Amazon Relational Database Service (Amazon RDS) and Amazon Dynamo DB make it easy to set up, operate, and scale a database in the cloud. They provides cost-efficient and re-sizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. In this webinar we review the different types of Amazon database services available including relational and NoSQL and how to move your existing databases to AWS. Reasons to attend: Learn how Amazon database services can reduce the overhead of running high performance mission critical databases. Learn how to migrate your existing database workloads into the AWS Cloud. Learn how to scale up and scale down your Amazon database infrastructure.

1. RDS - Letting AWS run your Low Admin,
High Performance Database
Vasudeva Venkateshaiah
Solutions Architect | Amazon Internet Services Private Ltd.
1

2. Amazon
RDS
Amazon
DynamoDB
Amazon
Redshi3
Amazon
Elas6Cache
Compute Storage
AWS Global Infrastructure
Database
Application Services
Deployment & Administration
Networking
AWS Database
Services
Scalable High Performance
Application Storage in the Cloud

3. 3

4. v
4

5. Why Amazon RDS?

6. Amazon
RDS
Simple to deploy and scale
Without any operational burden
Reliable and cost effective
Choice of Database engines

7. backup & recovery,
data load & unload
performance tuning5%
25%
20%
40%
5% 5%
scripting & coding
security
planning
install, upgrade,
patch and migrate
documentation,
licensing & training
Why Managed Databases?

8. v
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
installa6on
you
App
op6miza6on
8

9. v
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
installa6on
you
App
op6miza6on
9

10. v
If you host your databases in EC2
Power,
HVAC,
net
Rack
&
stack
Server
maintenance
OS
patches
DB
s/w
patches
Database
backups
Scaling
High
availability
DB
s/w
installs
OS
installa6on
you
App
op6miza6on
10

11. v
If you host your databases in EC2
OS
patches
DB
s/w
patches
Database
backups
Scaling
High
availability
DB
s/w
installs
you
App
op6miza6on
Power,
HVAC,
net
Rack
&
stack
Server
maintenance
OS
installa6on
11

12. v
If you choose a managed DB service like RDS
Power,
HVAC,
net
Rack
&
stack
Server
maintenance
OS
patches
DB
s/w
patches
Database
backups
App
op6miza6on
High
availability
DB
s/w
installs
OS
installa6on
you
Scaling
Schema design
Query construction
Query optimization
Focus
your
team
here
Let
AWS
focus
here
12

13. v
A resilient, durable, production application
architecture
RDS
database
instances:
Master
and
Mul6-­‐AZ
standby
P-­‐IOPS
Applica6on,
in
Amazon
EC2
instances
Elas6c
Load
Balancer
instance
DB
snapshots
in
Amazon
S3
13

14. Rapid deployment via Web Console
14

15. v
RDS Database instances: scalable CPU,
memory, storage
• Database
instance
types
offer
a
range
of
CPU
and
memory
selec6ons
• Op6ons
from
Micro
(3
no.),
Memory
Op6mized
(5
no.)
and
Standard
Instance
types
(4
no.)
• Max
Spec
–
32
vCPU
and
244
GiB
(db.r3.8xlarge)
with
10
Gigabit
network
• Scale
up
or
down
among
instance
types
on
demand
• Database
storage
is
scalable
on
demand
• Choose
standard
storage
for
lower
cost
at
low
IOPS
• Choose
Provisioned
IOPS
for
high,
predictable
performance
and
online
scaling
15

16. v
How RDS backups work
• Automated
backups
• Restore
your
database
to
a
point
in
6me
• Enabled
by
default
• Choose
a
reten6on
period,
up
to
35
days
• Manual
snapshots
• Ini6ated
by
you
• Persist
un6l
you
delete
them
• Stored
in
Amazon
Simple
Storage
Service
(Amazon
S3)
• Build
a
new
database
instance
from
a
snapshot
when
needed
16

17. Amazon RDS Multi-AZ
Few clicks or One API call
High Availability Database Deployment
Do It Yourself MySQL on AWS
Potentially ~100+ Manual steps
Set up primary and standby instances
Set up identical volumes
Create synchronous replication
Create and manage DNS entries
Detect instance failure conditions
Detect network failure conditions
Detect storage failure conditions
Decide when to fail-over….
Re-establish primary secondary connections

18. v
High Availability Multi-AZ Deployments
Enterprise-­‐grade
fault
tolerance
solu6on
for
produc6on
databases
18

19. v
Choose Multi-AZ for greater availability,
durability
• An
availability
zone
is
a
physically
dis6nct,
independent
infrastructure
• With
Mul6-­‐AZ
opera6on,
your
database
is
synchronously
replicated
to
another
AZ
in
the
same
AWS
Region
• Failover
occurs
automa6cally
in
response
to
the
most
important
failure
scenarios
• Planned
maintenance
is
applied
first
to
backup
19

20. v
Customers Love Multi-AZ
26%
40%
25%
30%
35%
40%
45%
Oct-­‐12
Jan-­‐13
Apr-­‐13
Jul-­‐13
Oct-­‐13
Jan-­‐14
Apr-­‐14
Jul-­‐14
Oct-­‐14
Mul6-­‐AZ
Instances
as
a
share
of
all
RDS
Instances
20

21. v
Choose Read Replicas for greater
scalability
² Read
Replicas
available
for
MySQL
and
PostgreSQL
(V
9.3.5
and
newer)
² Help
your
app
scale
by
offloading
read
traffic
to
an
automa6cally
maintained
read
replica
² Create
mul6ple
read
replicas,
load-­‐share
traffic
² Easy
to
set
up
² Automa6c
backups
must
be
enabled
for
Read
Replica
to
work
² Allows
to
create
upto
5
read
replicas.
² Uses
the
DB
engine’s
na6ve
asynchronous
replica6on
21

22. v
Choose cross-region snapshot copy for even
greater durability, ease of migration
• Copy
a
database
snapshot
to
a
different
AWS
Region
• Warm
standby
for
disaster
recovery
• Or
use
it
as
a
base
for
migra6on
to
a
different
region
22

23. v
• Even
faster
recovery
in
the
event
of
disaster
• Bring
data
close
to
your
customers
• Promote
to
a
master
for
easy
migra6on
Choose cross-region read replicas for enhanced data
locality, even more ease of migration
23

24. How
secure
is
this?
ü RDS
is
compliant
with
PCI,
SOC1/SOC2/SOC3,
ITAR,
ISO27001
ü Amazon
RDS
encryp6on
uses
AWS
Key
Management
Service
(KMS)
to
let
you
create
and
manage
the
keys
used
to
encrypt
your
data
ü Every
database
has
an
associated
firewall
that
blocks
all
traffic
by
default.
You
open
up
specific
IP
addresses
ü Deploy
to
a
“Virtual
Private
Cloud”
to
completely
isolate
the
database
and
use
VPN
to
connect
to
your
corporate
network
Our
databases
are
very
large,
need
very
high
performance
ü Allocate
up
to
3
TB
with
MySQL,
Postgres,
Oracle
[1
TB
for
MS
SQL]
ü Up
to
30,000
IOPS
for
MySQL,
Postgres,
Oracle
[10,000
for
MS
SQL]
Other Important Parameters
24

25. How RDS billing works
Monthly
bill
= GB
+
+
Assumes
DB
instance
accessed
only
from
EC2
Further
details
at
hup://aws.amazon.com/rds/pricing/
=
720
hrs
*
$0.370
+
100
GB
*
$0.125
+
1,000
IOPS
*
$0.10
=
$383.34
db.m3.xlarge;
MySQL;
Oregon;
Single-­‐AZ;
On-­‐Demand
100
GB
Provisioned
IOPS
Provisioned
1,000
IOPS
25

26. v
Save money with RDS Reserved Instances
• Pay
a
low
up-­‐front
fee
to
get
a
lower
hourly
price
on
database
instances
for
a
1-­‐
or
3-­‐year
term
• The
lower-­‐price
en6tlement
applies
to
any
running
instance
matching
its
descrip6on
• Choose
among
Heavy,
Medium,
Light
RIs
Month
1
Month
2
Month
3
Month
4
Month
5
Month
6
Month
7
Month
8
Month
9
Month
10
Month
11
Month
12
On-­‐demand
544.50
1,089.00
1,633.50
2,178.00
2,722.50
3,267.00
3,811.50
4,356.00
4,900.50
5,445.00
5,989.50
6,534.00
Heavy
RI
1-­‐yr
1,508.10
1,750.20
1,992.30
2,234.40
2,476.50
2,718.60
2,960.70
3,202.80
3,444.90
3,687.00
3,929.10
4,171.20
Start
saving
here
26

27. v
How to scale with Amazon RDS
² Scale
up
or
down
with
resizable
instance
types
• CPU
to
32
vCPUs,
RAM
to
244
GiB
² Scale
your
storage
up
with
a
few
clicks
• Scale
while
online
• Easy
conversion
from
standard
to
Provisioned
IOPS
storage
² Offload
read
traffic
to
Read
Replicas
² Put
a
cache
in
front
of
Amazon
RDS
• Amazon
Elas6Cache
for
Memcached
or
Redis
• Or
your
favorite
cache,
self-­‐managed
in
Amazon
EC2
² Amazon
RDS
takes
some
of
the
pain
out
of
sharding
27

28. v
Best practices for Amazon RDS
• Strongly
consider
Provisioned
IOPS
storage
• Strongly
consider
Mul6-­‐AZ
deployments
• Make
maximum
use
of
ability
to
rapidly
provision
test
environments
• Create
regular
DB
Snapshots
• Test
recovery
from
them
• Configure
CloudWatch
alerts
and
DB
Event
no6fica6ons
28

29. v
How to migrate data into RDS
• Basic
technique:
dump
and
restore
• Simple,
but
requires
down6me
RDS
for
MySQL
RDS
for
Oracle
RDS
for
SQL
Server
RDS
for
PostgreSQL
mysqldump
Data
Pump
Generate/
Publish
scripts
pgdump
mysqlimport
SQL
Loader
Bulk
Copy
(bcp)
copy
29

30. v
How to migrate data into RDS, continued
• Advanced
technique:
apply
the
deltas
• Replay
transac6ons
against
the
migra6on
target
RDS
for
MySQL
RDS
for
Oracle
RDS
for
SQL
Server
RDS
for
PostgreSQL
mysqlbinlog
Mview
replica6on
Linked
servers
Use
row
metadata
to
capture
modified
rows
Tungsten
Replicator
Golden
Gate,
Dbvisit,
Auunity,
Dell
SharePlex
SSIS
30

31. v
Selected Amazon RDS Customers
31

32. Changing the Game in Databases
32

33. v
Our Pace of Innovation
is Increasing
Amazon RDS
MySQL launched
RDS MySQL Multi-AZ,
Reserved Instances,
DUB, SFO Expansion
Amazon RDS for
Oracle
Amazon ElastiCache
for Memcached
ElastiCache global
expansion
Amazon DynamoDB
RDS VPC Support
DynamoDB in Japan
and EU
ElastiCache global
expansion continues
RDS for Oracle Multi-
AZ
Amazon RDS for SQL
Server
RDS Provisioned IOPS
Amazon Redshift
limited Preview
Amazon ElastiCache
auto-discovery
Amazon Redshift
RDS support for 3TB &
30,000 IOPS
RDS Oracle TDE
DynamoDB Local
Secondary Indexes
Redshift global
expansion
RDS SLA (99.95% for
Multi-AZ)
Amazon ElastiCache
for Redis
DynamoDB GSI
42 new Redshift
features
DynamoDB Local
DynamoDB cross-
region support
Amazon RDS for
PostgreSQL
RDS Oracle time
zone support
Redshift SSD Node
types
Golden Gate Support
ElastiCache Redis
backup/restore
RDS SQL Server
Multi-AZ support
Redshift cross region
support, HSM
support and direct
integration with EMR
& Kinesis
Redshift Free Trial
RDS PostgreSQL
SLA
RDS MySQL buffer
pool caching
DynamoDB JSON
Support
ElastiCache Multi-AZ
Amazon RDS for
Aurora
33

34. v
Enterprise grade features and performance
at open source prices
Amazon Aurora
34

35. v
Amazon Aurora – Re-Imagining the
RDBMS
• The
rela6onal
database
reinvented
using
a
service-­‐oriented
approach
• Make
the
layers
of
the
database
scale
out
and
mul6-­‐tenant.
Started
with
storage
• Retained
drop-­‐in
compa6bility
with
MySQL
5.6.
Your
exis6ng
applica6ons
should
just
work
35

36. v
Amazon Aurora
• Service-­‐oriented
architecture
applied
to
the
database
• Moved
the
logging
and
storage
layer
into
a
mul6-­‐tenant,
scale-­‐out
database-­‐op6mized
storage
service
• Integrated
with
other
AWS
Services
like
EC2,
VPC,
DynamoDB,
SWF,
Route
53
for
control
plane
opera6ons
• Integrated
with
S3
for
con6nuous
backup
Logging
+
Storage
SQL
TransacEons
Caching
Control
Plane
Data
Plane
Amazon S3
DynamoDB
Amazon SWF
Amazon Route 53
36

37. In a connected world, data volume is going up
and response times are going down…
37

38. v
Which Database to Use?
• Existing App
• Uses MySQL à RDS MySQL à Amazon RDS for Aurora
• Uses PostgreSQL à RDS PostgreSQL
• Uses Oracle or SQL Server à RDS Oracle or RDS SQL Server
• New App
• Can avoid relational features à DynamoDB
• Must use relational features à RDS MySQL à RDS for Aurora
• Need a Data Warehouse
• Amazon Redshift

39. v
Use The Right Tool for the Job
DynamoDB
Amazon
RDS
Amazon
Redshi3
Elas6Cache

40. Let us manage the muck and
keep your databases running
40

41. So you can focus on your business
and the things that differentiate you
41

42. v
Try Amazon RDS for free
• For
your
first
year,
at
no
charge…
• Enough
free
instance-­‐hours
to
run
a
“micro”
instance
con6nuously
• 20
GB
of
database
instance
storage
• 20
GB
for
automated
backups
• 10
million
I/O
opera6ons
per
month
• Learn
more
about
the
AWS
free
6er:
hup://aws.amazon.com/free/
42

43. v
Learn more about Amazon RDS
• Amazon
RDS
home
page:
hup://aws.amazon.com/rds/
• Amazon
RDS
Frequently
Asked
Ques6ons:
hup://aws.amazon.com/rds/faqs/
• Links
to
Import
Guides
for
each
engine:
hup://aws.amazon.com/rds/faqs/#9
43

44. 44

45. 45