1.Implement AWS Organizations and simplify billing.

AWS Organizations allows you to automatically establish accounts, groups of accounts, and manage those groups. Consolidated Billing consolidates charges across all accounts, allowing you to have a full view of cloud costs and control your bill as a whole.

2.Set up separate accounts for production and development.

At the very least, keep production and development workloads separate so that you can identify the costs associated with each. You can also categorize it by product or function, but this is tough to maintain at scale.

3.Delete any older snapshots.

Snapshots effectively back up data from an EBS volume to an S3 storage bucket. Typically, only the most recent snapshots are required to recover data in the event of a failure, however it is advised that snapshots be kept for many weeks. Individual snapshot storage costs are small; however, if old snapshots are not destroyed and continue to accumulate, they can add thousands of dollars in unneeded storage expenditures.

4.Transfer infrequently accessed data to a lower-cost storage tier.

Storing non-critical and infrequently accessible data in lower storage tiers can lead to significant cost reductions. Accessing data in these cold storage tiers incurs a retrieval fee, and retrieving data can take hours, therefore lifecycle policies must prevent transferring transactional data that changes often to cold storage. The expense of transferring this data to Glacier will exceed the benefits from Glacier’s lower-cost storage tiers.

5.Remove zombie resources.

Unused resources that continue to run might significantly increase your monthly AWS bills. We’ve already highlighted outdated snapshots, but other examples include EBS volumes and unused elastic IP addresses.

6.Use Spot Instances for adaptable workloads.

AWS Spot Instances are accessible for non-critical, flexible workloads, saving up to 90% above on-demand price. They’re ideal for batch processing, background operations, and any workload that can handle interruptions.

7.Use auto-scaling to match demand.

Autoscaling maximizes application performance and cost-effectiveness by dynamically expanding or decreasing the number of active instances in response to demand. This means you only pay for the resources you use at any given time.

8.Monitor spending with AWS Budget.

Set customized budget thresholds to monitor AWS spending and usage.AWS Budget alerts you when you’re approaching or exceeding your allocated budget, helping you avoid unexpected spending.

9.Reduce AWS data transfer expenses.

Data transfer costs can be costly, particularly for applications with large data export volumes. Reduce these expenses by limiting data transfers across AWS services and regions, and use Amazon CloudFront, AWS’ content delivery network, to save money and improve application performance.

10.Identify cost-saving opportunities with AWS Trusted Advisor.

AWS Trusted Advisor is a tool that provides real-time guidance to help you provision resources in accordance with AWS best practices. It identifies unused or underutilized resources, recommends cost-saving opportunities, and highlights security vulnerabilities to help you optimize your AWS infrastructure across multiple dimensions.