Amazon Web Services FeedAWS Partners Support the Migration and Modernization of Customers’ Most Strategic Workloads By Chris Sullivan, Director, Worldwide Strategic Alliances at AWS For more than a decade, customers have run their most strategic workloads on Amazon Web Services (AWS). This is due to AWS’s experience, maturity, reliability, security, and performance. Strategic workloads running…
Amazon Web Services FeedYour guide to artificial intelligence and machine learning at re:Invent 2020 With less than a week to re:Invent 2020, we are feeling the excitement and thrill, and looking forward to seeing you all at the world’s premier cloud learning event. As always, artificial intelligence (AI) and machine learning (ML) continue to be…
Amazon Web Services FeedNew – Attribute-Based Access Control with AWS Single Sign-On Starting today, you can pass user attributes in the AWS session when your workforce sign-in into the cloud using AWS Single Sign-On. This gives you the centralized account access management of AWS Single Sign-On and ABAC, with the flexibility to use AWS SSO,…
Amazon Web Services FeedIntroducing AWS CloudFormation modules If you’ve used AWS CloudFormation, you’ve probably experienced times when you are trying to build applications and want to deploy resources with best practices defined. As you work on your templates, you might be curious about which resource properties to configure and which values to use to follow…
Amazon Web Services FeedNew Synchronous Express Workflows for AWS Step Functions Today, AWS is introducing Synchronous Express Workflows for AWS Step Functions. This is a new way to run Express Workflows to orchestrate AWS services at high-throughput. Developers have been using asynchronous Express Workflows since December 2019 for workloads that require higher event rates and…
Amazon Web Services FeedA deep dive into high-cardinality anomaly detection in Elasticsearch In May 2020, we announced the general availability of real-time anomaly detection for Elasticsearch. With that release we leveraged the Random Cut Forest (RCF) algorithm to identify anomalous behaviors in the multi-dimensional data streams generated by Elasticsearch queries. We focused on aggregation first,…