The course is part of this learning path
This course will focus on the skills needed to integrate Azure Monitor and its corresponding features within IoT solutions. Each service within a given IoT solution has the ability to produce metrics, logging, and alerting data. How are you going to gather all of that information and make it available to users that are managing and maintaining your solutions? This course will provide the answers to that question!
- Understand the different metrics and diagnostics that can be retrieved from the Azure IoT Hub
- Learn how to configure the IoT Hub for scaling programmatically
- Learn how to query and visualize the data that is stored in Azure Monitor
- Define specific Azure policies for your IoT Hub so that the hub meets your requirements
- Learn how to gather metrics and diagnostics from IoT Edge
- Operational engineers
- Cloud architects
- Anyone responsible for deploying IoT solutions on Azure
To get the most out of this course, you should have a strong understanding of the available IoT services that Microsoft provides, as well as a strong understanding of Azure Monitor and the different types of data that can be retrieved through all of its features and services.
Hi there, my name is Brian Harrison. Welcome to the Configuring Health Monitoring for IoT Solutions course. As I mentioned, my name is Brian Harrison, I am a Public Cloud Solution Architect for VM Ware, but I've been involved in the cloud for well over a decade, both with Microsoft Azure as well as with Amazon's AWS. I actually worked at Microsoft as a Cloud Solution Architect and here are some of the ways that you can get in contact with me if you should have any questions or wanna learn about some of the other courses that I might have taught.
Who actually should be watching this course? Developers who are building IoT solutions is a perfect example, because you need to understand how your solution is actually performing once it's been deployed. Operational engineers who are managing and maintaining those IoT solutions so that they can set up alerts and keep track of the performance of your IoT solution. Cloud Architects or Engineers that will be deploying IoT solutions within Azure as well. All of these individuals are gonna need to understand the information that this course is gonna be providing.
The course objectives are very simple. The course will focus on the skills to integrate Azure Monitor, and its corresponding features with your IoT solution so that you can get the most data possible to understand how your IoT solution is performing. Each service within a given IoT solution has the ability to produce metrics, logging, and alerting data. How are you going to gather all of that information and make it available to those that are managing and maintaining your solutions? This course will absolutely provide the answers to that question.
Some of the prerequisites that you're gonna need: Candidates for the course should have a strong understanding of the available IoT services that Microsoft provides. Candidates should also have a strong understanding of Azure Monitor and the different types of data that can be retrieved through all of its features and services.
If you have any questions or feedback to Cloud Academy, here is the support email for Cloud Academy directly.
Brian has been working in the Cloud space for more than a decade as both a Cloud Architect and Cloud Engineer. He has experience building Application Development, Infrastructure, and AI-based architectures using many different OSS and Non-OSS based technologies. In addition to his work at Cloud Academy, he is always trying to educate customers about how to get started in the cloud with his many blogs and videos. He is currently working as a Lead Azure Engineer in the Public Sector space.