Cloud & DevOps

9 Ways to Reduce Your AWS Costs Without Slowing Down

Many teams treat their rising AWS bill as an unavoidable cost of growth. It usually is not. A significant share of most bills is waste that can be removed without touching performance — often while improving reliability. Here are nine places to look.

1. Right-size compute

Many instances are far larger than the workload needs. Review utilisation and downsize the over-provisioned ones.

2. Kill idle resources

Forgotten dev environments, unattached volumes and unused load balancers quietly cost money every hour. Find and remove them.

3. Schedule non-production

Dev and test environments rarely need to run overnight or at weekends. Schedule them off and reclaim two-thirds of their runtime.

4. Use the right storage tier

Not all data needs premium storage. Move infrequently accessed data to cheaper tiers with lifecycle policies.

5. Commit where usage is stable

For steady baseline workloads, savings plans and reserved capacity cut cost significantly versus on-demand.

6. Watch data transfer

Cross-region and cross-AZ transfer costs add up silently. Architect to keep chatty traffic local.

7. Go serverless where it fits

For spiky or event-driven workloads, serverless scales to zero — you stop paying for idle capacity.

8. Put cost visibility in front of teams

Tag resources and show teams their spend. Costs fall when the people creating them can see them.

9. Make it stick with IaC

Codify infrastructure so efficient patterns are the default and waste does not creep back in over time.

O
ojas.chaugule@gmail.com

The GrowthFlowIQ team writes about AI automation, agents and building a leaner business.

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