RETURNING SOON: Elastic Stack Bootcamp [1-Day]
Elastic Stack Bootcamp at a glance
Gain hands-on experience using the Elastic Stack (beats, logstash, elasticsearch, kibana) and learn how to implement them according to best practice.
€550 excl. VAT
1 day, 0900-1700
Classroom @Trifork Amsterdam
Course delivered in English by Eike Dehling
Developers, architects and infrastructure specialists who are looking to get a head start on their Elastic projects.
Elasticsearch and certainly the whole Elastic Stack are powerful tools to ingest, store and analyze your data. People all over the world are using Elasticsearch for applications such as product search, data analytics or monitoring. For centralized logging the Elastic Stack is even becoming the de-facto standard.
In this practical bootcamp, you will gain hands-on experience using these tools and learn to implement them according to best practices. You will work on a centralized logging use case during several practical lab sessions.
After this bootcamp you will be able to use these tools successfully in your own projects.
The bootcamp is given by Trifork employees with extensive experience with the Elastic Stack, ensuring you of the best practical advice.
- Overview of the Elastic Stack
- Hands-on experience using the Elastic Stack
- Practical tips and best practices from experts
- Get a head start on your Elasticsearch and Elastic Stack projects
1. Elastic Stack overview
2. Example use cases
3. Elastic Cloud
b. (Lab) setting up your cluster
a. Use cases: shippings logs, monitoring server health
b. Practical tips & architecture
c. (Lab) shipping logs
a. Overview of functionality
b. Exploring and visualize your data, create dashboards
c. (Lab) data visualization
6. Data transformation
a. Understanding Logstash and Ingest Node
b. Overview of applications
c. (Lab) extracting data from your logs
7. Going into production
a. Scaling up and sizing, best practices for the real world
b. (Lab) preparing for and operating a cluster at scale
About the trainer, Eike Dehling
Eike has around 4 years of hands-on experience with the Elastic stack, in applications ranging from centralized logging or service monitoring to terabyte scale real-time analytics on (social) media data. Eike’s specialities include performance tuning, scaling and operations.