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JAEWON CHANGSystems Dossier
Language

Specification

Organisation
Nudge Healthcare
Period
2024
Role
Root-cause analysis, API separation

Context

The user-facing service and the admin system shared server resources. A large admin batch slowed user-facing responses as well.

The symptom looked like a frontend performance problem. Looking only at the view layer would never have reached the cause.

Approach

  1. Lining up the slowdowns with batch execution times pointed at shared server resources rather than the view layer.

  2. I separated the user-facing API surface from the admin one, so admin workload no longer propagates into the user-facing service.

System

Before and after isolationcontendsUsersbeforeAdmin batchShared API + resourcesUsersafterAdmin batchUser APIAdmin API
Fig. load isolation

Two workloads that contended for one pool of resources, separated.

Before, user traffic and admin batches contended for one API surface and one resource pool. After, each has its own.

Boundaries

  • No shareable measurement exists for this change, so no figure is claimed.
  • Infrastructure-level placement decisions were made together with the infrastructure owner.