Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database with the speed, reliability, and availability of commercial databases at one-tenth the cost. We recently introduced several new features, such as Serverless, Multi-Master, Parallel Query, Backtrack, and Performance Insights. Bring your questions about these features or any other Aurora topic.

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Ask Me Anything about Amazon
Aurora
Kevin Jernigan
Principal Product Manager
Amazon Web Services
D A T 3 6 9 - R
Lawrence Webley
Sr Software Development Engineer
Amazon Web Services

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Agenda
Quick overview of Amazon
Aurora
Recent and upcoming features
(Lots and lots of) Q&A

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Breakout repeats
Tuesday, November 27
Ask Me Anything about Amazon Aurora – DAT369-R
08:30 a.m. – 9:30 a.m. | Aria West, Level 3, Ironwood 8
Wednesday, November 28
Ask Me Anything about Amazon Aurora – DAT369-R1
2:30 p.m. – 3:30 p.m. | MGM, Level 1, South Concourse 104

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Related breakouts
Monday, November 26
Migrating Open Source Databases from Amazon EC2 to Aurora PostgreSQL
3:15 p.m. – 4:15 p.m. | Aria West, Level 3, Ironwood 3
Monday, November 26
What’s New in Amazon Aurora
6:15 p.m. – 7:15 p.m. | Venetian, Level 5, Palazzo O
Monday, November 26
Deep Dive on Amazon Aurora with MySQL Compatibility
7:00 p.m. – 8:00 p.m. | Aria East, Level 2, Mariposa 5

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Related breakouts
Tuesday, November 27
Deep Dive on Amazon Aurora with PostgreSQL Compatibility
5:30 p.m. – 6:30 p.m. | Venetian, Level 2, Venetian E

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Reimagining the relational database
What if you were inventing the database today?
You would break apart the stack
You would build something that
 Lets layers scale out independently …
 Is self-healing …
 Leverages distributed services …

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A service-oriented architecture applied to the database
Move the logging and storage layer into a
multitenant, scale-out, database-optimized
storage service
Integrate with other AWS services such as
Amazon Simple Storage Service (Amazon S3),
Amazon Elastic Compute Cloud (Amazon EC2),
Amazon Virtual Private Cloud (Amazon VPC),
Amazon DynamoDB, Amazon Simple Workflow
Service (Amazon SWF), and Amazon Route 53
for control & monitoring
Make it a managed service – Using Amazon
Relational Database Service (Amazon RDS).
Takes care of management and administrative
functions
Amazon
DynamoDB
Amazon SWF
Amazon Route 53
Logging + storage
SQL
Transactions
Caching
Amazon S3
1
2
3
Amazon RDS

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Scale-out, distributed, log structured storage
Master Replica Replica Replica
Availability Zone 1
Shared storage volume – Transaction aware
Primary
database
node
Read
replica /
secondary
node
Read
replica /
secondary
node
Read
replica /
secondary
node
Availability Zone 2 Availability Zone 3
AWS Region
Storage
monitoring
Database and
instance
monitoring

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Amazon Aurora storage engine overview
Data is replicated 6 times across 3 Availability Zones
Continuous backup to Amazon S3
(built for 11 9s durability)
Continuous monitoring of nodes and disks for repair
10 GB segments as unit of repair or hotspot
rebalance
Quorum system for read/write; latency tolerant
Quorum membership changes do not stall writes
Storage volume automatically grows up to 64 TB
AZ 1 AZ 2 AZ 3
Amazon S3
Database
node
Storage
node
Storage
node
Storage
node
Storage
node
Storage
node
Storage
node
Storage
monitoring

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New Aurora MySQL features
Read replica auto-scaling
Multi-master
Parallel query
Serverless
Performance insights
MySQL 5.7 compatibility

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New Aurora PostgreSQL features
Read replica auto-scaling
PostgreSQL 10 compatibility
PostgreSQL 11 compatibility (coming soon)
Query plan management
IAM integration
Serverless (coming soon)

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16. Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Kevin Jernigan
Principal Product Manager
Amazon Web Services
kmj@amazon.com
Lawrence Webley
Sr Software Development Engineer
Amazon Web Services
lwebley@amazon.com

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