Today, AWS CloudHSM launched service in additional Availability Zones (AZs) in US East (N. Virginia), Asia Pacific (Singapore), Asia Pacific (Tokyo) and AWS GovCloud (US-West) to support high demand from our growing customer base.
New AWS Solutions Consulting Offer – Digital Banking Engagement Platform
Digital Banking Engagement Platform (DBEP) is an AWS Solutions Consulting Offer delivered via a consulting engagement from Sopra Steria, an AWS Financial Services Competency Partner, and its subsidiary Sopra Banking Software. DBEP offers data-driven financial services to help institutions adopt Open Banking capabilities and enhance customer engagement. Customers that request this consulting offer will participate in an engagement that delivers inception, design, and implementation of the platform.
New AWS Solutions Consulting Offer – AI-Powered Inventory Management
AI-Powered Inventory Management is an AWS Solutions Consulting Offer delivered via a consulting engagement from Intellify, an AWS Machine Learning Competency Partner. AI-Powered Inventory Management helps improve inventory health by automating inventory forecasting to take the time and guesswork out of inventory management. Customers that request this consulting offer will participate in an engagement that delivers data integration, machine learning modelling, solution deployment, and support.
Amazon ECS Service Discovery Now Available in Africa (Cape Town) and Europe (Milan)
Today, Amazon Elastic Container Service (ECS) launches integrated service discovery in the Africa (Cape Town) and Europe (Milan) regions.
AWS Cloud Map now supports resource tagging in AWS Console
You can now tag your AWS Cloud Map namespaces and services through AWS Console. AWS Cloud Map is a cloud resource discovery service. Using AWS Cloud Map, you can define custom names for your application resources, such as Amazon ECS tasks, Amazon EC2 instances, Amazon S3 buckets, or any other cloud resource. Your application can then discover the location and metadata of cloud resources associated with these custom names via AWS SDK or by making authenticated API calls.
Application Load Balancer now supports Application Cookie Stickiness
Application Load Balancer (ALB) now supports Application-based cookie stickiness. This new feature helps customers ensure that clients connect to the same load balancer target for the duration of their session using application cookies. This enables customers to achieve a consistent client-server experience with greater controls such as the flexibility to set custom cookie names and criteria for client-target stickiness within a target group.
You now can use PartiQL with DynamoDB local to query, insert, update, and delete table data in Amazon DynamoDB
DynamoDB local now supports PartiQL (a SQL-compatible query language) so that you can query, insert, update, and delete DynamoDB table data. PartiQL is supported for all DynamoDB data-plane operations, and it helps improve the productivity of developers as they use this familiar, structured query language to perform operations. Developers can use PartiQL to develop applications, and test them offline before deploying them to production.
AWS Graviton2 M6g, C6g, and R6g instances now available in Asia Pacific (Seoul, Hong Kong) regions, and M6gd, C6gd, and R6gd instances now available in EU (Frankfurt), and Asia Pacific (Singapore, Sydney) regions
Starting today, Amazon EC2 M6g, C6g, and R6g instances are available in Asia Pacific (Seoul), and Asia Pacific (Hong Kong) regions. Additionally, Amazon EC2 M6gd, C6gd and R6gd instances with local NVMe-based SSD storage are now available in EU (Frankfurt), Asia Pacific (Singapore), and Asia Pacific (Sydney) regions.
AWS Solutions Implementation – AWS MLOps Framework adds a model monitoring pipeline for customers to take remedial action when there are deviations in model quality
AWS Solutions has updated the AWS MLOps Framework , an AWS Solutions Implementation that now provides a pipeline for model monitoring. In addition to the bring-your-own-model pipeline, the solution offers the ability to provision multiple model monitor pipelines to periodically monitor the quality of deployed ML models on Amazon SageMaker endpoints. This added functionality is key in ensuring model performance as customers can get notified when drift in model quality, bias, and feature importance occur in production.
Introducing Amazon EC2 M5n, M5dn, R5n, and R5dn Bare Metal Instances
Starting today, Amazon EC2 M5n, M5dn, R5n, and R5dn bare metal instances that can utilize up to 100 Gbps of network bandwidth, and Elastic Fabric Adapter (EFA) for HPC/ML workloads are generally available. Amazon EC2 bare metal instances provide your applications with direct access to the Intel® Xeon® Scalable processor and memory resources of the underlying server. These instances are ideal for workloads that require access to the hardware feature set (such as Intel® VT-x), or for applications that need to run in non-virtualized environments for licensing or support requirements.