From the course: Microservices: Asynchronous Messaging

Unlock the full course today

Join today to access over 24,400 courses taught by industry experts.

System analytics

System analytics

From the course: Microservices: Asynchronous Messaging

Start my 1-month free trial Buy for my team

System analytics

“

- After log aggregation, one of the key uses, is analytical exercises on the stream data platform. This exercise is performed after the internal processing of the messages, and in the aggregations. In the real world of analytics tools and engines, you may be curious why the stream data platform is an optimal place to do system analytics. The reason is speed, efficiency and ultimately near real-time activity. When it comes to near real-time activity, short of in-process activity, the stream data platform offers the first place analytics can occur. And often is a bigger view of the data. In an in-process solution you would be restricted to the data available to the individual microservice. But in a stream data analytics solution you would have multiple microservices and systems to capture and analyze the data from. This near real-time activity means your reaction times are quicker as well. If you are building analytics…

Contents