Presentación sobre la futura base de datos 18c, en la cual se incorpora todo lo mejor de las tecnologías Oracle, perfilando así una base de datos autónoma.

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Oracle
Autonomous
Database
Guillermo
Best
Cloud
PlaAorm
Presales
Manager
November,
2017
1

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ConfidenHal
–
Oracle
2
Oracle
Database
Cloud
Service
-­‐
Strategy

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Strategy
–
Unified
Data
Management
PlaAorm
Service
Special
purpose
access
with
standards
based
integraHon
for
any
data
type
Cloud
Services
for
any
Data
Type
and
Workload
XML
{JSON}
Special
Purpose
Developer
Enabled
access
drivers
Autonomous
Database
(OLTP,
Warehousing,
Graph,
Documents)
service
NoSQL
Database
service
Hadoop
&
Spark
service
Integrated,
SQL
Standards
based
access
to
any
data
source
Oracle
SQL
NoSQL
Data
Lake

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ConfidenHal
–
Oracle
4
Oracle
Autonomous
Database
-­‐
Overview

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Oracle’s
Vision
for
Autonomous
Database
• Self-­‐Driving
– User
defines
service
levels,
database
makes
them
happen
• Self-­‐Securing
– ProtecHon
from
both
external
aacks
and
malicious
internal
users
• Self-­‐Repairing
– Automated
protecHon
from
all
downHme
5
Autonomous
Database

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Autonomous
Database
Goals
• Much
Less
Labor,
Costs,
Errors
• Much
More
Secure,
Reliable
• Much
easier
for
developers
to
get
started
with
an
industrial
strength
database
• Support
Mission
CriOcal
workloads
at
the
biggest
enterprises
• Run
in
Public
Cloud
or
Cloud
at
Customer
• Four
year
effort
that
is
in
Beta
test
now
6
Autonomous
Database

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Oracle
Database
9i,
10g
• AutomaHc
Storage
Management
(ASM)
• AutomaHc
Memory
Management
• AutomaHc
DB
DiagnosHc
Monitor
(ADDM)
• AutomaHc
Workload
Repository
(AWR)
• AutomaHc
Undo
tablespaces
• AutomaHc
Segment
Space
Management
• AutomaHc
StaHsHcs
Gathering
• AutomaHc
Standby
Management
(Broker)
• AutomaHc
Query
Rewrite
Oracle
Database
11g,
12c
• AutomaHc
SQL
Tuning
• AutomaHc
Workload
Replay
• AutomaHc
Capture
of
SQL
Monitor
• AutomaHc
Data
OpHmizaHon
• AutomaHc
Storage
Indexes
• AutomaHc
Columnar
Cache
• AutomaHc
DiagnosHc
Framework
• AutomaHc
Refresh
of
Database
Cloning
• Autonomous
Health
Framework
7
Journey
to
Autonomous
Database
• Oracle
has
been
developing
sophisHcated
database
automaHon
for
decades

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Journey
to
Autonomous
Database
• With
Engineered
Systems,
Oracle
automated
database
infrastructure
8

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Journey
to
Autonomous
Database
• Cloud
enables
Oracle
to
deliver
a
Fully
Autonomous
Database
– Expanded
Database
AutomaHon
– Integrated
with
complete
infrastructure
automaHon
– With
addiHonal
automaHon
for
operaHons,
HA,
security,
etc.
9
World’s
Best
Database
is
Now
World’s
Simplest
Autonomous
Database

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TradiHonally
DBAs
are
Responsible
for:
10
• Generic
Tasks
– ConfiguraHon
and
tuning
of
systems,
network,
storage
– Database
provisioning,
patching
– Database
backups,
H/A,
disaster
recovery
– Database
opHmizaHon
• Tasks
Specific
to
Business
– Architecture,
planning,
data
modeling
– Data
security
and
data
lifecycle
management
– ApplicaHon
related
tuning
– End-­‐to-­‐End
service
level
management

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• Generic
Tasks
– Infrastructure
-­‐
integraHon,
tuning
of
systems,
network,
storage
– Database
provisioning,
patching
– Database
backups,
H/A,
disaster
recovery
– Database
opHmizaHon
• Tasks
Specific
to
Business
– Architecture,
planning,
data
modeling
– Data
security
and
lifecycle
management
– ApplicaHon
related
tuning
– End-­‐to-­‐End
service
level
management
Autonomous
Database
Removes
Generic
Tasks
11
Freedom
from
Drudgery
for
DBA:
More
Time
to
Innovate
and
Improve
the
Business
Autonomous
Database

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Agenda
Full
End-­‐to-­‐End
AutomaHon
Specialized
by
Workload
Role
of
Database
Administrator
1
2
3
12

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Full
End-­‐to-­‐End
AutomaHon
• CreaHng
an
Autonomous
Database
is
very
difficult
• Must
handle
a
large
number
of
complex
tasks
– Provisioning
complex
scale-­‐out
clusters
with
disaster
recovery
– Patching,
upgrading,
and
backing
up
online
– Monitoring,
scaling,
diagnosing
performance,
tuning,
opHmizing
– TesHng
and
change
management
of
complex
applicaHons
and
workloads
– AutomaHcally
handling
failures
and
errors
• Autonomous
Database
brings
difficult
trade-­‐offs:
– Best
Performance
vs.
Consistent
Performance
– Simplicity
vs.
Completeness
13
Autonomous
Database

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Full
End-­‐to-­‐End
AutomaHon
• Autonomous
Database
must
be
MORE
Secure
and
MORE
Available
– Databases
are
criHcal
-­‐
no
one
wants
to
automate
themselves
into
bankruptcy
• What
makes
this
possible:
– SpecializaHon
-­‐
Oracle
has
thousands
of
engineers,
can
expertly
automate
all
areas
– StandardizaHon
-­‐
Cloud
scale
enables
learning
at
scale
and
economies
of
scale
• AutomaHon
is
a
Journey
–
like
every
other
technology
– IniHal
release
automaHon
is
very
complete
– AutomaHon
will
keep
gemng
smarter
and
beer
14
Autonomous
Database

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Automated
vs.
Autonomous
• Customer
can
choose
to
just
use
automaHon
or
hand
over
all
management
to
Oracle
Cloud
OperaHons
for
Autonomous
operaHon
• If
Customer
hands
over
management
to
Oracle
then:
– Database
and
OS
Administrator
Privileges
are
not
needed
and
not
provided
– ExcepHon
and
failure
cases
are
handled
by
Oracle
experts
• The
payoff
is
huge
-­‐
eliminate
generic
tasks,
reduce
labor,
reduce
costs,
reduce
errors,
while
increasing
security
and
availability
15

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Autonomous
Database
is
AutomaHcally
Provisioned
• Pre-­‐built,
pre-­‐opHmized,
pre-­‐tested
16

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AutomaHcally
Provisioned
• AutomaHcally
provisions
a
scalable,
highly
available
database
– Find,
allocate,
and
configure
all
needed
hardware
and
sooware
– Private
sooware
defined
network
for
customer
or
workgroup
• Visible
only
to
authorized
tenant
using
VPN
– Server,
Storage,
Virtual
Machine
– Oracle
Database
18c
Container
or
Pluggable
Database
– Scalable
RAC
Cluster
– Remote
Standby
Database
with
Observer
at
third
region
for
automaHc
failover
• IniHal
releases
run
on
Exadata
Cloud
Service
and
Exadata
Cloud@Customer
– One
database
or
system
can
consolidate
many
databases
17

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18
Autonomous
Database
AutomaHcally
Patches
Itself
Online

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AutomaHcally
Patches
Itself
• Full
stack
patching
once
a
quarter
– Firmware,
OS,
VM,
Clusterware,
Database,
using
prebuilt
Gold
Image
– Pre-­‐checks
run
in
days
before
patching
to
ensure
reliability
• Applied
in
a
rolling
fashion
across
nodes
of
cluster
for
availability
• Customer
specifies
maintenance
window
– Time
to
apply
patch
is
automaHcally
selected,
customer
can
override
• Oracle
Cloud
patches
thousands
of
systems
in
a
day
– Scale
of
patching
has
driven
huge
improvements
in
automaHon
and
reliability
19

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20
Autonomous
Database
AutomaHcally
Secures
Itself

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AutomaHcally
Secures
Itself
• Automated
ProtecHon
from
external
aacks
– AutomaHcally
applies
latest
security
updates
online
• Quarterly,
or
off-­‐cycle
for
high
impact
security
vulnerability
– NaHve
encrypHon
prevents
data
access
from
outside
the
database
• Allows
keys
to
be
managed
by
customer’s
exisHng
Security
Module
(HSM)
• Will
interface
with
Database
Aware
Key
Management
Cloud
Service
• Automated
ProtecHon
from
malicious
internal
users
– Database
Vault
prevents
administrators
from
seeing
user
data
– Data
Masking
finds
and
conceals
sensiHve
data
from
testers
• Oracle
staff
is
locked
out
-­‐
well
defined
“break
glass”
procedure,
with
customer
approval,
for
Oracle
OperaHons
to
access
system
21

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22
Autonomous
Database
AutomaHcally
Monitors
Itself

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AutomaHcally
Monitors
Itself
• Monitors
for
capacity
limits
and
bolenecks
in
key
components
– CPU,
Memory,
Storage,
Network
– Ensures
resource
exhausHon
does
not
cause
poor
performance
or
outage
– Alert
thresholds
vary
by
applicaHon,
e.g.
OLTP
vs
Warehouse
• Resource
Management
prevents
one
user
or
database
from
monopolizing
resources
• Cluster
Health
Monitor
uses
Machine
Learning
to
monitor
acHvity,
recognize
anomalous
events
and
recommend
(or
automaHcally
implements)
correcHve
acHons
23

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24
Autonomous
Database
AutomaHcally
Scales

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Automated
ElasHcity
and
Scaling
• Independent
scaling
of
compute
and
storage
– Add
and
remove
CPUs
or
enHre
compute
or
storage
servers
completely
online
• Instantly
auto-­‐scales
within
customer
defined
limits
• ElasHcity
eliminates
overprovisioning,
reducing
costs
25

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26
Autonomous
Database
AutomaHcally
Backs
Itself
UP

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AutomaHcally
Backed
Up
• Backups
are
scheduled
on
nightly
basis
• To
Database
Backup
Cloud
Service
• Or
Zero
Data
Loss
Recovery
Cloud
Service
in
the
future
for
– Lowest
overhead
– Fastest
restore
– Lowest
data
loss
• RetenHon
Time
for
backups
is
configurable
27

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28
Autonomous
Database
AutomaHcally
Withstands
Failures

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AutomaHcally
Withstands
Failures
• Autonomous
database
must
be
safer
than
manually
operated
database
• ExcepOonal
SLA
Guarantee:
– 99.995
NRX%
(No
Ridiculous
eXclusions)
– Less
than
2.5
minutes
downHme
a
month
– Includes
patching
and
upgrade,
database
bugs,
regional
outages
• Minimal
brownout
for
maintenance
29
Outage
Key
Feature
PotenOal
DownOme
Server
Outage
(HA)
RAC
Near-­‐Zero
Regional
Outage,
Disaster
Recovery
ADG
Seconds
Data
CorrupHon
ADG
Zero
Patches
(Updates)
RAC
Near-­‐Zero
Database
Upgrade
ADG
Seconds
Table/Index
Changes
Online
RedefiniOon
Zero
User
Error
Flashback
Time
Since
Error

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30
Autonomous
Database
AutomaHcally
Diagnoses
Performance

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AutomaHcally
Diagnoses
Performance
• Autonomous
Database
includes
Oracle’s
industry
leading
diagnosHcs
automaHon
• AutomaHc
Database
DiagnosHc
Monitor
(ADDM)
– AutomaHcally
diagnoses
root
cause
of
performance
issues
– A.I.
(Expert
System)
• AutomaHc
Workload
Repository
(AWR)
– AutomaHcally
keeps
detailed
performance
and
resource
uHlizaHon
history
• Real-­‐Time
SQL
Monitoring
– AutomaHcally
diagnoses
how
resources
are
used
in
SQL
statements
31

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32
Autonomous
Database
AutomaHcally
OpHmizes
Itself

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AutomaHcally
OpHmizes
Itself
• Autonomous
Database
includes
Oracle’s
industry
leading
database
tuning
automaHon
• Many
database
algorithms
self
opHmize
–
caching,
locking,
storage
indexes,
offload,
etc.
• OpHmizer
is
now
further
automated
by
gathering
staHsHcs
as
new
data
is
loaded
• AutomaHc
SQL
(Re)Tuning
– Machine
learning
technology
that
is
constantly
re-­‐evaluaHng
SQL
plans
based
on
the
latest
staHsHcs
and
recommending/implemenHng
beer
plans
• Tuning
is
workload
dependent
–
e.g.
OLTP
vs
analyHcs
so
we
specialize
services
• Tuning
is
an
extremely
difficult
problem
– Even
scheduling
a
fleet
of
trucks
to
opHmally
make
deliveries
is
incredibly
complex
– Database
has
many
degrees
of
freedom
and
tradeoffs
that
must
be
considered
33

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34
Autonomous
Database
AutomaHcally
Ensures
Changes
are
Safe

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Automates
TesHng
–
Ensures
Changes
and
Upgrades
are
Safe
• Autonomous
Database
includes
Oracle’s
industry
leading
tesHng
automaHon
• SQL
Performance
Analyzer
– Automates
and
simplifies
the
process
of
assessing
a
change
on
SQL
workloads
– Captures
producHon
SQL,
executes
SQL
in
test
environment
pre
and
post
changes
• Workload
Capture
and
Replay
– Captures
full
producHon
workload
including
concurrency
and
Hming
informaHon
– Replays
workload
on
test
environment
and
idenHfies,
analyzes,
and
fixes
issues
• Data
Masking
– Finds
sensiHve
data
and
replaces
it
with
masked
data
in
a
test
environment
35

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36
Autonomous
Database
AutomaHcally
Handles
Errors

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AutomaHcally
Handles
Errors
• Scans
for
issues
across
all
layers
of
stack
using
key
diagnosHc
tools
– ORAchk,
EXAchk,
oswatcher,
procwatcher,
etc.
• If
an
error
occurs:
– Collects
all
relevant
diagnosHc
data
– Analyses
logs
to
establish
a
Hmeline
to
disHnguish
iniHal
problem
from
side-­‐effects
– Uploads
to
Oracle
Support
– Machine
Learning
algorithm
analyses
diagnosHcs
to
match
to
known
cause
• Oracle
Engineering
using
Machine
Learning
to
prevent
issues
from
happening
– AnHcipate
bugs
customers
are
likely
to
hit,
and
prioriHze
fixing
those
first
– Determine
regression
tests
developer
should
run
first
when
modifying
code
37

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38
Autonomous
Database
Automates
MigraHon
and
Data
Loading

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Automated
MigraHon
and
Data
Loading
• Automates
migraHon
to
cloud
using
– Backup
to
Cloud
– Data
Pump
Export
– Data
Guard
Standby
– Golden
Gate
• Database
now
directly
reads
and
loads
flat
file
data
from
object
store
– No
need
to
store
file
data
on
Database
Servers
39

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Autonomous
Database
Provides
REST
Based
Interfaces
• All
Database
Cloud
provisioning
and
lifecycle
operaHons
are
exposed
through
Web
Interfaces
and
RESTful
APIs
– AcHvate/DeacHvate
Service
– Grow
compute
or
storage
– Manage
Virtual
Network
and
Security
Lists
– Manage
access
keys
– Start/Stop
Compute
• Can
be
managed
by
Oracle
Enterprise
Manager
Cloud
Control
• Allows
integraHon
with
customer’s
exisHng
automaHon
infrastructure
– ServiceNow,
OpenStack,
Cloud
Foundry
40
– Create
Database
(RAC,
AcHve
Data
Guard,
PDB)
– Patch
Database
– Clone
Database
– Configure
IO
Resource
Management
– Backup
and
Recovery

41. Copyright
©
2016,
Oracle
and/or
its
affiliates.
All
rights
reserved.
|
Agenda
Full
End-­‐to-­‐End
AutomaHon
Specialized
by
Workload
Role
of
Database
Administrator
1
2
3
41

42. Copyright
©
2016,
Oracle
and/or
its
affiliates.
All
rights
reserved.
|
One
Autonomous
Database
–
OpHmized
by
Use
Case
42
Oracle
Autonomous
Database
Enterprise
OLTP,
Mixed
Workloads
Data
Warehousing
Departments,
Developers
2017
2018
Now

43. Copyright
©
2016,
Oracle
and/or
its
affiliates.
All
rights
reserved.
|
Autonomous
Database
Cloud
For
Departments
or
Developers
• Easy
– Ideal
entry
level
service
for
running
Oracle
Database
in
cloud
– Packed
with
tools
for
modern
app
development
– Built-­‐in
ApplicaHon
Express
low
code
development
environment
• Fast
– Based
on
Exadata
technology
• ElasHc
– Choose
from
simplified
all-­‐inclusive
shapes
43
Available
Now
(Exadata
Express)

44. Copyright
©
2016,
Oracle
and/or
its
affiliates.
All
rights
reserved.
|
Autonomous
Database
Cloud
For
Data
Warehouse
• Easy
– AutomaHcally
opHmizes
AnalyHc
workloads
– Simply
“load
and
go”
– Database
tunes
itself
-­‐
No
need
to
define
indexes,
parHHons,
materialized
views,
etc.
– Works
with
any
BI
analyHcs
tool
• Fast
– Based
on
Exadata
technology
– Performance
matches
or
exceeds
most
hand-­‐tuned
Data
Warehouses
• ElasHc
– Instant
scaling
of
compute
or
storage
with
no
downHme
– Pay
for
compute
when
in
use
only
44
Expected
CY
2017

45. Copyright
©
2016,
Oracle
and/or
its
affiliates.
All
rights
reserved.
|
Autonomous
Database
Cloud
For
OLTP
or
Mixed
Workloads
45
Expected
CY
2018
• Easy
– Configured
for
Mission
CriOcal
workloads
• Full
Maximum
Availability
Architecture
with
scale-­‐out
clustering
and
disaster
recovery
– Or
Configured
for
Low
Cost
• Single
server
for
non-­‐criHcal
workloads
or
test/dev
• Fast
– Based
on
Exadata
technology
• ElasHc
– Instant
scaling
of
compute
or
storage
with
no
downHme

46. Copyright
©
2016,
Oracle
and/or
its
affiliates.
All
rights
reserved.
|
Agenda
Full
End-­‐to-­‐End
AutomaHon
Specialized
by
Workload
Role
of
Database
Administrator
1
2
3
46

47. Copyright
©
2016,
Oracle
and/or
its
affiliates.
All
rights
reserved.
|
Database
Administrator
QuesHons
and
Fears
• Will
my
job
go
away?
• Will
my
job
change?
• Will
I
lose
control?
47

48. Copyright
©
2016,
Oracle
and/or
its
affiliates.
All
rights
reserved.
|
Reality
vs.
Fears
• Your
job
will
not
go
away
-­‐
there
is
a
shortage
of
skilled
database
experts
– Database
automaHon
has
been
improving
for
decades
• But
your
job
will
change,
so
you
must
change
• You
will
spend
less
Hme
on
generic
maintenance,
more
Hme
innovaOng
• More
Hme
with
the
business
– ExecuHng
more
projects,
reducing
backlog,
gemng
more
value
from
data
– Cloud’s
fast
provisioning
and
pay-­‐as-­‐you-­‐go
enables
rapid
experimentaHon
• More
Hme
with
developers
– OpHmizing
data
access,
improving
end-­‐user
experience
• More
Hme
on
new
techniques
like
Machine
Learning
48

49. Copyright
©
2016,
Oracle
and/or
its
affiliates.
All
rights
reserved.
|
Database
Administrator
Must
Ensure
End-­‐to-­‐End
Service
Levels
• Focus
on
opHmizing
how
applicaHons
and
databases
work
together:
– Define
good
data
model,
and
good
SQL
– Avoid
row
at
a
Hme
processing,
and
repeated
logins/parsing
– Understand
where
Hme
is
being
spent
– Understand
tradeoffs
in
parallelism,
plans,
indexes,
parHHons,
etc.
– Ensure
that
sensiOve
data
is
kept
secure
end-­‐to-­‐end
– Beware
what
an
applicaHon
asks
for
–
the
database
will
do
exactly
that
• Need
new
skills
in
Cloud
Systems,
Cloud
Networking,
Cloud
Storage
– DBA
sizes,
monitors,
ensures
full
stack
works
as
expected
• Database
Administrator
will
gain
more
control
– Will
be
in
charge
of,
and
in
control
of,
end-­‐to-­‐end
service
levels
49

50. Copyright
©
2016,
Oracle
and/or
its
affiliates.
All
rights
reserved.
|
Summary:
Oracle
Autonomous
Database
• World’s
First
Autonomous
Mission
CriOcal
Database
– Self-­‐Driving,
Self-­‐Securing,
Self-­‐Repairing
– Full
End-­‐to-­‐End
AutomaHon
– Less
Labor,
Lower
Cost,
Fewer
Errors,
More
Secure,
More
Reliable
– Frees
DBAs
from
generic
operaHonal
drudgery
to
innovate
more
• Runs
– World’s
#1
Database,
Specialized
by
Workload
– In
Public
Cloud
or
Cloud
at
Customer
50
Autonomous
Database