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Scale fearlessly with Amazon DynamoDB adaptive capacity - ADB302 - Santa Clara AWS Summit

This document discusses Amazon DynamoDB's adaptive capacity capabilities. It describes how DynamoDB can automatically scale throughput and storage through dynamic partitioning to accommodate changing workloads. The new instant adaptive capacity feature allows partitions to instantly respond to traffic changes without lag. The document also compares provisioned and on-demand modes, noting that on-demand allows unlimited, pay-per-request scaling while provisioned requires capacity planning.

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© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Scale fearlessly with Amazon
DynamoDB adaptive capacity
Kai Zhao
Senior Product Manager
Amazon DynamoDB
A D B 3 0 2
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
25x increase
Requestsperhour
900 writes/sec
25,000 writes/sec
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Objectives
Use DynamoDB more effectively
How DynamoDB scaling really works, from 1 RPS to millions of RPS
What’s new in adaptive capacity
When to use provisioned mode vs. on-demand mode
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Related sessions (online)
DAT201 – What’s New For Amazon DynamoDB
Tony Petrossian, Jeff Wierer
DAT321 – Amazon DynamoDB Under the Hood
Jaso Sorensen
DAT401 – Advanced Design Patterns for DynamoDB
Rick Houlihan
S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
Database capacity planning

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Scale fearlessly with Amazon DynamoDB adaptive capacity - ADB302 - Santa Clara AWS Summit

  • 1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Scale fearlessly with Amazon DynamoDB adaptive capacity Kai Zhao Senior Product Manager Amazon DynamoDB A D B 3 0 2
  • 2. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T 25x increase Requestsperhour 900 writes/sec 25,000 writes/sec
  • 3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Objectives Use DynamoDB more effectively How DynamoDB scaling really works, from 1 RPS to millions of RPS What’s new in adaptive capacity When to use provisioned mode vs. on-demand mode
  • 4. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Related sessions (online) DAT201 – What’s New For Amazon DynamoDB Tony Petrossian, Jeff Wierer DAT321 – Amazon DynamoDB Under the Hood Jaso Sorensen DAT401 – Advanced Design Patterns for DynamoDB Rick Houlihan
  • 5. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  • 6. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Database capacity planning
  • 7. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Vertical scaling
  • 8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T
  • 9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Scaling NoSQL DBsHorizontal scaling
  • 10. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T The uneven access problem common to NoSQL across data and time
  • 11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Just design for uniform access to your data, right? Can be quite difficult in practice Most NoSQL databases aren’t very forgiving If your database isn’t flexible, you must handle more in your application How does DynamoDB solve this for customers?
  • 12. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  • 13. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T DynamoDB adapts to your application, not vice versa
  • 14. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Core functions of adaptive capacity Dynamic partitioning Throughput governance
  • 15. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  • 16. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 T1.p1 Table1 Table2 Table3 Server N T1.p2 Behind the scenes…
  • 17. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T T1 Server 1 p.A Storage scaling
  • 18. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 T1 Server 2 A B Storage scaling
  • 19. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 T1 Server 2 A B Storage scaling
  • 20. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 T1 Server 2 Server 3 A B C Storage scaling
  • 21. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 T1 Server 2 Server 3 A B C Storage scaling
  • 22. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 T1 Server 4 Server 2 Server 3 A D B C Storage scaling
  • 23. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Scenario: Census application Statistics Canada (Canada's national statistical agency) hires you to build an online census application. You choose DynamoDB with the following key schema: Partition key: province Sort key: id
  • 24. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T What you didn’t realize…
  • 25. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  • 26. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 Table Server 2 Server 3 Server 4 Census traffic 64% Ontario, Quebec, Newfoundland, and Labrador Prince Edward Island British Columbia, Alberta, Saskatchewan Manitoba, Nova Scotia, Northwest Territories New Brunswick, Nunavut, Yukon 28% 6% 2%
  • 27. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Dynamic partitioning
  • 28. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Dynamic partitioning
  • 29. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 Server 2 Server 3 Server 4 Dynamic partitioning – behind the scenes Ontario, Quebec, Newfoundland, and Labrador Prince Edward Island British Columbia, Alberta, Saskatchewan Manitoba, Nova Scotia, Northwest Territories New Brunswick, Nunavut, Yukon
  • 30. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 2 Server 3 Server 4 Dynamic partitioning – behind the scenes British Columbia, Alberta, Saskatchewan Manitoba, Nova Scotia, Northwest Territories New Brunswick, Nunavut, Yukon Server 1 Ontario Server 5 Quebec, Newfoundland and Labrador, Prince Edward Island
  • 31. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 2 Server 3 Server 4 Dynamic partitioning – behind the scenes British Columbia, Alberta, Saskatchewan Manitoba, Nova Scotia, Northwest Territories New Brunswick, Nunavut, Yukon Server 1 Ontario.A Server 5 Quebec, Newfoundland and Labrador, Prince Edward Island Server 6 Ontario.B
  • 32. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 7 Server 3 Server 4 Dynamic partitioning – behind the scenes Alberta, Saskatchewan Manitoba, Nova Scotia, Northwest Territories New Brunswick, Nunavut, Yukon Server 1 Ontario.A Server 5 Quebec, Newfoundland and Labrador, Prince Edward Island Server 6 Ontario.B Server 2 British Columbia
  • 33. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Summary of dynamic partitioning DynamoDB adapts to your application, not vice versa Automatic partitioning to equalize storage and throughput Throughput-based partitioning currently available for on-demand mode
  • 34. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Table (items) Per-item limits: 1,000 writes per sec 6,000 reads per sec (EC)
  • 35. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T DynamoDB Key Diagnostics Library Graphs of frequently accessed items Lightweight wrapper around DynamoDB SDK AWS CloudFormation template
  • 36. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  • 37. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 T1 Server 4 Server 2 Server 3 A D B C Adaptive capacity governance in 2018 A
  • 38. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 Server 4 Server 2 Server 3 D B C Adaptive capacity governance in 2018 AA T1
  • 39. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Adaptive capacity governance in 2018 Pros: Accommodates imbalanced workloads Helps you be more efficient (provision fewer WCUs and RCUs) Cons: Reactive process with 5–30 minute response
  • 40. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T New in 2019 – Instant adaptive capacity No more response time Partitions respond instantly in response to changing traffic
  • 41. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 T1.p1 Table1 Table2 Table3 Server N T1.p2 Instant adaptive capacity – How it works
  • 42. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 T1.p1 Table1 Table2 Table3 Server N T1.p2 Instant adaptive capacity – How it works
  • 43. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 T1.p1 Table1 Table2 Table3 Server N T1.p2 Instant adaptive capacity – How it works
  • 44. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Server 1 T1.p1 Table1 Table2 Table3 Server N T1.p2 Instant adaptive capacity – How it works
  • 45. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Instant adaptive capacity DynamoDB looks at what your table can do, not what partitions can do. Key benefits: • Instantly accommodates imbalanced workloads • Sustains imbalanced workloads indefinitely • Helps you reduce your DynamoDB bill • On by default, no extra cost
  • 46. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Get massive scalability and consistent performance without worrying about partitions and uneven access patterns
  • 47. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  • 48. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T DynamoDB on-demand Features • No capacity planning, provisioning, or reservations—simply make API calls • Pay only for the reads and writes you perform Key benefits • Eliminates tradeoffs of overprovisioning or underprovisioning • Instantly accommodates your workload as traffic ramps up or down
  • 49. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T What are the maximum scaling capabilities of on-demand mode?
  • 50. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T On-demand scaling properties Minimum throughput • Up to 4,000 write request units (WRU): 4,000 writes per second • Up to 12,000 read request units (RRU): 24,000 EC reads per second • Any linear combination of the two Maximum throughput • Unlimited! Pay per request: use nothing, pay nothing
  • 51. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T DynamoDB request rate Maximum throughput “Up to twice your previous peak”
  • 52. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T “Up to twice your previous peak”
  • 53. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Dynamic partitioning
  • 54. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Instant high throughput
  • 55. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Things to keep in mind Initial doubling takes up to 30 minutes Subsequent traffic scales instantly Continuously monitored • No need to achieve 2x previous peak to get more throughput • Gracefully accommodates growth without throttling
  • 56. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T On-demand mode use case – Infrequent workloads
  • 57. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Business impact
  • 58. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T When to use provisioned vs. on-demand Use provisioned mode for: • Steady workloads • Gradual ramps • Events with known traffic • Ongoing monitoring Use on-demand mode for: • Unpredictable workloads • Frequently idle workloads • Events with unknown traffic • “Set it and forget it” Consider your tolerance for operational overhead and overprovisioning
  • 59. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  • 60. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T DynamoDB adaptive capacity at a glance Provisioned Mode On-demand mode Governance Instant (provisioned capacity) Instant (account limits) Default limits (increasable) 40,000 WCU, 40,000 RCU 40,000 WRU, 40,000 RRU Dynamic partitioning (storage) Automatic Automatic Dynamic partitioning (throughput) Not available yet Automatic Key Diagnostics Library Supported Supported
  • 61. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.S U M M I T Key takeaways DynamoDB adapts to your application, not vice versa Scale up or down at will, even with skewed data access patterrns Focus on application traffic to your table and items, not on partitions Provisioned mode for gradual ramps, on-demand mode for spikes
  • 62. Thank you! S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Kai Zhao kazh@amazon.com
  • 63. S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.