CTT Big4 News AWS Recently #IBM010

CTT Big4 News AWS Recently #IBM010

Hello Friends, welcome to Big4 Recently

AWS, IBM, Google & Azure – the Big4 Cloud Service providers. We discuss latest news and recent improvements on these cloud platforms. In this article, we will explore latest AWS Recently.

Major Updates Come to Script Canvas with Lumberyard Beta 1.14 – Available Now

AWS have announced the availability of Lumberyard Beta 1.14. With over 200 improvements, fixes, and new features, this release includes a major update to the game engine’s visual scripting environment, new component entities, and more. Some highlights include:

  • Variable Manager (Script Canvas): Use the Variable Manager pane to create and manage variables for supported variable types, create or set variable nodes, and add variables to your Script Canvas graph to declare and initialize them.
  • Bookmarks (Script Canvas): Add a shortcut to a specific location on your Script Canvas graph. You can then use the Bookmarks pane or keyboard shortcuts to move quickly to that location.
  • New Components (Component Entity System): Including the Wind Volume component for creating volumes that are affected by wind; the Sky Cloud component for creating realistic and detailed cloud effects; and the Force Volume component for applying physical force to objects within a volume.
  • Support for Visual Studio 2017.

Introducing Real-Time IoT Device Monitoring with Kinesis Data Analytics

Real-Time IoT Device Monitoring with Kinesis Data Analytics is a solution that can help you more easily monitor your IoT device connectivity and activity in real-time. This solution automatically provisions the services necessary to record and visualize device connectivity and activity metrics for your IoT devices. Real-Time IoT Device Monitoring with Kinesis Data Analytics is designed to provide a framework for visualizing metrics in real-time, allowing you to focus on adding new metrics rather than underlying infrastructure operations.  

For customers without a method to record and visualize IoT device metrics, this solution can provide valuable insight that can help you make better-informed decisions that increase the reliability, availability, and performance of your IoT devices.

Stream Real-Time Data in Apache Parquet or ORC Format Using Amazon Kinesis Data Firehose

AWS team have added support for Apache Parquet and Apache ORC formats in Amazon Kinesis Data Firehose, so you can stream real-time data into Amazon S3 for cost-effective storage and analytics.

Apache Parquet and Apache ORC are columnar data formats that allow you to store and query data more efficiently and cost-effectively. You can now configure your Kinesis Data Firehose delivery stream to automatically convert data into Parquet or ORC format before delivering to your S3 bucket. There is no coding required, and you can query S3 data much faster using Amazon Athena and Amazon Redshift Spectrum, allowing you to save storage and query costs.

AWS Database Migration Service Supports R4 Instance Types

AWS Database Migration Service (DMS) now supports Memory-Optimized R4 instances for migrations or ongoing replications. R4 instances have more memory per vCPU, and can be used to migrate or replicate workloads that are memory bound, typically with high Transactions per Second (TPS), that need to be migrated in near real time.

With this launch, DMS supports 3 instance types: Burstable T2 type instances, Compute-Optimized C4 instances, and Memory-Optimized R4 instances.

Amazon Connect Now Supports Keypad Input with an Amazon Lex Chatbot

Customers that call in to your Amazon Connect contact center can now provide input using their touch-tone keypad for contact flows using an Amazon Lex chatbot. Previously, customers could interact with Amazon Lex chatbots in Amazon Connect contact centers through voice input. Keypad input provides greater flexibility for your customers to now choose how they want to interact with your contact center, in a format that is most comfortable for their environment. For example, keypad input is often preferred when calling from a location with an abundance of ambient noise, or to ensure privacy when in a public space.

Keypad input will work with your existing Amazon Lex chatbots that you’ve already created for your contact center. Amazon Lex interprets the spoken utterance or dual-tone-multi-frequency signaling (DTMF) digits entered on a keypad, and uses them to understand the caller’s intent.

You can use Amazon Lex chatbots with Amazon Connect in the US-East (Northern Virginia) AWS region. 

Amazon Aurora Backtrack Can Move a Database Back in Time

Amazon Aurora with MySQL compatibility now offers a quick way to recover from user errors, such as dropping the wrong table or deleting the wrong row. Backtrack allows you to move your database to a prior point in time without needing to restore from a backup, and it completes within seconds, even for large databases.

When you enable Aurora Backtrack in the RDS management console, you specify how long to retain data records, and you pay for the space these records use. For example, you could set up Backtrack to allow you to move your database up to 72 hours back. 

Backtrack is also useful for development & test, particularly in situations where your test deletes or otherwise invalidates the data. Simply backtrack to the original database state, and you’re ready for another test run.

Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. See the AWS Region Table for complete regional availability.

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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