Ruby-JMeter
Apache JMeter
Ruby-JMeter | Apache JMeter | |
---|---|---|
2 | 25 | |
750 | 7,946 | |
-0.1% | 1.1% | |
0.0 | 9.3 | |
6 months ago | 9 days ago | |
Ruby | Java | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Ruby-JMeter
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Load Testing with Ruby-JMeter
Here comes the ruby-jmeter! An easy to use tool that helps you to write readable test plans, which leads to focusing on your simulator scenarios to become closer to real customer behaviours. Under the hood, it uses JMeter. The code below simulates 10 customers keep visiting Google while its being run.
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Load Testing: An Unorthodox Guide
JMeter is old and crusty and not at all friendly to work with. But I used it for years because it was really about the best we had. Today I don't wish it on anyone.
Ruby JMeter finally made JMeter easier to manage, but I haven't worked in a Ruby shop for years, and I'm not going to force everyone to learn Ruby just to do some load testing.
https://github.com/flood-io/ruby-jmeter
Then along came k6. It's developer-friendly and I've seen people actually enjoy using it. I recommend anyone considering JMeter also take a look at k6. They do a better job of selling it than I do:
https://k6.io
I am also Gatling-curious. Seems like an option for anyone in the JVM ecosystem.
https://gatling.io
Apache JMeter
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Ask HN: What are you using for load testing?
Usually, I would let organic users be my load test. However, I am working on a project that has an anticipated load on a new-to-my-team stack, so I'm looking into ways to load test.
I've seen tools like k6 (https://k6.io/), Artillery (https://www.artillery.io), and JMeter (https://jmeter.apache.org/).
I've been using Artillery, but it's hard to visualize the results.
What do you use?
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What is Load Testing? Complete Tutorial With Best Practices
Apache JMeter: This tool is an open-source application built on Java, designed specifically to test load functionality and performance. Developed by the Apache Software Foundation, JMeter is versatile, able to simulate loads across a wide range of services and protocols such as HTTP, HTTPS, JDBC, LDAP, and SOAP. With an extensible core that can be tailored with plugins, it provides the flexibility needed for different testing scenarios. Its intuitive GUI makes it easy for testers to design test plans and visualize the results in various ways.
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Lambda to S3: Better Reliability in High-Volume Scenarios
I'll use Apache JMeter to do this experiment:
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ssd + cpu vs nvme + premium cpu - benchmark results for wordpress
Thanks for the tip. Hows that compare to this tool? https://jmeter.apache.org/
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Mastering API Stress Testing With JMeter’s HTTP(S) Test Script Recorder And Postman Proxy
Apache JMeter: Download and install JMeter from the official website (https://jmeter.apache.org/). Java Development Kit (JDK): JMeter requires Java, so ensure you have the latest JDK installed on your system. Postman: Install Postman from the official website (https://www.postman.com/downloads/).
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GC, hands off my data!
The test scenario consists of querying for descriptions of different offers. During the test, I will collect data on memory and GC parameters using jConsole. I will run the test scenario using jMeter, which additionally will allow me to measure response times.
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Tell HN: Postman just wiped all my stuff
FYI some of our people internally use Jmeter. https://jmeter.apache.org/
It's not flashy so it probably wont get the standard "we are going to milk you for data" plan
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What's new in Apache JMeter 5.6?
Issue #5682Pull request #717 - Open Model Thread Group: avoid skipping rows from CSV Data Set Config
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Best Practices in Testing GraphQL APIs
Performance and load testing are essential parts of GraphQL API testing. It ensures APIs can handle expected traffic volumes and respond within acceptable timeframes. You can use tools like Apache JMeter or Gatling to generate realistic loads and evaluate the API's performance under different scenarios. Techniques like batched queries and caching can help mitigate this issue.
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2x m5a.xlarge EC2 servers reach 90% CPU usage and more or less freeze for 5 minutes when 100 users access at the exact same time.
JMeter https://jmeter.apache.org
What are some alternatives?
mutant - Automated code reviews via mutation testing - semantic code coverage.
Karate - Test Automation Made Simple
Parallel Tests - Ruby: 2 CPUs = 2x Testing Speed for RSpec, Test::Unit and Cucumber
TestNG - TestNG testing framework
vcr - Record your test suite's HTTP interactions and replay them during future test runs for fast, deterministic, accurate tests.
Cucumber - Cucumber for the JVM
Zapata - An Automatic Automated Test Writer
WireMock - A tool for mocking HTTP services
power_assert - Power Assert for Ruby
REST Assured - Java DSL for easy testing of REST services
timecop - A gem providing "time travel", "time freezing", and "time acceleration" capabilities, making it simple to test time-dependent code. It provides a unified method to mock Time.now, Date.today, and DateTime.now in a single call.
JUnit - A programmer-oriented testing framework for Java.