Amazon Aurora: A deep-dive into what's new

on YouTube ↗55m

" summary

Amazon Aurora separates storage into a scaleout service that writes only redo log records to six copies and commits after a 4-out-of-6 quorum, reducing network IO to ~0.9 IOs/transaction and sustaining ~35x more throughput in a benchmark. Claims include up to 100k writes/sec and 625k reads/sec on r3.8x, replica lag under 20 ms, ~10s crash recovery, zero‑downtime patching, fast DDL, Select INTO S3 and Lambda invocation from stored procedures.

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" chapters (36)

1. 0:00Intro
2. 0:19Agenda
3. 0:43Amazon Aurora
4. 1:31Re-imagining the relational database
5. 2:25Scale-out, distributed, multi-tenant architecture
6. 4:47Leveraging cloud ecosystem
7. 7:56Automate administrative tasks
8. 9:01Aurora customer adoption
9. 9:24Who is moving to Aurora and why?
10. 11:48Recent announcements
11. 12:42MySQL compatibility
12. 13:54Aurora Performance Tenets
13. 20:2610 traffic in Aurora (Database Node)
14. 24:1910 traffic in Aurora (Storage Node)
15. 27:1110 traffic in Aurora Replicas
16. 31:48Real-life data - read replica latency
17. 32:56Asynchronous group commits
18. 35:02Adaptive thread pool
19. 35:33Aurora lock management
20. 36:19Scaling with instance sizes
21. 38:07Faster index build (Aug 2016)
22. 38:31Hot row contention (Nov 2016)
23. 39:25Insert performance (Dec 2015)
24. 40:48Non-cached read performance (Dec 2016)
25. 41:19High Performance Auditing (Jan 2017)
26. 41:57Fast DDL: Aurora vs. MySQL (Mar 2017)
27. 42:41Fast DDL Roadmap
28. 43:166-way replicated storage
29. 44:05Storage Durability
30. 44:44Continuous Backup and Point-in-Time Restore
31. 45:27Survivable Caches
32. 45:53Faster Fail-Over
33. 46:31Zero downtime patching (Dec 2016)
34. 47:22Zero downtime patching - current constraints
35. 48:12What is database backtrack ? Planned for June 2017
36. 49:05Near-term Roadmap (3-6 month plan)

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