GCP Professional Cloud Architect Practice Question
Your e-commerce company runs its order-processing microservices on multi-regional GKE clusters. Leadership wants proof that the platform can keep the percentage of successful checkouts above the agreed SLO of 99.9 % even if a critical dependency such as the payment service becomes unreachable for several minutes. Which approach best follows chaos engineering principles to achieve this goal?
Release a new version of the checkout service to 5 % of users as a canary and observe metrics for 24 hours before full rollout.
Perform monthly regional failover exercises by shifting all traffic to the standby region and validating data replication.
Run periodic stress tests that drive CPU on the staging cluster to saturation, then scale node pools before peak seasons.
Define "checkout success rate" as the steady-state metric, use a chaos tool to intermittently isolate the payment service in the production clusters, monitor the SLO during the experiment, and remediate any discovered weaknesses.
Chaos engineering begins by defining a measurable steady-state-in this case, maintaining the checkout success rate at or above 99.9 %. Engineers form a hypothesis that the system will preserve this steady-state when specific failures occur, then deliberately inject those failures directly in production-such as blocking traffic to the payment service with a tool like Chaos Mesh-and observe the resulting metrics. If the SLO is breached, the weakness is identified and can then be remediated. Load tests in QA, disaster-recovery drills, or canary deployments can improve reliability in other ways but do not involve controlled fault injection in the live system to validate the hypothesis about steady-state behaviour.
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What is chaos engineering in the context of cloud systems?
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How is an SLO (Service Level Objective) different from an SLA (Service Level Agreement)?
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What is Chaos Mesh and how is it used in production environments?
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What is chaos engineering?
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What are SLOs, and how do they relate to system reliability?
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What is a steady-state metric in chaos engineering?
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