Jeremy Andrews

Experimenting with running Goose load tests from AWS, Goose has proven to make fantastic use of all available system resources, so that it is only generally limited by network speeds. A smaller server instance was able to simulate 2,000 users generating over 6,500 requests per second and saturating a 2.6 Gbps uplink.

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

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...