Performance Engineering
Develop the skills to produce a repeatable application performance assessment through a learning path centred on Performance Engineering. Explore concepts, guided practice and an applied project.
Build practical Performance Engineering skills.
Skills and knowledge developed in this course.
- Performance requirements
- Test design
- Bottleneck analysis
- Improvement verification
- Applied project: Produce a repeatable application performance assessment
- Performance Engineering — validation and review
About this course
This course develops practical capability in Performance Engineering. Its course-specific content covers Performance requirements, Test design, Bottleneck analysis, Improvement verification, followed by an applied project focused on produce a repeatable application performance assessment. 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 Performance Engineering or plan to take on responsibilities in this area.
Before you start
Working knowledge of monitoring, observability & sre and practical familiarity with the named platform or subject. Review the course topics before enrolment to confirm the lab starting point.
Produce a repeatable application performance assessment
Deliver produce a repeatable application performance assessment. 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.
Course content
Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.
01Performance requirements
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- User journeys and latency objectives
- Workload shape, concurrency and test boundaries
Practical exerciseApply performance requirements to the produce a repeatable application performance assessment and capture the validation evidence.
02Test design
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- Load, stress and endurance scenarios
- Warm-up, datasets and measurement validity
Practical exerciseApply test design to the produce a repeatable application performance assessment and capture the validation evidence.
03Bottleneck analysis
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- Application, database and infrastructure signals
- Profiling evidence and queueing effects
Practical exerciseApply bottleneck analysis to the produce a repeatable application performance assessment and capture the validation evidence.
04Improvement verification
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- Compare baseline and changed behaviour
- Check errors, regressions and rollback conditions
Practical exerciseApply improvement verification to the produce a repeatable application performance assessment and capture the validation evidence.
05Applied project: Produce a repeatable application performance assessment
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- Define inputs, assumptions and acceptance criteria for: Produce a repeatable application performance assessment.
- Implement the project using performance requirements, test design, bottleneck analysis, improvement verification.
Practical exerciseProduce a repeatable application performance assessment.
06Performance Engineering — validation and review
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- 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.
From understanding to application.
Progress by learning milestone. The schedule is agreed around your starting level and learning goals.
- 01Learning milestone 1 In progress
Set the context
Performance requirements · Test design
Establish the Performance Engineering scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Bottleneck analysis · Improvement verification
Apply the core Performance Engineering techniques in the course lab and record the result. - 03Learning milestone 3 In progress
Validate and handle exceptions
Check expected behavior, investigate a failure case and capture evidence for produce a repeatable application performance assessment. - 04Learning milestone 4 In progress
Deliver the applied project
Complete produce a repeatable application performance assessment, explain key decisions and identify a practical next step.
Career outlook after this learning path
Typical roles this roadmap can support, with broad salary ranges by relevant work experience.
| Role | 0–3 years | 3–7 years | 7–12+ 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 ↗