11/8/2023, 12:00:00 AM ~ 11/9/2023, 12:00:00 AM (UTC)

Recent Announcements

AWS Lambda makes it easier to troubleshoot errors and timeouts of Init and Restore phase

AWS Lambda now makes it easy to monitor and troubleshoot Lambda function failures by reporting errors and timeouts during initialization and restore phases of the Lambda function lifecycle to Amazon CloudWatch Logs.

AWS announces Amazon Aurora PostgreSQL Optimized Reads

AWS announces Amazon Aurora Optimized Reads for Aurora PostgreSQL, a new price-performance capability available on new r6gd and r6id instances that delivers up to 8x improved query latency and up to 30% cost savings compared to instances without it, for applications with large datasets that exceed the memory capacity of a database instance.

Deploy SAP applications programmatically using AWS Launch Wizard APIs

AWS Launch Wizard now allows you to deploy SAP applications using APIs in single-node, multi-node, and high availability architectures. This gives you the choice to use Launch Wizard APIs (through the AWS Software Development Kit (SDK) client or CLIs) or the existing console-based experience while still taking advantage of the built-in automation and best practices that Launch Wizard provides.

Amazon Kinesis Video Streams WebRTC Ingestion is now generally available

Amazon Kinesis Video Streams now offers fully managed capabilities to stream video and audio in real-time from Web Real-time Communication (WebRTC) standards compliant cameras, IoT devices and browsers to the cloud for secure storage, playback and analytical processing. Customers can now use our enhanced WebRTC SDK and cloud APIs to enable real-time streaming as well as media ingestion to the cloud.

Amazon Lex introduces Selective Conversation Log Capture for Amazon Lex V2

Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can quickly and easily build conversational bots (chatbots), virtual agents, and interactive voice response (IVR) systems.

AWS Application Migration Service supports AWS App2Container Replatforming

Starting today, AWS Application Migration Service (AWS MGN) provides an action for Replatforming workloads using AWS App2Container (A2C). You can now use Application Migration Service to replatform applications running on migrated servers into Amazon ECS, Amazon EKS, and AWS App Runner. The new feature provides support for replatforming .NET and Java based applications, including containerizing .NET framework based applications to Windows containers, and replatforming JBoss, Apache Tomcat, Java, and .NET core applications to Linux containers. For each migrated server, you can generate application container images, Dockerfiles, and CloudFormation artifacts required to deploy to Amazon ECS, Amazon EKS, or AWS App Runner.

AWS Audit Manager introduces framework for generative AI on Amazon Bedrock

Available today, AWS Audit Manager customers can now access a prebuilt standard framework to help gain visibility into how their generative AI implementation on Amazon Bedrock is working against AWS recommended best practices. With this framework, Amazon Bedrock customers can now start auditing their generative AI usage and automating evidence collection, providing a consistent approach for tracking AI model usage and permissions, flagging sensitive data, and alerting on issues.

AWS App Runner is now available in London, Mumbai, and Paris AWS regions

AWS App Runner expands availability to the AWS Europe (London), AWS Asia Pacific (Mumbai), and AWS Europe (Paris) regions, enabling customers to build, deploy, and run web applications and API services in AWS cloud, at scale, and without managing infrastructure.

QuickSight launches FLOAT data type support for SPICE datasets

Amazon QuickSight is excited to announce the launch of FLOAT data type support for SPICE datasets. Before we enable FLOAT data type, SPICE only supports FIXED decimal data type. FIXED decimal data type provides the benefit of exact mathematical operations, but since it only supports four decimal places, and rounding while ingesting data and performing calculations, it causes accuracy and overflow problems. The new FLOAT, i.e. floating-point numeric data type, provides approximately 16 significant digits of accuracy. These significant digits can be on either side of the decimal point, thus allowing numbers with more accuracy as well as larger range. If users are working with very small numbers (close to zero), they can use approximately 15 digits to the right of the decimal point. This helps avoid the problem of truncation and is consistent with other products’ results. Additionally, with a maximum value of approximately 1.8 * 10308, the possibility of an overflow error is effectively minimized. SPICE has added this data type without sacrificing performance, so customers can continue to experience the same super-fast performance they’ve come to expect. For further details, visit here.

Amazon RDS Performance Insights supports exporting dashboards to CloudWatch

Amazon RDS (Relational Database Service) Performance Insights now allows you to export metrics dashboards from your Amazon RDS instance to Amazon CloudWatch. You can export both the pre-configured and custom metrics dashboards. With this feature, it is now easier to view and set alarms on Amazon RDS Performance Insights metrics from Amazon CloudWatch, and integrate these metrics with other Amazon CloudWatch metrics on the same dashboard with just a few clicks in the console.

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