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Amazon EMR now provides up to 35% lower cost and up to 15% improved performance for Spark workloads on Graviton2-based instances

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Amazon EMR now supports Amazon EC2 M6g instances to deliver the best price performance for cloud workloads. Amazon EC2 M6g instances are powered by AWS Graviton2 processors that are custom designed by AWS utilizing 64-bit Arm Neoverse cores. Amazon EMR provides up to 35% lower cost and up to 15% improved performance for Spark workloads on Graviton2-based instances versus previous generation instances. In addition, the combination of EMR runtime for Apache Spark and EC2 M6g instances offer up to 76% lower total cost and 3.6 times improved performance compared to running open source Apache Spark on previous generation instances.

AWS Systems Manager Patch Manager now provides a catalog of all patches for Amazon Linux

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AWS Systems Manager Patch Manager now makes it easier for you to create patch compliance reports by providing a catalog of all patches released for Amazon Linux and Amazon Linux 2. You can now view a list of all released patches for Amazon Linux and Amazon Linux 2 even if those patches are not applicable to your fleet based on your patch rules. Further, you can view additional details such as severity, release date, and vulnerability identifier (CVE-ID) for patches in the catalog.

Amazon QuickSight adds support for on-sheet filter controls

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Amazon QuickSight now supports filter controls that you can place beside visuals on dashboards, allowing readers to quickly slice and dice data in the context of its visual representation. You can create these filter controls from existing or new filters with a single click, and configure them to support different operations, such as filtering specific dates, relative dates, or date ranges, setting upper and lower thresholds for numeric values, adding drop-downs with single-select or multi-select options, and more. On-sheet filter controls can be used in dashboards within Amazon QuickSight, or in dashboards embedded within apps . See blog here for more details.

Amazon Rekognition now detects Personal Protective Equipment (PPE) such as face covers, head covers, and hand covers on persons in images

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Amazon Rekognition is a deep-learning-based image and video analysis service that can identify objects, text, scenes, as well as support content moderation by detecting inappropriate content. Starting today, Amazon Rekognition can analyze images to detect if persons in the images are wearing Personal Protective Equipment (PPE) such as face covers (face masks), hand covers (gloves), and head covers (helmets or hard hats).

AWS Purchase Order Management is now generally available

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AWS Purchase Order Management gives you the ability to define and manage your purchase orders (“POs”) for AWS services in a way that meets your business needs. You can manage your PO information from your AWS Billing Console, configure multiple POs, and define the rules of how POs map to your AWS invoices. You can also track your PO status and balance, and set up email notifications to proactively validate your POs. 

New AWS Solutions Consulting Offer – Jira Service Desk Data Center Implementation

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Jira Service Desk Data Center Implementation is an AWS Solutions Consulting Offer delivered via a consulting engagement from Cprime, an AWS DevOps Competency Partner. Jira Service Desk Data Center Implementation provides Jira Service Desk Data Center IT service management software with high availability and performance at scale. Customers that request this consulting offer will participate in an engagement that delivers a customized configuration and deployment of the Jira products on AWS Quick Start as well as cost optimization and training.

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