At AWS re:Invent 2021, we introduced three new serverless options for our data analytics services – Amazon EMR Serverless, Amazon Redshift Serverless, and Amazon MSK Serverless – that make it easier to analyze data at any scale without having to configure, scale, or manage the underlying infrastructure. Today we announce the general availability of Amazon EMR Serverless, a serverless deployment option for customers to run big data analytics applications using open-source frameworks like Apache Spark and Hive without configuring, managing, and scaling clusters or servers. With EMR Serverless, you can run analytics workloads at any scale with automatic scaling that resizes resources in seconds to meet changing data volumes and processing requirements. EMR Serverless automatically scales resources up and down…
AWS Week In Review – May 30, 2022
Today, the US observes Memorial Day. South Korea also has a national Memorial Day, celebrated next week on June 6. In both countries, the day is set aside to remember those who sacrificed in service to their country. This time provides an opportunity to recognize and show our appreciation for the armed services and the important role they play in protecting and preserving national security. AWS also has supported our veterans, active-duty military personnel, and military spouses with our training and hiring programs in the US. We’ve developed a number of programs focused on engaging the military community, helping them develop valuable AWS technical skills, and aiding in transitioning them to begin their journey to the cloud. To learn more, see AWS’s military commitment.…
New – Amazon EC2 M6id and C6id Instances with Up to 7.6 TB Local NVMe Storage
Last year, we launched the Amazon EC2 M6i instances and C6i instances, our sixth-generation offerings that include 3rd generation Intel Xeon Scalable processors. Today we are expanding Amazon EC2 M6id and C6id instances, backed by NVMe-based SSD block-level instance storage physically connected to the host server. These instances are powered by the Intel Xeon Scalable processors (Ice Lake) with an all-core turbo frequency of 3.5 GHz, equipped with up to 7.6 TB of local NVMe-based SSD block-level storage, and deliver up to 15 percent better price performance compared to previous generation instances. M6id instances are ideal for workloads that require a balance of compute and memory resources along with high-speed, low-latency local block storage, including data logging and media processing.…
New for AWS DataSync – Move Data Between AWS and Google Cloud Storage or AWS and Microsoft Azure Files
Moving data to and from AWS Storage services can be automated and accelerated with AWS DataSync. For example, you can use DataSync to migrate data to AWS, replicate data for business continuity, and move data for analysis and processing in the cloud. You can use DataSync to transfer data to and from AWS Storage services, including Amazon Simple Storage Service (Amazon S3), Amazon Elastic File System (Amazon EFS), and Amazon FSx. DataSync also integrates with Amazon CloudWatch and AWS CloudTrail for logging, monitoring, and alerting. Today, we added to DataSync the capability to migrate data between AWS Storage services and either Google Cloud Storage or Microsoft Azure Files. In this way, you can simplify your data processing or storage consolidation…