Loadster
Loader.io
LoadForge
k6 Cloud
LoadUIWeb
LoadFocus
Loadium
LoadStorm
dotMemory
Valgrind
MemoryLogic
Glimpse for C#
Robot Console
VisualVM
OProfile
ANTS Memory Profiler
Loadster is a cloud-based load testing and synthetic monitoring platform for engineers who want to know how their applications behave under real traffic.
Tests run with three types of bots: Protocol Bots for HTTP testing, headless Browser Bots that render full pages and execute JavaScript in real Chrome browsers, and Playwright bots for when you want to use Playwright JS directly.
Loadster scripts can be recorded from Chrome or Firefox with the Loadster Recorder extension, edited in a built-in editor with variables, datasets, and shared includes, and then replayed from multiple cloud regions.
Each test run returns detailed page timings (TTFB, FCP, LCP, CLS, etc) alongside resource waterfalls, screenshots, and full traces you can step through in a self-hosted trace viewer. Tests scale from a handful of virtual users (bots) to hundreds of thousands across distributed cloud engines without you provisioning anything.
The same scripts can be set up as monitors that run on a schedule from chosen regions. Notification policies route incidents to email, SMS, voice, or integrations like Slack and PagerDuty. Projects, roles, and shared test history keep teams aligned on what passed, what failed, and what changed.
Pricing is usage-based via Loadster Fuel, with 50 free units on sign-up and no credit card to start.
LoadsterLoader.io - Loader.io is a simple cloud-based load testing service
Valgrind - Valgrind is an instrumentation framework for building dynamic analysis tools.
LoadForge - Better, cheaper load testing for websites, APIs and servers
MemoryLogic - MemoryLogic offers tools to add process id and memory usage in rails logs and to track memory leaks.
k6 Cloud - Managed load testing service built on top of the popular open-source project k6.
Glimpse for C# - The open source diagnostics platform for the web. Contribute to Glimpse/Glimpse development by creating an account on GitHub.