Amazon FSx for Lustre, a high performance file system optimized for workloads such as machine learning, high performance computing, video processing, financial modeling, electronic design automation, and analytics, has added functionality that makes it easier to synchronize file data and file permissions between Amazon FSx and Amazon S3. Additionally, Amazon FSx has quadrupled the speed of launching FSx file systems that are linked to S3 buckets.
AWS IoT Device Tester v1.6.0 for Amazon FreeRTOS is now available
AWS IoT Device Tester for Amazon FreeRTOS now supports Amazon FreeRTOS 201912.00 . The latest version of device tester includes optional tests for OTA (Over-the-air) over https to qualify your Amazon FreeRTOS development boards.
AWS Systems Manager Automation now supports adding tags to your executions
Automation, a feature of Systems Manager, now supports adding tags to your Automation executions, making it easy to sort and filter executions in different ways, such as by resource, purpose, owner, or environment. For example, you can run an Automation that is a remediation for your RDS instance by adding multiple tags (‘Remediation’ and ‘RDS’). This enables you to query for workflow-based tags and resource-based tags. Similarly, you can have different tags for environments, such as prod or test. For example, for patching your prod fleet, you can add ‘Patch’ and ‘Prod’ tags. Similarly, for patching your test fleet, you can add ‘Patch’ and ‘Test’ tags.
AWS Systems Manager Automation now supports targeting all instances in the account and Region
Automation, a feature of Systems Manager, now supports running an Automation execution that targets all instances in the account and Region. This support makes it easier to maintain consistency in your fleet when you make configuration changes or run a specific set of commands.
Amazon Lex announces support for Conversation Logs
Amazon Lex now supports the ability to store chat history. Starting today, you can configure logging of audio input to an S3 bucket and text input to CloudWatch Logs.
AWS Systems Manager Automation now supports running a single workflow in remote accounts and Regions
You can use Systems Manager Automation to run a single task across multiple accounts and multiple Regions. With this launch, you can target a single remote resource instead of starting workflows for multiple remote resources using tags or resource groups. For example, you can centrally trigger Amazon Inspector runs across all your accounts in all Regions to discover potential security issues on your AWS resources.
Amazon MQ is Now Available in the Europe (Stockholm) and South America (São Paulo) regions
Amazon MQ is now available in a total of 16 regions, with the addition of the Europe (Stockholm) and South America (São Paulo) regions.
Amazon Personalize now supports contextual recommendations
Amazon Personalize is a machine learning service which enables you to personalize your website, app, ads, emails, and more, with custom machine learning models which can be created in Amazon Personalize, with no prior machine learning experience. Today, we’re pleased to announce support for contextual recommendations, through which you can improve relevance of recommendations by generating them within a context, for instance device type, location, time of day, etc. Contextual information is also useful in personalization for new/unidentified users even when the past interactions of these users are not known.
AWS IoT Greengrass Now Supports Node.js 12 and Offers a New Tool for Device Setup
AWS IoT Greengrass expands its language support to include Node.js 12, enabling you to deploy Lambda functions written using this language version to IoT Greengrass cores.
Amazon Neptune supports Cross-region Snapshot Copying
Amazon Neptune now supports copying snapshots (created either automatically or manually) across regions. AWS customers are interested in building applications that run in more than one public AWS Region . Now customers can use cross-region snapshot copies with Neptune to simplify and streamline the data manipulation operations associated with building and running global graph applications using both Apache TinkerPop Gremlin and RDF/SPARQL.