AWS FeedUsing Amazon MQ for RabbitMQ as an event source for Lambda Amazon MQ for RabbitMQ (ARMQ) is an AWS managed version of RabbitMQ. The service manages the provisioning, setup, and maintenance of RabbitMQ, reducing operational overhead for companies. Now, with ARMQ as an event source for AWS Lambda, you can process messages from the service.…
AWS FeedWhy a Cloud Automated Operation Model is Key for Enterprises Moving to AWS By Juan Alvarez, Cloud Sr. Advisor – DXC TechnologyBy Diego Garcia, Manager, Partner Solutions Architect – AWSBy Pierre Merle, Partner Solutions Architect – AWS A transformation step is key to achieving the cloud strategy benefits for organizations moving or implementing workloads…
AWS FeedGet started with Flink SQL APIs in Amazon Kinesis Data Analytics Studio Before the release of Amazon Kinesis Data Analytics Studio, customers relied on Amazon Kinesis Data Analytics for SQL on Amazon Kinesis Data Streams. With the release of Kinesis Data Analytics Studio, data engineers and analysts can use an Apache Zeppelin notebook within…
AWS FeedERGO Breaks New Frontiers for Insurance with AI Factory on AWS This post is co-authored with Piotr Klesta, Robert Meisner and Lukasz Luszczynski of ERGO Artificial intelligence (AI) and related technologies are already finding applications in our homes, cars, industries, and offices. The insurance business is no exception to this. When AI is implemented…
AWS FeedAmplify Admin UI now supports importing existing Amazon Cognito User Pools and Identity Pools Amplify Admin UI now supports importing existing Amazon Cognito User Pools and Identity Pools. This means you can link your Cognito User Pool and Identity Pool resources to your Amplify app to take advantage of authorization scenarios for your data…
AWS FeedBuilding algorithmic trading strategies with Amazon SageMaker Financial institutions invest heavily to automate their decision-making for trading and portfolio management. In the US, the majority of trading volume is generated through algorithmic trading. [1] With cloud computing, vast amounts of historical data can be processed in real time and fed into sophisticated machine learning…