GCP Professional Cloud Architect Practice Question
Your e-commerce platform runs on GKE in two regions and uses Anthos Service Mesh (ASM) for traffic management. Leadership wants evidence that the checkout microservice will continue to meet its 95th-percentile latency SLO when its dependency on the inventory service experiences a 500 ms delay during peak Black Friday traffic. You must test in production with minimal customer impact, gather metrics to trigger an automatic rollback, and avoid modifying application code. Which approach best fulfils these requirements?
Create an ASM virtual service rule that injects a 500 ms delay on 2 % of checkout-to-inventory calls, monitor the checkout service's Cloud Monitoring SLO with a burn-rate alert, and disable the rule automatically if the alert fires.
Adjust Cloud Load Balancing backend time-outs to 500 ms for the inventory service during the sale and review Cloud Logging for error spikes.
Release a new inventory service version that sleeps 500 ms before responding, perform a blue/green cut-over, and inspect Cloud Profiler for CPU anomalies.
Build a dedicated staging cluster, run a JMeter stress test against checkout from Cloud Build, and analyse Cloud Trace spans for latency regressions.
Configuring a fault-injection rule in Anthos Service Mesh lets you introduce the precise 500 ms delay on a small, controlled percentage of live traffic without changing any application binaries. Because the test runs in production, it exercises real user patterns. By combining the injection with an SLO-based burn-rate alert in Cloud Monitoring, you gain quantitative evidence of resilience and an automated rollback mechanism when the SLO budget is consumed. Running tests in a separate staging environment would not validate production behaviour, altering load-balancer timeouts does not inject latency into the upstream call path, and deploying a "sleep" build changes code and introduces wider risk instead of a narrowly scoped chaos experiment.
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What is Anthos Service Mesh (ASM)?
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What is a burn-rate alert in Cloud Monitoring?
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What is fault injection in ASM and why is it useful?
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What is Anthos Service Mesh (ASM)?
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What is an SLO-based burn-rate alert in Cloud Monitoring?
Open an interactive chat with Bash
What is fault injection in ASM and why is it used?
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