AI-Assisted Database Operations
JusDB Autopilot
Autopilot turns database telemetry into risks, diagnoses, and recommended changes. Engineers review the recommendations, and production actions follow the permissions and approval controls agreed for your environment.
Interactive Demo · Sample Data
Explore the Autopilot workflow
This dashboard uses illustrative telemetry and is not connected to a production database. Its action controls are demonstrative.
demo@example.com
JusDB Autopilot
Interactive product demonstration using sample fleet data
Autopilot Intelligence
Workload analysis with reviewable, approval-controlled actions
Cluster Status Overview
Sample-MySQL
Sample MySQL cluster v8.0.35
Sample-PostgreSQL
Sample analytics PostgreSQL cluster v15.4
Sample-Redis
Sample Redis cache cluster v7.0.12
Sample-MongoDB
Sample MongoDB document cluster v6.0.8
Sample-Elasticsearch
Sample Elasticsearch cluster v8.9.2
Recent Autopilot Activity
Pre-approved query optimization applied
Sample-MySQL
Pre-approved connection-pool change applied
Sample-PostgreSQL
Index optimization scheduled
Sample-MongoDB
Capabilities
Intelligent features for modern databases
Autopilot combines machine learning with database engineering to support diagnosis, recommendations, and governed remediation.
AI-Assisted Analysis
Analyze query and configuration patterns to surface recommendations for engineer review.
Query Tuning Recommendations
Review query behavior and potential index changes before applying them through your change process.
Capacity Planning Signals
Use historical workload patterns to highlight constraints and inform scaling decisions.
Governed Remediation
Run approved remediation through defined permissions, validation, and rollback controls.
Anomaly Detection
Flag unusual database patterns so engineers can investigate them in context.
Cost Review
Identify rightsizing and resource-allocation opportunities for your team to assess.
Automation
Automation for database operations
From query analysis to capacity planning, Autopilot organizes signals and recommendations so your team can make informed changes.
How Autopilot Works
Continuous learning loop
Monitor
Collect configured metrics from connected database instances
Analyze
Models and rules surface patterns and potential improvements
Review
Engineers validate recommendations against production context
Execute
Approved changes follow agreed controls and rollback steps
Coverage
Built for supported database engines
We confirm engine, version, hosting, and integration compatibility during scoping.
Production change controls
Autopilot can use read-only access for analysis. Any production change follows your agreed permissions, approval gates, and change controls.
- Read-only assessment mode
- Customer-defined roles and access
- Approval and rollback controls
- Auditable activity history
Ready to explore Autopilot?
See how AI-assisted monitoring and recommendations could fit your database operations and change process.
JusDB Autopilot uses database telemetry to surface patterns, risks, and recommended actions. Engineers review those recommendations in context. Any automated production action must be explicitly pre-approved and remains subject to the access, risk, validation, and rollback controls agreed for your environment.