It is very difficult to identify any attack or sudden peak in data graphs because, while monitoring, we used to depend on our eyes to search and trace the root cause of any problem, and to get any idea of such issues, we have to play with time pickers for setting different time ranges. We can do that by searching and discovering the trends and peaks in the graphs, but there is a tool that can help us to pinpoint these issues and let us know about any such incidents easily.

Using the X-Pack machine learning feature, we can create the jobs for any such requirements and can obtain a complete insight by identifying the outliers. It can also help us to perform a predictive analysis by reading the data available in Elasticsearch, applying algorithms and then displaying it in Kibana.  

Using Elastic Stack, we can get an insight into our data, such as the amount of traffic on a website by seeing the requests per second. This information can show us the trends...