Why Scale-to-Zero Fails Authentication Systems That Need Always-One Uptime

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A software team evaluated migrating their authentication infrastructure to Azure Container Apps with scale-to-zero pricing but ultimately rejected the move. The core issue is that scale-to-zero runtimes only understand two states — zero instances when idle and N instances under load — but the team's auth backend requires exactly one instance running continuously. Beneath the stateless public endpoints, their system runs a singleton coordination layer that holds a cluster leadership lease and executes critical background jobs; having zero or duplicate executors causes silent failures or duplicate side effects. Forcing a minimum replica count of one on a serverless platform means fighting the runtime's core behavior at every scaling event, redeployment, or restart. Beyond architecture, the human cost is also clear: a cold-start delay on an auth service directly impacts users trying to log in, making the tradeoff unacceptable regardless of potential cost savings.

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