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Amazon EC2 Hibernation adds support for Ubuntu 20.04 LTS

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Amazon EC2 now supports Hibernation for Ubuntu 20.04 LTS operating system. Hibernation allows you to pause your EC2 Instances and resume them at a later time, rather than fully terminating and restarting them. Resuming your instance lets your applications continue from where they left off so that you don’t have to restart your OS and application from scratch. Hibernation is useful for cases where rebuilding application state is time-consuming (e.g., developer desktops) or an application’s start-up steps can be prepared in advance of a scale-out.

AWS License Manager now supports Delegated Administrator for Managed entitlements

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AWS License Manager announces Delegated Administrator support for Managed entitlements. This feature allows license administrators to manage and distribute licenses across their AWS accounts from a delegated account outside of the management account. Using delegated administrator, you can grant licenses from AWS Marketplace and Independent Software Vendors across your organization and benefit from the administrative capabilities previously afforded to the management account only.

AWS Lambda now supports triggering Lambda functions from an Amazon SQS queue in a different account

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AWS Lambda  now allows customers to trigger functions from Amazon Simple Queue Service (Amazon SQS ) queues that are in a different AWS account. Previously, customers could trigger Lambda functions from SQS queues in the same account only. Starting today, customers can create Lambda functions in multiple AWS accounts without needing to replicate the event source in each account.

Now use Apache Spark, Hive, and Presto on Amazon EMR clusters directly from Amazon Sagemaker Studio for large-scale data processing and machine learning

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You can now use open source frameworks such as Apache Spark, Apache Hive, and Presto running on Amazon EMR clusters directly from Amazon SageMaker Studio notebooks to run petabyte-scale data analytics and machine learning. Amazon EMR automatically installs and configures open source frameworks and provides a performance-optimized runtime that is compatible with and faster than standard open source. For e.g. Spark 3.0 on Amazon EMR is 1.7x faster than it’s open source equivalent . Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare data, as well as build, train, and deploy models. Analyzing, transforming and preparing large amounts of data is a foundational step of any data science and ML workflow. This release makes it simple to use popular frameworks such as Apache Spark, Hive, and Presto running on EMR clusters directly from Sagemaker Studio to help simplify data science and ML workflows.

Amazon RDS for PostgreSQL Supports New Minor Versions 13.4, 12.8, 11.13, 10.18, and 9.6.23; Amazon RDS on Outposts Supports New PostgreSQL Minor Versions 13.4 and 12.8

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Following the announcement of updates to the PostgreSQL database , we have added support in Amazon Relational Database Service (Amazon RDS) for PostgreSQL minor versions 13.4, 12.8, 11.13, 10.18, and 9.6.23. We have also added support in Amazon RDS on Outposts for PostgreSQL minor versions 13.4 and 12.8. This release closes security vulnerabilities in PostgreSQL and contains bug fixes and improvements done by the PostgreSQL community.

The Deal Which Made ASML One Of The Most Important Companies In The World

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20 years ago an M&A deal went through which led to ASML becoming the sole vendor of the chip industry’s most advanced lithography tool. ‘Last week’s approval by US president George W. Bush for the merger of Dutch lithography company ASML with SVG of California “combines the best of Europe with the best of the …

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