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Cloud-Native Production Patterns: Stateless Services, Regions, and Cost-Aware Resilience
A production engineering guide to cloud-native patterns that matter in interviews and real systems. Covers 12-factor constraints, stateless vs stateful boundaries, active-active vs active-passive, spot strategy, and egress-aware architecture decisions.
Cloud-Native Is a Constraint Model, Not a Marketing Label
Teams fail cloud-native migrations when they rename infrastructure without changing service boundaries, state ownership, and failure assumptions. "Cloud-native" is not a tooling badge; it is an operating model for unreliable infrastructure and elastic demand.
The real question is whether a service can survive instance churn, zone disruption, and rollout mistakes while still meeting user-facing SLOs. If local disk state, session affinity, and manual failover are still embedded in business-critical paths, the system is not cloud-native regardless of platform.
Interviewers look for explicit tradeoff language: where to keep services stateless, where to pay for stronger durability, when active-active is justified, and when active-passive plus tested failover is the smarter business choice.
Strong answers include cost discipline. Cross-region replication, idle hot standby, and egress-heavy fan-out can dominate cloud spend. Staff-level responses tie these costs to concrete outage risk and revenue impact instead of arguing from ideology.