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Monitoring, Observability & SRECoreGuided practice

Capacity Planning

Develop the skills to forecast service capacity from measured demand through a learning path centred on Capacity Planning. Explore concepts, guided practice and an applied project.

6 modules6 topics24 hours
Course overview

Build practical Capacity Planning skills.

What you’ll learn

Skills and knowledge developed in this course.

  • Demand modelling
  • Resource baselines
  • Capacity experiments
  • Planning report
  • Applied project: Forecast service capacity from measured demand
  • Capacity Planning — validation and review

About this course

This course develops practical capability in Capacity Planning. Its course-specific content covers Demand modelling, Resource baselines, Capacity experiments, Planning report, followed by an applied project focused on forecast service capacity from measured demand. 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 Capacity Planning 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

Forecast service capacity from measured demand

Deliver forecast service capacity from measured demand. 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

Demand modelling

  • Traffic patterns and growth assumptions
  • Peak-to-average variation and uncertainty

Practical exerciseApply demand modelling to the forecast service capacity from measured demand and capture the validation evidence.

02

Resource baselines

  • CPU, memory, storage and network use
  • Service limits and utilisation thresholds

Practical exerciseApply resource baselines to the forecast service capacity from measured demand and capture the validation evidence.

03

Capacity experiments

  • Load steps and saturation points
  • Headroom, scaling delays and failure capacity

Practical exerciseApply capacity experiments to the forecast service capacity from measured demand and capture the validation evidence.

04

Planning report

  • Build a forecast with explicit assumptions
  • Recommend scaling triggers and revisit dates

Practical exerciseApply planning report to the forecast service capacity from measured demand and capture the validation evidence.

05

Applied project: Forecast service capacity from measured demand

  • Define inputs, assumptions and acceptance criteria for: Forecast service capacity from measured demand.
  • Implement the project using demand modelling, resource baselines, capacity experiments, planning report.

Practical exerciseForecast service capacity from measured demand.

06

Capacity Planning — 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

    Demand modelling · Resource baselines

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

    Build the working skills

    Capacity experiments · Planning report

    Apply the core Capacity Planning 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 forecast service capacity from measured demand.
  4. 04
    Learning milestone 4 In progress

    Deliver the applied project

    Complete forecast service capacity from measured demand, 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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