Loadster Synthetic Monitoring vs Taurus

Loadster Synthetic Monitoring runs scheduled scripted checks against websites, web apps, and APIs from outside a user’s infrastructure. A monitor can check one page or endpoint, or follow a multi-step journey such as logging in, navigating pages, and submitting a form. Scripts can use Browser Bots, Protocol Bots, or Playwright Test in JavaScript or TypeScript. Check schedules range from every minute to every day.

The product page lists eight dedicated monitoring locations across five continents, and one monitor can use several locations. Browser Bot and Playwright checks automatically collect TTFB, FCP, LCP, and CLS timing metrics. Monitoring cycles retain logs and detailed traces; browser checks include screenshots, while Protocol Bot checks capture request and response details. Alerts can go through email, SMS, phone calls, webhooks, Slack, PagerDuty, Opsgenie, and VictorOps. By default, one failed cycle opens an incident and one passing cycle resolves it, though the failure threshold can be raised. Hosted status pages can share selected status and uptime history privately or publicly, with custom domains when the customer controls DNS. Monitors can also run from a self-hosted Loadster Engine.

Taurus is a free, open-source framework for automating continuous testing. It wraps performance and functional tests and relies on tools including JMeter, Gatling, Locust.io, and Selenium WebDriver. Documented executors also cover JUnit, K6, Postman/Newman, PyTest, TestNG, and Playwright. Test scripts can be written in YAML or JSON, with configurable pass/fail criteria. Taurus can show live statistics in a terminal and generate interactive reports, JUnit XML, and CSV outputs. The project documents integrations with Jenkins, Bamboo, and TeamCity, and provides a Docker image. Installation can use Python’s package manager with `pip install bzt`; official instructions cover Linux, Mac OS, and Windows. Requirements vary by system and test type: Linux installation requires Python 3.7+ and Java, and some test types need additional software. Cloud-provisioned execution uses BlazeMeter locations and requires an API key in the cloud module settings. Taurus is licensed under Apache 2.0 and directs users to GitHub Issues and a support forum.