Feature — Recommendations

AI-Powered Cloud Recommendations

Receive intelligent, data-driven recommendations that identify waste, rightsize resources, and improve cloud efficiency — automatically surfaced by our AI engine across every cloud account.

app.cloudnetra.com/recommendations
AI Recommendations Engine
Savings Opportunities Detected
Total Savings
$18.4K
↓ Monthly
Actions
47
→ Pending
Rightsized
183
✓ Done
ROI
340%
↑ YoY
Savings by Category
Rightsizing
Reserved
AI Categories

Six Types of Smart Recommendations

Our AI continuously scans your cloud environment and generates prioritized, actionable savings recommendations across six key categories.

Rightsizing Recommendations

Detect over-provisioned VMs, containers, and databases. Get specific instance-type change recommendations backed by 30 days of usage data.

Avg. 25% compute savings
Idle Resource Detection

Identify resources running at near-zero utilization — stopped instances with EBS attached, idle load balancers, empty S3 buckets, and more.

Instant 100% savings on idle
Storage Optimization

Move infrequently accessed data to cheaper storage tiers. Delete unattached volumes, orphaned snapshots, and unused object storage automatically.

Up to 70% storage savings
Reserved Instance Suggestions

CloudNetra analyzes your steady-state workloads and recommends the optimal mix of 1-year and 3-year reserved instances across all cloud providers.

Up to 72% vs on-demand
Savings Plan Opportunities

Get personalised Compute, EC2 Instance, and SageMaker savings plan recommendations that balance flexibility with maximum discount potential.

Up to 66% discount
Resource Cleanup Recommendations

One-click cleanup for unused Elastic IPs, old AMIs, stale security groups, unused NAT gateways, and forgotten test environments that silently drain budget.

Eliminate 100% waste
How It Works

From Data to Savings in 4 Steps

1
Analyze Environment

Our AI ingests 30+ days of usage, cost, and configuration data from all your cloud accounts via read-only API connections.

2
Detect Waste

Machine learning models identify inefficiencies, idle resources, over-provisioned instances, and missed commitment discounts.

3
Recommend Savings

Prioritized recommendations are surfaced with projected savings, risk level, and one-click implementation instructions for your team.

4
Implement Changes

Execute recommendations manually or via automation. Track realized vs. projected savings and continuously improve over time.

Business Impact

Real Results, Not Just Suggestions

Reduce Monthly Cloud Costs by an Average of 40%
Improve Resource Utilization from 30% to Over 80%
Increase Cloud ROI with Data-Backed Commitment Purchases
Automate Optimization and Reduce Manual FinOps Overhead
40%
Avg. Cost Reduction
47
Avg. Actions Found
24h
Time to First Insight
340%
Average ROI
Save More Today

Start Saving More Today

Connect your cloud accounts and get your first AI recommendations within 24 hours.