AWS Certified Solutions Architect - Associate
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A company needs to retain application log files for a critical application for 10 years. The application team regularly accesses logs from the past month for troubleshooting, but logs older than 1 month are rarely accessed. The application generates more than 10 TB of logs per month. Which storage option meets these requirements MOST cost-effectively?
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A
Store the logs in Amazon S3. Use AWS Backup to move logs more than 1 month old to S3 Glacier Deep Archive.
B
Store the logs in Amazon S3. Use S3 Lifecycle policies to move logs more than 1 month old to S3 Glacier Deep Archive.
C
Store the logs in Amazon CloudWatch Logs. Use AWS Backup to move logs more than 1 month old to S3 Glacier Deep Archive.
D
Store the logs in Amazon CloudWatch Logs. Use Amazon S3 Lifecycle policies to move logs more than 1 month old to S3 Glacier Deep Archive.
Explanation:
Explanation
Correct Answer: B
Why Option B is correct:
- Amazon S3 is the most cost-effective storage for large volumes of logs (10+ TB per month)
- S3 Lifecycle policies provide automated, cost-effective tiering to S3 Glacier Deep Archive
- S3 Glacier Deep Archive is specifically designed for long-term retention (10 years) with very low storage costs
- Direct S3 integration with Lifecycle policies eliminates the need for additional services like AWS Backup
Why other options are incorrect:
- Option A: AWS Backup is designed for backup and recovery operations, not for automated lifecycle management of log files. It adds unnecessary complexity and cost.
- Option C & D: Amazon CloudWatch Logs is not cost-effective for storing 10+ TB of logs per month. CloudWatch Logs is optimized for real-time log analysis and monitoring, not for long-term archival storage at this scale.
Key considerations:
- Cost optimization: S3 Standard for frequently accessed recent logs (past month) + S3 Glacier Deep Archive for long-term retention
- Automation: S3 Lifecycle policies automatically transition objects based on age
- Scalability: S3 can handle massive volumes of data (10+ TB/month)
- Compliance: 10-year retention requirement is well-suited for S3 Glacier Deep Archive
- Access patterns: Recent logs (≤1 month) in S3 Standard for troubleshooting, older logs in Glacier Deep Archive for rare access
Best practice implementation:
- Store logs directly in Amazon S3
- Configure S3 Lifecycle policy to transition objects to Glacier Deep Archive after 30 days
- Use S3 Intelligent-Tiering for recent logs if access patterns are unpredictable
- Consider S3 Glacier Deep Archive retrieval options based on access frequency of older logs
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