Language-native by design
Keep load scenarios close to application code, test data, and engineering workflows instead of translating intent into a separate tool model.
Self-hosted performance testing for distributed systems
Load test the transaction, not just the endpoint.
LoadStrike helps teams author realistic scenarios in C#, Java, Python, TypeScript, and JavaScript, then measure APIs, brokers, streams, and browser journeys in one reporting surface.
Language-native SDKs
Correlation across handoffs
Reports teams can share
Why teams choose it
The essentials, without the noise.
LoadStrike stays focused on the parts of performance testing teams actually need to design, run, and explain a real transaction under pressure.
Cross-system correlation
Track source and destination behavior together across APIs, queues, streams, and downstream processing so bottlenecks are easier to explain.
Shareable reporting
Produce outputs engineering, QA, and platform teams can review together, including HTML, CSV, TXT, and Markdown reports.
What you can cover
Start with one critical path and expand only when needed.
The best first rollout is usually a transaction your team already discusses in release reviews, incident follow-up, or capacity planning.
API and service load
Drive HTTP scenarios with thresholds, status tracking, and reporting that stays close to the request path.
Broker and stream workflows
Measure Kafka, NATS, Redis Streams, RabbitMQ, Event Hubs, and related handoffs with correlation-aware summaries.
Browser journeys
Run Playwright or Selenium steps when browser behavior belongs in the same scenario as your protocol load.
Local to cluster execution
Iterate locally, then move to coordinated execution when the workload and plan require broader scale.
SDKs
C#
Java
Python
TypeScript
JavaScript
Supported surfaces
HTTP
Kafka
NATS
Redis Streams
RabbitMQ
Event Hubs
Playwright
Selenium
Useful next steps
Start with one real transaction
Keep the first step simple and useful.
Choose one path that already matters to your team, model it realistically, and use the results to decide what to improve next.