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Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
1
Ma
dh
up
Gu
lati, S
ha
ilesh
Dw
ive
di
Ora
cle
Pro
du
ct M
an
ag
em
en
t
Mik
e R
ad
om
ski
Sta
te U
niv
ers
ity o
f N
ew
Yo
rk (
SU
NY
)
De
plo
yin
g A
pp
lic
ati
on
s in
P
riv
ate
Clo
ud
us
ing
Ora
cle
E
nte
rpri
se
Ma
na
ge
r
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
3
Th
e fo
llow
ing
is in
ten
de
d to
ou
tlin
e o
ur
ge
ne
ral p
rod
uct
dir
ectio
n. It
is in
ten
de
d fo
r in
form
atio
n p
urp
ose
s o
nly
, a
nd
ma
y
no
t b
e in
co
rpo
rate
d in
to a
ny c
on
tra
ct.
It
is n
ot a
co
mm
itm
en
t to
de
live
r a
ny m
ate
ria
l, c
od
e, o
r fu
nctio
na
lity,
an
d s
ho
uld
no
t b
e
relie
d u
po
n in
ma
kin
g p
urc
ha
sin
g d
ecis
ion
s. T
he
de
ve
lop
me
nt,
rele
ase
, a
nd
tim
ing
of
an
y fe
atu
res o
r fu
nctio
na
lity d
escri
be
d
for
Ora
cle
’s p
rod
ucts
re
ma
ins a
t th
e s
ole
dis
cre
tio
n o
f O
racle
.
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
4
Pro
gra
m A
ge
nd
a
�C
hara
cte
ristics o
f E
nte
rprise A
pplic
ations
�M
eeting t
he n
eeds o
f E
nte
rprise A
pplic
ations v
ia
Ente
rprise M
anager
�S
UN
Y C
ase S
tudy
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
5
Ch
ara
cte
ris
tic
s o
f E
nte
rpri
se
Ap
plic
ati
on
s
1.
En
terp
rise
Ap
plic
atio
ns a
re t
yp
ica
lly m
ulti-
tie
red
ha
vin
g in
ter-
tie
r d
ep
en
de
ncie
s
2.
En
terp
rise
Ap
plic
atio
ns c
om
pri
se
bo
th p
hysic
al a
nd
vir
tua
l in
fra
str
uctu
re
•E
xa
mp
le: D
ata
ba
se
s r
un
on
ph
ysic
al w
hile
mid
dle
wa
re c
an
ru
n o
n V
Ms
3.
En
terp
rise
Ap
plic
atio
ns typ
ica
lly in
vo
lve
la
rge
vo
lum
es o
f d
ata
•D
ata
pro
vis
ion
ing ta
ke
s b
oth
tim
e a
nd
sto
rag
e s
pa
ce
, e
.g: a
mu
lti-
mo
du
le
ER
P c
an
occu
py te
rab
yte
s o
f sp
ace
fo
r re
pe
titive
fu
nctio
na
l te
stin
g
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
6
En
terp
ris
e C
lou
d M
an
ag
em
en
t: K
ey
As
ks
�S
ho
uld
be
ab
le to
de
plo
y m
ulti-
tie
r e
nte
rpri
se
ap
ps v
ia s
elf-s
erv
ice
�S
ho
uld
be
ab
le to
ru
n o
n v
irtu
al a
nd
ph
ysic
al in
fra
str
uctu
re
�S
ho
uld
en
ab
le d
iffe
ren
t se
rvic
e typ
es lik
e O
S,
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tab
ase
, M
idd
lew
are
, e
tc
�S
ho
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le a
gile
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vis
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din
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lon
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of la
rge
vo
lum
es o
f d
ata
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
7De
plo
yin
g M
ult
i-ti
er
Ap
plic
ati
on
s
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
8
As
se
mb
ly D
ep
loy
me
nt
via
En
terp
ris
e M
an
ag
er
Assem
bly
Adm
in
cre
ate
s a
ssem
bly
OH
SO
HS
WLS
WLS
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WLS
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DB
Re
fere
nce s
yste
m
Assem
bly
Arc
hiv
e
12
3
OV
AB
Stu
dio
OV
AB
Stu
dio
OH
S
WLS
Cohere
nce
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ware
Lib
rary
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/W
Lin
ux
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/W
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M
Ma
na
ge
r
OV
S
Ora
cle
VM
Re
so
urc
e P
oo
l
Deplo
y,
undeplo
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assem
blie
s
4
5
Dis
cover
applic
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ponents
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bly
topolo
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MC
C
Ora
cle
En
terp
rise
Man
ag
er
Uplo
ad
assem
blie
s
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
9
Cre
ate
Sta
nd
ard
ize
d A
pp
lic
ati
on
Mo
de
ls
1 t
o3
we
ek
s
1-2
days
1 d
ay
1-5
days
1-2
days
1-5
days
Sta
rt
On
e T
ime
Eff
ort
Sta
nd
ard
ize
•C
rea
te s
elf-c
on
tain
ed
so
ftw
are
ap
plia
nces
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limin
ate
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sto
miz
ed
on
e-o
ffs
& c
on
fg. e
rro
rs
Te
mp
latize
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fig
ura
ble
blu
epri
nts
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r
en
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plic
atio
n to
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logy
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lify r
ep
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le p
roce
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om
es
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ime
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ort
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nd
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Meta
data
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pe
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cti
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Au
tom
ate
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rch
estr
ate
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ym
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t
an
d c
on
fig
ura
tio
n
of
all
ap
plia
nces
•R
ed
uce
ma
nu
al
effo
rt a
nd
ad
min
istr
atio
n
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
10
Ora
cle
Vir
tua
l A
ss
em
bly
Bu
ild
er
Stu
dio
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rea
te a
nd
cu
sto
miz
e V
M a
pp
liance
s
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rea
te a
sse
mb
ly b
lue
print fr
om
re
fere
nce
insta
llatio
ns
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efin
e v
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an
d v
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s
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efin
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olu
me
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nfig
ura
tio
n (
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l, r
em
ote
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sh
are
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dd
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sto
m c
on
fig
ura
tion
scri
pts
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te c
usto
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pp
lian
ces
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e la
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lan
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te s
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plo
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rD
esig
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ol fo
r A
pp
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n A
rch
ite
cts
Co
pyrig
ht
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01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
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rt In
form
atio
n P
rote
ctio
n P
olic
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lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
11
Av
aila
ble
VM
Te
mp
late
s a
nd
As
se
mb
lie
s
�O
racle
Data
base
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racle
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pplic
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racle
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racle
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racle
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racle
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bli
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re a
vail
ab
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nte
rpri
se M
an
ag
er
Self
-Up
date
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
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rt In
form
atio
n P
rote
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n P
olic
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lassific
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n f
rom
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e 1
2 o
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orp
ora
te p
rese
nta
tio
n te
mp
late
12
EM
12
c I
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Iaa
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ma
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nt o
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tora
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d
Ne
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lick p
rovis
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ulti-
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ap
ps v
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sse
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lies (
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S+
+)
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olic
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rive
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ca
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p, sca
le d
ow
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na
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ES
Tfu
lAP
Is
Co
pyrig
ht
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01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
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lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
13
Be
ne
fits
of
EM
ba
se
d d
ep
loy
me
nt
Of
tem
pla
tes
an
d A
ss
em
bli
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•S
elf-S
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ice
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vis
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r R
ES
TF
UL A
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erv
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sin
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cce
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tro
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etire
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nt P
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ge
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plo
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akin
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-ga
te
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he
OS
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nfig
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ge
nt p
ush
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rge
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ve
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tom
atica
lly
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o n
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teg
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VM
pro
vis
ion
ing w
ith
3rd
pa
rty s
cri
pts
lik
e m
Co
llective
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
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se
rve
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rt In
form
atio
n P
rote
ctio
n P
olic
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lassific
atio
n f
rom
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e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
14
BE
NE
FIT
S
Iaa
Sa
nd
DB
aa
Sfo
r P
riva
te C
lou
dM
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r Tele
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ingle
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all
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cle
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environm
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racle
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sourc
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andle
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m
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arious a
pplic
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onsum
ers
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gle
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Aft
er
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cle
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terp
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an
ag
er:
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rivate
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etu
p w
ith 2
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cle
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ers
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astr
uctu
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racle
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rprise M
anager
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loud C
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or
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ud s
etu
p
and M
anagem
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ulk
cre
ation o
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Ms w
ith O
racle
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rprise L
inux
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elf-S
erv
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rovis
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EL A
ssem
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PIs
to b
uild
a c
usto
m S
elf-S
erv
ice p
ort
al
Case S
tud
y
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
15
BE
NE
FIT
S
Ra
pid
Ap
pli
ca
tio
n D
ep
loym
en
tA
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lectr
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gno
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magin
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rvention
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apid
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o b
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m D
ev,
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tim
e f
rom
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o 4
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ranula
r contr
ol over
how
clo
ud u
sers
are
mete
red/c
harg
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all
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roductivity o
f D
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est te
am
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aitin
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or
new
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iebel environm
ents
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ycle
s f
or
addin
g n
ew
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bel fe
atu
res im
pacts
com
petitive d
iffe
rentiation
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xpense b
urd
en o
n t
he IT
org
aniz
ation for
addin
g a
dditio
nal
hard
ware
infr
astr
uctu
re
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o a
ccounta
bili
ty o
n u
sage o
f IT
resourc
es
So
luti
on
:
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rivate
clo
ud s
etu
p w
ith O
racle
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rprise M
anager
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cle
VM
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RM
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racle
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bly
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uild
er
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AB
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M 1
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elf-S
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ort
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r S
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ssem
bly
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t
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ent of S
iebel app
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harg
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tud
y
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pyrig
ht
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01
3, O
racle
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ate
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rig
hts
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se
rve
d.
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rt In
form
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n P
rote
ctio
n P
olic
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n f
rom
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e 1
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orp
ora
te p
rese
nta
tio
n te
mp
late
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an
dlin
g v
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al a
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ph
ys
ica
l d
ep
loy
me
nts
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pyrig
ht
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01
3, O
racle
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d/o
r its a
ffili
ate
s.
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rig
hts
re
se
rve
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rt In
form
atio
n P
rote
ctio
n P
olic
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lassific
atio
n f
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Slid
e 1
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f th
e c
orp
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te p
rese
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tio
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mp
late
17
DB
aa
SA
rch
ite
ctu
res
Ex
isti
ng
da
tab
as
e m
od
els D
ed
ica
ted
Da
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ase
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ach
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lida
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lid
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lida
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edic
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ola
ris
Pla
tfo
rm C
on
so
lida
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er
pool
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pp
licati
on
Clu
ste
rs
Da
tab
ase
Co
nso
lida
tio
nS
hare
data
bases u
sin
g S
ch
em
a
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
18
Iso
lation a
nd
mu
ltite
na
ncy
Fa
st p
rovis
ionin
g a
nd
clo
nin
g
Se
cu
re a
nd
hig
hly
ava
ilable
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ap
plic
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n c
ha
ng
es
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na
ge
ma
ny a
s o
ne
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ate
r re
so
urc
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tiliz
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n
Pe
rfo
rma
nta
nd
sca
lab
le
Lo
we
r IT
co
sts
Ora
cle
Da
tab
as
e 1
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gg
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le D
ata
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se
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ew
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re fo
r co
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lida
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g d
ata
ba
se
s o
n C
lou
ds
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PC
RM
DW
Co
nta
iner
Data
base
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pyrig
ht
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01
3, O
racle
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r its a
ffili
ate
s.
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rig
hts
re
se
rve
d.
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rt In
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n P
rote
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n P
olic
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lassific
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n f
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e 1
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n te
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late
19
•S
elf-S
erv
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DB
, S
ch
em
aa
nd
PD
B
pro
vis
ion
ing
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ove
rna
nce
th
rou
gh
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nt
pla
ce
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nt,
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s a
nd
ch
arg
eb
ack
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teg
rate
d s
olu
tio
n fo
r d
ata
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se
life
cycle
ma
na
ge
me
nt:
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nito
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g, b
acku
p,
pa
tch
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ES
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lAP
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EM
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c D
ata
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se
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ud
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pyrig
ht
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01
3, O
racle
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r its a
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rig
hts
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rve
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rt In
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n P
rote
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n P
olic
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lassific
atio
n f
rom
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e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
20
Mid
dle
wa
re P
aa
SS
erv
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Te
mp
late
s Se
rvic
e T
em
pla
te
Co
nfig
ura
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n
Pa
ram
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rs
De
plo
ym
en
t A
rtifa
cts
Pro
vis
ion
ing
L
og
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Ho
w t
o d
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loy a
ne
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se
rvic
e in
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nce
?
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at b
its
to d
ep
loy?
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w t
o ta
ilor
the
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urc
e in
sta
nce
?
Ja
va
Se
rvic
es C
ata
log
De
vO
ps
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pyrig
ht
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01
3, O
racle
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ate
s.
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rig
hts
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se
rve
d.
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rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
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n f
rom
Slid
e 1
2 o
f th
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orp
ora
te p
rese
nta
tio
n te
mp
late
21
EM
12
c M
Wa
aS
Clo
ud
•S
elf-S
erv
ice
de
plo
ym
en
t o
f Ja
va
ap
ps
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nd
erl
yin
g r
un
tim
e/c
on
tain
er
de
livere
d a
s a
pla
tfo
rm
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na
ble
s d
eve
lop
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to
fo
cu
s o
n b
uild
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an
d d
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loyin
g a
pp
licatio
n lo
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•In
teg
rate
with
DB
aa
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r d
ata
so
urc
e
co
nfig
ura
tion
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ha
rge
ba
ck b
ase
d o
n a
pp
lica
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n u
sa
ge
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d c
on
fig
ura
tion
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elf-S
erv
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tart
, sto
p, m
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ca
le-o
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sis
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t w
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cle
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ud
imp
lem
en
tatio
n
Co
pyrig
ht
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01
3, O
racle
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ffili
ate
s.
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rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
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lassific
atio
n f
rom
Slid
e 1
2 o
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orp
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te p
rese
nta
tio
n te
mp
late
22
Sti
tch
ing
it
all t
og
eth
er
Clo
ud
AP
Is a
nd
Blu
ep
rin
ts
•C
loud o
pera
tions a
re e
nable
d t
hro
ugh
RE
ST
ful
AP
Is t
hat can b
e o
rchestr
ate
d
thro
ugh
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rdpart
y o
rchestr
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rs
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M 1
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lueprints
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lueprints
orc
hestr
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yere
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loud
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reate
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pplic
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nalo
gous to A
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se o
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s/c
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tions
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ducib
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, fe
wer
err
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raphic
al re
pre
senta
tion for
bett
er
usabili
ty
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ele
ased to
the c
om
munity v
ia O
TN
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
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hts
re
se
rve
d.
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rt In
form
atio
n P
rote
ctio
n P
olic
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lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
23
BE
NE
FIT
S
Da
tab
ase
as
a S
erv
ice
India
’s s
econd la
rgest P
rivate
Bank w
ith n
early 2
800 b
ranches, 11,0
00 A
TM
s
20 m
illio
n c
usto
mers
Em
plo
yees: 56,0
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Revenue: U
SD
5 B
illio
n
FO
CU
S O
NC
onsolid
ation, S
elf-
Serv
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rovis
ionin
g,
Lifecycle
Managem
ent
•R
educed n
ew
data
base r
ollo
ut
tim
e f
rom
3 d
ays t
o 3
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ou
rs
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tandard
ized d
ata
base o
ffering f
or
Develo
pers
and Q
A r
educin
g a
ny s
ignific
ant
configura
tion d
rift a
nd c
om
plia
nce c
halle
nges
Ch
all
en
ge:
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ata
base s
pra
wl over
168 r
acks o
f re
al esta
te
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itting p
erf
orm
ance c
eili
ng o
n e
xis
ting infr
astr
uctu
re
•R
ollo
ut of
new
data
base s
erv
ices o
ften w
ait o
n infr
astr
uctu
re;
takin
g a
nd a
vera
ge tim
e o
f 3 d
ays
So
luti
on
:
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un n
ew
data
base a
pplic
ations o
n E
xadata
while
legacy
applic
ations r
un o
n I
BM
AIX
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M 1
2c b
ased S
elf-S
erv
ice P
rovis
ionin
g o
f data
bases
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M 1
2c L
ifecycle
Managem
ent fe
atu
res for
Dis
covery
, C
om
plia
nce, P
atc
hin
g,
etc
Case S
tud
y
Co
pyrig
ht
©2
01
3, O
racle
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d/o
r its a
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ate
s.
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rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
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n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
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orp
ora
te p
rese
nta
tio
n te
mp
late
24H
an
dlin
g la
rge
vo
lum
es
of
da
ta
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
25
Clo
nin
g in
a t
yp
ica
l U
AT
cy
cle
Sub s
ettin
g,
maskin
g a
nd
applic
ation o
f te
st
meta
data
E-B
iz P
roduction D
ata
base
Test M
aste
r D
ata
base:
The r
efe
rence c
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f
data
base for
cre
ating
multip
le functional copie
s
Cre
ate
private
copy f
or
functional te
sting
Cre
ate
a r
esto
re p
oin
t
aft
er
each test
run
DB
A
Functional Q
A
Infr
equent activity (
typic
ally
once p
er
month
for
a d
ata
base)
Recurr
ing a
ctivity (
typic
ally
multip
le tim
es p
er
week f
or
each u
ser)
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
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rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
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n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
26
•F
ea
ture
s
•Levera
ge s
tora
ge c
opy o
n-w
rite
technolo
gie
s fast
pro
vis
ionin
g
•In
itia
l support
for
NA
S (
Ora
cle
ZF
S A
pplia
nce a
nd N
eta
pp)
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tegra
ted lifecycle
managem
ent (lin
eage a
nd a
ssocia
tion
tra
ckin
g)
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ime tra
vel” c
apabili
ty t
o r
esto
re a
nd a
ccess p
ast data
•B
en
efits
•A
gile
pro
vis
ionin
g (
~ 2
min
ute
s to p
rovis
ion a
1 T
B d
ata
base)
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ver
90%
sto
rage s
avin
gs (
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B o
f additio
nal space for
clo
nin
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1 T
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ata
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dm
inis
trative o
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m inte
gra
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managem
ent
DB
aa
S“S
na
p C
lon
e”
Da
tab
as
e P
rovis
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ing
in
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s
Maskin
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ett
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base
01
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10
01
1
10
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0
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01
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Co
pyrig
ht
©2
01
3, O
racle
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d/o
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ate
s.
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rig
hts
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rt In
form
atio
n P
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n P
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lassific
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n f
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Slid
e 1
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rese
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late
27
De
plo
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pp
lic
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Se
rvic
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as
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lti-
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r S
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on
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ltin
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h O
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En
terp
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an
ag
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e c
ut
the
tim
e r
eq
uir
ed
to
pro
vis
ion
ou
r R
AC
syste
ms i
n
half
.O
racle
DB
A,
tele
com
munic
ations firm
“”
Ma
in p
oin
t
Sta
nd
ard
ized
bu
ild
s b
ased
on
En
terp
rise
Man
ag
er
tem
pla
tes a
re a
massiv
e p
lus…
yo
u g
et
few
er
err
ors
, lo
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do
wn
tim
e, fe
wer
infr
astr
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re issu
es, an
d f
aste
r ap
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cati
on
develo
pm
en
t.”
“
Ora
cle
DB
A,
bro
adcast and tele
com
munic
ations firm
I can
giv
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set
of
bu
sin
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o a
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sin
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men
t an
d t
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an
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sib
le
for
the c
ap
acit
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hat
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tan
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p.
“”
Infr
astr
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re team
manager,
com
pute
r te
ch f
irm
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50
100
150
200
250
300
Pro
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g T
ime
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vis
ionin
g T
ime
With E
M12c (
hrs
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DB
aaS
DB
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+M
WaaS
Full
App
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ck
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bo
ut S
UN
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nd
IT
EC
Clo
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pro
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Use
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Clo
ud
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M S
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tio
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usin
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Ab
ou
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UN
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Fast F
acts
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um
be
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am
pu
se
s:
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um
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tud
en
ts: 4
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the
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7 C
am
pu
s C
om
pu
ter
Pro
cu
rem
en
t" o
f th
e m
id-8
0’s
–C
olle
ctive
ba
rga
inin
g w
ith
DIG
ITA
L E
qu
ipm
en
t C
orp
ora
tio
n fo
r h
ard
wa
re
an
d s
oftw
are
pu
rch
ase
s
•S
ing
le p
oin
t o
f co
nta
ct
for
ca
mp
us,
sin
gle
po
int
of co
nta
ct
for
the
ve
nd
or
–P
rovid
ed
Tie
r 1
& 2
he
lpd
esk
•S
eve
ral U
niv
ers
ity-w
ide
co
ntr
acts
in
clu
din
g O
racle
•S
elf fu
nd
ed
an
d s
elf s
uffic
ien
t, b
ud
ge
t co
me
s f
rom
th
e s
erv
ice
s w
e
pro
vid
e t
o S
UN
Y
He
lpd
esk
He
lpd
esk
Ma
na
ge
d
Se
rvic
es
Ma
na
ge
d
Se
rvic
es
Ho
stin
g
Pro
vid
er
Ho
stin
g
Pro
vid
er
ITE
C T
od
ay
SU
NY
’s P
riva
te C
lou
d•
Ma
na
ge
32
Stu
de
nt
Info
rma
tio
n S
yste
ms
(17
ho
ste
d)
•H
ost
SU
NY
’s L
ibra
ry I
nfo
rma
tio
n S
yste
m f
or
56
ca
mp
use
s
•H
ost
SU
NY
’s L
ea
rnin
g M
an
ag
em
en
t S
yste
m f
or
32
ca
mp
use
s
•H
ost
E-m
ail
an
d o
the
r a
pp
lica
tio
ns
His
tory
of
ITE
C’s
Clo
ud
Serv
ice
Ma
na
ge
d
Ho
stin
g
•A
d h
oc
ma
na
ge
d s
erv
ers
•2
we
ek
pro
vis
ion
ing
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2+
ye
ars
of
exp
eri
en
ce
Se
rve
r a
s a
S
erv
ice
•1
fre
e s
erv
er
pa
rt o
f IT
EC
ba
se s
erv
ice
s
•1
we
ek
pro
vis
ion
ing
•2
+ y
ea
rs o
f e
xpe
rie
nce
Clo
ud
S
erv
ice
s
•In
fra
stru
ctu
re a
s a
Se
rvic
e (
Iaa
S)
•S
elf
-se
rvic
e
•A
nn
ou
nce
d a
t S
UN
Y C
on
fere
nce
in
Ju
ne
20
13
Clo
ud
be
fore
Clo
ud
wa
s c
oo
l
Req
uir
em
en
ts f
or
Self
-Serv
ice
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table
, pre
dic
table
& s
elf-s
uffic
ient
•D
ynam
ic,
self-s
erv
ice,
private
clo
ud e
nvironm
ent
that
matc
hes t
he m
ajo
r clo
ud p
rovid
ers
on e
ase o
f use a
nd
functionalit
y
•C
harg
eback/S
how
back
with M
ete
ring
•In
tegra
te into
exis
ting t
echnolo
gy s
tack, w
here
possib
le
•D
eliv
er
in a
com
pre
ssed t
imelin
e d
ue t
o o
ther
SU
NY
com
mitm
ents
Wo
rklo
ad
Re
qu
ire
me
nts
in
th
e C
lou
d•
Ba
sic
Lin
ux O
S
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NS
an
d W
eb
site
ba
cku
p, n
etw
ork
an
aly
sis
to
ols
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asic
Win
do
ws O
S
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D a
nd
File
se
rve
r B
acku
p
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racle
RD
BM
S
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racle
We
blo
gic
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AM
P s
tack
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pe
nS
ou
rce
LM
S/C
MS
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oo
dle
, D
rup
al, W
ord
pre
ss, Jo
om
la
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lexib
ility
fo
r cu
sto
m te
mp
late
s b
ase
d o
n f
ee
db
ack
Evalu
ati
on
of
Op
tio
ns
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ell
Active
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m M
an
ag
er
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P C
lou
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mM
atr
ix
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pe
nS
tack
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racle
En
terp
rise
Ma
na
ge
r 1
2c
ITE
C’s
Im
ple
men
tati
on
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racle
EM
12
c C
lou
d M
an
ag
em
en
t P
ack
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racle
VM
Hyp
erv
iso
r
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racle
Vir
tua
l Asse
mb
ly B
uild
er
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EC
’s C
lou
d S
erv
ice
s S
tack
–D
ell
m1000e
–D
ell
m620 (
E5
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80
9 2
.70
GH
z, 2
56
GB
)
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ell
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ogic
PS
6110X
S
Wh
at’
s A
vail
ab
le T
od
ay
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UN
Y C
loud S
elf S
erv
ice P
ort
al
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ore
Serv
ice
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ultip
le V
M A
sse
mb
lies
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elf-s
erv
ice
fo
r:•
Vir
tua
l M
ach
ine
s
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em
ory
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PU
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isk
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xte
rna
l IP
s
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an
dw
idth
Vir
tual A
ssem
bli
es
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racle
Virtu
al A
ssem
bly
Build
er
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rea
te a
“te
mp
late
” –
sim
ple
asse
mb
ly,
sin
gle
VM
ap
plia
nce
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rea
te a
n a
sse
mb
ly –
mu
lti-
tie
r a
pp
lica
tio
n t
op
olo
gie
s
•In
itia
l Assem
blie
s–
Ba
sic
OS
(W
ind
ow
s T
em
pla
te,
Lin
ux)
–O
racle
Pro
vid
ed
Asse
mb
lies (
RD
BM
S, L
inu
x)
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EC
-va
lida
ted
Ba
se
OS
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lea
rOS
Fir
ew
all
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utu
re A
ssem
blie
s–
Fu
ll E
llucia
nB
an
ne
r S
tack –
We
blo
gic
, B
usin
ess L
og
ic a
nd
RD
BM
S tie
rs
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oa
d B
ala
nce
d W
eb
Ap
plic
atio
n S
tack –
LV
S, To
mca
t/A
pa
ch
e, M
yS
QL
/Ora
cle
User
Po
rtal
•C
ha
rge
ba
ck
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on
thly
Ch
arg
es b
ase
d o
n u
sa
ge
of
vC
PU
, M
em
ory
an
d D
isk
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ole
Ba
se
d Q
uo
ta–
Ea
ch
use
r re
ce
ive
s a
qu
ota
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llow
s u
s to
giv
e “
no
wo
rse
th
an
” p
ricin
g
–N
o s
urp
rise
s fo
r ca
mp
us C
IO
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cce
ss C
on
tro
l–
Pri
va
te V
LA
N
–V
irtu
al M
ach
ine
iso
latio
n
•C
lou
d G
ove
rna
nce
–P
riva
te c
lou
d in
fra
str
uctu
re
–N
o r
en
eg
otia
tin
g t
erm
s o
f se
rvic
e
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se
r d
rive
n fe
atu
res
Co
re S
erv
ice F
eatu
res
•A
dvanced V
irtu
al M
achin
e C
lonin
g
•V
M H
igh A
vaila
bili
ty (
HA
)
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etw
ork
ID
S/IP
S v
ia D
ell
Secure
Work
s
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edic
ate
d V
LA
N s
tructu
re
•S
UN
YN
etV
PN
(u
po
n r
eq
ue
st)
•B
ase M
em
bers
hip
Support
(4
-ho
ur
resp
on
se
, b
usin
ess h
ou
rs)
“S
UN
Y-g
oo
dn
es
s”
En
han
cin
g S
erv
ice
•O
ptio
na
l
–F
ile-level B
ackups
–M
anaged N
etw
ork
Firew
all
–C
loud M
anaged S
erv
ices
•O
pe
ratin
g S
yste
m P
atc
he
s (
ITE
C v
alid
ate
d o
r a
uto
)
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yste
m a
nd
Ap
plic
atio
n M
on
ito
rin
g a
nd
Ale
rtin
g
•E
nh
an
ce
d S
up
po
rt L
eve
l (1
-ho
ur,
24
x7
fo
r S
ev-1
)
Fu
ture
En
han
cin
g S
erv
ices
•S
tora
ge-b
ased s
napshots
•D
isaste
r R
ecovery
Zone
•C
usto
m T
em
pla
tes &
Assem
blie
s–
Sca
le u
p/d
ow
n b
ase
d o
n n
ee
d
–B
an
ne
r a
nd
Lo
ad
Ba
lan
ce
d W
eb
To
po
log
ies
•M
anaged L
oad B
ala
ncin
g
•S
ecurity
Vuln
era
bili
ty S
cans
Ch
all
en
ges
•C
om
pre
sse
d tim
elin
e
•N
etw
ork
se
cu
rity
vs. e
ase
of u
se
•W
ind
ow
s V
Ms
–Lic
ensin
g
–N
etw
ork
custo
miz
ation
•“M
ulti-
ten
an
t-n
ess”
of C
lou
d M
an
ag
em
en
t P
ack
Use C
ases
Inte
rne
t
We
b S
erv
er
Fa
rm
Bu
sin
ess L
og
ic
Se
rve
r 1
Ca
mp
us A
Priv
ate
VL
AN
1 (
for P
RO
D)
Ca
mp
us
AIn
tern
et
Ac
ce
ssib
le V
LA
N 1
Ca
mp
us
AIn
tern
et
Ac
ces
sib
le V
LA
N 2
Lo
ad B
ala
nce
rs
Ora
cle
RA
C
Ca
mp
us
Ma
nag
ed
Fir
ew
all
DE
V W
eb
Se
rve
rB
usin
ess L
og
ic
Se
rve
rC
am
pu
s A
Priv
ate
VL
AN
2 (
for D
EV
)
Ad
ditio
na
l In
tern
et
Acce
ssib
le I
P's
Da
tab
ase
Se
rve
r
IP 1
IP 2
IP 3
IP 4
PH
AS
E I
I
Cam
pu
s x
Inte
rn
et
Ac
ce
ss
ible
VL
AN
n
Ca
mp
us
x P
riv
ate
VL
AN
x
Deta
iled
Assem
bly
Fu
ture
s•
Be
ta fo
r 6
mo
nth
s
–E
xp
an
d a
va
ilabili
ty a
nd
ca
pa
city
–M
ark
et to
in
str
ucto
rs, n
ot ju
st S
UN
Y I
T
•S
oft
wa
re D
efin
ed
Ne
two
rkin
g
•M
ore
“a
s a
Se
rvic
e”
–D
ata
ba
se
as a
Se
rvic
e (
Da
aS
)
–M
idd
lew
are
as a
Se
rvic
e (
Ma
aS
)
–Te
st a
s a
Se
rvic
e (
Ta
aS
)
•D
yn
am
ic C
ha
rge
ba
ck b
ase
d o
n c
luste
r u
se
–L
ow
er
the
pri
ce
as m
ore
pe
op
le u
se
it
•S
ha
red
Gro
up
Qu
ota
s
Dri
nkin
g O
ur
Ow
n C
ham
pag
ne
•U
se
EM
Se
lf-S
erv
ice
In
tern
ally
–S
yste
ms u
ses t
o d
eplo
y V
Ms a
nd A
ssem
blie
s
•E
du
ca
tin
g S
erv
ice
De
sk
–D
eplo
y m
anaged V
Ms
•P
lan
to
em
po
we
r D
BA
s a
nd
Ap
ps T
ea
ms
–D
eplo
y t
est and d
evelo
pm
ent
VM
s
Ben
efi
ts t
o S
UN
Y•
Private
Clo
ud Infr
astr
uctu
re–
Se
cu
rity
–L
oca
l to
oth
er
Un
ive
rsity-w
ide
se
rvic
es
–G
ove
rne
d b
y N
YS
La
ws a
nd
Co
ntr
act A
gre
em
en
ts
•Levera
ges e
xis
ting k
now
ledge,
infr
astr
uctu
re a
nd lic
enses
•E
mpow
er
Users
–Im
me
dia
te a
cce
ss t
o r
eso
urc
es
–D
ep
loy V
Ms f
aste
r th
an
IT
EC
or
the
ir c
am
pu
s I
T
•N
YS
ER
DA
Gra
nts
for
Consolid
ation
–C
am
pu
se
s t
ha
t sh
ift w
ork
loa
ds t
o IT
EC
re
ce
ive
be
ne
fits
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
49
Co
pyrig
ht
©2
01
3, O
racle
an
d/o
r its a
ffili
ate
s.
All
rig
hts
re
se
rve
d.
Inse
rt In
form
atio
n P
rote
ctio
n P
olic
y C
lassific
atio
n f
rom
Slid
e 1
2 o
f th
e c
orp
ora
te p
rese
nta
tio
n te
mp
late
50
