Amazon Aurora Serverless is a configuration for Aurora (MySQL-compatible edition) where the database automatically starts up, shuts down, and scales capacity up or down based on your application's needs. In this session, we discuss how Aurora Serverless supports infrequent, intermittent, or unpredictable workloads, and we provide tips for building your next application on a serverless database.

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Going Deep on Amazon Aurora
Serverless
Anoop Gupta
Software Development Manager
Amazon Web Services
D A T 4 2 7 R
Alexey Kuznetsov
Sr. Software Development Engineer
Amazon Web Services

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Agenda
• Amazon RDS & Aurora fundamentals
• What is Amazon Aurora Serverless?
• How it works
• Q&A

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Amazon RDS is . . .
Cloud native engine Open source engines Commercial engines
RDS platform
• Automatic fail-over
• Backup & recovery
• X-region replication
• Isolation & security
• Industry compliance
• Automated patching
• Advanced monitoring
• Routine maintenance
• Push-button scaling
Image credit: By Mackphillips - Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=55946550

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Amazon Aurora is . . .. . .
Cloud native engine Open source engines Commercial engines
RDS platform
• Automatic fail-over
• Backup & recovery
• X-region replication
• Isolation & security
• Industry compliance
• Automated patching
• Advanced monitoring
• Routine maintenance
• Push-button scaling
Image credit: By Mackphillips - Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=55946550

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Amazon Aurora - databases reimagined for the cloud
Speed and availability of high-end commercial databases
Simplicity and cost-effectiveness of open source databases
Drop-in compatibility with MySQL and PostgreSQL
Simple pay as you go pricing
Delivered as a fully managed service

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Availability zone 1
Region
Availability zone 2 Availability zone 3
Scale-out, distributed, multi-tenant design . . .
Purpose-built log-structured,
distributed storage
Shared storage volume
Storage nodes with SSDs
Master
SQL
Transaction
s
Caching
Reader
5
Reader
9
SQL
Transaction
s
Caching
SQL
Transaction
s
Caching
Reader
1
SQL
Transaction
s
Caching
Reader
8
SQL
Transaction
s
Caching
Reader
15
SQL
Transaction
s
Caching
… … …
10GiB stripes
Master and up to 15 Readers
all point to the same storage
6-way replication, 2 per AZ
Quorums survive AZ+1 failure

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Availability zone 1
Region
Availability zone 2 Availability zone 3
With provisioned Aurora, you size the master yourself
Shared storage volume
Storage nodes with SSDs
Master
SQL
Transaction
s
Caching
Size for the peak load
-or-
Continuously monitor and
manually scale up/down

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Aurora Serverless . . .
Responds to your application automatically
• Start up
• Shut down
• Scale capacity

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Real world examples…

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You have some choices to make . . .
Provision for peak
Continuously monitor and
manually scale up/down
-or-
Expensive
Hard
• Requires experts
• Risks outages
Provision less than peak End-user (business) impact
-or-

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Database capacity management
Availability zone 1
Region
App
Shared distributed storage volume
Master

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Database capacity management
Availability zone 1
Region
App
Shared distributed storage volume
Original master Scale-up target
Add a scale-up target

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Database capacity management
Availability zone 1
Region
App
Shared distributed storage volume
Original master New master
Cutover

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Database capacity management
Availability zone 1
Region
App
Shared distributed storage volume
Original master New master

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Database capacity management
Availability zone 1
Region
App
Shared distributed storage volume
Original master Scale-up target
Add a proxy, shield the application
from connection changesProxy

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Database capacity management
Availability zone 1
Region
App
Shared distributed storage volume
New scale-up target
Proxy
New master
Cutover

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Database capacity management – is hard
Availability zone 1
Region
App
Shared distributed storage volume
New scale-up target
Proxy
New master

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Aurora Serverless . . .
Responds to your application load automatically
• Scale capacity with no downtime
• Multi-tenant proxy is highly available
• Scale target has warm buffer pool
• Shuts down when not in use

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How does it work . . .
Availability zone 1
Region
App
Shared distributed storage volume
Multi-tenant proxy layer
Warm-pool of Aurora instances
Monitoring service

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How does it work . . .
Availability zone 1
Region
App
Shared distributed storage volume
Multi-tenant proxy layer
Warm-pool of Aurora instances
Monitoring service

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How does it work . . .
Availability zone 1
Region
App
Shared distributed storage volume
Multi-tenant proxy layer
Warm-pool of Aurora instances
Monitoring service

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How does it work . . .
Availability zone 1
Region
App
Shared distributed storage volume
Multi-tenant proxy layer
Warm-pool of Aurora instances
Monitoring service

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How does it work . . .
Availability zone 1
Region
App
Shared distributed storage volume
Multi-tenant proxy layer
Warm-pool of Aurora instances
Monitoring service

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How does it work . . .
Availability zone 1
Region
App
Shared distributed storage volume
Multi-tenant proxy layer
Warm-pool of Aurora instances
Monitoring service

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How does it work . . .
Availability zone 1
Region
App
Shared distributed storage volume
Multi-tenant proxy layer
Warm-pool of Aurora instances
Monitoring service

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How does it work . . .
Availability zone 1
Region
App
Shared distributed storage volume
Multi-tenant proxy layer
Warm-pool of Aurora instances
Monitoring service

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Simpler experience: Less to worry about
• No CPU credits to monitor
• No commitment to particular availability zone
• No migrations between instance type generations
• No DB instance reservations to manage
• No instances to manage
• Encryption at REST is always enabled
• No need to manually suspend and resume database
• No DNS propagation delays
• No maintenance window
• No old database versions to upgrade

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Introducing Amazon Relational Database Service Data API
• Simple web service protocol for database access
• SQL statements packaged as HTTP requests
• Access your database from Lambda and AppSync
• Access your database from the AWS SDK & CLI
Data API Service
Aurora Serverless

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Introducing RDS Console Query Editor
• Access your database from
AWS Management Console
• No database client application
or terminal required

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Aurora Serverless – for PostgreSQL
Now in preview, sign-up today:
https://pages.awscloud.com/amazon
-aurora-postgresql-serverless-
preview.html

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Aurora Serverless – more regions
• Aurora Serverless newly available
in:
• Seoul
• Singapore
• Sydney
• Mumbai
• N. California
• London, Paris
• Frankfurt
• Central Canada

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Related breakouts
Thursday, November 29th
Accelerate Database Development and Testing with Amazon Aurora
11:30 a.m. - 1:45 p.m. | Mirage, Mirage Event Center C3
Thursday, November 29th
Accelerate Your Analytic Queries with Amazon Aurora Parallel Query
4:00 p.m. - 5:00 p.m. | Venetian, Level 2, Veronese 2406
Thursday, November 29th
Build on Amazon Aurora with MySQL Compatibility
4:00 p.m. – 5:00 p.m. | Mirage, Grand Ballroom B, Table 7

37. Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Anoop Gupta
gupanoop@amazon.com
Alexey Kuznetsov
alexey@amazon.com

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How to migrate?
To Aurora MySQL
To Aurora Serverless
for MySQL
Restore from snapshot ✓ ✓
Dump & load ✓ ✓
AWS Data Migration Service ✓ ✓
Transaction log replication ✓ ✗
Restore from Amazon S3 ✓ ✓*

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Availability
Aurora MySQL
(Multi-AZ)
Aurora MySQL
(Single-AZ)
Aurora Serverless
for MySQL
Fast failover ✓ ✗ ✗
Cross-AZ failover ✓ ✗ ✓
Storage HA/durability ✓ ✓ ✓