Instrumenting Applications for Splunk APM
Upcoming Classes
Online
Instructor-led online training
Location | Jul 2022 | Aug 2022 | Sep 2022 | Oct 2022 | Nov 2022 | Dec 2022 | Jan 2023 |
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APAC Singapore - Virtual |
Aug 11 |

Summary
This 1-day virtual course targeted to developers and DevOps enables you to instrument your applications to send traces to Splunk APM. Through in-person discussions and hands-on activities, learn to deploy the Splunk OpenTelemtry Connector on a Linux host. Use auto-instrumentation to send in traces without altering your code. Use manual instrumentation 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-orientated class is designed to help you learn the fundamentals of instrumenting your code to send in traces. All hands-on labs are in Python and Java.
This lab-orientated class is designed to help you learn the fundamentals of instrumenting your code to send in traces. All hands-on labs are in Python and Java.
Description
- Deploy and configure the Splunk OTel Connector
- Use Auto-instrumentation to Send Traces
- Manually instrument Applications to Send Traces
- Add metadata to your traces
Objectives
Module 1 – Deploy Splunk APM
- Deploy the Splunk OTel Connector
- Configure the OTel Connector
Module 2 – Auto-Instrument Applications To Send Traces
- Describe instrumentation options
- Use auto-instrumentation to send in traces
Module 3 – Manually instrument Application to Send Traces
- Manually create spans
- Add span tags
Module 4 – Configure the OpenTelemetry Collector
- Configure and deploy the OpenTelemetry Collector
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)