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Amazon Relational
Database Service:
What’s New
Lynn Ferrante, Business Development Manager,
RDS Open Source Databases
January 2016
Agenda
RDS Introduction and What’s New Across RDS
Amazon Aurora
Database 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 patches
Database backups
Scaling
High 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 patches
Database 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
Memory
TPS
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
Master
Read
Replica
Read
Replica
Read
Replica
Read
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 cloud
Many 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
AWS
Database Migration
Service
Customer
Premises
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 needed
AWS
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!

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2016 Utah Cloud Summit: RDS

  • 1. Amazon Relational Database Service: What’s New Lynn Ferrante, Business Development Manager, RDS Open Source Databases January 2016
  • 2. Agenda RDS Introduction and What’s New Across RDS Amazon Aurora Database Migration Service
  • 3. 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.
  • 4. If You Host Your Databases On-premises Power, HVAC, net Rack & stack Server maintenance OS patches DB s/w patches Database backups Scaling High availability DB s/w installs OS installation you App optimization
  • 5. If You Choose a Managed Database Service Power, HVAC, net Rack & stack Server maintenance OS patches DB s/w patches Database backups App optimization High availability DB s/w installs OS installation you Scaling
  • 7. 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
  • 8. 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
  • 9. RDS What’s New? • Enhanced OS monitoring for Aurora, MySQL 5.6, and MariaDB • Expanded OS level metrics
  • 10. 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 Memory TPS 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
  • 11. Integrations with 3rd party tools
  • 12. 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?
  • 13. Aurora at a glance AZ 1 AZ 2 AZ 3 Amazon S3 Master Read Replica Read Replica Read Replica Read Replica Massively scale-out storage distributed across 3 AZs
  • 14. 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
  • 15. 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
  • 16. Amazon Aurora Aurora is architected for the cloud Many 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
  • 17. What new in Aurora land  Encryption at rest  Enhanced monitoring  New region launches • Tokyo (others coming soon)
  • 18. 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
  • 19. 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
  • 20. • 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 AWS Database Migration Service
  • 21. Customer Premises 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
  • 22. • Migrate off Oracle and SQL Server • Move your tables, views, stored procedures and DML to MySQL, MariaDB & Amazon Aurora • Highlight where manual edits are needed AWS Schema Conversion Tool
  • 23. 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

Editor's Notes

  1. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business.
  2. All the time that’s freed up by offloading undifferentiated labor to AWS can be used to do the app optimizations you always wanted to have time to do.
  3. The HIPAA Rules generally require that covered entities and business associates enter into contracts with their business associates to ensure that the business associates will appropriately safeguard protected health information Under the U.S. Health Insurance Portability and Accountability Act of 1996, a HIPAA business associate agreement (BAA) is a contract between a HIPAA covered entity and a HIPAA business associate (BA). The contract protects personal health information (PHI) in accordance with HIPAA guidelines.
  4. Need imagery e.g. slide 33 from other deck. Some flow to show S3, some gossip, a monitoring entity Reorder Volume expands, 6x replications, gossip communication,
  5. Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.
  6. Move data to the same or different database engine ~ Supports Oracle, Microsoft SQL Server, MySQL, PostgreSQL, MariaDB, Amazon Aurora, Amazon Redshift Keep your apps running during the migration ~ DMS minimizes impact to users by capturing and applying data changes Start your first migration in 10 minutes or less ~ The AWS Database Migration Service takes care of infrastructure provisioning and allows you to setup your first database migration task in less than 10 minutes Replicate within, to or from AWS EC2 or RDS ~ After migrating your database, use the AWS Database Migration Service to replicate data into your Redshift data warehouses, cross-region to other RDS instances, or back to on-premises
  7. Using the AWS Database Migration Service to migrate data to AWS is simple. (CLICK) Start by spinning up a DMS instance in your AWS environment (CLICK) Next, from within DMS, connect to both your source and target databases (CLICK) Choose what data you want to migrate. DMS lets you migrate tables, schemas, or whole databases Then sit back and let DMS do the rest. (CLICK) It creates the tables, loads the data, and best of all, keeps them synchronized for as long as you need That replication capability, which keeps the source and target data in sync, allows customers to switch applications (CLICK) over to point to the AWS database at their leisure. DMS eliminates the need for high-stakes extended outages to migrate production data into the cloud. DMS provides a graceful switchover capability.
  8. The AWS Schema Conversion Tool is a development environment that you download to your desktop and use to save time when migrating from Oracle and SQL Server to next-generation cloud databases such as Amazon Aurora. You can convert database objects such as tables, indexes, views, stored procedures, and Data Manipulation Language (DML) statements like SELECT, INSERT, DELETE, UPDATE.