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Load Testing & Performance Benchmarking (JMeter & k6) · 강의

Jenkins와 JMeter 통합

Jenkins CI/CD 파이프라인에서 JMeter 테스트 실행과 보고를 자동화합니다.

Jenkins와 JMeter 통합은(는) CoddyKit의 무료 Load Testing & Performance Benchmarking (JMeter & k6) 강의입니다. 이것은 4개 중 1번째 강의입니다. 아래에서 전체 강의를 무료로 읽을 수 있으며, 내장 코드 에디터와 24/7 AI 튜터와 함께 브라우저에서 직접 실습할 수 있습니다. 이 강의는 Load Testing & Performance Benchmarking (JMeter & k6) 학습 경로의 일부이며, 진행 상황이 웹과 CoddyKit 앱에 동기화됩니다. Load Testing & Performance Benchmarking (JMeter & k6) 강의에는 총 4개의 강의가 포함되어 있습니다.

이 강의의 일부는 아직 번역되지 않았으며 영어로 표시됩니다.

Automating Performance Tests

Welcome! In modern software development, speed and reliability are key. Continuous Integration/Continuous Delivery (CI/CD) pipelines help teams deliver software faster and more reliably.

Integrating performance tests into your CI/CD pipeline means you can automatically check for performance regressions with every code change, catching issues early.

Introducing Jenkins: Your CI Hub

Jenkins is a popular open-source automation server. It orchestrates various tasks in your CI/CD pipeline, from building code to running tests and deploying applications.

  • It's highly extensible with a vast plugin ecosystem.
  • It can be hosted on a server and accessed via a web interface.
  • It's perfect for automating repetitive tasks, including performance testing.

JMeter's Role in CI/CD

JMeter is a powerful tool for performance testing. To integrate JMeter into Jenkins, we need to run it in non-GUI mode (also known as headless mode).

Why non-GUI mode? Running JMeter's graphical interface consumes significant resources and isn't suitable for automated server environments. Non-GUI mode allows JMeter tests to execute efficiently from the command line.

Essential Jenkins Plugins

While Jenkins can execute any shell command, specific plugins enhance the integration experience for performance tests. The JMeter Performance Plugin is crucial.

  • It parses JMeter's raw test results (.jtl files).
  • It generates graphical reports and trends within Jenkins.
  • It allows you to set performance thresholds to fail builds automatically.

Creating a Jenkins Freestyle Project

To automate a JMeter test, you'll typically create a new Freestyle Project in Jenkins. This type of job provides a flexible way to configure build steps and post-build actions.

Steps:

  1. From the Jenkins dashboard, click 'New Item'.
  2. Enter a name for your project (e.g., 'JMeter-Performance-Test').
  3. Select 'Freestyle project' and click 'OK'.

Configuring the Build Environment

Before running JMeter, ensure your Jenkins agent has JMeter installed and accessible in its PATH, or provide the full path to the JMeter executable.

You'll also configure source code management (e.g., Git) to fetch your JMeter test plan (.jmx file) from your repository.

Executing JMeter via Shell Command

Within your Jenkins job configuration, add a 'Build Step' of type 'Execute shell' (or 'Execute Windows batch command' for Windows agents).

Here, you'll enter the command to run your JMeter test plan in non-GUI mode. Remember to specify the test plan (.jmx) and a results file (.jtl).

JMeter Command Example

Here's a typical JMeter command for a Jenkins build step. It runs a test, saves results, and generates an HTML report:

jmeter -n -t "${WORKSPACE}/my_test_plan.jmx" \
       -l "${WORKSPACE}/results.jtl" \
       -e -o "${WORKSPACE}/html_report"

Publishing Performance Reports

After the JMeter test completes, you want to see the results. Use a 'Post-build Action' to publish the reports.

Add 'Publish Performance test result report' (provided by the JMeter Performance Plugin). Configure it to read your .jtl file (e.g., results.jtl) from the workspace. This will display graphs and metrics directly in Jenkins.

Setting Performance Gates

A powerful feature of the Performance Plugin is the ability to define performance gates. These are thresholds that, if exceeded, will mark the Jenkins build as 'UNSTABLE' or 'FAILED'.

  • Example: Fail the build if average response time > 500ms.
  • Example: Mark as unstable if error rate > 1%.

This prevents performance regressions from reaching production.

Quick Check on Integration

When integrating JMeter into a Jenkins CI/CD pipeline, which mode should JMeter primarily run in to ensure efficient and automated execution?

Recap: JMeter with Jenkins

You've learned how to integrate JMeter performance tests into a Jenkins CI/CD pipeline. Key steps include running JMeter in non-GUI mode, using the JMeter Performance Plugin, configuring a Freestyle project with shell commands, and publishing results with performance gates.

Automating these tests helps catch performance issues early, ensuring your applications remain fast and reliable.

자주 묻는 질문

“Jenkins와 JMeter 통합” 강의는 무료인가요?

네 — “Jenkins와 JMeter 통합” 전체 내용을 이 웹사이트에서 무료로 읽을 수 있습니다. 인터랙티브하게 실습하려면(내장 코드 에디터와 24/7 AI 튜터), CoddyKit PRO로 업그레이드하면 Load Testing & Performance Benchmarking (JMeter & k6) 강의 전체를 잠금 해제할 수 있습니다. Load Testing & Performance Benchmarking (JMeter & k6) 강의에는 총 4개의 강의가 포함되어 있습니다.

“Jenkins와 JMeter 통합”에서 뭘 배우나요?

Jenkins CI/CD 파이프라인에서 JMeter 테스트 실행과 보고를 자동화합니다. 브라우저에서 직접 실행하는 실습 코드로 Load Testing & Performance Benchmarking (JMeter & k6)을(를) 배우며, 24/7 AI 튜터가 강의를 진행하면서 질문에 답변해줍니다.

Load Testing & Performance Benchmarking (JMeter & k6)을(를) 시작하는 데 경험이 필요한가요?

사전 경험은 필요하지 않습니다. CoddyKit의 Load Testing & Performance Benchmarking (JMeter & k6)은(는) 초급자부터 고급 학습자까지를 위해 구성되어 있으므로, 여기서 시작하거나 처음부터 시작할 수 있으며 자신의 속도대로 진행할 수 있습니다. 이것은 4개 중 1번째 강의입니다.

“Jenkins와 JMeter 통합” 강의는 얼마나 걸리나요?

대부분의 CoddyKit 강의는 약 5~10분이 소요됩니다. 각 강의는 간결하고 인터랙티브하여 꾸준한 진행이 가능하며, 웹과 앱에서 중단한 부분부터 바로 시작할 수 있습니다.

이 Load Testing & Performance Benchmarking (JMeter & k6) 강의에서 코드를 작성하고 실행할 수 있나요?

네. 모든 Load Testing & Performance Benchmarking (JMeter & k6) 강의에는 내장 코드 에디터가 포함되어 있으므로, 브라우저에서 바로 실제 코드를 작성하고 실행한 후 즉시 AI 피드백을 받을 수 있습니다 — 로컬 설정이 필요 없습니다.

이 강의의 모든 강의

  1. Jenkins와 JMeter 통합
  2. GitHub Actions에서 k6 사용
  3. 성능 게이트와 SLO
  4. CI에서의 추세 분석 및 기준선 설정
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