Agenda
On October 12 at 1PM PDT, 9PM BST. Ayse Mutlu from the University of Oxford and Paul DeCarlo from Microsoft’s IoT Advocacy team will livestream an in-depth walkthrough of a custom Continuous Integration / Continuous Delivery pipeline using Azure DevOps for IoT Edge Solutions.
The content will be based on an interactive learning module from MS Learn that can be followed at your leisure at https://aka.ms/learnlive/cicd.
You can follow along with us live on October 12, or join the Microsoft IOT Cloud Advocates here in the forum https://techcommunity.microsoft.com/t5/internet-of-things-iot/ct-p/IoT throughout October to ask your questions about CI / CD development with Azure DevOps for IoT Edge solution.
Meet the Presenters
Ayşe Mutlu
Data Scientist & Tutor of AI: Cloud and Edge Implementations - University of Oxford
Paul DeCarlo
Principal Cloud Advocate, Microsoft
Session Details
The Internet of Things is a technology paradigm that involves the use of internet connected devices to publish data often in conjunction with real-time data processing, machine learning, and/or storage services. Development of these systems can be enhanced through application of modern DevOps principles which include such tasks as automation, monitoring, and all steps of the software engineering process from development, testing, quality assurance, and release. In this LearnTV Live session, we will create a DevOps solution for Azure IoT Edge devices. The solution will employ a CI/CD (continuous integration/continuous deployment) strategy using Azure DevOps, Azure Pipelines, and Azure Monitor Application Insights on a Kubernetes cluster.
Learn Live Module which will be discussed and demonstrated during the session: https://docs.microsoft.com/en-us/learn/modules/implement-cicd-iot-edge/
Ready To Go
Our Livestream will be shown live on this page and at Microsoft Learn TV on Monday 12th October 2020.
We hope to be able to bring you live chat on Learn TV on that date, but you can also interact with us watch the live stream on LearnTV: http://aka.ms/IOTOxford
Watch on Demand