Performance Test Planning and Workload Modeling Overview

The Performance Test Planning and Workload Modeling Training Course is designed to provide participants with the knowledge and practical skills needed to plan effective performance testing activities and design realistic workload models for applications, systems, APIs, and enterprise platforms.

This course focuses on the early and critical stages of performance testing, including requirement gathering, scope definition, test strategy preparation, workload analysis, business transaction identification, user behavior modeling, test data planning, environment readiness, risk assessment, and performance acceptance criteria.

Participants will learn how to translate business usage patterns into measurable performance test scenarios and workload models that reflect real-world system demand. The course is suitable for teams responsible for ensuring application performance, scalability, stability, and production readiness.

 

Duration 2 Days – 14 hrs

 

Objectives

• Understand the role of performance test planning in software quality and production readiness.
• Identify performance testing objectives, scope, risks, and assumptions.
• Gather and analyze non-functional performance requirements.
• Define measurable performance acceptance criteria.
• Identify critical business processes and user journeys for testing.
• Understand different types of performance tests and when to use them.
• Design realistic workload models based on expected user behavior.
• Differentiate between concurrent users, simultaneous users, transactions per second, throughput, and arrival rates.
• Prepare test data, environment, and monitoring requirements.
• Define performance test entry and exit criteria.
• Create a performance test plan and workload model document.
• Communicate performance testing expectations to business, development, infrastructure, and operations teams.

 

Target Audience 

• Performance testers
• QA testers and QA leads
• Test managers
• Test analysts
• Business analysts
• Software developers
• DevOps engineers
• Site reliability engineers
• Application support teams
• Systems administrators
• Database administrators
• Infrastructure and operations teams
• Project managers involved in application delivery
• Technical leads responsible for performance validation
• Organizations planning to implement structured performance testing practices

 

Prerequisites 

• Basic understanding of software testing concepts
• Basic knowledge of web applications, APIs, or enterprise systems
• Familiarity with software development lifecycle or Agile delivery
• Basic awareness of performance testing is helpful but not required
• No prior hands-on experience with JMeter, LoadRunner, or other performance testing tools is required

 

Course Outline 

Day 1: Performance Test Planning Fundamentals 

Module 1: Introduction to Performance Test Planning

• What is performance test planning?
• Why planning is critical in performance testing
• Performance testing in SDLC, Agile, and DevOps
• Common causes of failed performance testing
• Performance testing roles and responsibilities
• Relationship between performance testing, capacity planning, and production readiness
• Key deliverables in performance test planning

 Module 2: Understanding Performance Testing Objectives

• Defining business and technical objectives
• Identifying performance risks
• Understanding application criticality
• Aligning test objectives with business goals
• Defining performance success criteria
• Understanding user experience expectations
• Setting realistic performance goals

 Module 3: Types of Performance Tests

• Baseline testing
• Load testing
• Stress testing
• Spike testing
• Endurance or soak testing
• Scalability testing
• Volume testing
• Capacity testing
• Reliability testing
• Selecting the right test type for the requirement

 Module 4: Gathering Non-Functional Requirements

• What are non-functional requirements?
• Performance requirements versus functional requirements
• Sources of performance requirements
• Business volume and transaction data
• Peak usage periods
• Service-level agreements
• Response time expectations
• Throughput expectations
• Availability and reliability expectations
• Common gaps in performance requirements

 Module 5: Defining Scope, Assumptions, and Constraints

• Defining in-scope and out-of-scope applications
• Selecting critical business transactions
• Identifying dependent systems and integrations
• Defining test environment limitations
• Identifying data limitations
• Documenting assumptions
• Documenting constraints
• Risk-based scope prioritization

 Module 6: Performance Test Planning Document

• Components of a performance test plan
• Test objectives
• Scope and exclusions
• Test approach
• Roles and responsibilities
• Test schedule
• Test environment requirements
• Test data requirements
• Monitoring requirements
• Risks and mitigation actions
• Entry and exit criteria

 

Day 2: Workload Modeling and Practical Application 

Module 7: Introduction to Workload Modeling

• What is workload modeling?
• Why workload modeling is important
• Real-world usage versus artificial load
• Workload model inputs
• User behavior patterns
• Business transaction mix
• Peak and normal usage profiles
• Common workload modeling mistakes

Module 8: Key Workload Modeling Concepts

• Concurrent users
• Simultaneous users
• Active users
• Named users
• Transactions per second
• Requests per second
• Throughput
• Think time
• Pacing
• Ramp-up and ramp-down
• Test duration
• Arrival rate model versus concurrency model

 Module 9: Designing Realistic Workload Scenarios

• Identifying user groups
• Mapping business processes
• Defining transaction distribution
• Determining user load per scenario
• Modeling peak-hour traffic
• Modeling batch jobs and background processes
• Modeling API and system-to-system traffic
• Designing normal load, peak load, and stress scenarios
• Creating workload scenario tables

 Module 10: Test Data, Environment, and Monitoring Planning

• Test data identification
• Data volume and uniqueness requirements
• Data privacy and masking considerations
• Test environment readiness
• Infrastructure capacity alignment
• Application configuration requirements
• Monitoring requirements
• Application, database, server, and network metrics
• Log collection and analysis planning

 Module 11: Entry Criteria, Exit Criteria, and Risk Management

• Defining entry criteria for performance testing
• Defining exit criteria and completion conditions
• Defining pass/fail criteria
• Managing test execution risks
• Handling unstable test environments
• Managing incomplete requirements
• Escalation and defect management process
• Retesting and validation after tuning

 Module 12: Practical Workshop

• Review sample business requirements
• Identify performance test objectives
• Define scope and assumptions
• Identify critical business transactions
• Create a sample workload model
• Define user load, transaction mix, ramp-up, pacing, and duration
• Prepare sample test data requirements
• Define monitoring requirements
• Prepare a basic performance test plan
• Present workload model and test approach for review