Lynette Miles

Goose, the highly scalable load testing tool created by Tag1 Consulting, has undergone a number of improvements since its creation. Asynchronous support created a significant boost in performance, but Jeremy felt there was still room for improvement.

Lynette Miles

In previous posts we’ve talked about Goose, and Gaggles, and how they work. Running Goose for an actual client load test is the true test of its use and, like any software, one of the best ways to find out where additional improvements can be made. Here, we’ll walk through how we set up and proceeded through a test with a Tag1 client, what we found, and where, and what Goose improvements are being added...

Lynette Miles

Introduced in Goose 0.7, Async enables the simulation of considerably more "users" by giving up the CPU when a task is blocked. For example, when a Goose "user" requests a web page, it's blocked until the server responds. Without Async, Goose blocks an entire CPU core while waiting for that response. With Async, Goose makes the request, then gives up the core (ie, sleeps) allowing another "user" to make a request with that same core...

Lynette Miles

We’re going to dig into the process of a working Gaggle, so you can see how it runs, and how to deal with some of the errors you might encounter as you start working with this feature of Goose. Goose does not currently have a UI; this example expects you to be familiar with the command line interface (CLI). This example uses one Manager and two Workers, so there are three different things going...

Lynette Miles

Goose, the load testing software created by Tag1 CEO Jeremy Andrews has had a number of improvements since its creation. One of the most significant improvements is the addition of Gaggles. A Gaggle is a distributed load test, made up of one Manager process and one or more Worker processes. The comparable concept in Locust is a Swarm, and it's critical for Locust as Python can only make use of a single core: you have...

Lynette Miles

In our blog, we’ve previously had a Tag1 Team Talk about Goose, by Tag1 CEO Jeremy Andrews. Goose is a Locust-inspired load testing tool In Rust. Goose has been effective in helping Tag1 support its clients by ensuring their websites hold up under stress.

Preston So

Research shows that if your application introduces latency of even a few milliseconds, your business revenue can suffer immensely. At Tag1, we often have clients approach us with concerns about high traffic. Load testing and performance tuning often elicit groans from architects and developers more interested in building features, but it is a critical step in the process to ensuring your web application can operate at scale under heavy load. Though other load testing ecosystems...

Jeremy Andrews

Goose is the most scalable load testing tool available (10 - 20x faster than Locust), it uses much less hardware and is the easiest tool to scale. Check out the Goose source code, documentation, and all other Tag1 Goose related content! --- Load testing is one of the tools we leverage regularly at Tag1. It can help prevent website outages, stress test code changes, and identify bottlenecks. The ability...