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

by Azalio tdshpsk | Dec 4, 2022 | AWS

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,...

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

by Azalio tdshpsk | Dec 4, 2022 | AWS

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,...

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

by Azalio tdshpsk | Dec 4, 2022 | AWS

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...

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

by Azalio tdshpsk | Dec 1, 2022 | AWS

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...

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

by Azalio tdshpsk | Dec 1, 2022 | AWS

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...

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

by Azalio tdshpsk | Dec 1, 2022 | AWS

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...