7 Ways to Reduce Cloud Costs

Cloud billing is notoriously opaque. In the rush to deliver features, engineering teams frequently over-provision resources, leaving substantial waste. True optimization requires shifting from reactive accounting to proactive FinOps engineering. Here are seven practical strategies we use to slash infrastructure spend without compromising system availability.

1. Rightsize Compute and Databases

Analyze CPU, memory, and IOPS utilization logs over a 14-day window. Downsize underutilized VMs and DB instances. If a server consistently peaks below 30% CPU utilization, migrate it to a smaller instance type or transition to burstable instances (e.g., AWS t3 instances).

2. Automate Non-Production Idle Schedules

Staging, testing, and development environments are typically idle during nights and weekends. Write automated scripts or use open-source tools to turn off non-prod compute instances outside of office hours (e.g., 7 PM to 7 AM), instantly saving up to 50% on environment costs.

3. Orchestrate Spot and Preemptible Instances

Utilize Spot instances for fault-tolerant and stateless workloads, such as CI/CD runners, batch processing queues, and background workers. Spot instances can reduce compute bills by up to 90% compared to on-demand pricing, provided you configure graceful node termination handling.

# AWS Auto Scaling Group configuration excerpt for mixed instances
InstanceDistribution:
  OnDemandPercentageAboveBaseCapacity: 20
  SpotAllocationStrategy: "capacity-optimized"
  SpotInstancePools: 0

4. Automate Data Lifecycle Policies

Storage expenses accumulate silently. Set up lifecycle rules on Object Storage (S3, Cloud Storage) to automatically transition logs and older assets to cheaper storage classes (like Glacier) after 30 days, and delete obsolete multipart uploads or debug outputs after 7 days.

5. Optimize Databases and Caching

Alleviate load on expensive databases by caching read-heavy, slow queries in-memory using Redis or Memcached. Indexing frequently queried tables and cleaning up unused schemas reduces CPU requirements, allowing you to downscale instance tiers.

6. Leverage Commitment Discounts

Analyze stable baseline usage and purchase Savings Plans or Reserved Instances (RIs) for a 1-year or 3-year term. Aligning commitment plans with your baseline workloads secures up to 72% cost reductions on compute and database nodes.

7. Eliminate Orphaned Resources

Implement automated cleaners to delete unattached EBS volumes, unused elastic IPs, old backup snapshots, orphaned load balancers, and dangling NAT gateways. These resources incur constant hourly charges even when idle.