As an Engineering team on Microsoft’s Commercial Software Engineering (CSE), we strive to empower customers to build and maintain their software-based solutions. A key factor in being successful in our goal is to educate and develop the solution by applying certain Engineering Fundamentals. In this article, we will cover Observability.
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.
A common use case in the bot-verse is the ability to hand over a customer conversation from a bot to a human, and the vital need for a feedback loop for this kind of scenario. From this, we developed a Hand-off Dashboard Template that can be used within the Ibex dashboard to provide users with important information about how their bot and agents ar...
We share how we built a flexible data visualization dashboard by leveraging the GraphQL stack.
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.
When considering bots, it’s often important for organizations to have the ability to “hand off” a customer from a bot to a human agent seamlessly. We implemented an unopinionated e-2-e solution called Handoff for bot authors to implement a variety of scenarios, using the Microsoft Bot Framework Node.js SDK.
Learn how leverage complex Azure Resource Manager Template Language to dynamically create and update Web availability Tests.
