Atomics Habits in cost optimizations in the cloud
summary
Saved 45% on cloud bills—about $900,000/year for one GCP project—by combining measurable steps: build a cost dashboard with labels to attribute spend, choose VM types by execution-time × price (t2d standard 4 wins in CPU-bound XML parsing), replace paid external data-shuffle with local SSD shuffle to avoid per-GB charges, use GCP Profiler and Java microbenchmarks to spot hot O(n) lookups and fix them (swap list scans for hashed sets), and migrate legacy licensed DBs to cloud-native services.
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chapters (8)
- 0:00Introduction to Atomic Habits
- 4:47Cloud cost savings story
- 6:58Build cost tracking dashboards
- 7:41Choose cost-efficient VMs
- 12:02Avoid default expensive solutions
- 15:15Optimize application processing
- 17:25Re-architect legacy systems
- 18:51Q&A and closing
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