LoadStrike is a self-hosted load testing tool that treats APIs, browser journeys, queues, streams, and services as one workflow.
Scenario design, runtime controls, reports, and supported clusters stay aligned across SDKs, so teams can keep one testing model while using the language they already know.
Why teams choose it
Why teams use LoadStrike.
Best when a performance question spans more than one system.
Trace-To-Test Autopilot
Create a safe starter scenario from HARs, traces, recordings, or message pairs.
Cross-system correlation
Track the source action and the downstream result with one shared transaction model.
Self-hosted execution
Run LoadStrike on your own infrastructure in local, CI, or clustered setups.
Protocol coverage
Use one runtime for APIs, Kafka, streams, browser flows, and reports.
Product proof
See the result before you go deeper.
Start with the report, then map it back to the runtime choices.
Trace-first path
Use Autopilot when you have workflow evidence and need a quick first draft.
Implementation path
Use the docs hub for language samples, transport setup, and cluster guidance.
Buying path
Pricing keeps the self-hosted plan model simple and predictable.
Reports stay tied to the full transaction, not only the first request timing.
Trace-To-Test Autopilot
A faster path from traffic to a first test.
Autopilot reads workflow evidence, hides secrets, checks replay safety, and returns a starter plan.
Accepts HARs, OpenTelemetry traces, browser recordings, and message pairs.
Requires review before a runnable scenario is built.
Creates a small scenario teams can tune and scale.
The scenario, step, tracking, and reporting concepts stay aligned across C#, Go, Java, Python, TypeScript, and JavaScript SDKs.
Teams using AI coding assistants can also start from the LoadStrike AI Agent Skills guide, which explains how to prompt for SDK-specific scenarios without changing the product's licensing or execution model.
Short answers on fit, rollout shape, pricing, and implementation.
Why is Trace-To-Test Autopilot a product differentiator?
It helps teams move from observed behavior to a reviewed first draft faster than starting from a blank file, while still keeping engineers in control of the final test.
How does LoadStrike correlate a transaction across systems?
It tracks a shared identifier across workflow stages and reports success, timeout, duplicates, and latency for the full path, not only the first service that received traffic.
Is LoadStrike self-hosted or managed?
LoadStrike is self-hosted. Teams run SDKs, reports, and supported cluster patterns in their own environment, which helps keep execution close to the systems being tested.
What does one runtime surface mean for engineering teams?
It means the same scenario, step, threshold, reporting, and correlation ideas appear across supported SDKs, so teams do not need separate test models for each language.
Can LoadStrike fit into existing reporting and observability workflows?
Yes. Local reports are built in for every run, and Enterprise adds portal reports plus supported reporting sinks for teams that already use observability platforms.
Put it to work
Start with one transaction, then expand.
Review a report, pick a plan, or open the guide for your stack.