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Building Resilient 
Architectures with AWS
Auxenta Tech Talk ­ April 2019
Crishantha Nanayakkara
(@crishantha)
Source: aws.amazon.com
IaaS Cloud Market Share
Source: https://www.allthingsdistributed.com/2016/03/10-lessons-from-10-years-of-aws.html
Werner Vogels, CTO, Amazon.com
Souce: https://blog.turbonomic.com/blog/on-technology/amazon-region-outage-
why-amazon-failing-isnt-really-failing/
Souce: https://blog.turbonomic.com/blog/on-technology/amazon-region-outage-
why-amazon-failing-isnt-really-failing/
Resiliency is our Responsibility
Souce: https://aws.amazon.com/compliance/shared-responsibility-model/
AWS Shared Responsibility Model
The AWS Global Infrastructure
AWS Global Infrastructure
Souce: https://aws.amazon.com/about-aws/global-infrastructure/
AWS Global Infrastructure
Souce: https://aws.amazon.com/about-aws/global-infrastructure/
●
All the regions are connected to a private global 
network backbone
●
It provides a high bandwidth global network 
infrastructure powered by redundant 100Gb links 
circling the globe.
●
Provides,
– Improved latency (compared to public 
Internet), packer loss and overall quality
– No network connectivity conflicts
– Greater control
AWS Global Network
AWS Global Network
(The private global network)
AWS Global Network
(The private global network)
Source: James Hamilton – AWS Re-Invent, 2016
The AWS Regional Infrastructure
AWS Regional Infrastructure
Souce: aws.amazon.com
AWS Regional Infrastructure
Souce: aws.amazon.com
AWS Regional Infrastructure
Souce: aws.amazon.com
AWS Regional Infrastructure
Souce: aws.amazon.com
Multi­Region Multi VPC Connectivity
(Via AWS backbone network)
●
No more public VPNs are needed to connect Regions
Single Region Architectures
Source: aws.amazon.com
Source: aws.amazon.com
Source: aws.amazon.com
Multi Region Architectures
Cost of Availability 
(Multi Region Architectures)
Why Multi­Region?
●
Improve Latency for the end users
Why Multi­Region?
●
Disaster Recovery
Why Multi­Region?
●
Business Requirement
Some systems need specific requirements to have 
regional settings
– Need to have another backup at some 
distance
– Need to have a regional active­active fail­over 
– Regional settings 
Synchronous or Asynchronous?
●
If (Latency < 5ms) then Synchronous
●
Else if (Latency > 6ms) then Asyncronous
CAP Theorem 
●
Consistency ­ all client programs who are reading the 
data from the cluster see the same data at any given 
point of time.
●
Availability ­ you should be able to retrieve the data 
you stored in a distributed system, no matter what 
happens inside cluster.
●
Partition Tolerance ­ the cluster (as whole) 
continues to function even if there is a “partition” 
(communications break) between two nodes (both 
nodes are up, but can’t communicate).
The CAP Theorem is a fundamental theorem in distributed 
systems that states any distributed system can have at most 
two of the following three properties.
Most importantly, in the presence of a network partition, one 
has to choose between Consistency and Availability. 
CAP Theorem 
CAP Theorem in a Multi Region 
Architecture 
●
When building a multi­region architecture and 
optimizing for availability, we have to give up 
consistency.
●
This means we need to embrace asynchronous 
systems and replication.
●
That means Eventual Consistency 
S3 – Cross Region Replication
RDS – Multi A­Z
(Active­Passive/ Primary­Stand­by)
RDS (Aurora) – Multi A­Z
(Multi­Master)
RDS – Cross Region Replication
●
M = Primary/ Master RDS Database
●
R = Read Replica
RDS – Cross Region Replication
RDS – Read Replicas
(Max 4 replicas per Primary instance)
RDS – Read Replicas
(No Stand­By instance for a Read Replica)
Stateless Applications
Sticky vs Stateless
Sticky Sessions Stateless Sessions
Stateless Sessions
●
In a stateless architecture, the server must treat all 
client requests independently of prior requests or 
sessions and should not store any session information 
locally.
●
Stateless applications can scale horizontally since 
any request can be handled by any available 
computing resources (e.g., instances, containers or 
functions).
●
If we are to share a state between instances/ 
containers/ functions it is possible by using in­
memory caching systems (memcached, Redis, etc)
Serverless Architectures
Why Serverless?
●
No servers to provision or manage
●
Scales with the usage
●
Never pay for idling time
●
Built in Availability and Fault Tolerance
Multi Region Active­Active Serverless
Architecture
DynamoDB Global Tables
●
Fully­Managed, Multi­Region, Multi­Master Database
●
Allows to build globally distributed applications 
Regional Endpoints
●
A regional endpoint is a new type of an endpoint, that 
is accessed from the same AWS region in which your 
REST API is deployed.
Route 53 Regional Routing Policies
●
Route 53 is the AWS DNS
●
Controls the traffic flow with different routing policies
●
Geo location, Latency, Weighted, etc
Routes traffic based on the Geo location
The Conclusion
●
If are to build a fully resilient multi­region, active­
active architecture, all the services on the client 
request path must be deployed across multiple AWS 
regions.
●
This architecture should embrace total asynchronous 
designs / architectures
●
The applications which run should be fully stateless
References
●
The quest for availability in the cloud: 
https://read.acloud.guru/the­quest­for­availability­771fa8a94
a7c
●
DynamoDB Backup and Restore (Re­Invent 2017): 
https://www.youtube.com/watch?v=PYDmx_8csJ4 
●
Serverless Architectural Patterns: 
https://www.youtube.com/watch?v=psIgCzFOqj8 
●
Amazon Region Outage: Why Amazon infrastructure failing 
isn’t really Amazon failing: 
https://blog.turbonomic.com/blog/on­technology/amazon­region
­outage­why­amazon­failing­isnt­really­failing/
●
Amazon Shared Responsibility Model: 
https://aws.amazon.com/compliance/shared­responsibility­mo
del/
 
References
●
10 Lessons from 10 years of Amazon Web Services: 
https://www.allthingsdistributed.com/2016/03/10­lessons­fro
m­10­years­of­aws.html
●
Patterns for Resilient Architecture – Part 01 ­ 
https://medium.com/@adhorn/patterns­for­resilient­architec
ture­part­1­d3b60cd8d2b6
 
●
CAP Theorem and Distributed Database Management Systems: 
https://towardsdatascience.com/cap­theorem­and­distribute
d­database­management­systems­5c2be977950e
 
●
How to build a multi­region active­active architecture on AWS: 
https://read.acloud.guru/why­and­how­do­we­build­a­multi­re
gion­active­active­architecture­6d81acb7d208
 
Thank YouThank You
Crishantha NanayakkaraCrishantha Nanayakkara
Twitter: @crishanthaTwitter: @crishantha
Web Site: Web Site: www.crishantha.comwww.crishantha.com
LinkedIn: http://linkedin.com/in/crishanthaLinkedIn: http://linkedin.com/in/crishantha

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