Use case

Self-hosted load testing

Learn how LoadStrike approaches self-hosted load testing for transaction-aware workflows across distributed systems.

Self-hosted load testing diagram
Explain the self-hosted deployment model and connect it to pricing, licensing, and cluster docs.
Direct answer

Why does self-hosted matter here?

Self-hosted load testing matters when the team wants the runtime, reports, and distributed execution to live on infrastructure it controls. That is especially relevant for workloads that touch internal systems, private queues or streams, regulated environments, or browser and service flows that should not leave the network boundary.

LoadStrike is explicitly positioned as self-hosted. The public site ties that model to its transaction-aware runtime, plan structure, runner-key access, and coordinator-and-agent execution rather than to a cloud load-consumption service.

Who this is for

Teams that need to run on their own infrastructure while still testing full workflows across APIs, queues or streams, browser journeys, and downstream services.

Why endpoint-only testing breaks down here

Cloud-style endpoint load generation can miss the operational need to keep transport access, browser dependencies, cluster placement, and report artifacts inside the environment the team already controls.

How LoadStrike fits

LoadStrike keeps the product self-hosted, publishes pricing and runner-key expectations for that model, and documents local plus distributed cluster behavior for teams that want one runtime across the systems they already operate.

What to expect

Verified LoadStrike fit points

  • Self-hosted product positioning is visible across the public site and pricing.
  • Runner-key and licensing docs explain how runtime access works.
  • Cluster docs cover local and distributed execution patterns.
  • The same runtime can push final run data into supported sinks when the plan includes them.
Resources

Docs and examples

Use these pages to connect the self-hosted model to runtime access and operations.

Pricing

See the self-hosted plan structure and trial path already published on the site.

Cluster overview

See how local and distributed execution are documented publicly.

Common questions

Common questions

These questions are rendered on the page and mirrored in the matching FAQ structured data when the route is indexable.

Is LoadStrike a self-hosted product?

Yes. The public site positions LoadStrike as self-hosted and ties pricing, runtime access, and clustered execution to that deployment model.

Can self-hosted teams still use reporting sinks?

Yes. The public docs cover built-in reporting sinks for InfluxDB, TimescaleDB, Grafana Loki, Datadog, Splunk HEC, and OTEL Collector on eligible plans.

What should a self-hosted team read after this page?

Start with pricing, licensing and entitlements, and the cluster overview so the commercial model, runtime access, and execution footprint are all clear before the rollout starts.

Related

Related documentation

Keep moving from positioning into concrete product detail.

Licensing And Runtime Access

This page explains how runner keys control runtime access. Read it when you need to understand what must be valid before a run can start.

Cluster Overview

Cluster mode lets one LoadStrike run spread across multiple nodes. Use it when a single machine is not enough or when topology matters.

Related

Related comparisons

Use these routes when the next question is tool choice rather than implementation detail.

LoadStrike vs k6

Compare LoadStrike and k6 across code ergonomics, protocol scope, downstream correlation, reporting depth, browser workflows, and distributed self-hosted execution.

LoadStrike vs Apache JMeter

Compare LoadStrike and Apache JMeter across scenario design, protocol coverage, downstream correlation, browser workflows, reporting, and self-hosted operations.

Related

Related integrations

These reporting pages connect the transaction model to the observability systems already documented publicly.

LoadStrike and Datadog

See how the LoadStrike Datadog sink fits into transaction-aware, self-hosted load testing workflows.

Related

Next best pages

Every published route should help you move to the next concrete question instead of ending in a dead end.

Pricing

Review the public trial and plan details.

Next step

Next step

Open the quick start, map the transaction you already care about, and keep the workflow explicit from source action to downstream completion.