Come see us at KUBECON ’24, Nov 13-15th booth S-59

Simulate production conditions
on your laptop

Transform user behavior into realistic local development environments. Provision API, database, and message queue mocks in minutes.  Because staging doesn’t always have what you need.

Speedscale simulation

Trusted by

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Staging doesn't always work

It’s tough to maintain and used by everyone.

Use Speedscale to explore the environment specific to the APIs YOU care about, reduce your cloud bill and autogenerate mocks for just what you need.

… and you need test data

Your databases and APIs never have the right scenarios.  

Speedscale can synthetically build more data for dev and test – or let our advanced rules engine model it after PII redacted user traffic.

Equipping development teams

“With the exponential increase of microservices and capability focused development, a platform like Speedscale is the only way to certify and confidently deploy these features to our customers at scale and speed.”

Sree Sreedhararaj, CTO

“Speedscale is a game changing capability that enables large architectural upgrades with quality. Traffic replay is high coverage and fast.”

David Ting, CTO

“Just on the first run of a regression traffic replay we found a defect in how our APIs were returning IDs. That demonstrated how quick to value the use of Speedscale could be.”

Peter Kreslins, Founder & CTO

Get up and running quickly

Whether it’s our Kubernetes operator or Postman import — spinning up dev environments with realistic scenarios is quick and automated, in any cloud or even your laptop.

Generate realistic load on your laptop

Whether you’re looking to understand behavior under 2x or 10x production load, Speedscale can stress your systems based on real traffic patterns, every commit. 

Multiply or loop sanitized user traffic and find your throughput, latency, and breaking point.

Jeff Kwan
Principal Software Engineer

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“Speedscale gave us clear insight on the upper load limit of our software. Whereas with K6, it was more binary, like a PASS/FAIL grade. Speedscale took it one step further to help us understand, based on transactions per second, exactly where our breakpoints were. We felt more confident in where our service could be.”

Kubernetes visibility

Observe user behavior and choose which backends and scenarios to replicate. Then debug and troubleshoot your next build.  Fix, and repeat.

How it works

Observe

Speedscale observes and redacts PII from your API calls via sidecar, Postman collection or logs

Analyze

Speedscale then detects auth tokens, dates, and data patterns that need to be replaced to simulate production

Replay

Run your code changes against  realistic production environments and data so you can build better, faster.