Maximize Your Savings: AWS Cost Optimization Techniques

Are you looking to reduce your AWS expenses and need strategies to help you achieve this? This article focuses on cost optimization of RDS/Database/Cache/Search/DMS/ DynamoDB  (AWS Services). The intended audience includes database engineers, administrators, managers, and architects.

In this article, I will introduce various strategies to decrease operational costs significantly. The organizations could redirect generated savings toward other productive projects.

The first step involves identifying where most of your costs originate. You can access cost data points sorted in various ways, such as by functional business units, AWS accounts, cost service, usage types, etc., across your organization. This data plays a crucial role in determining the priority of implementing the identified strategies.

Some strategies revolve around design principles, while others involve leveraging the right resources. The identification process helps decide whether the identified strategies will benefit your organization.

Let's explore strategies that can significantly reduce operational costs without further delay.

Strategies to Reduce Cost 

• Optimize resources and avoid overallocation when consuming AWS Services
• Monitor customer traffic patterns on the periodic interval and adjust resources accordingly. Check for missing or extra indexes on RDS and optimize queries
• Convert resources to Single AZ in the Development Environment across AWS Services unless there is a need for the environment to 100% match with production
• Use the right instance series and class for the AWS Service
• Use cost-effective general purpose series for development environment
• Shutdown Development Services when not in use, such as over weekends
• Optimize resources on Disaster Recovery region on the Production environment like Single AZ for RDS and lower provisioned IOPS. Plan to move to multiAZ and extend IOPS as part of the Disaster Recovery execution
• Use Aurora Serverless for Aurora RDS on the Disaster Recovery region with minimal Aurora Cluster Units configuration 
• Configure suitable retention on Cloudwatch Logs and set up alerts
• Remove manual snapshots and unused resources to keep the environment clean
• Use Tomcat or Hikari, etc., connection pooling instead of RDS Proxy Connection Pooling. 
• Adjust resources as per the peak usage and according to the specific needs of your application. The strategy can also be applied to application pods, using time-based scaling according to customer usage patterns. For example, you could decrease the number of pods during off-peak times, such as nights or weekends, and increase them during peak times, like mornings or weekdays.
• Consolidate databases in Postgres instance if moving from Oracle to Postgres.
• On DynamoDB, move big tables to Standard Infrequent Used Classes, lower provisioned capacity on the Disaster Recovery region, and bump when the Disaster Recovery Region becomes Primary region. Drop unused Global Secondary Indexes in DynamoDB.

Execution Plan to Rollout the Strategies 

Suppose your organization comprises multiple Business Units, and a diverse team of engineers across various AWS accounts manages your infrastructure. In that case, it's advisable to implement these cost-saving and optimization strategies as a structured program. This approach ensures that these practices are uniformly applied across all business units and AWS accounts, fostering consistency and efficiency.

It's crucial to establish a regular review process to double-check the effectiveness of the defined strategies. For instance, conducting a quarterly revalidation can help assess the ongoing relevance and impact of these strategies, ensuring they continue to provide value and meet the evolving needs of your organization.

Conclusion

In conclusion, managing AWS costs effectively is critical to infrastructure management. This article provides a comprehensive guide on various strategies that help optimize RDS/Database/Cache/Search/DMS/DynamoDB costs. These strategies, which range from resource optimization to effective utilization of services, can lead to significant cost savings.

Identifying spent dollar amounts cannot be overstated. This information is crucial in prioritizing the implementation of the identified strategies and ensuring they are advantageous for your organization. Regular quarterly revalidation and tracking cost trends provide valuable insights into the financial implications of these practices, allowing organizations to quantify savings, identify areas for further optimization, and demonstrate the return on investment.

Ultimately, this data-driven approach reinforces the importance of these practices and encourages their continued adoption as a standard operating procedure within organizations. It leads to improved efficiency, significant cost savings, and a more streamlined approach to managing AWS services.