Comparison of GoDaddy’s Spark workloads with AWS Graviton2 on Amazon EMR Serverless reveals significant 24% improvement in price-performance | Amazon Web Services
In the world of cloud computing, performance and cost-efficiency are two crucial factors that organizations consider when choosing a cloud provider. Amazon Web Services (AWS) has long been a leader in the cloud computing industry, offering a wide range of services to meet the needs of businesses of all sizes. One of their latest offerings, AWS Graviton2 on Amazon EMR Serverless, has recently been put to the test against GoDaddy’s Spark workloads, and the results are impressive.
GoDaddy, a well-known web hosting and domain registration company, relies heavily on big data processing to analyze customer behavior and improve their services. They have been using Apache Spark, an open-source distributed computing system, to handle their data processing needs. However, they were looking for ways to optimize their workloads and reduce costs.
Enter AWS Graviton2 on Amazon EMR Serverless. Graviton2 is a custom-designed processor by AWS that is based on the Arm architecture. It offers high performance at a lower cost compared to traditional x86 processors. Amazon EMR Serverless, on the other hand, is a fully managed big data processing service that allows users to run Apache Spark and other big data frameworks without having to provision or manage any infrastructure.
To evaluate the performance and cost-effectiveness of AWS Graviton2 on Amazon EMR Serverless, GoDaddy conducted a series of tests comparing it with their existing infrastructure. The results were astonishing. The tests revealed a significant 24% improvement in price-performance when using Graviton2 on Amazon EMR Serverless compared to their previous setup.
The improved price-performance was primarily attributed to the lower cost of running workloads on Graviton2 processors. The Arm architecture used in Graviton2 allows for better resource utilization, resulting in lower costs per workload. Additionally, the serverless nature of Amazon EMR Serverless eliminates the need for provisioning and managing infrastructure, further reducing costs.
GoDaddy also noted that the performance of their Spark workloads on Graviton2 was on par with their previous setup. This means that they were able to achieve the same level of performance while significantly reducing costs. This is a significant win for organizations looking to optimize their big data processing workloads without compromising performance.
The results of this comparison highlight the potential benefits of adopting AWS Graviton2 on Amazon EMR Serverless for organizations that heavily rely on big data processing. The improved price-performance can lead to substantial cost savings, allowing businesses to allocate their resources more efficiently.
It’s worth noting that the performance and cost-effectiveness of AWS Graviton2 on Amazon EMR Serverless may vary depending on the specific workload and requirements of each organization. However, the results from GoDaddy’s tests provide a strong indication of the potential benefits that can be achieved.
In conclusion, the comparison of GoDaddy’s Spark workloads with AWS Graviton2 on Amazon EMR Serverless reveals a significant 24% improvement in price-performance. This showcases the potential of AWS Graviton2 and Amazon EMR Serverless in optimizing big data processing workloads while reducing costs. Organizations looking to enhance their cloud computing capabilities should consider exploring these offerings from Amazon Web Services.
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- Source Link: https://zephyrnet.com/godaddy-benchmarking-results-in-up-to-24-better-price-performance-for-their-spark-workloads-with-aws-graviton2-on-amazon-emr-serverless-amazon-web-services/