Speedscale can observe traffic through a variety of means such as sidecars, Postman collections, or even on your local desktop. Data is sanitized for security, so no sensitive data is used.
Speedscale then intelligently parameterizes key fields such as timestamps, unique IDs, and customer/order IDs in order to replace them with realtime values during traffic replay for flexible, no-code reuse. Tokenization can be customized. Collected traffic can be browsed, filtered and selected in the Traffic Viewer to auto-generate tests and mocks from.
These containerized “Snapshots” can then be replayed anywhere (even on your laptop with no kubernetes cluster), an unlimited number of times. A Snapshot is essentially a traffic generator, a collection of mocks, or both! Traffic within snapshots can be multiplied, sped up or slowed down. Responses from the Mock pod can also be configured for 404’s, latency, and network black holes.
Speedscale can automatically detect and mock your dependencies.
Service mocks are simulators that accept outbound requests from your app and mimic responses coming back from 3rd parties.
Speedscale mocks contain PII-redacted, sanitized traffic so you don’t need to worry about sensitive data being used.
"chaos": {
"chaosPercent":25,
"badStatusCodes": true,
"intermittentResponses": true,
"randomLatency": true,
"randomHighLatencyMs": 5000
}
Traffic replay pods are ran locally in your clusters by a Kubernetes operator for traffic replay.
Test results are logged and sent to Speedscale for analysis and reporting. Pods are cleaned up afterward to return the cluster to the original state.
A free VS Code extension that automatically recreates backend responses and production conditions from observed traffic.
Capture. Edit. Replay.
Read the docs
Stop trying to move mountains in your dev environments to trigger the responses you’re looking for.
Create the responses you want to trigger within VS Code instead — modeled after real transactions.
Like a time machine, proxymock allows you to replay breaking transactions, fix, and validate.
It also reduces the need for complex, shared cloud environments, saving money.
Simulate production conditions your way. Introduce latency, multiply transactions, add in error codes.
All without scripting and mocked within VS Code in minutes.
Production traffic can often be unpredictable, and distinguishing genuine user interactions from mere noise becomes a pivotal step in comprehensively
Using a mock server is a popular method of working around these limitations and realities, allowing you to test web
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