Nov 6, 2021, 9:29:59 AM |
Kibana is a dashboarding tool that works very closely with Elasticsearch. Kibana can be used for different use cases, such as system monitoring and application monitoring. In a traditional monitoring system, you can monitor system performance, application logs, and so on. But with Kibana and Elastic Stack, we can do a lot of things, please mention the below points:
- We can create alerts for certain threshold values so that we can get alerts without doing a continuous monitoring
- We can configure different Beats to monitor system metrics, database metrics, and log metrics, etc.
- We can configure the APM to monitor the application metrics and any application-related issues.
- We can Configure the JDBC plugin of Logstash to pull RDBMS, CSV, or NoSQL data into Elasticsearch to make it available in Kibana for creating visualizations on different KPIs
- We can use different third-party plugins that help us to get data from different sources. For example, we can use the Twitter plugin to get the Twitter feeds
- We can apply machine learning to our data set to find any data anomaly or future trends by analyzing the current dataset.
For more details refer to my blog: Introduction to Kibana1 | 0