CTT Big4 News AWS Recently #AWS013

CTT Big4 News AWS Recently #AWS013

Hello Friends, welcome to Big4 Recently

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

Amazon DynamoDB Accelerator (DAX) r4 Instance Types Available in the Asia Pacific (Tokyo) Region

Now, you can use Amazon DynamoDB Accelerator (DAX) r4 instance types in the Asia Pacific (Tokyo) Region. r4 instance types are the latest generation of DAX nodes and are designed to support production applications and workloads.

DAX provides you a fully-managed, highly available, in-memory cache for DynamoDB that is capable of accelerating reads from Amazon DynamoDB tables by up to 10x, even at millions of requests per second. You can use DAX without making changes to your existing application logic and using your current DynamoDB API calls. DAX manages cache invalidation and data population on your behalf.

DAX is available in the US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), South America (São Paulo), EU (Ireland), Asia Pacific (Singapore), Asia Pacific (Tokyo), Asia Pacific (Sydney), and Asia Pacific (Mumbai) Regions.

New AWS Greengrass Version Deploys Executable Code Written in C, C++, and Other Languages That Import C Libraries, and More

AWS Greengrass now allows you to deploy executables written in C, C++ and any other language that supports importing of C libraries. Executable code has the benefits of greater legacy support as customers can more easily re-use code that is already written in C or C++, minimal resource footprint as no language interpreter is required, and an absolute minimum of compute latency for very high-performance use cases such as computer vision or algorithmic trading. Starting today, your executable code acts much like an AWS Lambda function, can be invoked by events or invoke other Lambdas, and can take advantage of other Greengrass functionality such as Local Resource Access. You can mix and match executable code together with Lambda functions written in interpreted languages such as Python or Node.js.

Greengrass now also allows you to change the queue size for locally stored MQTT messages. Greengrass already spools messages that are published to the cloud when the host device is disconnected from the internet, which is important for environments with intermittent connectivity. Now, the queue size is configurable, which lets customers fine tune the balance between data retention and conserving local storage space.

Amazon VPC CNI Plugin Version 1.1 is released

The Amazon VPC Container Networking Interface (CNI) plugin version 1.1 is now available.

The Amazon VPC CNI plugin allows Kubernetes pods to receive native AWS VPC IP addresses, giving them network access and security controls. The CNI plugin is a core part of Amazon Elastic Container Service for Kubernetes (EKS) and as such, the EKS team will continue to develop the project in collaboration with our partners and customers.

AWS Batch Is Now Available in South America (São Paulo) Region

AWS Batch is available in South America (São Paulo) AWS Region. In addition, customers can start using the AWS Batch console to run jobs on August 1st.

AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2 and EC2 Spot Instances.

Amazon Redshift now provides customized best practice recommendations with Advisor

Amazon Redshift announces Advisor, a new feature that provides automated recommendations to help you optimize database performance and decrease operating costs. Advisor is available via the Amazon Redshift console at no charge.

Advisor is like a personal database assistant that generates tailored recommendations related to database operations and cluster configuration based on analyzing your cluster’s performance and usage metrics. Currently, Advisor can show up to seven recommendations to help you optimize your cluster. However, it displays only those recommendations that will have a significant impact for your workload. When Advisor determines that a recommendation has been addressed, it will be removed from your recommendation list. 

AWS Service Catalog Launches Support for CloudFormation Change Sets

AWS Service Catalog, used by enterprises, system integrators, and managed service providers to organize, govern, and provision cloud resources on AWS, now supports CloudFormation Change Sets. This also includes CloudFormation Transforms, which provides capability for the Serverless Application Model (SAM).

Change Sets allow you to launch and update application stacks with confidence by providing a preview of the changes that will be made to AWS resources before they are executed, and give visibility into whether proposed changes will add, delete, or replace any resources. AWS CloudFormation makes the changes to a stack only when you decide to execute the Change Set, allowing you to decide whether to proceed with the proposed changes immediately, at a later date, or to explore different changes by creating another change set. AWS Service Catalog supports CloudFormation Change Sets natively via API and console.

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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