The Frugal Architect's laws provide a simple guide to creating cost-efficient, sustainable, and modern architectures. According to Law VI, the pursuit of cost efficiency is a continuous process. In our quest for operational efficiency, we have identified seven distinct layers of opportunities for optimization within our batch processing jobs. These layers range from precise code-level enhancements to more comprehensive platform improvements. This multi-layered approach has become our strategic blueprint in the ongoing pursuit of better performance and higher efficiency.
In this blog post, we discuss how we boosted operational efficiency using Amazon EMR Serverless on arm64 (Graviton2). Our findings reveal significant benefits, including over 60% cost reduction, 50% faster Spark workloads, a remarkable five-times improvement in development and testing speed, and a significant reduction in our carbon footprint.
However, it's important to note that these results aren't universally applicable. The optimal solution for your organization may vary depending on your current situation, internal and external constraints, and your long-term objectives. The improvements you can anticipate are dependent on factors including, but not limited to, the specific nature of your workflows, cluster configurations, resource utilization levels, and variations in computational capacity. Hence, we strongly recommend a data-driven approach.
Check out the blog post on the AWS Big Data Blog for more details.
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