How Adps AI Reduces AWS Costs With Autonomous Optimization

AWS billing complexity has become the biggest challenge facing engineering and finance teams. With hundreds of services, thousands of SKUs, and fluctuating demand patterns, cost visibility is nearly impossible.

Adps AI solves this with autonomous cost optimization — powered by machine learning, predictive modeling, and continuous monitoring.

Key AWS Cost Problems

• Over-provisioned EC2 and EKS nodes

• Idle resources

• Unused EBS volumes

• Wrong storage classes

• High data transfer fees

• Lack of autoscaling governance

  
  

What Adps AI Does Automatically

Adps AI agents:

✔ Detect unused or idle AWS resources

✔ Rightsize EC2/EKS workloads

✔ Recommend cheaper compute families

✔ Enforce intelligent auto-scaling

✔ Clean zombie infrastructure

✔ Optimize S3 storage tiers

✔ Predict future cost spikes

Predictive Scaling Saves Millions

Traditional autoscaling reacts after load increases.

Adps AI predicts load using ML models and scales before the surge hits

Results

Customers see:

• Up to 40% AWS cost reduction

• Fewer surprises in monthly billing

• Higher performance with less spend

AI optimizes better, faster, and continuously.