Amazon Web Services FeedBuilding event-driven architectures with Amazon SNS FIFO This post is courtesy of Christian Mueller, Principal Solutions Architect. Developers increasingly adopt event-driven architectures to decouple their distributed applications. Often, these events must be propagated in a strictly ordered manner to all subscribed applications. Using Amazon SNS FIFO topics and Amazon SQS FIFO queues,…
Amazon Web Services FeedUse AWS Systems Manager Explorer to optimize your compute resources across your AWS Organizations As a solutions architect with AWS, I work with customers to right-size their Amazon Elastic Cloud Compute instances to achieve a balance between performance and cost. Optimization is an iterative task that involves several cycles of making changes,…
Amazon Web Services FeedArchitecting a Data Lake for Higher Education Student Analytics One of the keys to identifying timely and impactful actions is having enough raw material to work with. However, this up-to-date information typically lives in the databases that sit behind several different applications. One of the first steps to finding data-driven insights is…
Amazon Web Services FeedBring your own CLI to Session Manager with configurable shell profiles In keeping with the principle that identity is the new perimeter, AWS Systems Manager Session Manager provides a mechanism for authenticated and authorized AWS Identity and Access Management (IAM) principals to gain data-plane shell access to Amazon EC2 instances, without setting…
Amazon Web Services FeedHow HeleCloud Used AWS Secrets Manager to Automate Credentials Rotation of MS SQL on Amazon EC2 By Prasad Rao, Partner Solution Architect at AWSBy Nikolay Bunev, Sr. Cloud Consultant at HeleCloud Running workloads on the cloud can help customers reduce total cost of ownership (TCO) while increasing agility and scalability. When transforming…
Amazon Web Services FeedUsing Amazon SageMaker inference pipelines with multi-model endpoints Businesses are increasingly deploying multiple machine learning (ML) models to serve precise and accurate predictions to their consumers. Consider a media company that wants to provide recommendations to its subscribers. The company may want to employ different custom models for recommending different categories of…