My main use case for Solve DevOps Elasticsearch and Kibana is using Kibana to pull reports, do data analysis, and track and monitor data about the business we are doing currently, as Kibana provides us with live data, and we can see how the transactions are doing. I use Kibana for data analysis because it has a database of transactions that happened in the past or even today. For example, if today I want to review how one business that we are supporting is currently doing, I will pull out a report with specific items that I want to see on that report. Something that I love about Kibana is that every analysis I run can be saved, allowing me to look at the transactions performance or the success rate and also those I can use to look at the fail rate. When I want to analyze something, I just have to change the name of the business.
My main use case for Solve DevOps Elasticsearch and Kibana is using Kibana to pull reports, do data analysis, and track and monitor data about the business we are doing currently, as Kibana provides us with live data, and we can see how the transactions are doing. I use Kibana for data analysis because it has a database of transactions that happened in the past or even today. For example, if today I want to review how one business that we are supporting is currently doing, I will pull out a report with specific items that I want to see on that report. Something that I love about Kibana is that every analysis I run can be saved, allowing me to look at the transactions performance or the success rate and also those I can use to look at the fail rate. When I want to analyze something, I just have to change the name of the business.