Amazon Relational Database Service: What’s New

Lynn Ferrante, Business Development Manager, RDS Open Source DatabasesJanuary 2016

Agenda

RDS Introduction and What’s New Across RDSAmazon AuroraDatabase Migration Service

Amazon RDS

Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud.

It frees you up to focus on your applications and business.

If You Host Your Databases On-premises

Power, HVAC, net

Rack & stack

Server maintenance

OS patches

DB s/w patchesDatabase backups

ScalingHigh availability

DB s/w installs

OS installation

you

App optimization

If You Choose a Managed Database Service

Power, HVAC, net

Rack & stack

Server maintenance

OS patches

DB s/w patchesDatabase backups

App optimization

High availability

DB s/w installs

OS installation

you

Scaling

Amazon RDS Databases

Amazon Aurora

RDS What’s New?

• Larger storage and IOPS• Increased maximum storage to 6 TB for MySQL,

PostgreSQL, and Oracle and to 4 TB for SQL Server• Increased provisioned IOPS to 20K for SQL Server• Higher performance and storage of more data

• HIPAA Eligibility/BAA Inclusion for RDS MySQL and Oracle

RDS What’s New?

• Support for MariaDB in RDS• Fully managed service in all public AWS regions, allows more

choices for our customers• Share unencrypted snapshots between accounts

• Useful for test/QA/production accounts

• Cross regions concurrent snapshot copies• Local timezone support for MySQL and MariaDB

RDS What’s New?

• Enhanced OS monitoring for Aurora, MySQL 5.6, and MariaDB

• Expanded OS level metrics

Important systems and OS metrics

User System Wait IRQ Idle

CPU Utilization

Rx per declared ethn Tx per declared ethn

Network

Num processes Num interruptible Num non-interruptible Num zombie

Processes

Process ID Process name VSS Res Mem % consumed CPU % used CPU time Parent ID 

Process List

MemTotal MemFree Buffers Cached SwapCached Active Inactive SwapTotal SwapFree Dirty Writeback Mapped Slab

MemoryTPS Blk_read Blk_wrtn read_kb read_IOs read_size write_kb write_IOs write_size avg_rw_size avg_queue_len

Device IO

Free capacity Used % Used

File System

Integrations with 3rd party tools

MySQL-compatible relational database

Performance and availability of commercial databases

Simplicity and cost-effectiveness of open source databases

Delivered as a managed service

What is Amazon Aurora?

Aurora at a glance

AZ 1 AZ 2 AZ 3

Amazon S3

MasterRead

ReplicaRead

ReplicaRead

ReplicaRead

Replica

Massively scale-out storage distributed across 3 AZs

Perfect fit for enterprise workload

6-way replication across 3 data centers Failover in less than 30 secs Near instant crash recovery

Up to 500 K/sec read and 100 K/sec write 15 low latency (10 ms) Read Replicas Up to 64 TB DB optimized storage volume

Instant provisioning and deployment Automated patching and software upgrade Backup and point-in-time recovery Compute and storage scaling

Performance and scale

Enterprise class availability

Fully managed service

Perfect fit for more

1) All MySQL applications. Aurora is MySQL 5.6 compatible 2) Customers wanting high performance and availability at a cost efficient price point 3) High traffic websites using a relational database as the backend 4) Read or read/write intensive databases 5) Customers needing more storage - up to 64TB with Aurora

Amazon Aurora

Aurora is architected for the cloudMany technical advantages over MySQL

• No over-provisioning of storage needed• Storage provisioned automatically• Pay only for storage you use• Six copies of data spread across 3 AZs

• Up to 5x the throughput of standard MySQL• Fraction of the cost of commercial databases• Aurora Replicas (up to 15) used for read AND failover

What new in Aurora land

Encryption at rest

Enhanced monitoring

New region launches• Tokyo (others coming soon)

Migrating from MySQL to Aurora

• Console migration for RDS MySQL 5.6 migration• Can also use dump and load; replication• Database Migration Service

• If you want to consolidate many MySQL databases into one Aurora instance

• If you want to split MySQL into multiple Aurora instances• If you want to use a managed service to capture ongoing

changes

Migrations from Other Engines to Aurora

• Use Schema Conversion Tool to do an assessment• Migration is easiest if not deeply entrenched in engine

specific stored procedures, triggers and data types, • Use Database Migration Service to move data• May be easier to move from outside cloud to AWS RDS

on same engine, and then migrate to Aurora

• Move data to the same or different database engine

• Keep your apps running during the migration

• Start your first migration in 10 minutes or less

• Replicate within, to or from AWS EC2 or RDS

AWSDatabase Migration

Service

CustomerPremises

Application Users

AWS

Internet

VPN

Start a replication instance

Connect to source and target databases

Select tables, schemas or databases

Let the AWS Database Migration Service create tables, load data and keep them in sync

Switch applications over to the target at your convenience

Keep your apps running during the migration

• Migrate off Oracle and SQL Server

• Move your tables, views, stored procedures and DML to MySQL, MariaDB & Amazon Aurora

• Highlight where manual edits are neededAWS

Schema Conversion Tool

Summary

• RDS continues to add value and features • Amazon Aurora is the relational database that is

architected for the AWS cloud• The Database Migration Service can assist you in

migrating from on prem, EC2 or RDS databases

Thank You!