Cost Optimization Strategies In AWS: Best Practices, Tools, And Techniques

Launched in 2006, Amazon Web Services (AWS) has grown to become one of the world’s biggest providers of cloud computing services. AWS operates on a pay-as-you-go model for its cloud services. Currently, it has over 1 million active users, representing approximately 41.5% of the worldwide public cloud market. Amazon Web Services offers approximately 175 fully integrated services, enabling users to launch applications in mere seconds. As per reports from Statista, in 2022, Amazon Web Services generated a revenue of 80 billion U.S. dollars. Since its inception, Amazon Web Services has reduced its prices roughly 107 times, aiming to provide cost-effective cloud services to entities of all sizes across diverse industries. AWS cost optimization empowers users to cut down their expenses. The process of optimizing AWS costs involves identifying opportunities for cost reduction, assessing usage, and implementing the recommended actions.

AWS Cost Optimization: Best Practices And Techniques

Optimizing AWS costs may appear daunting. Here are some established best practices and strategies to assist you in cutting down your AWS expenditure.

Utilize or Sell Underutilized Reserved Instances

If you have any reserved instances that are not being fully used, consider deploying them for either new applications or augmenting existing ones. If these instances still remain unused, you could sell them on the Reserved Instance Marketplace. This approach will help in optimizing your AWS costs.

Migrate Infrequently Accessed Data to More Cost-effective Tiers

Currently, AWS offers approximately six tiers of storage, each with its own pricing structure. To cut down on AWS costs, identify data that isn’t frequently accessed and move it to the lower-priced tiers. The available six tiers of storage, listed from lowest to highest price, are: S3 Deep Archive Glacier, S3 Glacier, S3 Infrequent Access (Single Zone), S3 Infrequent Access, S3 Intelligent Tiering, and S3 Standard.

Organize On/Off Times

By arranging on and off times from Monday to Friday for instances during the development, stage, testing, and quality analysis stages, it is possible to save more than half of instances. If the development department operates at uneven hours, users can save much more instances, which in turn reduces costs.

Utilize The Proper Volume Of Amazon EBS

By using Amazon Elastic Block Store’s Throughput Optimized HDD storage when performance requirements are lower, you can reduce costs by 50% compared to the standard GP2 storage option. Therefore, to optimize your AWS expenses, it’s crucial to select the appropriate type of Amazon Elastic Block Store.

Remove Idle Load Balancers and Optimize Bandwidth Usage

It is best to inspect the elastic load balancing arrangement to know if any load balancers are not unused or underutilized. For each load balancer, there will be ongoing expenses. Thus, if the network traffic of any load balancer is relatively less or lacks backend instances, it is a waste of resources. Delete these load balancers to lessen AWS costs.

Upgrade To Latest Generation Upgrades Instances

Amazon Web Services often reveals new generations of instances that are equipped with better functionality, high-end performance, and cost-reduction. As a result, by upgrading your instances to the latest generation, it is possible to save money.

AWS Cost Optimization: Top 7 Tools

AWS offers a wide variety of free tools for cost optimization. Below are some of the most popular AWS cost optimization tools that users can leverage to lessen overall costs.

AWS Cost Explorer

AWS Cost Explorer helps users with the visualization of expense, usage, and ROI data via an easy-to-use interface. People can see the data from the last 12-13 months and predict their future expenses. Using the interface, users can develop personalized views, assisting in further monitoring the AWS expenses and also recognizing room for growth.

AWS Trusted Advisor

The AWS Trusted Advisor tool offers advice on different functionalities, such as reducing expenses, optimizing the AWS infrastructure, improving safety and performance, etc. This tool gives automated optimization suggestions that are associated with the following: 

    • Less usage of EC2 instances
    • EC2 reserved instance optimization 
    • Less usage of EBS volumes
    • Repetitive Route 53 latency resource record sets
    • Idle load balancers and Idle DB instances on Amazon RDS
    • Less usage of Amazon Redshift clusters

AWS Budgets

AWS Budgets is another cost optimization tool that authorizes consumers to fix customized budgets for AWS costs and obtain announcements when their expenses or usage surpass the custom budget. Though it is a free tool, data transfer fees will be charged if users opt to obtain SNS notifications.

AWS Pricing Calculator

Using the AWS Pricing Calculator tool, consumers can evaluate the expenses of utilizing different AWS solutions. After people fill in the input data of their expected use of the services, this tool offers an overall evaluated price. Using this tool, it is possible for consumers to 

    • Calculate expenses for a variety of services such as S3, RDS, Lambda, EC2, etc. 
    • Analogize prices in various areas and time zones
    • Select between reserved and spot, on-demand instances

Amazon CloudWatch

With Amazon CloudWatch, users can arrange alarms depending on the metrics, check log files, and fix automated responses to modifications in AWS resources. For instance, it is possible to put an alarm and announcement when the usage of EBS falls below 30% and explore why it is underutilized.

Amazon S3 Analytics And Amazon S3 Storage Lens

Amazon S3 Storage Lens tool offers visibility into the usage of object storage, activity trends, and creates suggestions in order to enhance cost-savings and use decent cost optimization methods. Users can utilize Amazon S3 analytics for obtaining automatic estimation and visualization of storage patterns. This assists users in deciding when to divert information to another storage class.

AWS Anomaly Detection

With the help of the latest ML technology, the AWS Cost Anomaly Detection tool can recognize uncommon spending tendencies and their reasons. As a result, users can react quickly and reduce their spending for cost optimization.

Bottom Line

In order to control AWS costs and enhance the overall value, cost optimization is vital. AWS users can effectively lessen expenses by following the above-listed practices and using cost optimization tools. As a result, individuals and businesses can save money on AWS without compromising on other crucial features.

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