Designing a Distributed Cloud Database for Dummies

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Join Designing a Distributed Cloud Database for Dummies—the webinar. The webinar “stars” industry vet Patrick McFadin, best known among developers for his seven years at Apache Cassandra, where he held pivotal community roles. Register for the webinar today to learn: why you need distributed cloud databases, the technology you need to create the best used experience, the benefits of data autonomy and much more. View the recording: https://youtu.be/azC7lB0QU7E To explore all DataStax webinars: https://www.datastax.com/resources/webinars

Technologie

The Webinar!
1
Patrick McFadin
VP Developer Relations, DataStax
@PatrickMcFadin

What is a Distributed Cloud Database?
3
Private Cloud

What Makes a
Distributed Cloud
Database?
4

Masterless
5
Node 2
Node 1
Node 3
Node 4
No Single Point of Failure
Hard to Bring Down

Highly Performant
7
Source: https://econsultancy.com/blog/10936-site-speed-case-studies-tips-and-tools-for-improving-your-conversion-rate

10
133 ms
Looks like you want to go
faster than light. Can I help?
Yes No

Highly Performant
11
Source: https://econsultancy.com/blog/10936-site-speed-case-studies-tips-and-tools-for-improving-your-conversion-rate

Ready for Reality?
15
Node 2
Node 1
Node 3
Node 4 Node 2
Node 1
Node 3
Node 4
Data Center 1 Data Center 2

A Way of Life
18
https://principlesofchaos.org/

Not All Clouds are the Same
22
Deep LearningElastic Transcoder

Primary-Replica
• One server designated as Primary
• All changes must go through Primary
• Reads can be from the Replica
• Failure requires stopping applications and
moving Primary to one of the Replicas
• Scaling writes requires sharding
Primary
Replica
Client
Read and Write
Read
Copy

Sharding
25
Primary
shard 1
Primary
shard 2
Primary
shard 3
Primary
shard 4
App Server
client

Master-Master
• Multiple servers designated at Primary
• Clients read and write to a specific Primary
• Primaries resolve change conflicts
between each other
• Each node has 100% of data
• On failure, clients need to fail to another
primary
• Conflict management prohibits multi-
datacenter
Primary
Primary
Client
Read and Write
Conflict
Resolution
Read and Write

28
Distributed Architectures Added
to an Existing Database*
*Watch out for fine print

Masterless
• Also known as Peer-to-Peer or Shared
Nothing
• Each node stores part of the total data with
overlap
• Clients can write to any node
• Optimized for working across multiple
geographic locations
• On node failure, client continues to talk to
online nodes
Client

Cassandra was Built for This!
30
Dynamo Paper (2007) Cassandra Paper (2008)

The Benefits
31
Build Application in
AWS
CEO Tells you to
move to Google
Cloud
Did You Use
Apache
Cassandra™?

No We Did Not
32
Bring Up
Application Stack
in Google
Create new
Database in
Google
Bring up New
Application Stack
Copy Data to New
Database
Downtime

Yes We Did!
33
Bring Up
Application Stack
in Google
Extend Cluster in
Google
Bring up New
Application Stack
No Downtime!

34
Apache Cassandra™ is the only database
that can do this.

Built for the Future
38
• Cassandra was born to do hybrid cloud from day one
• DataStax is devoted to making developers successful
• Put them together. Successful Hybrid Strategy

Learn More!
39
DS201: DataStax Enterprise 6
Foundations of Apache Cassandra™
DS220: DataStax Enterprise 6
Practical Application Data Modeling
with Apache Cassandra™

Questions!
Don’t forget to follow me @PatrickMcFadin
40

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Designing a Distributed Cloud Database for Dummies

1. The Webinar! 1 Patrick McFadin VP Developer Relations, DataStax @PatrickMcFadin

2. What is a Distributed Cloud Database? 2

3. What is a Distributed Cloud Database? 3 Private Cloud

4. What Makes a Distributed Cloud Database? 4

5. Masterless 5 Node 2 Node 1 Node 3 Node 4 No Single Point of Failure Hard to Bring Down

6. Scale for size 6 Node Count Data Volume

7. Highly Performant 7 Source: https://econsultancy.com/blog/10936-site-speed-case-studies-tips-and-tools-for-improving-your-conversion-rate

8. Why a Distributed Cloud Database??? 8

9. 9

10. 10 133 ms Looks like you want to go faster than light. Can I help? Yes No

11. Highly Performant 11 Source: https://econsultancy.com/blog/10936-site-speed-case-studies-tips-and-tools-for-improving-your-conversion-rate

12. 12 Angry Users Don’t Give You Money

13. 13 Happy Users Give You Money

14. Resilience 14

15. Ready for Reality? 15 Node 2 Node 1 Node 3 Node 4 Node 2 Node 1 Node 3 Node 4 Data Center 1 Data Center 2

16. Remember AWS:Reboot? 16

17. Break it on Purpose! 17

18. A Way of Life 18 https://principlesofchaos.org/

19. 19 Angry Users Don’t Give You Money

20. 20 Happy Users Give You Money

21. Choice in Cloud Services 21

22. Not All Clouds are the Same 22 Deep LearningElastic Transcoder

23. Why Won’t Existing Technology Work? 23

24. Primary-Replica • One server designated as Primary • All changes must go through Primary • Reads can be from the Replica • Failure requires stopping applications and moving Primary to one of the Replicas • Scaling writes requires sharding Primary Replica Client Read and Write Read Copy

25. Sharding 25 Primary shard 1 Primary shard 2 Primary shard 3 Primary shard 4 App Server client

26. 26 Scaling Does Not Have to be Shard

27. Master-Master • Multiple servers designated at Primary • Clients read and write to a specific Primary • Primaries resolve change conflicts between each other • Each node has 100% of data • On failure, clients need to fail to another primary • Conflict management prohibits multi- datacenter Primary Primary Client Read and Write Conflict Resolution Read and Write

28. 28 Distributed Architectures Added to an Existing Database* *Watch out for fine print

29. Masterless • Also known as Peer-to-Peer or Shared Nothing • Each node stores part of the total data with overlap • Clients can write to any node • Optimized for working across multiple geographic locations • On node failure, client continues to talk to online nodes Client

30. Cassandra was Built for This! 30 Dynamo Paper (2007) Cassandra Paper (2008)

31. The Benefits 31 Build Application in AWS CEO Tells you to move to Google Cloud Did You Use Apache Cassandra™?

32. No We Did Not 32 Bring Up Application Stack in Google Create new Database in Google Bring up New Application Stack Copy Data to New Database Downtime

33. Yes We Did! 33 Bring Up Application Stack in Google Extend Cluster in Google Bring up New Application Stack No Downtime!

34. 34 Apache Cassandra™ is the only database that can do this.

35. 35 The Apache Cassandra™ experts

36. What Cloud Do We Recommend? 36

37. 37 We Do Not Care

38. Built for the Future 38 • Cassandra was born to do hybrid cloud from day one • DataStax is devoted to making developers successful • Put them together. Successful Hybrid Strategy

39. Learn More! 39 DS201: DataStax Enterprise 6 Foundations of Apache Cassandra™ DS220: DataStax Enterprise 6 Practical Application Data Modeling with Apache Cassandra™

40. Questions! Don’t forget to follow me @PatrickMcFadin 40

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