AWS News Blog

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Top Announcements of AWS re:Invent 2022

AWS VP and Chief Evangelist Jeff Barr, plus a select group of AWS Developer Advocate colleagues, have personally chosen their picks for some of the most impactful and exciting product and service launches to debut at AWS re:Invent 2022. Below you’ll find links to their AWS News Blog posts (plus a few noteworthy What’s New […]

New – Process PDFs, Word Documents, and Images with Amazon Comprehend for IDP

Today we are announcing a new Amazon Comprehend feature for intelligent document processing (IDP). This feature allows you to classify and extract entities from PDF documents, Microsoft Word files, and images directly from Amazon Comprehend without you needing to extract the text first. Many customers need to process documents that have a semi-structured format, like […]

Introducing Amazon GameLift Anywhere – Run Your Game Servers on Your Own Infrastructure

In 2016, we launched Amazon GameLift, a dedicated hosting solution that securely deploys and automatically scales fleets of session-based multiplayer game servers to meet worldwide player demand. With Amazon GameLift, you can create and upload a game server build once, replicate, and then deploy across multiple AWS Regions and AWS Local Zones to reach your […]

Amazon CodeCatalyst

Announcing Amazon CodeCatalyst, a Unified Software Development Service (Preview)

Today, we announced the preview release of Amazon CodeCatalyst. A unified software development and delivery service, Amazon CodeCatalyst enables software development teams to quickly and easily plan, develop, collaborate on, build, and deliver applications on AWS, reducing friction throughout the development lifecycle. In my time as a developer the biggest excitement—besides shipping software to users—was […]

New — Create Point-to-Point Integrations Between Event Producers and Consumers with Amazon EventBridge Pipes

It is increasingly common to use multiple cloud services as building blocks to assemble a modern event-driven application. Using purpose-built services to accomplish a particular task ensures developers get the best capabilities for their use case. However, communication between services can be difficult if they use different technologies to communicate, meaning that you need to […]

AWS Step Functions Distributed Map

Step Functions Distributed Map – A Serverless Solution for Large-Scale Parallel Data Processing

I am excited to announce the availability of a distributed map for AWS Step Functions. This flow extends support for orchestrating large-scale parallel workloads such as the on-demand processing of semi-structured data. Step Function’s map state executes the same processing steps for multiple entries in a dataset. The existing map state is limited to 40 […]

AWS Marketplace Vendor Insights

AWS Marketplace Vendor Insights – Simplify Third-Party Software Risk Assessments

AWS Marketplace Vendor Insights is a new capability of AWS Marketplace. It simplifies third-party software risk assessments when procuring solutions from the AWS Marketplace. It helps you to ensure that the third-party software continuously meets your industry standards by compiling security and compliance information, such as data privacy and residency, application security, and access control, […]

Amazon SageMaker - Shadow Testing

New for Amazon SageMaker – Perform Shadow Tests to Compare Inference Performance Between ML Model Variants

As you move your machine learning (ML) workloads into production, you need to continuously monitor your deployed models and iterate when you observe a deviation in your model performance. When you build a new model, you typically start validating the model offline using historical inference request data. But this data sometimes fails to account for […]

Amazon SageMaker Studio Notebooks

Next Generation SageMaker Notebooks – Now with Built-in Data Preparation, Real-Time Collaboration, and Notebook Automation

In 2019, we introduced Amazon SageMaker Studio, the first fully integrated development environment (IDE) for data science and machine learning (ML). SageMaker Studio gives you access to fully managed Jupyter Notebooks that integrate with purpose-built tools to perform all ML steps, from preparing data to training and debugging models, tracking experiments, deploying and monitoring models, […]