Capture real traffic.
Redact PII. Autogenerate tests and mocks.

Stop getting blocked by broken dev clusters and bad data.

Emulate realistic production conditions
in an isolation environment in minutes.

Used by developers at

How it works

Defeat the triple threat:
Environments, Data, and Tests

Adopt across engineering teams for faster development and testing.

Step 01
Capture Real Traffic
Step 02
Data filtering & analysis
Step 03
Traffic replay and mock backends
Step 04
Adoption and scaling

Service discovery and mocking

Sometimes you may not know your own apps dependencies.

Use Speedscale to explore the environment specific to the APIs and databases YOU care about, autogenerate mocks for just what you need, and save on big cloud environments.

Multiply user traffic for more realistic load testing

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

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.

Designed for Kubernetes

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.

On Demand Data generation

Create data conditions you need, and augment production-like schemas that you observe from real user traffic to trigger happy-path and edge case conditions.

Cut environment costs without cutting corners

Simulate production-like environments locally to save on cloud bills and reduce staging headaches.