This page used to repeat arguments that three other guides on this blog make in more depth, and it carried unsourced compliance claims, so it is now a short decision flow: five questions to answer in order, a table that says which guide covers each, and a way to settle a close call with data. Cloud load testing runs the generators on a vendor’s infrastructure; on-premise (self-hosted) load testing runs them on machines you own or rent.
Key Takeaways
- The first two questions usually decide it: can the system under test be reached from outside, and does the test need production personal data.
- Regulation rarely forces on-premise by itself. For US health data, HHS guidance says a covered entity may use a cloud provider under a business associate agreement. Check the HHS page for the exact wording, because it returned an access error to our fetch tool and the wording here comes from the sibling guide’s summary of it.
- When both options fit, run the same script on both and compare. A difference smaller than the gap between two identical runs is noise.
Which should you choose: cloud or on-premise load testing?
Work down the questions and stop at the first one that gives you a hard answer.
- Can the target be reached from the internet, or be opened to the vendor for a test? If it cannot (a system on a private network, no allowlisting possible), you need generators inside the network, whether self-hosted or a vendor-supported private path. LoadFocus’s allowlisting page says its generators run on AWS address ranges listed per region, which change over time, and that allowlisting is needed behind firewalls and WAFs that block unknown sources (loadfocus.com/whitelist-ips, read 23 October 2026).
- Does the test need production personal data? Most load tests do not: generated or masked data gives the same request shapes and volumes. If real data must be used, involve your data protection or compliance team before choosing any tool, because the answer is a contract and policy question, not a hosting one.
- Do contracts or customers require data or traffic to stay inside your network? These can be stricter than the law. Read them.
- Do you need load from several regions or the real internet path? Hosted generators are the shortest route. Self-hosting means running machines in each region yourself.
- Who will run and patch the generators? If nobody owns that job, the cost of self-hosting is understated.
Where do the detailed arguments live?
| Your situation | Start here |
|---|---|
| Small team, no test infrastructure owner | Cloud load testing vs on-premise solutions for startups |
| Regulated company, internal systems, vendor security review | Cloud load testing vs local load testing for enterprises |
| You are choosing how to watch production, not how to load test | Cloud vs on-premise website monitoring |
Those pages hold the cost, compliance and hybrid arguments; they are not repeated here.
Can you combine both?
Yes, and it is common: hosted generators for the public path (DNS, CDN, TLS, internet latency, multi-region peaks) and self-hosted ones for services that only exist inside the network. The price is two sets of results. Use the same script and the same thresholds in both, tag requests by origin, and report them side by side instead of merging them.
How do you settle a close call with data?
If questions 1 to 3 do not decide it, run a pilot instead of debating:
- Write one script (k6 or JMeter) for one realistic flow.
- Run it twice from the hosted platform, and twice from your own generators, at the same load and duration.
- Compare p95 and error rate. The gap between the two runs on the same platform is your noise floor.
- If the cross-platform gap is inside the noise floor, results do not decide it: choose on effort, cost and review time. If it is larger, look for the cause (generator size, distance to the target, network path) before blaming the platform.
Illustrative arithmetic (invented numbers): two hosted runs give p95 of 410 ms and 430 ms, so the noise is 20 ms. Two self-hosted runs give 415 ms and 425 ms. The platforms differ by under 20 ms, so they agree. If the self-hosted p95 were 600 ms, the 170 ms gap is real and worth explaining, for example a generator that ran out of CPU.
LoadFocus load testing runs k6 and JMeter scripts from 25+ cloud regions (loadfocus.com/index.md, read 23 October 2026), so the hosted half of the pilot needs no infrastructure. For a distributed self-hosted setup, see running JMeter distributed tests.
Frequently Asked Questions
Is on-premise load testing required for HIPAA or GDPR?
Not by those rules alone. US HHS guidance on HIPAA and cloud computing allows a covered entity to use a cloud provider under a business associate agreement; check the HHS page for the current wording. The GDPR governs how personal data is processed and transferred, and does not ban cloud processing. Contracts and national rules can be stricter, and none of this is legal advice.
Is cloud load testing cheaper than on-premise?
It depends on how often you test. Hosted platforms charge for use; self-hosting adds machines, maintenance and staff time even when idle. The startup and enterprise guides above compare the cost models.
Can cloud load testing reach a staging system behind a firewall?
Yes if you can allowlist the vendor’s generator addresses. If you cannot, run generators inside the network.
Do I need both?
Only if you have both a public path to test from outside and internal services that cannot be reached from outside.
Sources
- LoadFocus IP allowlisting page: loadfocus.com/whitelist-ips (read 23 October 2026).
- LoadFocus overview: loadfocus.com/index.md (read 23 October 2026).
- HHS, Guidance on HIPAA and Cloud Computing (hhs.gov, October 2016): not fetched this session because the page returned HTTP 403; wording taken from the sibling guides and a search summary, so readers should check HHS directly.
