Streamline server fleet management with AWS Systems Manager Fleet Manager

By Dustin Ward

AWS FeedStreamline server fleet management with AWS Systems Manager Fleet Manager Organizations manage an increasingly diverse IT infrastructure, one that spans cloud and on-premises environments and uses different tools and services. Managing these diverse hybrid environments can be complicated and resource-intensive. Fleet Manager, a new feature in AWS Systems Manager, makes it easy and cost-effective…

Multi-account model deployment with Amazon SageMaker Pipelines

By Dustin Ward

AWS FeedMulti-account model deployment with Amazon SageMaker Pipelines Amazon SageMaker Pipelines is the first purpose-built CI/CD service for machine learning (ML). It helps you build, automate, manage, and scale end-to-end ML workflows and apply DevOps best practices of CI/CD to ML (also known as MLOps). Creating multiple accounts to organize all the resources of your…

Capturing and Visualizing Multi-Tenant Metrics Inside a SaaS Application on AWS

By Dustin Ward

AWS FeedCapturing and Visualizing Multi-Tenant Metrics Inside a SaaS Application on AWS By Anubhav Sharma, Sr. Partner Solutions Architect – AWS SaaS FactoryBy Tod Golding, Principal Partner Solutions Architect – AWS SaaS Factory The activity and consumption patterns of customers (tenants) in a software-as-a-service (SaaS) environment is often difficult to assess in a multi-tenant environment.…

Protecting your media assets with token authentication

By Dustin Ward

AWS FeedProtecting your media assets with token authentication This post was authored by Osmar Bento and Arturo Velasco, Media and Entertainment Solution Architects at AWS.   Video streaming is no longer exclusively done by media companies. Schools, ecommerce retailers, tech companies, and banks are creating media content to distribute directly to their consumers. Video streaming,…

Leverage deep learning in Scala with GPU on Spark 3.0

By Dustin Ward

AWS FeedLeverage deep learning in Scala with GPU on Spark 3.0 This post was contributed by Qing Lan, Carol McDonald, and Kong Zhao. With the growing interest in deep learning (DL), more users are using DL in their production environments. Because DL requires intensive computational power, developers are leveraging GPUs to do their training and…