CTT Big4 News AWS Recently #AWS023

CTT Big4 News AWS Recently #AWS023

Hello Friends, welcome to Big4 Recently

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

Announcing Rule Group Exceptions for Managed Rules for AWS WAF

AWS WAF now supports rule group exceptions, allowing you to override individual rules within a managed rule group. You can now choose which rules within the rule group should be excluded and set in count-only mode, preventing those rules from blocking a request. This will allow you to modify the behavior of a managed rule group so that it can be adapted to your unique environment.

Traditionally, any customization within the managed rule group required you to reach out to your managed rules provider. Starting today, you can exclude individual rules within a managed rule group and change the action for the rule to COUNT. Therefore, requests that match an excluded rule are counted, but not blocked. This helps you try out new managed rule groups for AWS WAF, react faster to abnormal conditions, and gives you more control over your web ACLs.

Adding a managed rule to the exception list is done in three steps. First, analyze incoming traffic using the full logging feature and look for unexpected behavior within the rule group. Second, identify the unwanted rule from the log. Lastly, exclude the rule either through the AWS WAF console or through the API.

AWS Elemental MediaLive Adds Support for Timed ID3 Metadata Insertion for HLS Streams

With AWS Elemental MediaLive, you can now insert Apple timed ID3 metadata tags into HLS live channel outputs. ID3 metadata tags enable data to be embedded into HLS video streams at specified timecodes, which can be used by downstream systems or clients to enhance the playback experience. ID3 metadata tags are inserted using the same scheduling API used for SCTE-35 and static image insertion, and input switching for channels.

AWS Elemental MediaLive is a broadcast-grade live video processing service. It lets you create high-quality video for broadcast and streaming delivery to internet-connected devices.

The service functions independently or as part of AWS Elemental Media Services, a family of services that form the foundation of cloud-based workflows and offer you the capabilities needed to transport, create, package, and deliver video.

Support for Spark 2.4.0, and Hue 4.3.0 on Amazon EMR release 5.20.0

You can now use Apache Spark 2.4.0 and Hue 4.3.0 on Amazon EMR release 5.20.0. Spark 2.4.0 adds several new features and updates, including support for a new scheduling model called barrier execution mode that provides better integration with deep learning workloads, several new built-in SQL functions for ease of handling complex data types like arrays and maps, and native support for reading and writing Avro data formats. Hue 4.3.0 includes improvements to SQL exploration, improvements to job scheduling and monitoring, better dashboard layouts, and several bug fixes.

Additionally, with this release, you can use the upgraded versions of Apache Hive 2.3.4, Apache Flink 1.6.2, Apache HBase 1.4.8, Apache MXNet 1.3.1, Apache Tez 0.9.1, TensorFlow 1.12.0, and Presto 0.214.

You can create an Amazon EMR cluster with the release 5.20.0 by choosing the release label “emr-5.20.0” from the AWS Management Console, AWS CLI, or SDK. You can choose Spark, Hue, Hive, Flink, HBase, MXNet, Tez, TensorFlow, and Presto to install these applications when you launch your EMR cluster.

Amazon EMR now supports C5n, R5a, and M5a instances

You can now launch Amazon EMR clusters with the next generation of compute optimized C5n instances, and the new AMD-based general purpose M5a instances and memory optimized R5a instances from the Amazon EC2 family. These instances are available for EMR clusters with release 5.20.0 and later. Compute Optimized C5n instances offer network bandwidth of up to 100Gbps and are ideal for communication-intensive distributed analytics and compute-heavy big-data applications that require high-network throughput and high-performance computing. The new AMD powered M5a and R5a instances are variants of Amazon EC2’s general purpose (M5) and memory optimized(R5) instance families that cost 10% lower than comparable instances. M5a instances offer a balance of compute, memory and networking and cater to a broad range of workloads. R5a instances have high memory to vCPU ratio and are ideal for memory-intensive analytics workloads. These instances are available in various sizes, to learn more about these instances please visit the Amazon EC2 instance page. For Amazon EMR pricing for these instances, visit the Amazon EMR pricing page.

New SAM PUBLISH Command Simplifies Publishing Applications to the AWS Serverless Application Repository

You can now use the sam publish command to easily create an application or publish a new application version to the AWS Serverless Application Repository using the AWS Serverless Application Model (AWS SAM) Command Line Interface (CLI).

The AWS Serverless Application Repository is a managed repository for serverless applications that lets you and your teams deploy and share serverless architectures quickly. SAM CLI lets you locally build, test, debug, and publish serverless applications defined by SAM templates. Using the sam publish command, you can insert or update (also known as upsert) an application to the Serverless Application Repository using a single command.

Use the new AWS::ServerlessRepo::Application metadata key to define necessary application details such as application name, description, semantic version, and license information in your SAM template, and use the sam publish command to easily make applications or application updates available in the AWS Serverless Application Repository.

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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