Cloud infrastructure is essential for modern applications, but cost efficiency remains a common hurdle. Startups often deploy oversized compute servers, leading to substantial wasted expenses. At TwinsCloud, we help organizations streamline their resource utilization to ensure high availability at minimum expense.
1. Right-Sizing Compute Instances
Analyze your active workloads over a 14-day window. If average CPU utilization is below 15%, you are running oversized instances. Transitioning from standard t3.large instances to t3.medium or modern t4g.medium (powered by AWS Graviton ARM processors) can immediately reduce server compute costs by over 30%.
# Example command to check EC2 instance metrics via AWS CLI
aws cloudwatch get-metric-statistics \
--namespace AWS/EC2 \
--metric-name CPUUtilization \
--dimensions Name=InstanceId,Value=i-1234567890abcdef0 \
--statistics Average \
--start-time 2026-06-10T00:00:00Z \
--end-time 2026-06-24T00:00:00Z \
--period 3600
2. Leveraging Spot & Savings Plans
For stateless microservices or background queues, always prefer Spot Instances. Spot instances allow you to bid on spare EC2 capacity with discounts up to 90% off on-demand rates. For baseline workloads, commit to an AWS Compute Savings Plan for 1 or 3 years to receive discounts up to 72%.
3. Intelligent Data Storage Tiering
Move logs and older assets from standard Amazon S3 storage buckets to S3 Intelligent-Tiering. This automatically shifts your files to cheaper archives (like Glacier Instant Retrieval) when they are not accessed for 30 consecutive days, keeping access latency immediate while decreasing storage bills.