Boosting Cost Efficiency by Cost Aware Architecture
summary
Claims a 40% cost reduction by changing storage layout and instance choice, with concrete numbers: analysis of cost per TB-month and cost per million writes shows PUT and metadata charges drive spend, so consolidating many small objects into fewer large ones and selecting Infrequent Access / Glacier Deep Archive tiers cuts storage and operation bills; tagging with AWS Cost and Usage Report reveals hot paths; switching to r6gd2 instances yields ~24% compute savings. Trade-off is modest added retrieval complexity and slightly higher access latency.
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chapters (8)
- 0:00Introduction
- 1:11Cost drivers in cloud
- 3:00Cost optimization phases
- 6:14Storage tier trade-offs
- 10:55Architecture redesign example
- 13:04Choosing the right database
- 14:30Managed vs self-hosted
- 15:35Key takeaways
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