ISE Developer Blog

Deploying a Batch AI Cluster for Distributed Deep Learning Model Training

July 9, 2018 Jul 9, 2018 07/9/18

Stephanie Marker

Microsoft and Land O'Lakes partnered to develop an automated solution to identify sustainable farming practices given thousands of satellite images of Iowan farms. Our primary goal was to reduce the reliance on manual interviewing of farmers and make it more profitable for farmers to follow sustainable farming practices. To tackle this issue our team deployed a highly scalable Batch AI cluster on Azure and then performed distributed deep learning model training with Horovod.

Building a Private Ethereum Consortium

June 1, 2018 Jun 1, 2018 06/1/18

Jason Poon

Over the past two years, Microsoft and Webjet have collaborated to build a blockchain-based solution, Rezchain, to help travel companies reduce payment disputes. In this code story, we’ll share the lessons learned in creating the Rezchain consortium. In particular, we'll focus on how we solved the challenges involved with enabling Ethereum nodes to peer across virtual networks.

Packaging an Electron app for managed distribution across devices

April 17, 2018 Apr 17, 2018 04/17/18

Hassaan

We developed an Electron-based app using Microsoft Intune cloud service for management and distribution across a broad range of devices.

Using Helm to Deploy Blockchain to Kubernetes

February 9, 2018 Feb 9, 2018 02/9/18

Jason Poon

We recently worked with Webjet to migrate their deployment from IaaS to Kubernetes and used Helm to deploy a private Ethereum network to Kubernetes.

Orchestrating TURN Servers for Cloud Deployment

January 29, 2018 Jan 29, 2018 01/29/18

Anastasia Zolochevska

We worked with Aveva to build 3DToolkit, a toolkit for creating powerful cloud-based 3D experiences that stream on low-powered devices with WebRTC.

Azure Event Hub Ingestion at Scale with Python and Kubernetes

January 24, 2018 Jan 24, 2018 01/24/18

Tomer Rosenthal

We created a solution to ingest Azure Event Hubs events at scale using Python and Kubernetes.

Continuous Delivery for Service Fabric via Github, Travis CI and Docker Compose

January 18, 2018 Jan 18, 2018 01/18/18

Clemens Wolff

This article describes how to use GitHub, Travis CI and Docker Compose to build a simple continuous delivery pipeline to deploy Linux Docker containers to a Service Fabric cluster of Linux hosts.

Deploying a Linux Python web application to Service Fabric via Docker Compose

January 9, 2018 Jan 9, 2018 01/9/18

Clemens Wolff

This article covers how to take a standard Python web service consisting of an application tier, a WSGI server, and a Nginx reverse proxy and deploy it via Linux containers to a Linux cluster managed by Azure Service Fabric using only simple tooling like Docker Compose.

Autoscaling Deep Learning Training with Kubernetes

November 21, 2017 Nov 21, 2017 11/21/17

Rita Zhang

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.

Bird Detection with Azure ML Workbench

October 24, 2017 Oct 24, 2017 10/24/17

Olga Liakhovich

We demonstrate how to train Object Detection models using CNTK and Tensoflow DNN frameworks. Azure ML Workbench is used as the main training and model hosting infrastructure.

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