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In high-frequency microservice meshes (e.g., Istio with successThreshold=1 , periodSeconds=1 ), a standard health endpoint can consume 3-5% of CPU per pod solely for JSON serialization and dependency checks. identified that existing health libraries treat readiness/liveness as cold, infrequent events. PHC v1.0 inverts this assumption: health checks are hot , continuous validation signals.

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Learn more about the technical applications of virtual medical simulations on MedlinePlus In high-frequency microservice meshes (e