Test with confidence using real traffic patterns
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No manual test script creation required
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Automatically handle dynamic data and state
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Validate complex user journeys and edge cases
How Kubernetes Traffic Replay Works
1. Observe
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.
2. Transform
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.
3. Replay
Collected traffic can be browsed, filtered and selected in the Traffic Viewer to auto-generate tests and mocks from. Replay traffic at scale to validate performance and functionality.
Kubernetes-Native Features
Sidecar Deployment
Deploy as sidecar containers to capture traffic without modifying your applications.
Data Sanitization
Automatically redact sensitive data and PII while preserving traffic patterns.
Smart Parameterization
Intelligently replace timestamps, IDs, and dynamic values for realistic replay.
Service Mesh Support
Works with Istio, Linkerd, and other service mesh technologies.
Load Testing
Scale captured traffic to test performance under realistic load conditions.
Environment Isolation
Replay traffic in development, staging, or test environments safely.
Ready to replay production traffic?
Start capturing and replaying Kubernetes traffic to improve your testing confidence and application reliability.