What you'll learn
Fundamentals of Kibana
Securing Kibana (users, roles, and spaces)
Creating basic & advanced visualizations
Kibana Query Language (KQL)
Creating and interacting with dashboards
Reporting and Alerting
Basic understanding of Elasticsearch
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.
Who this course is for:
- Developers wanting to work with and visualize Elasticsearch data
About the instructor
My name is Bo Andersen and I am a software engineer from Denmark.
I currently work as the lead developer and partner at a startup company, apart from teaching here at Udemy. I have previously worked at a very successful company, operating one of the largest websites in Denmark, before deciding to teach software engineering. I have worked with programming for a decade and have a bachelor’s degree in computer science. I started out learning to code by building websites in PHP, but have since worked with many other technologies such as Elasticsearch, Logstash, Kibana, Beats, Java, Python, Docker, AWS, etc.
I have also been blogging about programming subjects for a number of years, so I encourage you to have a look at my website if you are curious.