Amazon Web Services FeedScheduling Jupyter notebooks on SageMaker ephemeral instances It’s 5 PM on a Friday. You’ve spent all afternoon coding out a complex, sophisticated feature engineering strategy. It just started working on your Amazon SageMaker Studio t3.medium notebook, and all you want to do is plug this onto a massive instance, scale it out…
Amazon Web Services FeedThe Fear of Vendor Lock-in Leads to Cloud Failures Vendor lock-in has been an often-quoted risk since the mid-1990’s. Fear that by investing too much with one vendor, an organization reduces their options in the future. Was this a valid concern? Is it still today? The Risk Organizations walk a…
Amazon Web Services FeedNew – Streamline media analysis tasks with Amazon Rekognition Video Amazon Rekognition Video is a machine learning (ML) based service that can analyze videos to identify objects, people, faces, text, scenes, and activities, as well as detect any inappropriate content. Starting today, you can streamline media analysis tasks by automating the detection…
Amazon Web Services FeedImplementing geohashing at scale in serverless web applications Many web and mobile applications use geospatial data, often used with map overlays. This results in dataset queries based upon proximity, for questions such as “How far is the nearest business?” or “How many users are nearby?” Applications with significant traffic need an efficient…
Amazon Web Services FeedSimplifying serverless best practices with Lambda Powertools Modern applications are increasingly relying on compute platforms based on containers and serverless technologies to provide scalability, cost efficiency, and agility. Although this shift toward more distributed architectures has unlocked many benefits, it has also introduced new complexity in how the applications are operated. In…
Amazon Web Services FeedSoftware patching with AWS Systems Manager Cloud computing adoption has been rapidly increasing with enterprises around the globe, opting for various migration patterns during their cloud journey. Taking monolithic legacy applications as-is and moving them to the cloud, is an approach also known as “lift-and-shift,” and is one of the main drivers…