Data Visualization with Kibana

About Data Visualization with Kibana

Are you a software developer, and do you want to learn Kibana? Then look no further —

you have come to the right place!

This course is the

best way for you to quickly learn Kibana

and put your knowledge to use within just a few hours. Forget about watching countless of YouTube tutorials, webinars, and blog posts; this course is the single resource you need to learn Kibana. In fact, this is by _far_ the most comprehensive course on Kibana you will find!

So what is Kibana, and why should you take the time to learn it?

Kibana is part of the ELK stack (Elasticsearch, Logstash, Kibana) and the Elastic Stack. It's often referred to as _the window into Elasticsearch_. With Kibana, you can

visualize the data stored within an Elasticsearch cluster

. This includes everything from running ad hoc queries, creating visualizations such as line charts and pie charts, and displaying data on dashboards. Kibana enables you to easily interact with your data, providing a _much_ better experience than writing Elasticsearch queries. Slicing and dicing data is easy, and navigating between different datasets can be done without losing context. As such, Kibana is an

excellent tool for data analysis, exploration, and investigation.

Dashboards are a key feature, enabling us to provide ourselves and teams with overviews of relevant data. For instance, we could create a dashboard for a sales department, and another for software engineers.

Kibana is also commonly used for monitoring data

, for instance in the context of _observability_. By using Kibana and the Elastic Stack for observability, you can gain insight into the performance of applications (APM), monitor service uptime, keep an eye on hardware and service utilization, etc. Apart from that, Kibana is also frequently used for security analysis and managing machine learning jobs. Needless to say, Kibana is an

incredibly powerful tool for visualizing, analyzing, and monitoring Elasticsearch data.