AWS Data Transfer Cost Optimization

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AWS Data Transfer Cost Optimization

What is AWS:

AWS is a leading Public Cloud Platform and the world’s most comprehensive and widely used public cloud platform. It has a customer base if millions and organizations of every type and size use AWS for some or all of their requirements. AWS provides on-demand services of technology via the internet and its wide variety of services allows users to implement or create almost every technology stack on the cloud. AWS has a variety of pricing models such as pay as you go, on-demand, and many more to enable users to deploy almost any kind of application on the cloud. Pay as you go pricing model allows users to avoid any kind of upfront cost to start their business and focus more on their core business expense.

AWS Data Transfer Charges:

Public cloud platforms can be tricky sometimes and managing AWS data transfer cost is one of the most important concepts to consider while designing an enterprise-grade solution on AWS. AWS provides free data transfer-in to their customers and data transfer out of AWS regions is paid. However, there is much more to it you also pay for any kind of Inter Region and Inter Availability Zone Data Transfer. There are also data processed charges by Load Balancers and data transfer out via AWS CloudFront. If you have placed your instances in private subnet then data transfer via NAT Gateway contributes to data transfer cost. While uploading your data to AWS S3 one must consider AWS S3 requests cost and structure their data accordingly. Requests are not part of data transfer costing but most of the organizations tend to miss this point while calculating their monthly recurring cost. AWS Solution Architects must check the average object size and number of requests made to AWS S3 whilst uploading data to S3.

Best Practices for Cost Optimization on AWS Data Transfer:

AWS Data Transfer cost is directly related to the customer’s need for its infrastructure. If a customer is looking for a highly available infrastructure then Solution Architects cannot avoid Inter AZ data transfer however availability can also be achieved by keeping all the instances in a single AZ if there is huge data transfer between the instances. We know that it is not the best practice but one can consider it for saving the cost of data transfer as it is highly unlikely for a complete availability zone to go down. Companies should also look after inter-region data transfer in case of multi-region deployment and plan their deployment accordingly. Data transfer cost can also be optimized by enhancing their application code for eg: if an application is making too many requests to the database then developers can optimize their code and save significant cost on data transfer.

Conclusion:

Data transfer is a quite subjective topic and everyone's opinion may differ but, in the end, we are talking about how to save cost while planning your deployment on AWS. Data transfer costs can be huge if not planned in the right way. AWS has listed its best practices for every pillar and companies should follow it however there have to be some modifications while creating a cost-optimized solution on AWS.

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