This document discusses Amazon Web Services (AWS) database and analytics services. It provides an overview of AWS's broad portfolio of database and analytics offerings, including both relational and non-relational databases as well as data warehousing, data lakes, migration services, and analytics tools. It then focuses specifically on Amazon Relational Database Service (RDS) and Amazon Aurora, highlighting their managed relational database capabilities, availability, scalability, security features, and use by customers.

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John Segers
Solutions Architect, Worldwide Public Sector, Amazon Web Services
Managed Relational Databases
Amazon RDS

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RDS Overview

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AWS database and analytics services
Broad and deep portfolio, purpose-built for builders
DW | Big Data Processing | Interactive
Business Intelligence & Machine Learning
Data Movement
Database Migration Service | Snowball | Snowmobile | Kinesis Data Firehose | Kinesis Data Streams
Amazon QuickSight
Relational Databases
RDS
Aurora
Data Lake
Amazon S3/Amazon Glacier AWS Glue
(ETL & Data Catalog)
SageMaker
Non-Relational Databases Analytics
DynamoDB
ElastiCache
(Redis, Memcached)
Neptune
(Graph)
Amazon
Redshift
EMR Athena
Kinesis
Data
Analytics
Elasticsearch
Service
Amazon Comprehend

4. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
AWS database and analytics services
Broad and deep portfolio, purpose-built for builders
DW | Big Data Processing | Interactive
Business Intelligence & Machine Learning
Data Movement
Database Migration Service | Snowball | Snowmobile | Kinesis Data Firehose | Kinesis Data Streams
Amazon QuickSight
Relational Databases
RDS
Aurora
Data Lake
Amazon S3/Amazon Glacier AWS Glue
(ETL & Data Catalog)
SageMaker
Non-Relational Databases Analytics
DynamoDB
ElastiCache
(Redis, Memcached)
Neptune
(Graph)
Amazon
Redshift
EMR Athena
Kinesis
Data
Analytics
Elasticsearch
Service
Amazon Comprehend

5. Amazon RDS
Managed relational database service with a choice of popular database engines

6. Amazon RDS
Managed relational database service with a choice of popular database engines

7. We Made Things Cheaper, Easier, and Better

8. We Made Things Cheaper, Easier, and Better

9. Amazon RDS Engines
CommercialOpen sourceAurora

10. Amazon RDS Engines
CommercialOpen sourceAurora

11. Selected Amazon RDS Customers

12. Airbnb moved its main MySQL database to
Amazon RDS with only 15 minutes of downtime
Airbnb – Amazon RDS for MySQL

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Availability and Scalability for RDS

14. Availability Zone A
Availability Zone B
High Availability - Multi-AZ Deployments
Enterprise-grade fault
tolerance solution for
production databases
Standby

15. Availability Zone A
Availability Zone B
High Availability - Multi-AZ Deployments
Enterprise-grade fault
tolerance solution for
production databases
Standby

16. Flexible Scaling

17. Read Replicas
Asynchronous
replication
Primary
Read replica

18. Automated Backups
Amazon RDS for MySQL, PostgreSQL,
MariaDB,
Oracle, and SQL Server
Amazon Aurora

19. Automated Backups
Amazon RDS for MySQL, PostgreSQL,
MariaDB,
Oracle, and SQL Server
Amazon Aurora

20. Automated Backups
Amazon RDS for MySQL, PostgreSQL,
MariaDB,
Oracle, and SQL Server
Amazon Aurora

21. Database Snapshots

22. Database Snapshots

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Security and Compliance

24. Security and Compliance overview

25. Security Groups
Protocol Port range Source

26. Identity and Access Management (IAM)
Governed access:
use IAM to control
who can perform
actions with
Aurora MySQL
and Amazon RDS for
MySQL

27. At Rest Encryption for All Amazon RDS Engines
Two-tiered key hierarchy using
envelope encryption
Benefits

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Amazon Aurora
Reinventing the Relational Database

29. Amazon Aurora
MySQL and PostgreSQL-compatible relational database built for the cloud
Performance and availability of commercial-grade databases at 1/10th the cost

30. MAGASeek used AWS DMS to migrate Oracle RAC clusters to
Amazon Aurora with a team of two engineers
MAGASeek – Amazon Aurora

31. Amazon Aurora
Master Replica Replica Replica

32. Amazon Aurora
Master Replica Replica Replica

33. Amazon Aurora
Master Replica Replica Replica

34. Amazon Aurora

35. SQL Benchmark Results

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Test application behavior under failure conditions
Aurora Fault Injection Queries
> ALTER SYSTEM CRASH NODE;
> ALTER SYSTEM SIMULATE 25 PERCENT READ REPLICA FAILURE TO ALL
FOR INTERVAL 3 HOUR;
> ALTER SYSTEM SIMULATE 15 PERCENT DISK FAILURE
FOR INTERVAL 2 DAY;
> ALTER SYSTEM SIMULATE 15 PERCENT DISK CONGESTION
BETWEEN 10 AND 30 MILLISECONDS FOR INTERVAL 45 MINUTE;

37. Amazon Aurora Serverless (preview)

38. Amazon Aurora Multimaster (preview)

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Amazon Aurora Parallel Query (preview)
STORAGE NODES
OPTIMIZER
EXECUTOR
INNODB
NETWORK STORAGE DRIVER
AGGREGATOR
APPLICATION
PARTIAL
RESULTS
STREAM
RESULTS
IN-FLIGHT
DATA
PQ CONTEXT
PQ PLAN
Aurora storage has thousands of CPUs
§ Presents opportunity to push down and
parallelize query processing using the
storage fleet
§ Moving processing close to data reduces
network traffic and latency
Query Optimizer produces PQ Plan and
creates PQ context based on leaf page
discovery
PQ request and context are sent to storage
node, which produces two data streams
Head node aggregates these data streams to
produce final results

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Database Migrations

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AWS Database Migration Service
Migrating databases quickly and securely
Sources
(relational) Amazon S3

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Thank you

43. Monitoring RDS

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Monitoring RDS
RDS Event
subscriptions
RDS Enhanced
Monitoring
Amazon
CloudWatch

45. Monitoring Your RDS DB Instance
Amazon CloudWatch metrics
Integration with third-party
monitoring tools
Amazon CloudWatch Alarms
Upload DB logs directly to
CloudWatch Logs
Enhanced Monitoring for
Amazon RDS

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Monitor Aurora, MySQL and MariaDB logs with
Amazon CloudWatch

47. Simplify Monitoring with Performance Insights
Available for RDS Aurora PostgreSQL

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Aurora Lab Mode Features
Not recommended for production databases
Scan batching Speed up in-memory, scan-oriented queries
Hash joins Improve performance for large joins using an equijoin.
Fast DDL Adding columns at end of table very quickly without
using temporary storage for table copy.
Lock Compression Reduce lock manager memory consumption.