Speedscale

Step 1: Capture live traffic to the API endpoint.

Step 2: Generate new API handler code using an AI tool.

Step 3: Replay the captured traffic against the new handler in a Speedscale sandbox.

Step 4: Compare the responses from the new handler with the original responses to identify discrepancies.

Step 1: Capture traffic between microservices.

Step 2: Deploy a new version of one microservice.

Step 3: Replay the captured traffic to test the interaction with the updated service.

Step 4: Analyze the results to ensure no regressions were introduced.

Step 1: Capture real payment transactions.

Step 2: Implement changes to the payment processing code.

Step 3: Replay the captured transactions in a Speedscale sandbox.

Step 4: Verify that the payments are processed correctly and that all financial data is accurate.

Step 1: Capture traffic containing user data.

Step 2: Enable PII masking in Speedscale.

Step 3: Replay the masked traffic in a sandbox environment.

Step 4: Verify that the masked data is handled correctly and that no sensitive information is exposed.

Step 1: Capture API traffic under different load conditions.

Step 2: Analyze the traffic patterns to identify slow endpoints.

Step 3: Replay the traffic in a Speedscale sandbox and profile the API code.

Step 4: Optimize the code and re-test to verify performance improvements.