We explore how we worked with a customer to add autoscaling capability to a Kubernetes cluster to meet bursty demands for deep learning training in a cost-efficient manner.
We demonstrate how we migrated the compute resources of a genomics intelligence platform to Azure, transferring more than 100 TB of blob storage and handling application secrets without embedding the Azure SDK.
We collaborated on an image classification pipeline to perform automatic face detection and matching using machine learning via Microsoft Cognitive Services Face API. Our project was built with Azure Functions to process images using message queues.
We partnered with the Connecticut Coalition to End Homelessness to develop a Xamarin application, WeCount, for volunteers to use to collect survey data for the 2017 Point-In-Time Count.
We will cover the steps necessary to get Deis Workflow up and running on Azure, and address the production deployment steps in depth.
Using GraphQL and Azure to create a data processing pipeline for identifying trends and providing insights about global humanitarian crises.
SaltStack delivers infrastructure as code and configuration management with an abstraction of the cloud provider selected. We will illustrate the end-to-end process of how we provisioned and configured the deployment of an ElasticSearch cluster on Azure using SaltStack.
We partnered with General Fusion to develop and deploy their new Pachyderm-based data infrastructure to Microsoft Azure. This post walks through General Fusion’s new data architecture and how we deployed it to Azure.
Deploy your project to Microsoft Azure with a single click of a button. We'll walk through how we simplified deployment of slackin through the 'Deploy to Azure' button, and show how you can do the same to enable easy deployment of your project to Azure.
Creating a configuration-based bot service that runs on Azure and supports multiple customers' applications using Microsoft Bot Framework.
