Cloud Storage Optimization
Table of Contents
Overview
Optimize cloud storage costs and performance across multiple cloud providers using compression, intelligent tiering, data partitioning, and lifecycle management. Reduce storage costs while maintaining accessibility and compliance requirements.
When to Use
- Reducing storage costs
- Optimizing data access patterns
- Implementing tiered storage strategies
- Archiving historical data
- Improving data retrieval performance
- Managing compliance requirements
- Organizing large datasets
- Optimizing data lakes and data warehouses
Quick Start
Minimal working example:
Reference Guides
Detailed implementations in the references/ directory:
Best Practices
✅ DO
- Use Parquet or ORC formats for analytics
- Implement tiered storage strategy
- Partition data by time and queryable dimensions
- Enable versioning for critical data
- Use compression (gzip, snappy, brotli)
- Monitor storage costs regularly
- Implement data lifecycle policies
- Archive infrequently accessed data
❌ DON'T
- Store uncompressed data
- Keep raw logs long-term
- Ignore storage optimization
- Use only hot storage tier
- Store duplicate data
- Forget to delete old test data
