Prevent outages hours before it happens
From Signals to Prediction!Predictive AI Intelligence for Production Databases
Predict what's next?
Forecast database failures and saturation using learned behavioral patterns—not static thresholds
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Decide with confidence!
Turn predictive insights into clear, prioritized actionable recommendations before issues escalate.
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Act Before Impact
Stay ahead of incidents and outages, not trapped in reactive firefighting.
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Built for ops & growth teams · No data-science degree required.
How It Works
From raw database telemetry to predicted risk and recommended actions in real time.
Collector Agent
A lightweight agent runs alongside your production database (sidecar configuration), collecting high-signal telemetry without impacting performance or requiring elevated privileges
Understand Context
Native database signals are enriched with timing, capability, and role awareness, allowing the system to learn normal behavior and focus only on what truly matters
Predict Risk
Behavioral models analyze live signals to forecast failures, saturation, performance degradation, and cost acceleration—hours before incidents occur.
Prescribe Action
Predicted risks are translated into clear, prioritized actions—what to fix, where to look, and why—so teams act early instead of firefighting.
15-minute demo - see real clickstream data flowing through the pipeline
What the Agent Actually Says?
Example: Your current Disk I/O trend indicates an activity storm in ~20 minutes. Write latency is 20% higher than the last 4-day baseline. This is not a historic spike — it’s a sustained acceleration.
Monitoring vs Prediction
Monitoring answers “what’s happening now.” Prediction answers “what will break next.”
Prediction — Cost Intelligence
Predict and Control Database Cost Before It Spikes
Transforms streaming workload, query-shape, storage growth, and resource-consumption signals into live cost indicators — forecasting spend acceleration, inefficient query patterns, storage bloat, and over-provisioning trends before cloud bills surge.
Ideal for: Platform, FinOps, and engineering teams who need forward-looking cost visibility to right-size infrastructure, prevent runaway spend, and balance performance with efficiency in production environments.
Normal State Drift & Anomaly Confidence
Continuously Learn What “Healthy” Looks Like
Builds a dynamic, learned Normal State for each database by observing real workload behavior over time — capturing seasonality, growth patterns, deployment changes, and usage shifts to distinguish true risk from expected variation.
Instead of static baselines, the system adapts as your system evolves.
Ideal for: SRE, DBA, and reliability teams who want high-confidence predictions, fewer false positives, and alerts that reflect how their database actually behaves, not generic rules.
Intelligence
Predictive Intelligence for Production Databases
Transforms streaming database telemetry and behavioral signals into live predictive indicators — forecasting failure risk, capacity exhaustion, performance degradation, and replication instability hours before they impact applications and revenue.
Ideal for: Platform, SRE, DBA, and data engineering teams who need early, behavior-based warnings (not static thresholds) to prevent outages, plan capacity, and intervene before incidents reach customers.
- Event-to-insight latency
- <2s
- Events processed daily
- 100M+
- Faster A/B test results
- 10x
- Your cloud, your data
- BYOC