How angshumanbasak/apachejmetertutorials works
1. This repository is a static documentation site for Apache JMeter and performance testing concepts. It is not an application with runtime business logic; the primary artifacts are HTML pages that serve as tutorial content.
2. The top-level site structure is simple: index.html is the entry point, and the other .html files are individual chapters/pages. The README mirrors this structure and acts as the human-readable table of contents for the site.
3. The content is organized into four clear educational subsystems:
- performance testing fundamentals,
- strategy and lifecycle,
- Apache JMeter usage,
- execution and results analysis.
Each module maps to one or more standalone HTML documents.
4. The pages are mostly independent, with navigation implied through hyperlinks rather than shared application state. That means the architecture is page-centric: each topic can be opened directly, and the user flows by clicking from one tutorial page to another.
5. index.html is the site’s front door and likely aggregates or links to the major sections listed in the README. The README itself functions as the conceptual sitemap and should be treated as the authoritative content outline when drawing the site hierarchy.
6. There is no evidence of a server-side backend, database, authentication layer, or API integration. The main boundary is between authored static content and the static hosting layer that serves those files.
7. The repository includes a GitHub Actions workflow at .github/workflows/static.yml, indicating automated static-site publishing. The likely flow is: commit HTML content → GitHub Actions runs validation/build/deploy steps → static files are published to a hosting target such as GitHub Pages.
8. The material is strongly tutorial-driven rather than tool-driven. JMeter-specific pages cover installation, scripting steps, recorder usage, non-GUI execution, execution order, and report analysis, which together form the practical JMeter workflow taught by the site.
9. The performance engineering sections provide the conceptual foundation for the JMeter tutorials. Topics like SLAs, workload modeling, Little’s Law, monitoring, and common performance problems frame how the tests should be designed and interpreted.
10. The main data flow in the repository is educational rather than computational: readers move from fundamentals → planning/modeling → JMeter implementation → execution/monitoring → HTML report analysis. This sequence is the site’s implicit architecture.
11. The only infrastructure concern that materially affects the repo is static site deployment. Because the content is HTML-only, the deployment model is straightforward and the operational boundary is limited to file hosting and workflow automation.
12. For an architecture diagram, represent this repo as:
- one static content source tree,
- one landing page,
- multiple topic pages grouped by learning stage,
- one GitHub Actions publishing pipeline,
- one static hosting destination.
No runtime services or persistent state need to be shown.
Main entry points: README.md README · PerformanceTestingIntroduction.html Intro · index.html Home · ApacheJMeterScriptingSteps.html Scripting
Components 19
Static content
HTML tutorial pages and site entry points.
Performance basics
Concepts that explain performance testing and workload design.
- Intro · Performance testing fundamentals and context.
PerformanceTestingIntroduction.html - Terminology · Core vocabulary used across the performance testing material.
PerformanceTestingTerminologies.html - Test types · Common categories of performance testing.
TypesOfPerformanceTesting.html - SLAs · Service-level targets that shape test goals.
PerformanceTestingSLAs.html - Workload · Workload modeling and Little's Law for test design.
WorkloadModelling&Little'sLaw.html - Monitoring · Observability and monitoring during performance tests.
PerformanceTestingMonitoring.html - Problems · Common performance issues and failure patterns.
CommonPerformanceProblems.html - Lifecycle · Performance testing strategy and delivery lifecycle.
PerformanceTestingLifeCycle.html
JMeter workflow
Pages that walk through Apache JMeter setup and use.
- Install · Installing Apache JMeter.
ApacheJMeterInstallation.html - Scripting · Creating and scripting JMeter test plans.
ApacheJMeterScriptingSteps.html - Recorder · Recording user actions into JMeter scripts.
RecordScriptsApacheJMeter.html - Execution order · How test elements execute within a JMeter plan.
TestElementsExecutionOrder.html
Execution and analysis
Running tests and interpreting results.
- Non-GUI mode · Command-line execution of JMeter tests.
JMeterNon-GUIModeCommand.html - Reports · HTML report analysis and interpretation.
AnalyseApacheJMeterHtmlReportAnalysis.html
Publishing
GitHub Actions deployment of the static site.
- Actions · GitHub Actions workflow for static site publishing.
.github/workflows/static.yml - Static host · The static hosting destination for the generated site.
Connections 23
- HTML site → README: outlined by · README acts as the conceptual sitemap for the site.
- HTML site → Home: front door · The index page is the primary landing page.
- README → Intro: covers · README surfaces the learning path through fundamentals.
- README → Lifecycle: covers · README includes the strategy and lifecycle section.
- README → Install: covers · README includes the JMeter usage section.
- README → Non-GUI mode: covers · README includes execution-oriented JMeter pages.
- Home → Intro: links to · Landing page points into the learning sections.
- Home → Install: links to · Landing page points into the JMeter workflow.
- Home → Reports: links to · Landing page points into results analysis.
- Intro → Terminology: builds on · Terminology supports the fundamentals pages.
- Intro → Test types: builds on · Testing types extend the introduction.
- Intro → SLAs: builds on · SLAs define the goals introduced here.
- SLAs → Workload: shapes · Targets inform workload modeling.
- Workload → Monitoring: feeds · Model assumptions are validated through monitoring.
- Monitoring → Problems: diagnoses · Observed signals are used to identify issues.
- Lifecycle → Scripting: guides · Strategy flows into implementation steps.
- Install → Scripting: enables · Installation precedes scripting and setup.
- Scripting → Recorder: supports · Recording is one path to build scripts.
- Scripting → Execution order: defines · Execution order explains plan behavior.
- Execution order → Non-GUI mode: prepares · Understanding execution order supports command-line runs.
- Non-GUI mode → Reports: produces · Non-GUI execution leads to report analysis.
- Actions → Static host: publishes to · GitHub Actions deploys the static site.
- HTML site → Actions: built by · Static content is published through the workflow.