Predictive Analytics for Cloud Infrastructure

Forecast demand, prevent failures, and plan cloud capacity like a time traveler with a business case. Ideal for teams who’ve been burned by sudden surges—or silence.

See Spikes Coming Before They Cost You

Most teams monitor. The best teams predict.
If your cloud costs spike without warning, performance bottlenecks catch you off guard, or resource limits get discovered too late—then you’re flying blind. Logs and dashboards tell you what happened. Predictive analytics tells you what’s next.

Anticipate demand. Prevent downtime. Optimize in real time.
At Inventive, we develop predictive infrastructure analytics that harness your operational data to forecast workload patterns, capacity risks, cost surges, and incident triggers—before they impact your business. No more scrambling. Just smart, data-driven action.

AI + telemetry = foresight at scale.
We integrate with your cloud platforms (AWS, Azure, GCP) and tooling (Datadog, Prometheus, CloudWatch, etc.) to model trends in compute, memory, disk, and network behavior. Our systems surface alerts, resource scaling triggers, and cost overages before they happen—so you can plan with precision.

From fire drills to forward planning.
A media platform avoided $42K in autoscaling costs by preemptively tuning instance types. A fintech company cut downtime risk by 87% after implementing anomaly prediction across cloud services. Another team reallocated resources ahead of demand spikes—improving SLA compliance and saving engineering hours.

Why react when you can prepare?
Inventive gives you predictive visibility into your cloud infrastructure—so you can stop firefighting and start forecasting.

Why react when you can predict?

With predictive analytics, we scaled our infrastructure 12 hours before the surge—not 12 minutes after it failed.

Director of Cloud Engineering, Higher Ed Institution

See Spikes Coming Before They Cost You

  • Traffic spikes break your app. Every. Time.
  • You find out about cost overruns from your AWS invoice.
  • You only monitor when something breaks. (Yikes).
40%

Higher Uptime

GE Aviation’s Predictive Edge

Forecasted failures led to proactive fixes—and far fewer headaches.

35%

Lower EC2 Waste

Adobe’s Smart Scaling Strategy

Historical analysis = cost cuts without performance drops.

50%

Fewer Idle Resources

University IT’s Semester Prep

Load prediction eliminated overprovisioning (and panic).

See Spikes Coming Before They Cost You

Feature Reactive & Risky Manual Forecasting Predictive Analytics (This Tier)
Downtime Risk Surprises = downtime + $$$ Guesstimates based on past trends Real-time models forecast usage, spend, failures
Ops Efficiency Ops team plays catch-up Occasional reviews, no automation Automated scaling + anomaly alerts
Financial Planning Budgeting by hindsight Limited visibility Data-driven infra strategy tied to KPIs