Performance Testing Fundamentals Using Apache JMeter

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Course Description

Performance Testing Fundamentals Using Apache JMeter Overview

This four-day, hands-on training course equips QA testing professionals with the foundational knowledge and practical skills required to plan, design, execute, monitor, and analyze basic performance tests using Apache JMeter.

Participants will learn the different types of performance testing, including baseline, load, stress, spike, endurance, volume, scalability, and capacity testing. They will understand when each test type should be used and how it supports performance-risk assessment and system-readiness decisions.

Using standard training applications and sample APIs, participants will build JMeter test plans, create realistic workloads, apply parameterization and correlation, execute controlled tests, and analyze key performance indicators such as response time, throughput, latency, error rate, and percentile results.

The course emphasizes team-based exercises and practical scenarios suitable for a single QA testing team. By the end of the training, participants should be able to conduct basic performance testing independently, interpret JMeter reports, identify potential performance problems, and communicate findings to developers, technical teams, and business stakeholders.

Duration 4 Days – 28 hrs.

Objectives

Explain the purpose and business value of performance testing.
Differentiate functional testing from performance testing.
Identify the appropriate type of performance test for a given objective.
Explain baseline, load, stress, spike, endurance, volume, scalability, and capacity testing.
Identify performance requirements and measurable acceptance criteria.
Understand workload models, user journeys, concurrency, pacing, and transaction volume.
Install and configure Apache JMeter.
Navigate the JMeter interface and understand its major components.
Create and organize basic JMeter test plans.
Record or manually create HTTP and HTTPS test scripts.
Test standard web applications and REST APIs.
Use thread groups, samplers, controllers, timers, assertions, and listeners.
Parameterize test data using external files.
Apply basic correlation to handle dynamic data.
Add validation and error checking to test scripts.
Configure realistic user loads, ramp-up periods, loops, and test durations.
Execute performance tests safely and systematically.
Monitor test execution and identify scripting or application errors.
Generate and interpret JMeter reports.
Analyze response time, throughput, latency, error rate, percentiles, and transaction results.
Differentiate application problems from test-script or load-generator limitations.
Identify basic performance bottlenecks and areas requiring further investigation.
Document test results, observations, risks, and recommendations.
Perform an end-to-end basic performance-testing exercise as a QA team.

Target Audience

Manual QA testers
Software test engineers
QA analysts
Junior performance testers
Test automation engineers
Quality engineers
Software developers involved in performance validation
Technical support and application support personnel
QA team leads
Test leads and test coordinators
Professionals transitioning into performance testing

Prerequisites

Basic knowledge of software testing concepts.
Familiarity with test cases, test scenarios, defects, and expected results.
Basic understanding of web applications and client-server systems.
Basic knowledge of HTTP methods such as GET, POST, PUT, and DELETE is recommended.
Basic familiarity with APIs, JSON, HTML, or browser developer tools is helpful but not mandatory.
Basic spreadsheet skills for reviewing and organizing test results.
A laptop with administrator rights or preinstalled training software.
Reliable internet or network access to the designated training applications.
No previous JMeter or programming experience is required.

Technical Requirements:

Each participant should have:

Apache JMeter installed
A compatible Java runtime
A supported web browser
Text editor or development editor
Spreadsheet application
Access to the standard training web application
Access to sample REST API endpoints
Permission to access the designated training environment
Sufficient local processing power and memory for basic test execution

All exercises must be conducted only against authorized training applications and environments. Participants should not run load tests against production systems or public websites without formal permission.

Course Outline

Day 1: Performance-Testing Fundamentals and JMeter Essentials

Module 1: Introduction to Performance Testing

What is performance testing?
Purpose and business value
Functional versus performance testing
Performance testing within the software-development lifecycle
Shift-left performance testing
Roles and responsibilities
Common performance risks
Performance-testing limitations
Testing in development, test, staging, and production-like environments
Importance of authorization and test-environment protection

Module 2: Types of Performance Testing

Baseline testing
Load testing
Stress testing
Spike testing
Endurance or soak testing
Volume testing
Scalability testing
Capacity testing
Failover and resilience testing overview
Selecting the appropriate test type
Combining different test types in a testing strategy

Module 3: Performance Requirements and Metrics

Business and technical requirements
Service-level agreements
Service-level objectives
Performance acceptance criteria
Response time
Latency
Throughput
Transactions per second
Requests per second
Concurrent and active users
Error rate
Availability
Average versus median
Percentiles: P90, P95, and P99
Resource-utilization overview
Establishing baselines and targets

Module 4: Introduction to Apache JMeter

Apache JMeter capabilities and limitations
JMeter architecture
Installing and launching JMeter
Understanding the graphical user interface
Test Plan and WorkBench concepts
Thread groups
Samplers
Logic controllers
Configuration elements
Timers
Assertions
Pre-processors and post-processors
Listeners
Saving and organizing test plans

Hands-on Exercises

Install or validate the JMeter environment.
Explore the JMeter interface.
Create the first HTTP test plan.
Send requests to a standard training application.
Add basic assertions and listeners.
Review initial response-time and error results.

Day 2: JMeter Test-Script Development

Module 5: Creating Web and API Test Scripts

Understanding HTTP requests and responses
HTTP request methods
Request headers and content types
Query parameters
Form data
Request bodies
Cookies and sessions
Testing REST APIs
Working with JSON responses
Organizing requests into business transactions
Recording versus manually creating scripts

Module 6: Building Maintainable Test Plans

Naming conventions
Test-plan structure
Test fragments
Reusable components
HTTP Request Defaults
HTTP Header Manager
Cookie Manager
Cache Manager
User-defined variables
Transaction Controller
Simple, Loop, If, and While Controllers
Separating scripts, data, and configuration
Test-script documentation

Module 7: Parameterization and Test Data

Why parameterization is required
Static versus dynamic data
Using CSV Data Set Config
Creating test-data files
Unique and reusable test data
Sharing and recycling data
Data exhaustion
Managing accounts and credentials
Protecting sensitive test information

Module 8: Correlation and Dynamic Values

Understanding correlation
Identifying dynamic values
Extracting data from responses
Regular Expression Extractor
JSON Extractor
Boundary Extractor
Reusing extracted values
Session and authentication tokens
Debugging extracted variables
Basic correlation troubleshooting

Hands-on Exercises

Create a multi-step user journey.
Submit data to a training web application.
Build a basic API test.
Parameterize users and business data.
Extract and reuse a dynamic value.
Add transaction names and response assertions.
Validate the complete script before applying load.

Day 3: Workload Modelling and Test Execution

Module 9: Workload Modelling

Understanding production usage
Identifying critical business transactions
User profiles and workload distribution
Concurrent versus total users
Transactions per hour
Think time and pacing
Ramp-up and ramp-down
Iterations and duration
Peak and normal workloads
Open and closed workload concepts
Creating a basic workload model
Assumptions and limitations

Module 10: Configuring Load Scenarios in JMeter

Thread Group settings
Number of users or threads
Ramp-up period
Loop count
Duration and scheduling
Timers and realistic user behaviour
Transaction distribution
Test-data allocation
Assertions under load
Handling time-outs
Configuring controlled test scenarios

Module 11: Executing Performance Tests

Script validation before testing
Smoke and shakedown tests
Baseline testing
Gradual load increases
Load-test execution
Stress-test execution
Spike-test demonstration
Endurance-test planning
Running JMeter in GUI mode for scripting
Running JMeter in non-GUI mode for load execution
Command-line execution
Saving test results
Stopping a test safely
Monitoring errors during execution

Module 12: Test Environment and Monitoring Fundamentals

Test-environment readiness
Production-like environment considerations
Network and data dependencies
Load-generator resources
Server-side monitoring overview
CPU, memory, disk, and network indicators
Application and database monitoring overview
Coordinating with developers, infrastructure teams, and database administrators
Distinguishing application issues from test-tool limitations
Avoiding misleading test results

Hands-on Exercises

Create a basic workload model.
Configure users, ramp-up, duration, and pacing.
Execute a script-validation test.
Run baseline and controlled load tests.
Execute JMeter in non-GUI mode.
Capture results and test observations.
Compare results from different workload levels.

Day 4: Results Analysis, Reporting, and Practical Assessment

Module 13: Understanding JMeter Results

Sample and transaction results
Response time
Connect time
Latency
Throughput
Error percentage
Data received and sent
Active threads
Average, minimum, and maximum results
Median and percentile results
Interpreting P90, P95, and P99
Understanding outliers
Reading JMeter listeners
Generating the HTML Dashboard Report

Module 14: Performance Analysis

Comparing results with acceptance criteria
Baseline versus load results
Identifying performance degradation
Recognizing saturation points
Response-time trends
Throughput trends
Error patterns
Correlating client-side and server-side results
Identifying possible application, database, infrastructure, or network bottlenecks
Recognizing script and load-generator problems
Avoiding incorrect conclusions
Determining when additional investigation is required

Module 15: Performance-Test Reporting

Components of a performance-test report
Test objectives and scope
Environment and application details
Workload model
Test data and assumptions
Results and observations
Graphs and tables
Acceptance-criteria evaluation
Defects and risks
Bottleneck findings
Limitations
Recommendations
Executive versus technical reporting
Presenting results to stakeholders

Module 16: Basic Performance-Testing Workflow

Requirements gathering
Test planning
Environment preparation
Script development
Script validation
Workload modelling
Test execution
Monitoring
Results analysis
Defect reporting
Retesting
Final reporting and sign-off
Maintaining reusable JMeter assets

Final Team-Based Practical Assessment

Review a sample application scenario.
Identify the appropriate performance-test type.
Define basic performance objectives and acceptance criteria.
Select critical business transactions.
Develop a JMeter test plan.
Add parameterization, correlation, timers, and assertions.
Create a basic workload model.
Execute baseline and load tests.
Generate a JMeter HTML report.
Analyze response time, throughput, percentiles, and errors.
Identify potential performance concerns.
Prepare and present a concise performance-test report.

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Internal auditors and operational compliance personnel.
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Prerequisites

Basic familiarity with warehouse, logistics, or inventory activities.
General understanding of business processes and operational documentation.
Basic numerical skills, including percentages and simple calculations.
Basic spreadsheet skills are helpful.
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Course Outline

Day 1: Warehouse Processes, Layout, and Storage Controls Module 1: Warehouse Operations and Process Controls

Warehouse roles within the supply chain.
End-to-end flow: receiving, put-away, storage, replenishment, picking, packing, and dispatch.
Physical stock movement and corresponding system transactions.
Responsibilities, authorization, and segregation of duties.
Common operational weaknesses and audit evidence.

Module 2: Warehouse Layout and Storage Systems

Functional zones, movement paths, and space utilization.
Receiving, storage, picking, staging, and dispatch areas.
Storage options: floor stacking, shelving, pallet racking, and bin storage.
Fixed and dynamic location systems.
Product slotting based on movement, size, handling needs, and compatibility.
Layout bottlenecks and their effects on productivity and inventory control.

Module 3: Receiving and Put-Away

Purchase orders, delivery documents, and expected receipts.
Quantity, condition, and item identification checks.
Recording shortages, overages, damage, and discrepancies.
Controls for acceptance, quarantine, and release.
Put-away rules and location confirmation.
Traceability through labels, barcodes, lot numbers, and serial numbers.
Timely recording of receipts and stock movements.

Module 4: Storage, Stock Rotation, and Replenishment

Storage discipline and location integrity.
FIFO and FEFO principles, applications, and limitations.
Batch, lot, and expiry-date management.
Controls for slow-moving, obsolete, damaged, and expired stock.
Replenishment of picking locations.
Supervision and review of stock rotation compliance.

Day 2: Order Fulfillment and Inventory Accuracy Module 5: Picking Strategies and Order Fulfillment

Discrete, batch, zone, and wave picking.
Selecting picking strategies for different order profiles.
Pick paths, location sequencing, and travel reduction.
Replenishment coordination and stock availability.
Picking verification and error prevention.
Packing, staging, and dispatch confirmation.
Handling short picks, substitutions, cancellations, and returns.

Module 6: Inventory Records and Accuracy Controls

Item master data, units of measure, and location records.
On-hand, available, allocated, and quarantined stock.
Transaction controls for receipts, transfers, issues, returns, and adjustments.
Common causes of physical and system stock mismatches.
Barcode scanning and WMS control points.
Inventory reconciliation and supporting documentation.
Measuring inventory accuracy and interpreting discrepancies.

Module 7: Cycle Counting and Physical Inventory

Cycle counting versus full physical inventory.
ABC classification and risk-based count priorities.
Count frequency based on value, movement, and discrepancy history.
Count preparation, blind counting, and movement controls.
Recounts, variance investigation, and adjustment approval.
Root cause analysis and corrective action follow-up.
Reviewing the effectiveness of the counting program.

Module 8: Shrinkage Reduction and Inventory Protection

Sources of shrinkage: loss, damage, theft, misplacement, and recording errors.
Access controls and accountability for stock movements.
Controls for high-value and sensitive inventory.
Returns, write-offs, scrap, and disposal controls.
Exception reporting and unusual transaction patterns.
Investigating recurring losses and unexplained adjustments.
Preventive and detective controls for shrinkage reduction.

Day 3: Performance Management, Process Review, and Improvement Module 9: Warehouse Productivity and Inventory KPIs

Receiving productivity and dock-to-stock time.
Put-away productivity and replenishment performance.
Picking productivity and order accuracy.
Inventory accuracy and cycle count variance.
Space utilization and storage capacity.
Shrinkage, damage, and expiry indicators.
Defining KPI formulas, data sources, and reporting boundaries.
Interpreting trends while balancing speed, accuracy, and service.

Module 10: Supervising and Auditing Warehouse Processes

Process mapping and identification of critical control points.
Reviewing procedures against actual warehouse practices.
Tracing transactions from documents to systems and physical stock.
Reviewing approvals, access rights, and segregation of duties.
Identifying control gaps and recurring process exceptions.
Documenting findings with clear supporting evidence.
Prioritizing corrective actions and tracking closure.

Module 11: Warehouse Improvement Planning

Identifying bottlenecks, unnecessary movement, and rework.
Improving layout, slotting, and picking arrangements.
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Standardizing transaction recording and exception handling.
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Monitoring results and sustaining operational improvements.

Module 12: Capstone — Warehouse Operations and Inventory Improvement Plan

Review a warehouse scenario containing layout, transaction, inventory, and performance information.
Identify weaknesses across receiving, put-away, storage, picking, and dispatch.
Recommend appropriate FIFO or FEFO controls.
Develop a cycle counting and inventory reconciliation plan.
Propose controls to reduce shrinkage and improve traceability.
Select relevant KPIs and define their calculation and reporting requirements.
Produce a prioritized improvement plan with responsibilities and expected outcomes.

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Performance Testing Fundamentals Using Apache JMeter

Performance Testing Fundamentals Using Apache JMeter Overview

This four-day, hands-on training course equips QA testing professionals with the foundational knowledge and practical skills required to plan, design, execute, monitor, and analyze basic performance tests using Apache JMeter.

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