Extract knowledge from the data visualised in the form of different graphs.Communicate information clearly and efficiently via statistical graphics, plots and information graphics.Monitor the operations of the system remotely.Visualisation of specific logged data has the following benefits: Well, that is great but there are some other aspects of logging we can make use of. Now, if you are an expert developer who has been developing and creating software for quite a while, then you would think that logging is not a big deal and most of our code is included with a Debug.Log('_') statement. Logging makes this a much easier and smoother process. A large part of software developers’ lives is monitoring, troubleshooting and debugging. Logging enables the developers to understand what the code is actually doing and how the work-flow is. Now, imagine if there are checkpoints in the system code where, if the system returns an unexpected result, it simply flags it and notifies the developer.

It might not be identifying the devices or not receiving any data from the sensors, or might have just gotten a runtime error due to a bug in the code. One day, something goes wrong and the system is not working as expected. It works remotely, interacts with different devices, collects data from sensors and provides a service to the user. Let’s say you are developing a software product. By Ritvik Khanna How to use Elasticsearch, Logstash and Kibana to visualise logs in Python in realtime source What is logging?

Setting up elk stack