We are thrilled to announce that Cloudera Data Engineering now supports AWS Graviton3 instances. This marks a significant milestone in our commitment to delivering high-performance, cost-effective solutions for your data engineering needs.
AWS Graviton is a family of 64-bit ARM-based CPUs designed to support improved compute performance, memory bandwidth, and machine learning capabilities with less energy consumption –all essential criteria for modern data engineering workloads. This blog walks you through how you can take advantage of these powerful processors to deliver stronger results.
15%+ Cost Savings and Performance Enhancements
One of the key benefits of switching to AWS Graviton3 instances is reducing costs, while achieving comparable performance. Cloudera customers may reduce their costs by 15-20% compared to alternative instance types.
Get Started with Graviton in Cloudera Data Engineering
Create AWS Graviton instances for Cloudera Data Engineering in six steps:
- Log in to the Cloudera Data Engineering Console: Ensure you have the necessary permissions to create and manage services.
- Navigate to the Administration Page: Go to the Administration page, where you can create and manage your Cloudera Data Engineering services.
- Create a New Cloudera Data Engineering Service: Click on "Create New Service."
- Choose Graviton Instance Types: In the "Workload Type" drop-down menu, select one of the supported Graviton instance types. Here is the list of supported Graviton instance types:
- Configure Service Details: Set up the details of your new Cloudera Data Engineering service according to your requirements, including network settings, storage configurations, and any additional options.
- Review and Creation: Review your service configuration and click on "Create" to start your new Cloudera Data Engineering service using Graviton3 instances.
You can check here for the compatibility matrix of Graviton in Cloudera Data Engineering.
Learn more about how Cloudera Data Engineering can help you orchestrate and secure data pipelines. Explore our community page for the latest discussions and documentation for detailed best practices.
The Cloudera Data Engineering team looks forward to your feedback and is excited to see how you take advantage of this new capability. If you need assistance, our support team is here to help, as always.
