Review LoadStrike WebSocket load testing support for real-time apps, long-lived connections, message flows, and performance reports.
WebSocket performance should be tested around connection behavior, message flow, latency, errors, and the real-time workflow the connection supports. LoadStrike documents WebSocket endpoint and protocol support for teams evaluating real-time performance inside a broader load testing program.
Use LoadStrike when WebSocket traffic needs to sit beside API, browser, gRPC, or event-driven work in the same performance testing software evaluation.
Use these pages and artifacts to validate the public claims on this page.
Review WebSocket protocol guidance.
Review endpoint configuration guidance.
See report outputs and metrics.
Teams building real-time dashboards, collaboration tools, streaming updates, notification flows, and WebSocket-backed application features.
Long-lived connections and message streams create risks that simple request-response tests do not show clearly.
LoadStrike gives WebSocket workloads a documented place in the same scenario and reporting model used for the rest of the product surface.
Use these pages when real-time message behavior is part of the test.
Start with WebSocket guidance.
Review endpoint details.
Connect real-time messages to the wider workflow.
Yes. The public docs include WebSocket protocol and endpoint pages.
Use it when long-lived connections, message flow, or real-time behavior affects the user or system outcome.
Yes. WebSocket work can be planned alongside API, browser, gRPC, and event-driven stages when the workflow requires it.
Start with the implementation details that match this page.
Use this guide when long-lived WebSocket sessions, message matching, or realtime channels need to be part of a performance or transaction test.
Use the WebSocket endpoint when a workflow uses WebSocket messages and the run should still report the tracked transaction outcome. Available on Pro and Enterprise plans.
This page explains how to read a LoadStrike report. Use it when you want to know what each section means and where to look first.
Use these comparison pages if you still need a tool-level decision.
Compare LoadStrike and Artillery across API testing, event-driven workflows, browser support, reporting depth, operational control, and full-path diagnostics.
Compare LoadStrike and k6 across code ergonomics, protocol scope, downstream correlation, reporting depth, browser workflows, and distributed self-hosted execution.
Connect the run output to the observability backend your team already uses.
See how the LoadStrike Grafana Loki sink fits into transaction-aware reporting and public Grafana starter assets.
See how the LoadStrike Datadog sink fits into transaction-aware, self-hosted load testing workflows.
Review another non-HTTP service workload.
Connect real-time browser flows to backend behavior.
Compare broader tool fit.
