Storing and Aggregating Time Series Data With Elastic Search

When talking about time series data, the data will be very huge. The number of records increases based on the granularity level. If the granularity is minute, we will get 60 records for one minute for one instance.

For example, we want to store CPU percentage of a device for each minute. So let's assume we are getting data for the last 30 days.