Stop paying for unused resources. Our ML-powered autoscaling predicts demand spikes, scales proactively, and optimizes costs automatically - saving you thousands monthly.
⚡ 5-minute setup • 💰 Average 60% cost reduction • 🔒 Zero downtime
Most companies waste 40-70% of their infrastructure budget on over-provisioned resources.
Running too many resources 24/7 wastes thousands monthly
Human intervention can't keep up with traffic spikes
Choosing between good performance OR low costs
Scaling after problems occur instead of preventing them
Our AI learns your patterns and scales infrastructure before you need it.
Machine learning analyzes your historical traffic, CPU, memory, and business patterns to understand demand cycles.
Scales infrastructure 5-10 minutes before demand spikes, ensuring performance while minimizing costs.
Balances performance requirements with cost optimization, choosing cheaper instance types when possible.
Built-in protection prevents runaway scaling costs with customizable limits and alerts.
Stop overpaying for infrastructure while maintaining peak performance.
Average infrastructure cost savings through intelligent scaling
Proactive scaling prevents performance degradation
Deploy autoscaling policies without code changes
Gradual scaling with health checks and rollback protection
AI improves scaling decisions based on new data patterns
"DeepCost's autoscaling cut our AWS bill by 68% in the first month. During our Black Friday traffic spike, it scaled from 20 to 200 pods automatically, maintaining 99.9% uptime while our competitors crashed."
Seamless integration with all major cloud providers and orchestrators.
No. Our gradual scaling approach with health checks ensures zero downtime. We scale ahead of demand spikes and include automatic rollback if issues are detected.
Predictive scaling happens 5-10 minutes before demand spikes. Reactive scaling responds within 30-60 seconds for unexpected traffic.
Yes. You can set daily, weekly, or monthly spending limits. The system will prioritize cost over performance when approaching limits.
Absolutely. We integrate with existing HPA/VPA configurations and can enhance them with ML predictions and cost optimization.
You can override any decision manually, set custom rules, and the AI learns from corrections. We also provide audit logs of all scaling decisions.