bombardier VS ddosify

Why? There is a ready script for that https://github.com/codesenberg/bombardier

You could try to just blast it with wrk or bombardier. Can easily get around 50k requests on consumer machine.

Sorry if this is a bit out of subject but this is a question how to deploy a Rust API. Just finished a GraphQL API and benchmarking when spawn locally on my Apple M1 I get 30k req/sec (super fast!) but when deployed to digitalocean, with a Docker image, on any of their apps size I get about ~200/sec, up to 500/sec max (60x less!) if running bombardier from the same network. I tried Heroku which gets me similar results as well.

Podes utilizar algo como o bombardier.

For testing, I’ll use the Go Bombardier package, which runs 5000000 requests with 125 concurrent connections with the following command:

Bombardier

DDosify: https://github.com/ddosify/ddosify

We are thrilled to announce the release of Ddosify Self-Hosted on GitHub today. Unlike the Ddosify Engine, this version features a No-code UI and supports distributed traffic generation.

Ddosify is built with ease of use and flexibility in mind, and it supports popular web protocols. It allows you to define and customize test scenarios, generate realistic loads, and monitor performance metrics in real time.

We have organized this write-up into two parts to demonstrate two different features of Ddosify. In the first part, we will perform a load test on a GET endpoint that accepts base and target currency and returns their exchange rate of them. The rand() utility method is used to send different currencies on each request. In the second part, we will test a POST endpoint that performs exchange operations. We will use a CSV file that contains test data stored on our Test App's Database. Then we import this CSV file into Ddosify to replay the same transactions stored on DB, but in high concurrency. In both parts, we will gain insights into the reliability of our exchange API across high traffic.