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Monitoring, Observability & SRECoreGuided practice

OpenTelemetry

Develop the skills to instrument a service and export correlated telemetry through a learning path centred on OpenTelemetry. Explore concepts, guided practice and an applied project.

6 modules6 topics24 hours
Course overview

Build practical OpenTelemetry skills.

What you’ll learn

Skills and knowledge developed in this course.

  • Signal model
  • Application instrumentation
  • Collector pipelines
  • Telemetry validation
  • Applied project: Instrument a service and export correlated telemetry
  • OpenTelemetry — validation and review

About this course

This course develops practical capability in OpenTelemetry. Its course-specific content covers Signal model, Application instrumentation, Collector pipelines, Telemetry validation, followed by an applied project focused on instrument a service and export correlated telemetry. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.

Who this is for

Administrators, developers and practitioners who work with OpenTelemetry or plan to take on responsibilities in this area.

Before you start

Basic computer literacy and a foundational understanding of monitoring, observability & sre. Prior experience with the named product helps with the practical exercises.

Applied learning outcome

Instrument a service and export correlated telemetry

Deliver instrument a service and export correlated telemetry. Use the module outcomes to state requirements, demonstrate a working result, test an expected failure or boundary case, and document assumptions and follow-up work.

Curriculum

Course content

6 modules · 6 topics

Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.

01

Signal model

  • Traces, metrics and logs
  • Resource attributes and semantic conventions

Practical exerciseApply signal model to the instrument a service and export correlated telemetry and capture the validation evidence.

02

Application instrumentation

  • SDK setup, spans and propagation
  • Context handling across service boundaries

Practical exerciseApply application instrumentation to the instrument a service and export correlated telemetry and capture the validation evidence.

03

Collector pipelines

  • Receivers, processors and exporters
  • Batching, filtering and sensitive-data controls

Practical exerciseApply collector pipelines to the instrument a service and export correlated telemetry and capture the validation evidence.

04

Telemetry validation

  • Trace a sample request end to end
  • Diagnose dropped signals and measure instrumentation overhead

Practical exerciseApply telemetry validation to the instrument a service and export correlated telemetry and capture the validation evidence.

05

Applied project: Instrument a service and export correlated telemetry

  • Define inputs, assumptions and acceptance criteria for: Instrument a service and export correlated telemetry.
  • Implement the project using signal model, application instrumentation, collector pipelines, telemetry validation.

Practical exerciseInstrument a service and export correlated telemetry.

06

OpenTelemetry — validation and review

  • Demonstrate the completed project against its acceptance criteria.
  • Exercise an invalid-input or failure scenario and document the observed result.

Practical exercisepresent the project evidence, limitations and a repeatable handover.

Technical references

These primary vendor, project or standards sources inform this independent IT Purview outline. Reference pages checked 25 October 2026; current provider documentation and exam objectives take precedence when versions change.

Your path through the course

From understanding to application.

Progress by learning milestone. The schedule is agreed around your starting level and learning goals.

  1. 01
    Learning milestone 1 In progress

    Set the context

    Signal model · Application instrumentation

    Establish the OpenTelemetry scope, baseline concepts and operating assumptions.
  2. 02
    Learning milestone 2 In progress

    Build the working skills

    Collector pipelines · Telemetry validation

    Apply the core OpenTelemetry techniques in the course lab and record the result.
  3. 03
    Learning milestone 3 In progress

    Validate and handle exceptions

    Check expected behavior, investigate a failure case and capture evidence for instrument a service and export correlated telemetry.
  4. 04
    Learning milestone 4 In progress

    Deliver the applied project

    Complete instrument a service and export correlated telemetry, explain key decisions and identify a practical next step.
India market guide

Career outlook after this learning path

Indicative annual pay

Typical roles this roadmap can support, with broad salary ranges by relevant work experience.

Role0–3 years3–7 years7–12+ years
SRE / Observability Engineer₹8–14 LPA₹18–32 LPA₹35–58 LPA

Ranges are indicative India-market compensation estimates in ₹ lakh per annum, not a salary promise. They reflect broad market guides and vary by location, employer, skills and role scope; the experience bands refer to relevant work experience, not time since training. Completing this course does not guarantee employment, a role, compensation or career progression. View market reference ↗

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