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.
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.
We created a solution to ingest Azure Event Hubs events at scale using Python and Kubernetes.
Implementing spatial capabilities by mapping entities to unique grid numbers in large-scale cloud-based table storage, like Microsoft Azure Table Storage.
Building a website map to visualize real-time geographic data from mobile apps with Event Hubs and SignalR using Leaflet.
At Microsoft, we are working with a number of car manufacturers on processing telemetry streams. One of the key business scenarios for the incoming real-time car telemetry is to offer real-time driver risk scoring for end user driving guidance applications, fleet administration, and usage-based insurance scenarios.
