How do I install and run Herd on a Linux system?

Clone the repository, install dependencies like gcc and rust, then compile with 'cargo build --release' and run using a YAML config file, but be prepared for potential compilation issues due to outdated Rust code.

Herd vs Apache JMeter for load testing, which is better?

Herd is lighter with minimal dependencies and Rust-based performance, but JMeter is more mature with GUI, reporting, and active maintenance. Choose Herd for experimental or low-dependency needs, JMeter for production-ready features.

Is Herd safe to use on my local machine?

No, the README explicitly warns against running Herd on production machines due to its hardware-intensive nature—it can crash systems by exhausting resources, so use a disposable cloud instance instead.

How to configure multiple endpoints in Herd's YAML file?

Refer to the example-config.yaml in the repository, which likely defines hosts and scenarios, but documentation is sparse, so you may need to infer or modify based on the source code.

What happens if I simulate 10,000 users with Herd?

Herd will fork itself multiple times, consuming significant memory and CPU, potentially crashing the machine if resources are insufficient, as noted in the README's hardware-intensive warning.

Can Herd test HTTPS endpoints?

Yes, since it uses libssl as a dependency, it should support HTTPS, but given its experimental and unmaintained state, functionality might be limited or broken in newer Rust versions.

Open-Awesome

Herd

GPL-2.0Rust

An experimental HTTP load testing application written in Rust, focused on ease of use and low OS dependencies.

GitHub

119 stars9 forks0 contributors

What is Herd?

Herd is an experimental HTTP load testing application written in Rust that allows developers to simulate thousands of concurrent requests to HTTP endpoints. It focuses on being easy to use and minimizing OS-level dependencies, making it a lightweight tool for performance and stress testing web services. The application uses Unix process forking and multithreading to achieve high concurrency, though it requires careful resource management due to its hardware-intensive nature.

Target Audience

Developers and engineers needing to perform HTTP load testing on web services, particularly those looking for a Rust-based, low-dependency alternative to traditional load testing tools. It suits those comfortable with compiling from source and managing resource-intensive processes.

Value Proposition

Developers choose Herd for its simplicity, minimal dependencies, and Rust-based performance, offering a straightforward way to conduct high-concurrency load tests without the overhead of JVM or other heavy runtimes. Its configuration-driven approach provides flexibility, though it requires caution due to its resource-intensive nature.

Overview

An experimental HTTP load testing application written in Rust.

Use Cases

Best For

Load testing HTTP endpoints with thousands of concurrent requests
Performance and stress testing web services in development environments
Experimentation with Rust-based networking and concurrency tools
Avoiding JVM or other heavy runtime dependencies in load testing
Testing scalability of web applications using YAML-configured scenarios
Educational projects on building load testers with Unix process forking

Not Ideal For

Production environments where stability and minimal resource risk are critical
Teams lacking Rust expertise or unwilling to compile and modify source code
Scenarios with limited hardware resources, as Herd's forking model can exhaust memory and CPU

Pros & Cons

Pros

High Concurrency Handling

Uses Unix process forking and multithreading to spawn thousands of concurrent HTTP requests, enabling realistic load testing for web services.

Minimal Runtime Dependencies

Built in Rust to avoid heavy runtimes like the JVM, reducing OS-level dependencies and focusing on efficiency, as noted in the README.

Configuration-Driven Flexibility

Supports defining multiple hosts and test scenarios via YAML configuration files, allowing customizable load testing setups.

Educational Experimentation

As an experimental project, it provides insights into Rust-based networking and concurrency, useful for learning or side projects.

Cons

Unmaintained and Outdated

Built on a pre-1.0 version of Rust, not unit tested, unlikely to compile on modern Rust without modifications, and the author does not intend continuous maintenance.

Resource-Intensive Operations

Forks itself per 1000 virtual users, which can crash machines due to memory or CPU exhaustion, as warned in the README, making it unsafe for production.

Compilation and Setup Hurdles

Requires compiling from source with dependencies like gcc and libssl, and may need source code alterations as Rust changes, adding to initial setup complexity.

Frequently Asked Questions

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