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Instrumenting Applications for Splunk APM

Instrumenting Applications for Splunk APM teaches developers and DevOps engineers how to manually and automatically instrument applications to send traces to Splunk APM. This course solves the critical challenge of achieving full observability in complex microservices environments, where 78% of organizations report significant delays in issue resolution without proper tracing. Through hands-on labs in Java and Python, learners gain skills to deploy the OpenTelemetry Collector, create spans, and add metadata.

This course prepares learners for the Splunk Certified APM Specialist (SPLK-2004) exam, which validates expertise in application performance monitoring. Koenig Solutions offers 30-day lab access, allowing learners to practice instrumentation techniques in a real environment. Mastering these skills enables professionals to reduce mean time to resolution, improve application performance, and advance into senior observability roles.

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Course Overview

The Instrumenting Applications for Splunk APM course by Splunk is designed for developers, DevOps engineers, and site reliability engineers (SREs) who need to monitor and troubleshoot microservices-based applications in cloud environments. This training provides in-depth knowledge of distributed tracing, span creation, and trace metadata management within the Splunk Observability Cloud. Participants will gain expertise in manual instrumentation techniques to enhance application visibility and performance monitoring. With demand for Splunk skills rising—evidenced by over 1,055 active job postings and strong adoption among top tech roles like Software Engineer and SRE—this course equips professionals with critical observability competencies required in modern IT environments.

Students engage with core components of Splunk APM, including the OpenTelemetry Collector, trace and span modeling, tags, and MetricSets, using real-time lab environments. The hands-on labs are conducted in Node.js and Java, where learners manually instrument applications to generate traces, add metadata, and enable interoperability across services. Through guided exercises, participants build custom dashboards, configure detectors for APM metrics, and perform root cause analysis on simulated performance issues. These practical experiences mirror real-world scenarios such as identifying latency bottlenecks in distributed systems and ensuring end-to-end visibility across complex service topologies.

This course prepares learners for Splunk certification pathways related to Observability Cloud, enhancing career advancement in high-paying roles such as DevOps Engineer and SRE, where the median salary reaches $162,750. Koenig Solutions supports this learning journey with Guaranteed-to-Run classes, official Splunk courseware, and expert-led training that ensures hands-on mastery. By completing the Instrumenting Applications for Splunk APM program, professionals position themselves at the forefront of observability-driven operations, ready to lead in organizations leveraging Splunk’s full-stack monitoring capabilities.

What You'll Learn

Deploy the Splunk OpenTelemetry (OTel) Connector on Linux to seamlessly collect application data for Splunk APM, ensuring reliable trace data ingestion.
Configure the OpenTelemetry Collector specifically for Splunk APM to optimize trace collection and improve observability across your distributed systems.
Use auto-instrumentation with Splunk APM to automatically send detailed traces from your applications, reducing manual effort and increasing monitoring accuracy.
Manually create spans within your applications to capture custom transactions and improve trace granularity in Splunk APM.
Add metadata and tags to spans in Splunk APM to enhance trace context, facilitate faster troubleshooting, and enable detailed analytics.
Enable interoperability between distributed applications in Splunk APM to ensure comprehensive visibility, improve system performance, and streamline troubleshooting across complex environments.

Prerequisites

Recommended knowledge before taking this course
  • Experience using Splunk Application Performance Monitoring (Splunk APM) or similar tools
  • Familiarity with navigating the Splunk APM interface for effective monitoring
  • Basic command line skills for troubleshooting and configuration
  • Programming knowledge in Java or Node.js to implement instrumentation
  • Understanding of distributed tracing concepts such as traces, spans, and metadata
  • Knowledge of OpenTelemetry instrumentation principles for comprehensive application monitoring
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Certification Exam

Everything you need to know about the Instrumenting Applications for Splunk APM certification exam

Exam Details
Exam Name
Instrumenting Applications for Splunk APM
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Splunk APM Instrumentation
Define application instrumentation concepts Explain distributed traces and spans Identify Splunk APM use cases Understand OpenTelemetry framework basics Navigate Splunk APM user interface Recognize effective instrumentation strategies Describe trace context propagation methods Review course lab environment setup
2
Day 2– Automated Splunk APM Deployment
Deploy Splunk OTel Collector components Configure OTel Collector settings efficiently Enable auto-instrumentation agents for apps Verify real-time trace data ingestion Monitor critical service performance metrics Validate automated span generation accuracy Troubleshoot common missing trace issues Adjust sampling configurations for performance
3
Day 3– Manual Instrumentation for Splunk APM
Manually create custom span objects Add metadata using span tags Set specific span attributes and events Capture application exceptions in spans Implement robust distributed tracing logic Use manual APIs in application code Time critical code execution sections Validate manual trace output quality
4
Day 4– Integration and Trace Interoperability
Enable cross-service interoperability workflows Propagate trace context across services Integrate with external monitoring systems Bridge diverse instrumentation method types Ensure standard format compatibility protocols Test end-to-end trace visibility metrics Debug complex context propagation issues Optimize trace continuity across environments
5
Day 5– Advanced Splunk APM Configuration
Customize OpenTelemetry Collector pipelines Process traces using advanced processors Export data to Splunk backend systems Secure OTel components for production Scale instrumentation in production environments Perform precise language-specific tuning Conduct multi-language labs (Java, Python) Validate full trace pipeline integrity

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

72%

of Instrumenting Applications for Splunk APM certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Instrumenting Applications for Splunk APM certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • APM Engineer
  • Observability Engineer
  • DevOps Engineer
  • Site Reliability Engineer (SRE)
  • Application Performance Analyst
  • Cloud Monitoring Specialist

Companies Hiring

5,000+
Cisco Splunk Accenture Deloitte Wipro TCS Infosys Capgemini

and 5,000+ organizations worldwide seeking Instrumenting Applications for Splunk APM certified professionals

Real Transformations

Course Student Reviews

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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

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  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

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    Cloud Solutions Architect

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  • ★★★★★

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    Head of L&D, UK Enterprise

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

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    AI Engineer

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  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
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