Differences

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--- ai_disaster_recovery [2025/05/26 14:43] – [Use Cases] eagleeyenebula
+++ ai_disaster_recovery [2025/05/26 14:44] (current) – [Best Practices] eagleeyenebula
@@ Line 187: / Line 187: @@
 . **Granular Checkpoints**:
-   - Save checkpoints at critical pipeline steps (e.g., post-feature extraction, model training).
+   * Save checkpoints at critical pipeline steps (e.g., post-feature extraction, model training).
 . **Logging and Debugging**:
-   - Leverage logging to monitor checkpoint creation and rollback actions.
+   * Leverage logging to monitor checkpoint creation and rollback actions.
 . **Serialization**:
-   - Use serialization (e.g., `pickle`, `JSON`, or database) for persistent checkpoint management, especially in distributed systems.
+   * Use serialization (e.g., **pickle**, **JSON**, or database) for persistent checkpoint management, especially in distributed systems.
 . **Version Control**:
-   - Employ versioning for checkpoints to avoid overwriting critical recovery points.
+   * Employ versioning for checkpoints to avoid overwriting critical recovery points.
 . **Secure Recovery**:
-   - When using external storage (e.g., cloud), ensure encryption to secure sensitive pipeline states.
+   * When using external storage (e.g., cloud), ensure encryption to secure sensitive pipeline states.
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 ===== Conclusion =====