What to look out for when migrating your data to the cloud; is it REALLY the right choice?
summary
Describes a full on‑prem to Azure migration and the tradeoffs with numbers: 60–85% fail rate for big data/lake projects, enterprises waste roughly 30% of cloud spend, and Cloudflare R2 free egress as an egress‑cost workaround. Calls out concrete pitfalls: lift‑and‑shift is fine for end‑of‑life hardware, egress and inter‑region traffic incur heavy fees, IOPS limitations hit Azure SQL MI (recently moved to paid IOPS), reservations give ~40–60% discounts but require long commitments, and multi‑cloud is common (92% of enterprises).
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chapters (33)
- 0:00Intro
- 0:36What is cloud
- 2:07Capital Expenditure vs Operational Expenditure
- 3:17Cloud Services
- 4:18New Companies
- 5:44Existing Company
- 7:13Numbers
- 8:10Multiple Cloud Vendors
- 10:23Cloud Updates
- 11:24Cloud is not supposed to be cheaper
- 12:22Data El Trap
- 13:37Upselling Trap
- 15:42Apps need to change
- 16:39Lifting a shift
- 18:52Network
- 20:28EAG fees
- 22:47DDoS attack
- 25:15Cloudflare
- 26:22Regions
- 27:07Balancing
- 28:57Bonus Tip
- 29:17Scaling
- 30:22Service specific
- 31:20Performance
- 33:04DBAs
- 33:55IOPS
- 36:10Reservation
- 38:16Storage
- 39:55Control
- 41:17DBA Role
- 42:13Key takeaways
- 44:45The world of learning has changed
- 46:20Additional tips
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