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Apache ab VS locust

Compare Apache ab VS locust and see what are their differences

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Apache ab logo Apache ab

Apache ab is a tool for benchmarking Apache Hypertext Transfer Protocol (HTTP) server.

locust logo locust

An open source load testing tool written in Python.
  • Apache ab Landing page
    Landing page //
    2019-10-18
  • locust Landing page
    Landing page //
    2021-10-11

Apache ab features and specs

  • Ease of Use
    Apache ab is simple and straightforward to use, making it accessible for users who need to quickly perform a basic load test on their web servers.
  • Quick Installation
    Being part of the Apache HTTP Server Project, ab can be easily installed as part of the Apache suite, allowing for rapid setup on systems that already have Apache installed.
  • Lightweight Tool
    As a command-line tool, Apache ab has low overhead and is lightweight, making it suitable for running quickly without significantly affecting the host system's performance.
  • Basic Benchmarking
    Apache ab allows users to measure the performance of web servers with basic metrics like requests per second and time per request, useful for initial performance assessments.

Possible disadvantages of Apache ab

  • Limited Features
    Apache ab lacks advanced testing features such as simulating complex user behavior or supporting advanced web protocols beyond HTTP/1.x, limiting its applicability for comprehensive performance testing.
  • Single URL Testing
    It can only test one URL at a time, which can be a significant limitation when trying to benchmark websites that require testing multiple endpoints simultaneously.
  • No GUI
    As a purely command-line tool, Apache ab does not provide a graphical user interface, which can be challenging for users who prefer or require a visual interface for operations and data analysis.
  • Potential for Bias
    Since it is designed for basic testing, results from Apache ab might not reflect real-world user interactions accurately, potentially leading to biased or incomplete performance insights.

locust features and specs

  • Scalability
    Locust is designed to distribute the load tests across multiple machines, allowing for high scalability and the ability to simulate millions of users.
  • Python-based
    The tool is written in Python, which makes it highly flexible and suitable for those who are familiar with the language. You can write custom test scenarios easily.
  • Web-based UI
    Locust provides a user-friendly web-based interface that makes it easy to monitor and control the test execution in real-time.
  • Real-time monitoring
    During test execution, you get real-time statistics and charts that help in monitoring the performance and load.
  • Open-source
    Being an open-source tool, Locust allows for community contributions and is free to use, which helps in continuous improvement and support from the user base.

Possible disadvantages of locust

  • Setup Complexity
    Initial setup can be somewhat complex, especially for large scale or distributed tests. Requires experience with Python and potentially other infrastructure setups.
  • Resource Intensive
    Locust can be resource-intensive, requiring significant compute resources, particularly when simulating large numbers of users.
  • Steeper Learning Curve
    Despite its flexibility, the requirement to write test scenarios in Python may present a learning curve for users not familiar with programming.
  • Limited Protocol Support
    Primarily designed for HTTP/HTTPS protocols, Locust might not be suitable for load testing applications that use other protocols without additional customization.
  • Dependence on External Libraries
    While the use of Python offers flexibility, it also means that you might need to rely on external libraries and tools, which can introduce dependency management issues.

Apache ab videos

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locust videos

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Locust review - GTA Online guides

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Category Popularity

0-100% (relative to Apache ab and locust)

Apache ab

locust

Software Development
100 100%
Software Development
0% 0
Monitoring Tools
14 14%
Monitoring Tools
86% 86
Resource Profiling And Monitoring
100 100%
Resource Profiling And Monitoring
0% 0
Website Testing
0 0%
Website Testing
100% 100

User comments

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Social recommendations and mentions

Based on our record, locust should be more popular than Apache ab. It has been mentiond 61 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache ab mentions (23)

  • Maximizing Laravel's potential: Strategies for high-performance optimization
    Benchmarking: Benchmarking is the process of testing the performance of your application under a specific workload or set of conditions. You can use tools like Apache Bench or Siege to simulate load on your application and measure how it performs. - Source: dev.to / over 1 year ago
  • Python Networking: Servers
    While the server creation is still somewhat more imperative in nature, client connections are now handled via an object which inherits off socketserver.BaseRequestHandler. This requires the implementing class to define a handle() method, which for TCP will expose self.request to hold a socket referencing the connection. Now to show multiple connections working I'll utilize the Apache HTTP server benchmarking tool.... - Source: dev.to / almost 2 years ago
  • Introduction to memory management in Node.js applications
    Using the example above, I’ll send some traffic to the endpoint using Apache Benchmark. - Source: dev.to / almost 2 years ago
  • Is there any open source tool for testing load on website
    Apache Bench aka "ab" ab -n 1000 -c 100 http://localhost:3000/ 1000 requests with a concurrency of 100 https://httpd.apache.org/docs/2.4/programs/ab.html. - Source: Hacker News / about 2 years ago
  • Has anyone ever performed a load test on a Wordpress site ?
    Apache Testbench is an option. It's a cli tool that simulate some level of traffic. Source: about 2 years ago
View more

locust mentions (61)

  • 3 Types of Chaos Experiments and How To Run Them
    Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / 30 days ago
  • Outgrowing Postgres: How to identify scale problems
    Use load testing tools like Apache JMeter, Gatling, or Locust to measure your application's throughput under various loads and compare it to historical data. - Source: dev.to / 4 months ago
  • Five Advanced Techniques to Improve Automated Testing by 50%
    You should also incorporate performance testing into your daily builds to catch performance regressions early. For this, you can use Locust for load testing. You can also implement performance budgets in your CI/CD pipeline. This will allow you to fail builds that don't meet performance criteria, ensuring performance doesn't degrade over time. - Source: dev.to / 5 months ago
  • Why your FastAPI (or Flask) App performs poorly with high loads
    These tests were done on GCP Cloud Run using a single processor, and 512M RAM machine, and we used Locust, an incredible tool (for Python, LoL). - Source: dev.to / 7 months ago
  • How MySQL Tuning Can Dramatically Improve WordPress Performance
    Our test duration was 2 days. To handle this longer testing period, we switched from BlazeMeter (max test duration of 20 minutes) to Locust, an open-source load-testing tool. - Source: dev.to / 11 months ago
View more

What are some alternatives?

When comparing Apache ab and locust, you can also consider the following products

VisualVM - VisualVM is a visual tool integrating several commandline JDK tools and lightweight profiling...

Apache JMeter - Apache JMeter™.

OProfile - OProfile is an open source project that includes a statistical profiler, capable of profiling all running code at low overhead.

Loader.io - Loader.io is a simple cloud-based load testing service

Eclipse Memory Analyzer - The Eclipse Foundation - home to a global community, the Eclipse IDE, Jakarta EE and over 350 open source projects, including runtimes, tools and frameworks.

gatling.io - Gatling is an open-source load testing framework based on Scala, Akka and Netty

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