Preventing Rhino Poaching With Microsoft Azure
May 7, 2019May 7, 201905/7/19Peace Parks Foundation partnered with Microsoft to build a scalable alerting system that helps to fight rhino poaching in South Africa.
May 7, 2019May 7, 201905/7/19May 7, 2019May 7, 201905/7/19
Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services
January 10, 2019Jan 10, 201901/10/19Deep learning algorithms capable of learning and predicting customer behavior are allowing businesses to intervene with the right retention offers at the right time. CSE recently partnered with Majid Al Futtaim Ventures (MAF) to design and deploy a machine learning solution to predict attrition.
How to Build A K8S Http API For Helm, and Serve Micro-services Using A Single IP
October 25, 2018Oct 25, 201810/25/18The Commercial Software Engineering team (CSE) partnered with Axonize to automate the process of deploying apps to Kubernetes, and expose these apps to the internet via a single IP.
This post is about enabling applications in your Kubernetes cluster to programmatically install helm charts and expose them through a single public facing IP.
Infrastructure as Code – On demand GPU clusters with Terraform & Jenkins
August 9, 2018Aug 9, 201808/9/18Developing robust algorithms for self-driving cars requires sourcing event data from over 10 billion hours of recorded driving time. CSE worked with Cognata, a startup developing simulation platforms for autonomous vehicles, to build a Jenkins pipeline and Terraform solution that enabled our partner to dynamically scale GPU resources for their simulations.
Deploying a Batch AI Cluster for Distributed Deep Learning Model Training
July 9, 2018Jul 9, 201807/9/18Microsoft 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, 2018Jun 1, 201806/1/18Over 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, 2018Apr 17, 201804/17/18We 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, 2018Feb 9, 201802/9/18We 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, 2018Jan 29, 201801/29/18We 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, 2018Jan 24, 201801/24/18We created a solution to ingest Azure Event Hubs events at scale using Python and Kubernetes.
