AWS FeedOrchestrate XGBoost ML Pipelines with Amazon Managed Workflows for Apache Airflow The ability to scale machine learning operations (MLOps) at an enterprise is quickly becoming a competitive advantage in the modern economy. When firms started dabbling in ML, only the highest priority use cases were the focus. Businesses are now demanding more from ML…
AWS FeedSupporting development of Core WCF Core WCF is a port of Windows Communication Framework (WCF) to .NET Core. Used to build service-oriented applications based on the .NET Framework, WCF enabled applications to asynchronously send data, packaged as messages, between service endpoints. WCF is a popular framework supporting many service-based use cases, including processing business…
In this article, I will explain how I built COINDATAX, a cryptocurrency analytics platform to help investors analyze the market, and explain why we choose to go serverless. I will also explain our biggest pain points with AWS Lambda, and how Dashbird helped us with Lambda performance monitoring. Why serverless? When my co-founder and I decided…
AWS FeedField Notes: Build Dynamic IVR Menus with Amazon Connect and AWS Lambda This post was co-written by Marius Cealera, Senior Partner Solutions Architect at AWS, and Zdenko Estok, Cloud Architect and DevOps Engineer at Accenture. Modern interactive voice response (IVR) systems help customers find answers to their questions through a series of menus, usually…
AWS FeedDeveloping, versioning, testing, and deploying landing zone changes using CfCT across multiple landing zones Enterprise customers often ask how they can minimize risk when they’re developing and testing a landing zone configuration. They also want to know how they can promote code between multiple landing zones. AWS Control Tower provides the easiest way to…
AWS FeedBlue/Green deployment with AWS Developer tools on Amazon EC2 using Amazon EFS to host application source code Many organizations building modern applications require a shared and persistent storage layer for hosting and deploying data-intensive enterprise applications, such as content management systems, media and entertainment, distributed applications like machine learning training, etc. These applications demand…