AWS FeedSetting up EC2 Mac instances as shared remote development environments This post is written by: Michael Meidlinger, Solutions Architect In December 2020, we announced a macOS-based Amazon Elastic Compute Cloud (Amazon EC2) instance. Amazon EC2 Mac instances let developers build, test, and package their applications for every Apple platform, including macOS, iOS, iPadOS, tvOS,…
AWS FeedAWS attendee guide for Cloud Operations track at re:Invent 2021 AWS re:Invent is a learning conference hosted by Amazon Web Services (AWS) for the global cloud computing community. We are super excited to join you at the 10th annual re:Invent to share the latest from AWS leaders and discover more ways to learn and…
AWS FeedField Notes: Building On-Demand Disaster Recovery for IBM DB2 on AWS With the increased adoption of critical applications running in the cloud, customers often find themselves revisiting traditional strategies that were adopted for on-premises workloads. When it comes to IBM DB2, one of the first decisions to make is to decide what backup and…
AWS FeedAccelo uses Amazon QuickSight to accelerate time to value in delivering embedded analytics to professional services businesses This is a guest post by Accelo. In their own words, “Accelo is the leading cloud-based platform for managing client work, from prospect to payment, for professional services companies. Each month, tens of thousands of Accelo users…
AWS FeedDeploying AWS Lambda layers automatically across multiple Regions This post is written by Ben Freiberg, Solutions Architect, and Markus Ziller, Solutions Architect. Many developers import libraries and dependencies into their AWS Lambda functions. These dependencies can be zipped and uploaded as part of the build and deployment process but it’s often easier to use Lambda…
AWS FeedAmazon Rekognition Custom Labels now offers an enhanced experience to train computer vision models more easily Amazon Rekognition Custom Labels is an automated machine learning (AutoML) service that allows you to build custom computer vision models to detect objects and scenes specific to your business needs without the need of in-depth machine learning expertise.…