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Amazon EMR Serverless introduces Shuffle-optimized disks delivering improved performance for I/O intensive workloads

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Amazon EMR Serverless is a serverless option in Amazon EMR that makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. An EMR Serverless application uses workers to execute workloads, allowing users to configure ephemeral storage per worker based on the workload’s needs. Today, we are excited to introduce Shuffle-optimized disks on Amazon EMR Serverless, offering increased storage capacity (up to 2TB) and higher IOPS delivering better performance for I/O-intensive Spark and Hive workloads. Shuffle is a fundamental step in an Apache Spark or Apache Hive job, involving I/O intensive operations that redistributes or reorganizes data for parallel computations during operations like joins, aggregations, or transformations. Complex workloads with large datasets to shuffle require sufficient disk capacity and I/O performance for optimized shuffle processing. Shuffle-optimized disks offer up to 2TB of storage capacity and higher baseline IOPS, enabling you to efficiently run shuffle-heavy and I/O-intensive Spark and Hive workloads. Shuffle-optimized disks are generally available on EMR release versions 7.1.0 in all AWS Regions where EMR Serverless is available, excluding AWS GovCloud (US) and China regions. For more information on Shuffle-optimized disks, visit the EMR Serverless User Guide. For pricing info on Shuffle-optimized disks, visit the EMR Serverless pricing page.

Amazon EFS increases maximum per-client throughput to 1.5 GiB/s

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Amazon EFS file systems now support up to 1.5 GiB/s of throughput per client, a 3x increase over the previous limit of 500 MiB/s. With this launch, you now have a simpler way to run throughput-intensive file workloads on AWS. Amazon EFS provides serverless, fully elastic file storage that simplifies setting up and running file workloads in the AWS cloud. Starting today, Amazon EFS file systems can now deliver up to 1.5 GiB/s of throughput to a single Amazon EC2 instance or Amazon EKS pod. This performance boost especially benefits throughput-intensive workloads – such as financial analytics, genomics, and video transcoding – that drive high levels of throughput from one or many individual clients. With this launch, you can process data up to 3x faster on Amazon EFS, meaning you can deliver insights more quickly and with lower compute costs. This increased per-client throughput limit is available for all file systems using the EFS Elastic Throughput mode and mounted using the latest version of the Amazon EFS client (amazon-efs-utils) or the Amazon EFS CSI Driver (aws-efs-csi-driver). This performance increase is supported in all commercial AWS Regions at no additional cost. To learn more, see the EFS Documentation.

Amazon CloudWatch launches resource filtering for cross-account observability

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Amazon CloudWatch is excited to announce a resource filtering capability for cross-account observability, providing customers with the flexibility to share a subset of their logs or metrics across multiple AWS accounts using configurable filters. Cross-account observability in Amazon CloudWatch allows you to seamlessly search, visualize, and analyze all your metrics and logs, without any account boundaries. With today’s launch, you can include or exclude logs and metrics shared across accounts, allowing you to make analysis specific to certain logs and metrics to identify trends and insights. This will help customers to efficiently monitor and troubleshoot issues affecting the health of their applications by only sharing required logs and metrics to a cross-account.  Logs and metrics resource filtering for cross-account in Amazon CloudWatch is available in all commercial AWS Regions at no extra cost. With a few clicks in the AWS Management Console, you can start using CloudWatch resource filtering to share a subset of logs and metrics to your monitoring account. Alternatively, you can use the AWS Command Line Interface (AWS CLI), AWS SDKs, and AWS CloudFormation. To learn more about cross-account observability, please refer to our documentation. You can learn more about CloudWatch cross-account pricing here.

New feature for Amazon Connect Contact Lens agent screen recording

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You can now enable agent screen recording when your VDI environment is configured to allow multiple agents to connect concurrently to the same Windows instance (multi-session VDI). This makes it even easier and more cost effective for you to help agents improve their performance when using Amazon Connect in a multi-session VDI environment. You can enable agent screen recording for multi-session VDI by deploying the latest version of the screen recording client application. Amazon Connect automatically creates separate agent screen recordings for each agent that is logged into the same desktop, which you can view directly in the Amazon Connect web UI, alongside call recordings, agent evaluations, transcripts, and call summaries. Agent screen recording is available in all the AWS Regions where Amazon Connect Contact Lens is already available. To learn more about agent screen recording, please visit the documentation and webpage. For more information about agent screen recording pricing, visit the Amazon Connect pricing page.

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