Third-Party Service Suffers High Latency for a Kubernetes Deployment
Third-Party Service Suffers High Latency for a Kubernetes Deployment
Third-Party Service Suffers High Latency for a Kubernetes Deployment
Third-Party Service Suffers High Latency for a Kubernetes Deployment
Go back to listIdentify the effect of high latency of a third-party service on your deployment's service's success metrics.
Motivation
When you provide a synchronous service via HTTP that requires the availability of other upstream third-party services, you absolutely should check how your service behaves in case the third-party service suffers high latency. Also, you want to validate whether your service is working again as soon as the third-party service is working again.
Structure
We ensure that a load-balanced user-facing endpoint fully works while having all pods ready. When we simulate the third-party service's high latency, we expect the user-facing endpoint to work within specified HTTP success rates.. To simulate the high latency, we can delay the traffic to the third-party service on the client side using its hostname. The endpoint should recover automatically once the third-party service is reachable again.
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