This course is designed for developers responsible for debugging their own applications, and for SREs responsible for troubleshooting performance issues. Splunk Log Observer is built primarily for DevOps teams working on applications built on modern tech stacks (containerized microservices). However, the course can be taken by anyone who wants to view recent log data in a no-code environment.

This 4.5-hour course describes how to use the tool to work with log data using the no-code user interface. Learn to create, save, and share search filters, and to investigate the shape of your log data. Learn to add log messages to dashboards. Analyze logs with aggregation functions and group by rules. Create rules to manipulate incoming data and generate synthetic metrics from log data.

All concepts are taught using lectures and scenario-based hands-on activities.

This single subject course targeted to developers enables you to manually instrument your applications to send traces to Splunk APM. Through in-person discussions and hands-on activities, learn to manually instrument applications to create spans and add metadata to spans. This course assumes familiarity with navigating Splunk APM which is covered in the course Using Splunk Application Performance Monitoring.

This lab-oriented class is designed to help you learn the fundamentals of instrumenting your code to send in traces and trace metadata. All hands-on labs are in Python and Java.

This 24-hour practical lab exercise is designed to take you through the tasks of a complete mock deployment. Each participant is given access to a specified number of Linux servers and a set of requirements. Participants then perform a mock deployment according to requirements which adhere to Splunk Deployment Methodology and best-practices.

This course is for experienced on-prem administrators and anyone needing to ramp-up on Splunk Cloud to get more knowledge and experience of managing Splunk Cloud instances.

The course discusses the differentiators between on-prem Splunk and the different Splunk Cloud offerings. Modules include topics on how to migrate data collection and ingest from on-prem Splunk to Splunk Cloud as well as highlighting Splunk Cloud specific differences and best practices to manage a productive Splunk SaaS deployment. For Splunk Administrators who have undertaken the System and Data Administration learning pathways, this course highlights key differences between Splunk Enterprise deployed on-premises and Splunk Enterprise Cloud to allow them to ramp up their data and system management skills to transition to Splunk Cloud. The hands-on lab provides access to and experience of managing a Splunk Cloud instance.