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Automate Atlas Backups Transfer to S3 for Cost-Effective and Long-Term Archival

Blog post from MongoDB

Post Details
Company
Date Published
Author
-
Word Count
1,524
Company Posts That Month
26
Language
English
Hacker News Points
-
Post removed?
No
Summary

As organizations expand their digital footprints, managing and protecting growing data volumes becomes crucial, with backups serving as essential insurance against system failures, cyberattacks, and human errors. However, the cost of these backups rises with data volume and retention period, necessitating strategic planning to balance cost, compliance, and recoverability. The text emphasizes optimizing long-term backup storage for large datasets in MongoDB Atlas by automating exports to AWS S3, leveraging a step-by-step guide to streamline the process. Key steps include integrating MongoDB Atlas with AWS S3, setting up API keys for secure access, configuring IAM policies, and monitoring the backup export process to ensure data integrity and compliance. By implementing this approach, organizations can reduce storage costs, enhance data lifecycle management, and maintain operational resilience while meeting compliance standards, ultimately achieving data autonomy and ensuring their MongoDB environment is scalable and ready to recover as business needs evolve.

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