Esko collects data from a number of (desktop and cloud) applications. A typical ‘usage tracking’ item is an action done by a user at some moment in an Esko application. These items are sent in batches into a cloud service which maintains and indexes them and makes this available to business applications used by both commercial and technical people to improve the product.
The amount of data rapidly grows and becomes unmanageably big to keep in a format from which you can rapidly derive information (such as dashboards). This forces us to reduce the data without throwing away the metrics. Meaning that a smart way has to be applied to consolidate raw data into smart metrics that can still provide the necessary information

Tags: AWS programming, AWS Lambda, ElasticSearch, Data Engineering

Java