Accelerate your cloud architectures with the right storage options

on YouTube ↗29m

" summary

Covers concrete choices and numbers: Amazon S3 stores 200 trillion objects and serves 100+ million requests/sec, S3 Intelligent‑Tiering saves >$250M to date and S3 Select yields up to 400% faster queries; io2 Block Express delivers 256k IOPS, 4,000 MB/s, 64 TB for sub‑millisecond latency. Maps workloads to services: FSx (Windows, NetApp ONTAP, Lustre, OpenZFS), EFS as serverless NFS, File/Volume/Tape Gateways for hybrid backup, and S3+Glue+SageMaker as the data‑lake analytic stack. Specific protocols, IOPS, latency, and migration paths guide choices.

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" chapters (24)

1. 0:00Intro
2. 1:57Data growth in machine learning models
3. 4:38Your choice of Amazon S3 storage classes
4. 5:56Amazon S3 Lifecycle tiers data to optimise storage costs
5. 6:21File workloads: broad spectrum
6. 6:46There are really three objectives that matter most to customers across the spectrum
7. 7:51Amazon file storage portfolio
8. 9:20What is your file protocol? AMS FILE STORAGE AVAILABLE FOR WINDOWS, MULTIPROTOCOL, OR LINUX DATA ACCESS
9. 9:50Do you have specific application needs?
10. 10:53Do you have specific enterprise feature needs?
11. 11:55Common misconceptions and questions
12. 14:14Decision criteria
13. 15:15Common customer scenarios
14. 15:27Migrating existing applications to the cloud
15. 17:18Choosing the right file system (NAS)
16. 18:12Backing up data to the cloud
17. 20:56Hybrid - Using cloud storage with on-premises applications
18. 22:22Amazon S3 File Gateway vs Amazon FSx File Gateway
19. 23:29Scenario: Amazon S3 File Gateway for archive
20. 24:20Scenario 4: Building a data lake
21. 24:53Amazon S3 is a popular choice for cloud data lakes
22. 26:36A simplified journey of data in analytics
23. 27:28Building a new application for storage
24. 27:51Design for agility

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