CTT Big4 News AWS Recently #AWS024

CTT Big4 News AWS Recently #AWS024

Hello Friends, welcome to Big4 Recently

AWS, IBM, Google & Azure – the Big4 Cloud Service providers. In this article, we will explore latest AWS Recently

AWS Trusted Advisor Expands Functionality With New Best Practice Checks

AWS Trusted Advisor is an application that draws upon best practices learned from AWS’ aggregated operational history of serving millions of AWS customers. Trusted Advisor inspects your AWS environment and makes recommendations for saving money, improving system performance, and closing security gaps.

AWS Migration Hub Now Supports Importing On-Premises Server and Application Data to Track Migration Progress

AWS Migration Hub, which provides a single location to discover and track the progress of application migrations across multiple AWS and partner solutions, launched the import feature. This new feature allows you to import information about your on-premises servers into AWS Migration Hub, including server specifications, utilization data, and the applications the servers are part of, giving you the opportunity to track the status of your application migrations as you migrate them to AWS.

With the release of the import feature, you can now upload your on-premises server details from data sources such as a Configuration Management Database (CMDB), IT Asset Management System (ITAM), or an AWS Migration Partner discovery tool. Once successfully imported, you can then track the migrations of those servers and applications in the AWS Migration Hub.

Object Bounding Boxes and More Accurate Object and Scene Detection for Amazon Rekognition

Amazon Rekognition Video is a deep learning-based video analysis service that can identify objects, people, text, scenes, and activities, as well as detect unsafe content. Object and Scene detection – also called label detection – can identify thousands of common objects and scenes in a video, as well as the timestamp for when each label appears. Amazon Rekognition Video has been updated to provide significantly improved accuracy for all existing labels across a variety of use cases. In addition, label detection can now specify the location of objects such as dogs, people, and cars in a video by returning bounding box for each object. A bounding box is a set of coordinates that precisely indicates a specific object location in a video frame. Customers can use the bounding box information to count objects (“3 cars”), and to understand the relationship between objects (“person next to a car”) at a particular timestamp in a video. Lastly, for each label found, Amazon Rekognition Video now returns its parent labels in a hierarchical list. For example, the label ‘Dog’ has the parents ‘Mammal’, ‘Canine’, and ‘Animal’. This metadata allows customers to group labels related by parent-child relationships to improve categorization and facilitates easier mapping to in-house taxonomies. No machine learning experience is required to get started.

Bounding boxes, hierarchical metadata, and improved label detection accuracy are available today in all AWS Regions where Amazon Rekognition Video is offered, except for AWS GovCloud (US). You can get started today via the Amazon Rekognition Console. Refer to the technical documentation for more information. Amazon Rekognititon already supports these features for images.

Amazon Comprehend is now Integrated with AWS CloudTrail

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Starting today, asynchronous Amazon Comprehend API calls are recorded with AWS CloudTrail. With AWS CloudTrail, you can simplify security analysis, resource change tracking, and troubleshooting your Amazon Comprehend requests, like monitoring your Comprehend batch analytics job status.

AWS CloudTrail can log, continuously monitor, and retain account activity related to API calls across your AWS infrastructure. Your Amazon Comprehend API calls are captured so that you can track requests made to Amazon Comprehend, including the origination of the request, such as the source IP address, the date and time the request was made, and the parameters requested.

AWS CloudTrail are available at no additional costs besides from the standard charges for Amazon Comprehend and Amazon S3. Both integrations are available in all AWS Regions that support Amazon Comprehend. For more information, see this Amazon Comprehend technical documentation.

AWS CodePipeline Now Supports Deploying to Amazon S3

AWS CodePipeline is a fully managed continuous delivery (CD) service that lets you automate your software release process for fast and reliable updates. You can now use CodePipeline to deploy files, such as static website content or artifacts from your build process, to Amazon S3.

AWS Secrets Manager Announces Service Level Agreement

We have published a service level agreement (SLA) for AWS Secrets Manager. AWS will use commercially reasonable efforts to make AWS Secrets Manager available with a Monthly Uptime Percentage for each AWS region, during any monthly billing cycle, of at least 99.9% (the “Service Commitment”). In the event AWS Secrets Manager does not meet the Service Commitment, you will be eligible to receive a Service Credit as described in the AWS Secrets Manager Service Level Agreement.

That’s it friends in this week for AWS Recently, however please visit specific Cloud provider news that you are interested in from below links.

Author: Debashree

A Technical writer and passionate about digital life. Always eager to learn and share knowledge.

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