: the docs index is at https://docs.getmontecarlo.com/llms.txt. Append .md to any documentation page URL to get its markdown version.
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ClickHouse (public preview)
Adding Additional Warehouses
Databricks
Troubleshooting & FAQ: Databricks
Databricks Workflows
Data Lakes
Metastores
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Hive Metastore
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Troubleshooting & FAQ: Data Lakes
Appendix: Data Lakes
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Creating event notifications
Adding Additional Connections
Metastore + Query Engine Functionality Matrix
Transactional Databases
SQL Server
Postgres
Azure SQL Database
Oracle DB
MySQL
SAP HANA
Salesforce CRM
Db2 (public preview)
Vector Databases
Pinecone (public preview)
Object Storage: S3, GCS and ABS
Snowflake External Tables
Redshift External Tables
Glue External Tables
Azure Synapse (Dedicated SQL Pool) External Tables
BigQuery External Tables
Databricks External Tables
BI Tools
Looker
Troubleshooting and FAQs: Looker
Mode BI
Periscope/Sisense (public preview)
Power BI
Power BI - Credential Creation Process
Troubleshooting and FAQs: Power BI
Sigma
Tableau - Connected Apps version, recommended
Troubleshooting and FAQs: Tableau
Tableau - PAT version, CLI-only initial setup
Troubleshooting and FAQs: Tableau (PAT version, CLI-only)
Hex
Orchestration & Transformation
Airflow
Airflow in Lineage
Airflow Alerts and Task Observability
Airflow DAG and Task Lineage
dbt Integration
dbt Cloud
dbt Core
dbt Failures As Monte Carlo Alerts
Fivetran Integration
Troubleshooting and FAQ: Fivetran
Kafka (public preview)
Confluent Cloud (public preview)
Self-Hosted Kafka (public preview)
Prefect
Circuit breakers
Using providers
Azure Data Factory
Additional Support for ADF in Lineage
GCP Dataform (Public Preview)
Snowflake Tasks (Public Preview)
Real-Time Task Failure Notifications
Power BI Dataflows (Public Preview)
Code Repositories
GitHub
GitHub Enterprise Server (GHES) Integration
GitLab (public preview)
Azure DevOps
Bitbucket (public preview)
Notifications & Collaboration
Azure DevOps Work Items
Datadog
FireHydrant
Google Chat
Incident.io
Jira
Linear
Microsoft Teams
[Legacy version] Microsoft Teams
Opsgenie
PagerDuty
ServiceNow
Slack
Slack AI
Monte Carlo Slack AI Use Cases
Webex
Webhooks
Catalogs
Alation
Atlan
Collibra
data.world
Secoda
Select Star
Custom Warehouse, Database, and Lake Integrations (Public Preview)
Push Ingest API
Example: IOMETE
Custom Connectors
Validating with Monitors
Example: CockroachDB
Example: Oracle DB v11
Example: Microsoft Fabric
Custom ETL and Orchestration Integrations (Public Preview)
Push Ingest API
Custom Connectors
Example: Matillion Maia (Public Preview)
Example: AWS Step Functions (Public Preview)
Lineage Between Jobs and Tables
Data Collection: Details per Integration
Data Asset Validators
Updating an Integration
Federated and linked connections and assets
Developer Tools
Overview
Monitors as Code
Setting Up Monitors as Code
Agent Monitors
Agent Metric Monitor
Agent Evaluation Monitor
Agent Trajectory Monitor
Agent Validation Monitor
Table Monitors
Table Monitor
JSON Schema Monitor
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Metric Monitor
Comparison Monitor
Bulk Monitor
Validation Monitors
Validation Monitor
Custom SQL Monitor
Job Monitors
Query Performance Monitor
Deprecated Monitors
Freshness (deprecated)
Volume (deprecated)
Field Health (deprecated)
Field Quality (deprecated)
Comparison (deprecated)
CI/CD Integration
Generating MC monitors from dbt tests
Notifications as Code
API
API Authentication
API Explorer
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General
Integrations
Lineage
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Troubleshooting and FAQs: API
CLI
Secret management with the CLI
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SQL Notebooks (public preview)
MC Bridge (public preview)
Validation Notebook Generation (public preview)
Platform
Overview
Deployments
AWS: Data Store Deployment
AWS: Agent Deployment
Azure: Data Store Deployment
Azure: Agent Deployment
GCP: Data Store Deployment
GCP: Agent Deployment
Generic Agent Deployment
Generic Agent: Docker Compose Deployment
Generic Agent: Kubernetes Deployment
Generic Agent: AWS EKS Deployment
Generic Agent: Azure AKS Deployment
Generic Agent: GCP GKE Deployment
Generic Agent: Object Storage
Generic Agent: Secrets Management
Generic Agent: Proxies and Traffic Inspection
Agent Service AWS PrivateLink
Agent Service Azure Private Link
Generic Agent: On-Premises Private Connectivity
Agent Observability Data Platform
Agent Observability Platform: Deploy on AWS
Agent Observability Platform: Prerequisites (AWS)
Agent Observability Platform: Installation (AWS)
Agent Observability Platform: Connect to Monte Carlo (AWS)
Agent Observability Platform: High Availability (AWS)
Agent Observability Platform: Configuration Reference (AWS)
Agent Observability Platform: Self-Managed Helm Install (AWS)
Agent Observability Platform: Deploy on Azure
Agent Observability Platform: Prerequisites (Azure)
Agent Observability Platform: Installation (Azure)
Agent Observability Platform: Connect to Monte Carlo (Azure)
Agent Observability Platform: High Availability (Azure)
Agent Observability Platform: Configuration Reference (Azure)
Agent Observability Platform: Self-Managed Helm Install (Azure)
Agent Observability Platform: Deploy on GCP
Agent Observability Platform: Prerequisites (GCP)
Agent Observability Platform: Installation (GCP)
Agent Observability Platform: Connect to Monte Carlo (GCP)
Agent Observability Platform: High Availability (GCP)
Agent Observability Platform: Configuration Reference (GCP)
Agent Observability Platform: Self-Managed Helm Install (GCP)
Agent Observability Platform: Troubleshooting & FAQ
Network Connectivity
AWS PrivateLink
AWS Endpoint Services
Azure Private Link
Data Collector
Upgrading the Collector
Additional Resources
Agent Management
Rotating Keys
Integration Specific Deployments
Snowflake Native App
Platform Migrations
Migrating from a Remote Data Collector
Self Hosted Credentials with the Agent
Connection Auth Rules (Private Preview)
Advanced Usage
PII Filtering
Audit Logging
Network Access Control
Configuring Data Sampling
Session Configuration
Security & Compliance
Overview
Common Security Evaluation Questions
Access Management
Data Protection and Encryption
Agent Trust Security
Agent Trust Privacy & Data Handling
Security
Infrastructure Security
Application Security
AI Security & Governance
LLM Training & Observability
Vulnerability Disclosure Policy
Compliance
Privacy
Subprocessors
Information Monte Carlo Collects
Data Sampling
Customer Support AI Use at Monte Carlo
Hosting & Architecture Options
Regional Hosting
EU Regional Hosting
EU Regional Hosting - Technical Specs
Dedicated Instance
Dedicated Instance - Disaster Recovery
AI Agents - AI Features & Technical Info
AI Agents - Architecture & Data Handling
AI Agents - Technical Specs
Monte Carlo MCP Server Technical Overview
Custom MCP Servers Technical Overview
Resources
Credit Consumption & Chargebacks
Consumption Rates - Version 2.1
Consumption Rates - Metric Monitor Extended Scale - Version 2.1
Consumption Rates - Version 1.1
Chargebacks
Consumption of Monte Carlo credits
Consumption of warehouse resources
Integration & Feature Lifecycles
Getting Support with Monte Carlo
Monte Carlo at a Glance
📝 Monte Carlo 101 Certification
Access Troubleshooting
🧑🎓 Monte Carlo University
Getting Started | MC University
Detect
🧑🎓 Assets
🧑🎓 Lineage
🧑🎓 Freshness Monitor
🧑🎓 Volume Monitor
🧑🎓 Schema Monitor
🧑🎓 Metric Monitor
🧑🎓 SQL Monitors
🧑🎓 Comparison Rules
🧑🎓 Monitors as Code
🧑🎓 Validation Monitor
🧑🎓 JSON Schema Monitor
🧑🎓 Query Performance Monitor
🧑🎓 Monitoring Agent
🧑🎓 Data Products
🧑🎓 Data Profiler
🧑🎓 Warehouse Navigation
Triage
🧑🎓 Key Assets
🧑🎓 Domains
🧑🎓 Alert Feed
🧑🎓 Incident Management Overview
🧑🎓 Status Updates
🧑🎓 Integrating Airflow
🧑🎓 Notifications as Code
🧑🎓 Triaging Notifications
Resolve
🧑🎓 Circuit Breakers
🧑🎓 Monte Carlo Python SDK
🧑🎓 Resolving Notifications
🧑🎓 Usage Management
🧑🎓 Performance
🧑🎓 Exclusion Windows
🧑🎓 Monitor Templates
Measure
🧑🎓 Monitor Tags & Dimensions
🧑🎓 Data Quality Dashboard
🧑🎓 Data Operations Dashboard
🧑🎓 Table Health Dashboard
🧑🎓 Monte Carlo API
Settings
🧑🎓 SSO, User Groups and Permissions
🧑🎓 Billing Page
🧑🎓 User Profiles and Email Digest
Monte Carlo Mastery Series
🧑🎓 How To Avoid Alert Fatigue & Manage Incidents Effectively
🧑🎓 Creating an Alert Strategy that Guarantees Action
🧑🎓 Creating a Proactive Monitoring Strategy with Monte Carlo
🧑🎓 How to Scale Data Quality with Data Observability + Data Testing
🧑🎓 Setting Up Your Monitoring Strategy for Maximum Impact
🧑🎓 How to Optimize Cost, Stakeholder Experience and Data Trust with Performance
🧑🎓 Optimize Data Quality for Key Assets with Data Products
🧑🎓 How to Roll Out Data Observability to Your Organization
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