Infrastructure as Code (IaC)

インフラ構築をプログラムで自動化すること。

🌐 用語他の言語で:

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Modes: 1. One-way (Mirroring). 2. Two-way (Bidirectional). 3. Continuous (Real-time). Techniques: File-level vs Block-level sync, delta encoding, version vectors, last-writer-wins resolution.

        graph LR
  Center["Infrastructure as Code (IaC)"]:::main
  Rel_synthetic_biology["synthetic-biology"]:::related -.-> Center
  click Rel_synthetic_biology "/terms/synthetic-biology"
  classDef main fill:#7c3aed,stroke:#8b5cf6,stroke-width:2px,color:white,font-weight:bold,rx:5,ry:5;
  classDef pre fill:#0f172a,stroke:#3b82f6,color:#94a3b8,rx:5,ry:5;
  classDef child fill:#0f172a,stroke:#10b981,color:#94a3b8,rx:5,ry:5;
  classDef related fill:#0f172a,stroke:#8b5cf6,stroke-dasharray: 5 5,color:#94a3b8,rx:5,ry:5;
  linkStyle default stroke:#4b5563,stroke-width:2px;

🕸️ Open in Universe

🧒 5歳でもわかるように説明

たくさんのパソコンやサーバーを手作業で設定する代わりに、設定の「レシピ（命令書）」を書くようなものです。そのレシピを専用のプログラムに渡すと、自動で思い通りのネットワークを組み立ててくれます。

🤓 Expert Deep Dive

Technically, synchronization is governed by the 'CAP Theorem' (Consistency, Availability, Partition Tolerance). In a distributed system, you must trade off between 'Strong Consistency' (all nodes see the same data at the same time) and 'High Availability' (the system stays up even if some parts fail). 'Eventual Consistency' is a common model where the system guarantees that if no new updates are made, all nodes will eventually converge to the same state. Implementation methods include 'Change Data Capture' (CDC), which monitors database logs for changes, and 'Consensus [Algorithms](/ja/terms/consensus-algorithms)' like Raft or Paxos, which allow a cluster of servers to agree on a single 'Truth' in the presence of failures.

🧒 5歳でもわかるように説明

🤓 Expert Deep Dive

📚 出典