ProphetStor’s DataProphet Recommendation Engine takes the forecasts from CrystalClear Time Series Analysis Engine and turns them into Just-in-Time resource recommendations for cloud and on-prem operations, automating the performance and cost optimization that traditionally requires manual, reactive tuning.
How It Sees the Full Stack
North-South Insight
Understands how layers of IT infrastructure connect — from the application down to servers and cloud instances — so recommendations account for the full stack, not just one layer.
East-West Dynamics
Tracks how applications and microservices respond to shifting workloads, so recommendations adapt as demand changes in real time.
DataProphet Recommendation Engine maps North-South Insight across the infrastructure stack and East-West Dynamics across service mesh and data mesh layers
Why It’s Fast Enough to Be Useful
Multi-Layer Correlation
Instead of computing correlations across every possible data source, DataProphet focuses only on the layers that matter for decision-making — cutting computation by up to 1,000x.
Built on CrystalClear Time Series Analysis Engine
Predictions come from CrystalClear Time Series Analysis Engine, which generates accurate forecasts fast enough to support continuous, automated recommendations at scale.
Where It Fits
Cloud & On-Prem Operations
Works with monitoring sources like Datadog, Prometheus, Sysdig, and major cloud providers’ native monitoring tools to turn visibility into continuous optimization.
Service Mesh & Data Mesh
Complements solutions like Istio and Kafka by adding workload predictions they don’t provide on their own — helping scale the right components before bottlenecks form.
Cloud MSPs
Gives managed service providers the application-level insight needed to recommend resource placement and pricing tiers, without requiring a large team of cloud-certified engineers.
Frequently Asked Questions
What does DataProphet Recommendation Engine do?
It converts resource usage predictions from CrystalClear Time Series Analysis Engine into Just-in-Time fitted resource recommendations for cloud and on-prem operations.
How is it different from standard cloud monitoring tools?
Monitoring tools show what’s happening; DataProphet Recommendation Engine analyzes correlations across the full stack and recommends what to do next, without requiring manual analysis.
Does it work with my existing monitoring stack?
Yes. It integrates with common monitoring sources like Datadog, Prometheus, Sysdig, and native cloud provider monitoring tools through a standard data adaptation layer.