Configuring Tracing and Profiling for Splunk APM
Upcoming Classes
Online
Instructor-led online training
Location | Feb 2023 | Mar 2023 | Apr 2023 | May 2023 | Jun 2023 | Jul 2023 | Aug 2023 |
---|---|---|---|---|---|---|---|
APAC Singapore - Virtual |
Feb 23 | ||||||
AMER Eastern Time - Virtual |
Mar 1 |
Apr 14 | |||||
AMER Pacific Time - Virtual |
Mar 17 |

Summary
This single subject course targeted to DevOps enables you to learn configuration techniques to send traces to Splunk APM. Through in-person discussions and hands-on activities, learn to deploy the Splunk OpenTelemetry Collector on a Linux host. Use the OpenTelemetry Collector to configure processor components to modify trace metadata. Use auto-instrumentation to send in traces without altering your code. Enable AlwaysOn profiling to monitor code performance. 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 configuring your code to send in traces and trace metadata. All hands-on labs are in Python and Java.
Description
- Deploy the Splunk OTel Collector
- Configure the Splunk OTel Collector processor components
- Use Auto-Instrumentation to Send Traces
- Add metadata to your traces
- Enable AlwaysOn Profiling
Objectives
Topic 1 – Deploy and Configure the Otel Collector
- Deploy the Splunk OTel Collector
- Configure the OTel Collector
Topic 2 – Auto-Instrument Applications To Send Traces
- Describe instrumentation options
- Use auto-instrumentation to send in traces
Topic 3 – Configure the OTel Collector to Modify Trace Attributes
- Describe the OTel Collector architecture
- Configure processor components to modify trace metadata
Topic 4 – Enable Splunk AlwaysOn Profiling
- Enable AlwaysOn Profiling in applications
Prerequisites
Required:
- Using Splunk Application Performance Monitoring
- Familiarity with using the command line terminal
Strongly recommended:
- Basic knowledge of programming languages (e.g. Python, Java)