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Últimas noticias sobre Cloud Computing, AWS, Kubernetes, OpenShift, Ansible, Jenkins y mucho más!

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, Read more about AWS Marketplace Vendor Insights – Simplify Third-Party Software Risk Assessments[…]

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 Read more about New for Amazon SageMaker – Perform Shadow Tests to Compare Inference Performance Between ML Model Variants[…]

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, Read more about Next Generation SageMaker Notebooks – Now with Built-in Data Preparation, Real-Time Collaboration, and Notebook Automation[…]

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. Read more about New – Share ML Models and Notebooks More Easily Within Your Organization with Amazon SageMaker JumpStart[…]

AWS Machine Learning University New Educator Enablement Program to Build Diverse Talent for ML/AI Jobs

AWS Machine Learning University is now providing a free educator enablement program. This program provides faculty at community colleges, minority-serving institutions (MSIs), and historically Black colleges and universities (HBCUs) with the skills and resources to teach data analytics, artificial intelligence (AI), and machine learning (ML) concepts to build a diverse pipeline for in-demand jobs of Read more about AWS Machine Learning University New Educator Enablement Program to Build Diverse Talent for ML/AI Jobs[…]

AWS Verified Access Preview — VPN-less Secure Network Access to Corporate Applications

Today, we announced the preview of AWS Verified Access, a new secure connectivity service that allows enterprises to enable local or remote secure access for their corporate applications without requiring a VPN. Traditionally, remote access to applications when on the road or working from home is granted by a VPN. Once the remote workforce is Read more about AWS Verified Access Preview — VPN-less Secure Network Access to Corporate Applications[…]

New – Announcing Automated Data Preparation for Amazon QuickSight Q

In this post that was published in September 2021, Jeff Barr announced general availability of Amazon QuickSight Q. To recap, Amazon QuickSight Q is a natural language query capability that lets business users ask simple questions of their data. QuickSight Q is powered by machine learning (ML), providing self-service analytics by allowing you to query Read more about New – Announcing Automated Data Preparation for Amazon QuickSight Q[…]

Introducing VPC Lattice – Simplify Networking for Service-to-Service Communication (Preview)

Modern applications are built using modular and distributed components. Each component is a service that implements its own subset of functionalities. To make these services communicate with each other, you need a way to let them discover where they are, authorize access, and route traffic. When troubleshooting issues, you need to keep communication configurations under Read more about Introducing VPC Lattice – Simplify Networking for Service-to-Service Communication (Preview)[…]

Announcing AWS KMS External Key Store (XKS)

I am excited to announce the availability of AWS Key Management Service (AWS KMS) External Key Store. Customers who have a regulatory need to store and use their encryption keys on premises or outside of the AWS Cloud can now do so. This new capability allows you to store AWS KMS customer managed keys on Read more about Announcing AWS KMS External Key Store (XKS)[…]

New for Amazon Redshift – General Availability of Streaming Ingestion for Kinesis Data Streams and Managed Streaming for Apache Kafka

Ten years ago, just a few months after I joined AWS, Amazon Redshift was launched. Over the years, many features have been added to improve performance and make it easier to use. Amazon Redshift now allows you to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes. More recently, Amazon Redshift Read more about New for Amazon Redshift – General Availability of Streaming Ingestion for Kinesis Data Streams and Managed Streaming for Apache Kafka[…]