AWS News Blog

Category: Launch

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 […]

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 JumpStart

New – Share ML Models and Notebooks More Easily Within Your Organization with Amazon SageMaker JumpStart

Amazon SageMaker JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. SageMaker JumpStart gives you access to built-in algorithms with pre-trained models from popular model hubs, pre-trained foundation models to help you perform tasks such as article summarization and image generation, and end-to-end solutions to solve common use cases. […]

New for Amazon Redshift – Simplify Data Ingestion and Make Your Data Warehouse More Secure and Reliable

When we talk with customers, we hear that they want to be able to harness insights from data in order to make timely, impactful, and actionable business decisions. A common pattern with data-driven organizations is that they have many different data sources they need to ingest into their analytics systems. This requires them to build […]

Announcing Additional Data Connectors for Amazon AppFlow

Gathering insights from data is a more effective process if that data isn’t fragmented across multiple systems and data stores, whether on premises or in the cloud. Amazon AppFlow provides bidirectional data integration between on-premises systems and applications, SaaS applications, and AWS services. It helps customers break down data silos using a low- or no-code, […]