Big Data For Microservices

You will need to load data into Analytics Services directly

Or you will load via a Data Lake.

You may use Azure Data Factory for transferring data.

You will also subscribe to messages and events from Event Grids and Servicebus. 

You can choose one or multiple of the available analytics services.

Real-time reports require stream analytics.

Machine Learning services can be applied for predictions and anomalies detections.

Real-time reports show short-term data such as today or the last hour or the last minute.

You can monitor most or least-performing items of the range.

You can view anomalies in real-time.

It can be like gauge meters in your car dashboard.

Historical data reports show a wider time range such as a fiscal year.

Trend reports show summary data, such as daily, weekly, monthly aggregated data.

Trend reports can have a latency. (For instance, you may not see data generated today)