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Layered Caching in Container Deployment: Why Your DevOps Team Reuses Base Images
容器部署中的分层缓存：为何运维团队反复复用基础镜像
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Modern CI/CD pipelines rely on Docker image layering to accelerate builds across development, testing, and staging environments.
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Each instruction in a Dockerfile creates a new read-only layer, and unchanged layers are reused from local or remote caches without re-execution.
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When developers update only application code—not the OS or runtime—the build skips rebuilding dozens of upstream layers instantly.
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This caching strategy reduces average deployment time by 60–85% while cutting bandwidth usage during image pulls from registries.
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However, stale base layers can introduce unpatched CVEs if teams neglect periodic base-image refresh policies and automated vulnerability scans.
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Effective layer hygiene requires tagging images with SBOMs, enforcing signed pull policies, and auditing layer provenance in production clusters.