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Cloud cost optimization is critical for businesses leveraging AWS, Azure, or GCP. Unnecessary expenses often arise from over-provisioned resources, idle instances, and inefficient architectures. Below are actionable strategies to reduce cloud bills.
You Should Know:
1. Identify and Eliminate Idle Resources
Idle instances and unattached storage drive up costs. Use these commands to detect waste:
- AWS:
aws ec2 describe-instances --query 'Reservations[].Instances[].[InstanceId,State.Name]' --output text | grep "stopped" aws ec2 describe-volumes --query 'Volumes[].[VolumeId,State]' --output text | grep "available"
Azure:
az vm list --query "[?powerState!='VM running'].{Name:name, PowerState:powerState}" --output table az disk list --query "[?diskState=='Unattached'].{Name:name}" --output table
GCP:
gcloud compute instances list --filter="status=TERMINATED" gcloud compute disks list --filter="status=UNATTACHED"
2. Right-Sizing Instances
Downsize over-provisioned VMs:
- AWS: Use AWS Compute Optimizer
- Azure: Use Azure Advisor
- GCP: Use Recommender API
3. Automate Scheduling (Start/Stop Non-Prod Instances)
AWS Lambda + CloudWatch:
import boto3 def lambda_handler(event, context): ec2 = boto3.client('ec2') ec2.stop_instances(InstanceIds=['i-1234567890abcdef0'])
Azure Automation Account:
Stop-AzVM -Name "DevVM" -ResourceGroupName "Dev-RG" -Force
4. Use Spot Instances for Non-Critical Workloads
AWS Spot Fleet:
aws ec2 request-spot-instances --spot-price "0.05" --instance-count 1 --type "one-time" --launch-specification file://spec.json
GCP Preemptible VMs:
gcloud compute instances create preemptible-vm --preemptible
5. Clean Up Orphaned Snapshots & Backups
AWS:
aws ec2 describe-snapshots --owner-ids self --query 'Snapshots[?StartTime<=<code>2025-01-01</code>].SnapshotId' --output text | xargs -I {} aws ec2 delete-snapshot --snapshot-id {}
Azure:
Get-AzSnapshot | Where-Object { $_.TimeCreated -lt (Get-Date).AddDays(-30) } | Remove-AzSnapshot -Force
What Undercode Say:
Cloud cost optimization is an ongoing process. Regular audits, automation, and right-sizing can save thousands monthly. Implement FinOps practices for long-term savings.
Expected Output:
Reduced cloud bills by 30-50% through automated scheduling, right-sizing, and eliminating waste.
Prediction:
As cloud adoption grows, AI-driven cost optimization tools will dominate FinOps strategies by 2026.
Relevant URL:
IT/Security Reporter URL:
Reported By: Benjamenpyle One – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅