Azure App Services

Observability for Event Stream Processing with Azure Functions, Event Hubs, and Application Insights

May 13, 2021 May 13, 2021 05/13/21

Shervyna Ruan

With distributed tracing handled by Azure Functions, Azure Event Hubs, and Azure Application Insights behind the scenes, Azure Application Insights provides useful monitoring visualizations of the system that helped us easily understand system performances and troubleshoot failures.

Social Stream Pipeline on Databricks with auto-scaling and CI/CD using Travis

December 12, 2018 Dec 12, 2018 12/12/18

Mor Shemesh

This code story describes CSE's work with ZenCity to create a data pipeline on Azure Databricks supported by a CI/CD pipeline on TravisCI. The aim of the collaboration was to create a pipeline capable of processing a stream of social posts, analyzing them, and identifying trends.

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.

Permissively-Licensed Named Entity Recognition on the JVM

November 20, 2017 Nov 20, 2017 11/20/17

Clemens Wolff

The ability to correctly identify entities, such as places, people, and organizations, adds a powerful level of natural language understanding to applications. This post introduces a MIT-licensed one-click deployment to Azure for web services that lets developers get started with a wide range of natural language tasks in 5 minutes or less, by consuming simple HTTP services for language identification, tokenization, part-of-speech-tagging and named entity recognition.

Custom Analytics Dashboard for Application Insights

September 26, 2017 Sep 26, 2017 09/26/17

Mor Shemesh

We created an easy-to-use tool for visualizing data from Microsoft Azure Application Insights with a dashboard framework. Our solution can be applied to different bot scenarios as well as other scenarios involving the service.

Building an Image Classification Pipeline Using Serverless Architecture

July 1, 2017 Jul 1, 2017 07/1/17

Jason Fox

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.

IoT Sports Sensor Machine Learning Helps Amateurs Up Their Game

June 29, 2017 Jun 29, 2017 06/29/17

Patty Ryan

We use IoT sensors to collect positional and motion data from professional and amateur skiers to classify expertise and skill level through machine learning.

Youth Homelessness Survey App with Xamarin.Forms and HockeyApp

June 28, 2017 Jun 28, 2017 06/28/17

Eric Rozell

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.