The AI DBA Journey
From alert to remediation in a single autonomous loop. Watch Maya diagnose a live production incident end-to-end — in under four minutes.
Unified Alert Triage
Automatically intercepts triggers from your existing observability stack.
- Correlates DataDog monitors and ServiceNow tickets
- Eliminates alert fatigue by filtering noise
- Sets the investigation context instantly
RDS CPU Utilization > 90%
host: prod-db-01
Unified Alert Triage
Automatically intercepts triggers from your existing observability stack.
- Correlates DataDog monitors and ServiceNow tickets
- Eliminates alert fatigue by filtering noise
- Sets the investigation context instantly
RDS CPU Utilization > 90%
host: prod-db-01
Autonomous Agent Deployment
Our AI DBA agent prioritizes the alert and begins a targeted investigation.
- Assesses business impact in real-time
- Assigns specialized sub-agents for RDS / Aurora
- Initializes a secure diagnostic session
Agent 'Maya'
analyzing prod-db-01
Autonomous Agent Deployment
Our AI DBA agent prioritizes the alert and begins a targeted investigation.
- Assesses business impact in real-time
- Assigns specialized sub-agents for RDS / Aurora
- Initializes a secure diagnostic session
Agent 'Maya'
analyzing prod-db-01
Multi-Source Data Fusion
The agent pulls full-stack telemetry to build a 360-degree view of the incident.
- Queries AWS CloudWatch & RDS Performance Insights
- Pulls deep-trace metrics from DataDog
- Inspects infrastructure logs for hardware anomalies
Multi-Source Data Fusion
The agent pulls full-stack telemetry to build a 360-degree view of the incident.
- Queries AWS CloudWatch & RDS Performance Insights
- Pulls deep-trace metrics from DataDog
- Inspects infrastructure logs for hardware anomalies
Context-Aware Intelligence
It learns from your organization's specific tribal knowledge and prior playbooks.
- Scans Confluence and SharePoint for legacy runbooks
- Incorporates custom Notion documentation
- Avoids repeating past troubleshooting mistakes
Postgres_Scaling_Guide
Confluence · runbook
Index_Policy_2025
Confluence · runbook
Context-Aware Intelligence
It learns from your organization's specific tribal knowledge and prior playbooks.
- Scans Confluence and SharePoint for legacy runbooks
- Incorporates custom Notion documentation
- Avoids repeating past troubleshooting mistakes
Postgres_Scaling_Guide
Confluence · runbook
Index_Policy_2025
Confluence · runbook
Deep Historical Analysis
Moves beyond the current spike to understand the long-term trend and creeping degradation.
- Analyzes performance patterns over the last 3 months
- Correlates current slow-down with historical peak loads
- Identifies creeping degradation before it escalates
Avg CPU · prod-db-01
94% +58% vs. baseline
Deep Historical Analysis
Moves beyond the current spike to understand the long-term trend and creeping degradation.
- Analyzes performance patterns over the last 3 months
- Correlates current slow-down with historical peak loads
- Identifies creeping degradation before it escalates
Avg CPU · prod-db-01
94% +58% vs. baseline
Pinpoint Accuracy
The AI identifies the specific technical failure with high confidence and clear evidence.
- Isolates the 'Top SQL' causing the bottleneck
- Detects missing indexes on high-growth tables
- Maps the lock contention chain end-to-end
Diagnosis complete
High-confidence match
98%
Confidence
Root cause
PostgreSQLMissing index on orders.store_id
Top SQL
SELECT … FROM orders WHERE store_id = $1
Est. gain
12× faster
Pinpoint Accuracy
The AI identifies the specific technical failure with high confidence and clear evidence.
- Isolates the 'Top SQL' causing the bottleneck
- Detects missing indexes on high-growth tables
- Maps the lock contention chain end-to-end
Diagnosis complete
High-confidence match
98%
Confidence
Root cause
PostgreSQLMissing index on orders.store_id
Top SQL
SELECT … FROM orders WHERE store_id = $1
Est. gain
12× faster
Safe, Prescriptive Remediation
Delivers a ready-to-execute fix to your Ops team, with a human-in-the-loop gate.
- Generates safe, concurrent DDL statements
- Validates migration impact against current load
- Creates a Slack / Jira ticket for final human approval
CREATE INDEX CONCURRENTLY idx_store_id ON orders(store_id);
Safe, Prescriptive Remediation
Delivers a ready-to-execute fix to your Ops team, with a human-in-the-loop gate.
- Generates safe, concurrent DDL statements
- Validates migration impact against current load
- Creates a Slack / Jira ticket for final human approval
CREATE INDEX CONCURRENTLY idx_store_id ON orders(store_id);
Transform Your Database Operations with AI Intelligence
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