This course runs for a duration of 2 days.
The class will run daily from 7:30 AM CT to 3:30 PM CT.
Class Location: Virtual LIVE Instructor Led - Virtual Live Classroom.
Splunk is one of the first platforms to help make sense of log data. Splunk is not just a tool for IT Ops. It’s a tool for developers. In fact, it’s a tool for everyone who’s interested in using the power of data. There are a lot of use cases for Splunk, but first, you need to learn what it’s capable of and how to get the most of it.
If you have concerns about security and compliance, don’t worry. You can still be compliant while making life easier with Splunk. You’ll just need to give everyone visibility on what’s happening with your applications in real-time or for analysis purposes. And yes—you can do all of this without giving people access to the servers.
This two-day boot camp is designed to empower a wide range of technology workers with the knowledge and skills needed to take full advantage of Splunk. This Splunk training course is exercise-intensive and is for individuals looking to develop a deeper understanding of the tool. Our continuous hands-on lab classroom format and real-world practice scenarios cement your new skills with Splunk’s various applications and leave you prepared to properly collect, analyze and utilize your machine data.
Who Should Attend:
This Splunk training course is exercise-intensive and is designed for individuals looking to develop a deeper understanding of the tool. Individuals with the following titles will find this course beneficial:
Objectives
Part 1: Introduction to Splunk
Part 2: Indexes
Part 3: Splunk Architecture
Part 4: Search Processing Language
Part 5: Dashboard & Visualizations
Part 6: Alerts
Part 7: Scheduled Reports
Part 8: Putting All Pieces Together
Exercise: As a final lab, you’ll configure a typical scenario when using Splunk. You'll install and configure an NGINX, then the Splunk forwarder to collect logs in Splunk. The idea is that you can apply everything you've learned within the Bootcamp: creating searches, visualizations, dashboards, etc.
Technical requirements: Basic Linux administration and familiarity with using the command line. Basic networking concepts preferred.
*All lab exercises are run in a Linux environment. A Windows environment can be provided upon request.
