📢 Cost-Optimized Data Retention Strategy for Financial Records in AWS📢

🔒 When managing large volumes of financial trading data,like 17TB that must be retained for seven years — it’s essential to balance compliance, accessibility, and cost efficiency. Since records older than one year are rarely accessed, keeping all data in high-performance storage would lead to unnecessary expenses.

🏦 A smarter approach is to store the data in Amazon S3 and apply lifecycle policies. After one year, the data can automatically transition to Amazon Glacier, significantly reducing storage costs while still maintaining durability and compliance with retention requirements.

🔱 This strategy ensures that recent data remains quickly accessible, while older, infrequently accessed records are stored in a more economical tier. Retrieval from Glacier may take a few hours, but this is a reasonable trade-off given the low likelihood of access and the cost savings achieved over time.

Tip 💡

Design your storage architecture based on access patterns, not just retention requirements — this is key to optimizing cloud costs.

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