Key metrics for monitoring Databricks
Learn about key metrics for monitoring the health, performance, and costs of Databricks data engineering, analytics, and Model Serving workloads.
- Product
Infrastructure
Applications
Data
Logs
Security
- Overview
- Code Security
- Software Composition Analysis
- Static Code Analysis
- Runtime Code Analysis
- IaC Security
- Secret Scanning
- Cloud Security
- Sensitive Data Scanner
- Cloud Security Posture Management
- Cloud Infrastructure Entitlement Management
- Vulnerability Management
- Compliance
- Cloud Workload Protection
- App & API Protection
- Cloud SIEM
- Bits Security Analyst
Digital Experience
Software Delivery
Service Management
AI
Platform Capabilities
- Bits AI
- Bits Chat
- Bits Agent Builder
- Alerts
- Custom Metrics
- Dashboards
- Notebooks
- Mobile App
- Fleet Automation
- Access Control
- Governance Console
- DORA Metrics + AI Impact
- Incident Management
- Work Management
- Workflow Automation
- Teams
- OpenTelemetry
- Integrations
- IDE Plugins
- MCP Server
- Agent Directory
- Datadog Apps
- API
- Marketplace
- Pup CLI
- Software Catalog
- Service Level Objectives
- Customers
- Pricing
- Solutions
- Financial Services
- Manufacturing & Logistics
- Healthcare/Life Sciences
- Retail/E-Commerce
- Government
- Education
- Media & Entertainment
- Technology
- Gaming
- Amazon Web Services Monitoring
- Azure Monitoring
- Google Cloud Monitoring
- Oracle Cloud Monitoring
- Kubernetes Monitoring
- Red Hat OpenShift
- Pivotal Platform
- OpenAI
- SAP Monitoring
- OpenTelemetry
- Application Security
- Cloud Migration
- Monitoring Consolidation
- Unified Commerce Monitoring
- SOAR
- DevOps
- FinOps
- Shift-Left Testing
- Digital Experience Monitoring
- Security Analytics
- Compliance for CIS Benchmarks
- Hybrid Cloud Monitoring
- Edge Device Monitoring
- Real-Time BI
- On-Premises Monitoring
- Log Analysis & Correlation
- CNAPP
- Database Visibility
Industry
Technology
Use Case
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