좋은 앱은 저절로 만들어지는 것이 아니라 가이드된다: 관찰 가능한 코드형 정책 구축

Posted on August 12, 2026 by Diana Todea (Head of Developer Relations Engineering, VictoriaMetrics) & Cortney Nickerson (Community at Kyverno) As parents in tech, we've learned that neither children nor applications thrive without clear boundaries. There are no "good" or "bad" kids, just as there are no inherently "good" or "bad" applications, only behaviors shaped by the guardrails around them. In parenting, we establish rules to encourage safe, responsible decisions while still allowing independence. Modern cloud-native platforms require the same approach.

Policy as Code provides those guardrails, defining how applications can operate, what resources they can access, and how they remain compliant at scale without slowing down innovation. Just as parents establish boundaries to help their children make safe and responsible decisions, platform engineering teams rely on policies to guide application behavior. The challenge is that setting rules alone is not enough; you also need visibility into whether they are being followed, where they are failing, and whether they are creating unintended consequences.

Without real-time observability, policy enforcement can become a black box, making it difficult to identify misconfigurations, compliance gaps, or obstacles to developer productivity before they impact production. This is where Policy as Code and Observability come together. Much like a parent needs feedback to understand how rules are working in practice, platform teams need continuous insight into policy outcomes across their clusters.

By combining Kyverno , a Kubernetes-native policy engine, with VictoriaMetrics , an open-source monitoring solution, teams can eliminate policy blind spots and gain a unified view of both compliance and system health, enabling them to scale governance without sacrificing visibility or developer velocity. Historically, cluster security and infrastructure observability have existed as two distinct silos within platform organizations. Security teams write policy rules, while reliability teams build dashboards. This framework changes that dynamic by treating policy enforcement as a primary telemetry data source.