The document discusses building global, multi-region serverless backends using AWS services like DynamoDB Global Tables. It covers system reliability and availability, why to build multi-region architectures, and how to do so on AWS. Key points include using DynamoDB Global Tables for data replication across regions, services like S3 and RDS for cross-region replication, and Route53 for traffic routing between regions. A hands-on demo then shows building a multi-region serverless app with DynamoDB, Lambda, API Gateway and Route53.

1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Adrian Hornsby, Cloud Architecture Evangelist
@adhorn
Building Global, Multi-Region
Serverless Backends
(powered by DynamoDB Global Tables)

2. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Session objectives
1. Understand System Reliability and Availability.
2. Understand why we build a Multi-Region Active-Active architecture.
3. Understand how to build a Multi-Region Active-Active architecture
on AWS.
4. Hands-on Demo: Building Multi-Region Serverless App.
5. Conclusion.

3. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
System Reliability and Availability

4. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Failures are a given and
everything will eventually
fail over time.
Werner Vogels
CTO – Amazon.com
“ “

5. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
System failure rate
Early Failures
Wear Out Failures
Observed Failures
Random Failures

6. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
System failure rate
For high-velocity deployments
Early Failures
Wear Out Failures
Observed Failures
Random Failures

7. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
System Availability
Availability =
Normal Operation Time
Total Time
MTBF**
MTBF** + MTTR*
=
* Mean Time To Repair (MTTR)
**Mean Time Between Failure (MTBF)

8. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Availability
Availability Downtime per year Categories
95% (1-nine) 18 days 6 hours
Batch processing, Data extraction,
Load jobs.
99% (2-nines) 3 days 15 hours Internal Tools, Project Tracking
99.9% (3-nines) 8 hours 45 minutes Online Commerce
99.99% (4-nines) 52 minutes Video Delivery, Broadcast systems
99.999% (5-nines) 5 minutes Telecom Industry (ATM Transactions)
99.9999% (6-nines) 31 seconds Answering to my loved one*
* Joke J
http://royal.pingdom.com/wp-content/uploads/2015/04/pingdom_uptime_cheat_sheet.pdf

9. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Availability in Series
Part X Part Y
A = Ax Ay

10. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Availability in Series
Component Availability Downtime
X 99% (2-nines) 3 days 15 hours
Y 99.99% (4-nines) 52 minutes
X and Y Combined 98.99% 3 days 16 hours 33 minutes

11. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Availability in Parallel
A = 1 – (1 – Ax)2
Part X
Part X

12. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Availability in Parallel
Component Availability Downtime
X 99% (2-nines) 3 days 15 hours
Two X in parallel 99.99% (4-nines) 52 minutes
Three X in parallel 99.9999% (6-nines) 31 seconds

13. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
“Component redundancy increases
availability significantly!”

14. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Availability Zone A Availability Zone B Availability Zone C
AWS Region

15. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Availability Zone A Availability Zone B Availability Zone C
Multi-AZ Well-Architected
Application

16. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon
DynamoDB
Amazon
RDS
Amazon
ElastiCache
Amazon
S3
Amazon
EFS
Amazon
SQS
Amazon
Kinesis
Amazon
ElasticSearch
Default
Configurable for
multi-AZ deployment
Some of the Regional AWS Services
AWS
Lambda
Amazon
API Gateway
AWS
ELB

17. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Regional services
AZ1 AZ2 AZ3
Service XYZ

18. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
No servers to provision
or manage
Scales with usage
Never pay for idle Availability and fault
tolerance built in
Why Serverless components??

19. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
• 18 Geographic Regions
• 50 Availability Zones (AZs)
• 4 regions and 12 more Availability Zones announced

20. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Cost of Availability (approx.)
Cost
Availability
Complexity

21. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Generally speaking a reliable machine has high
availability but an available machine may or
may not be very reliable.

22. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
On reliability
Ability of a system to :
1. Recover from infrastructure or service disruptions
2. Dynamically acquire computing resources to meet demand
3. Mitigate disruptions such as misconfigurations or transient network issues.

23. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
2 important lesson learned

24. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Exponential Backoff

25. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Message passing for async. patterns
A
Queue
B
A
Queue
BListener
Pub-Sub

26. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Web
Instances
Worker
Instance
Worker
Instance
Queue
API
Instance
API
Instance
API
Instance
API: {DO foo}
PUT JOB: {JobID: 0001, Task: DO foo}
API: {JobID: 0001}
GET JOB: {JobID: 0001, Task: DO foo}
Cache
Result:
{
JobID: 0001,
Result: bar
}

27. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Worker
Instance
Worker
Instance
Queue
API
Instance
API
Instance
API
Instance
Cache
Amazon SNS
Push Notification
User

28. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Well-Architected Framework
Operational Excellence
Security
Reliability
Performance Efficiency
Cost Optimization
https://aws.amazon.com/architecture/well-architected/

29. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Why build a Multi-Region
Active-Active architecture?

30. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Why Multi-Region?
1. Improve Latency for end-users
~300ms
~140ms

31. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Why Multi-Region?
1. Improve Latency for end-users
2. Disaster Recovery
Applications
in US West
Applications
in US East
Users from
San Francisco
Users from
New York
Service 1
Service 2
Service 3
Service 4
Service 1
Service 2
Service 3
Service 4

32. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Why Multi-Region?
1. Improve Latency for end-users
2. Disaster Recovery
3. Business Requirements

33. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Netflix 2013

34. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Netflix 2016

35. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Chaos Engineering

36. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
How to build a Multi-Region Architecture on
AWS.

37. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Data Replication
Component A
Component B
Component C
Latency < 5 ms
Synchronous Asynchronous
Latency > 5 ms

38. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Process A Process B Process A Process B
Synchronous Asynchronous
Waiting
Working
Continues
get or fetch resultGet result

39. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Reliable & Secure Network
AWS Region
A
AWS Region
B
Amazon Global Network

40. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
James Hamilton – 2016 re:Invent
Vice President & Distinguished Engineer

43. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Multi-Region Multi-VPC Connectivity

44. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
S3 - Cross-Region Replication

45. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Cross-Region Read Replicas for Amazon RDS
** For Aurora, MySQL,
MariaDB and PostgreSQL
engines.

46. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
“Simple” Cross-Region Usage Pattern
• Regional Reads
• All critical writes traffic
to a single master

47. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Aurora multi-master - scale out reads & writes
First MySQL compatible DB service with scale-out across multiple data centers
Zero application downtime from ANY instance failure
Zero application downtime from ANY AZ failure
Faster write performance and higher scale
Sign up for single-region multi-master preview today;
Multi-Region Multi-Master coming in 2018
Availability
Zone 1
Scale out both reads and writes
Availability
Zone 2
Availability
Zone 3
Application
Read/Write
Master 1
Shared distributed storage volume
Read/Write
Master 2
Read/Write
Master 3

48. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon DynamoDB
Fast and flexible NoSQL database service for any scale
Fast, consistent
performance
Highly scalable Fully managed Business critical
reliability
Consistent single-digit millisecond
latency; DAX in-memory
performance reduces response
times to microseconds
Auto-scaling to hundreds
of terabytes of data that
serve millions of
requests per second
Automatic provisioning,
infrastructure
management, scaling,
and configuration with
zero downtime
Data is replicated across
fault tolerant Availability
Zones, with fine-grained
access control
The
imag
e
part
with
relati
onshi
p ID
rId3
was
not
foun
d in
the
file.

49. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Prime Day 2017 Metrics
Block Storage – Use of Amazon Elastic Block Store (EBS) grew by 40% year-over-year, with
aggregate data transfer jumping to 52 petabytes (a 50% increase) for the day and total I/O requests
rising to 835 million (a 30% increase).
NoSQL Database – Amazon DynamoDB requests from Alexa, the Amazon.com sites, and the Amazon
fulfillment centers totaled 3.34 trillion, peaking at 12.9 million per second.
Stack Creation – Nearly 31,000 AWS CloudFormation stacks were created for Prime Day in order to
bring additional AWS resources on line.
API Usage – AWS CloudTrail processed over 50 billion events and tracked more than 419 billion, all in
support of Prime Day.
Configuration Tracking – AWS Config generated over 14 million Configuration items for AWS resources.

50. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon DynamoDB Global Tables (GA)
First fully managed, multi-master, multi-region database
Build high performance, globally distributed applications
Low latency reads & writes to locally available tables
Disaster proof with multi-region redundancy
Easy to set up and no application rewrites required
Globally dispersed users
Replica (N. America)
Replica (Europe)
Replica (Asia)
Global App
Global Table

51. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon DynamoDB Streams
• Each stream record appears exactly once in the stream.
• For each item that is modified in a DynamoDB table, the
stream records appear in the same sequence as the actual
modifications to the item
Amazon
DynamoDB
AWS
Lambda
Streams

52. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Route 53
• AWS’s Authoritative Domain Name Service.
• Highly available and scalable.
• Supports Traffic Flow through a variety of routing, all
of which can be combined with DNS Failover.
• Enable a variety of low-latency, fault-tolerant
architectures.

53. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Traffic Routing with Route53
1. Latency Based Routing
Amazon
Route53
Resource A
Resource B
137ms latency
76ms latency

54. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Traffic Routing with Route53
1. Latency Based Routing
2. Geo DNS
Amazon
Route53
Resource A
In US
Resource B
in EU
User in US

55. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Traffic Routing with Route53
1. Latency Based Routing
2. Geo DNS
3. Weighted Round Robin
Amazon
Route53
Resource A
In US
Resource B
in EU

56. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Traffic Routing with Route53
1. Latency Based Routing
2. Geo DNS
3. Weighted Round Robin
4. DNS Failover
Amazon
Route53
Resource A
In US
Resource B
in EU
User in US

57. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Hands-on Demo:
Building Multi-Region Serverless Application

58. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon
DynamoDB
AWS LambdaAmazon API
Gateway
Amazon
DynamoDB
AWS LambdaAmazon API
Gateway
Amazon
Route53
eu-west-1
us-east-1
GlobalTables
https://globalddb.adhorn.me/

59. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon
DynamoDB
Amazon
DynamoDB
eu-west-1
us-east-1
GlobalTables

60. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

61. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

62. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

63. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

64. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

65. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon
DynamoDB
AWS Lambda
Amazon
DynamoDB
AWS Lambda
eu-west-1
us-east-1
GlobalTables

66. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS Lambda Function

67. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon
DynamoDB
AWS LambdaAmazon API
Gateway
Amazon
DynamoDB
AWS LambdaAmazon API
Gateway
eu-west-1
us-east-1
GlobalTables

68. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
us-west-2
us-east-1
Client
Amazon
Route 53
Regional
API
Endpoint
Regional
API
Endpoint
Custom
Domain
Name
Custom
Domain
Name
API Gateway
API Gateway
Lambda
Lambda
globalddb.adhorn.me
CNAME
CNAM
E
Multi-Region with API Gateway

69. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Route53: Traffic Policy

70. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon
DynamoDB
AWS LambdaAmazon API
Gateway
Amazon
DynamoDB
AWS LambdaAmazon API
Gateway
Amazon
Route53
eu-west-1
us-east-1
GlobalTables
https://globalddb.adhorn.me/

71. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Conclusion

72. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
We learned about
1. System Reliability and Availability.
2. Why to build a Multi-Region Active-Active architecture.
3. How to build a Multi-Region Active-Active architecture on AWS.
4. We looked at a Multi-Region Serverless App

73. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Thanks you!
@adhorn #BuildOnAWS
https://medium.com/@adhorn