►
Description
The last day of Red Hat Summit 2018 starts with a continuation of the day 1 infrastructure demo, adding automation and management tools to load balance deployments across the hybrid cloud. Chris Wright, Red Hat CTO, then explores emerging technologies and the culture changes that must take place to support it. Red Hat partners HPE, Dell EMC, Lenovo, and Google, and Red Hat customers Hilton, British Army, and Kohl’s take the stage to discuss the connection between emerging technology and organizational innovation.
Learn more about Red Hat Summit at http://www.redhat.com/summit
A
B
C
D
F
H
I
J
A
A
A
Morning
morning,
wow
what
an
amazing
week,
usually
about
this
time,
I
start
to
lose
my
voice
and
lose
a
little
lilz,
a
little
gray
matter
upstairs
too
so
I
hope
everybody's
having
fun.
You
know
amazing
week.
First,
you
know
the
DJ
another
Red
Hat
of
Vincent
batts
from
the
CTA's
office.
Let's
have
a
hand
for
him.
A
You
know
just
day
three.
So
much
was
just
amazing
here,
I
mean
to
me
the
the
demos
were
just
amazing
it
for
these
guys
to
stand
up
front
with
a
data
center
on
stage
you're
gonna
see
more.
Today
it
was
unbelievable,
and
yesterday
the
12
year
olds
up
here
to
see
the
future
Red
Hatters
in
action.
You
all
the
guys
in
engineering
you
better
watch
out
here
they
come.
A
These
kids
were
unbelievable,
unbelievable
and
you
know
it
makes
us
really
proud,
makes
us
really
really
proud
to
see
the
work
of
Boston
Children's
Hospital
and
giving
us
the
opportunity
to
work
with
the
doctors
and
physicians
at
the
hospital
to
really
make
a
difference
there.
That's
really
what
it's
all
about
something
for
me.
These
were
just
some
of
the
major
highlights
here
and
of
course,
last
night
the
party
started,
so
forgive
me
I'm
a
little
foggy.
I
know
my
14
years
of
the
summit.
A
I
have
not
learned
yet
don't
go
to
the
parties
that
until
the
end,
but
I
never
learned
so
this
week
you
really
really
had
an
opportunity
to
see
the
modern
hybrid
cloud.
You
know
in
action
and
that's
what
that's
what
we've
been
working
on
for
some
time,
you've
heard
from
our
customers
and
our
partners
about
the
collaboration
and
the
way
we
work
I
mean
you
know
what
one
of
the
things
we've
done
as
a
company
with
Red
Hat.
A
Is
we've
really
taken
that
collaboration
from
not
just
upstream
but
all
the
way
out
into
our
customer
base?
That's
frankly
where
we
learned
some
of
the
most
important
things
about
what
it's
going
to
take
to
put
in
our
products
to
solve
real
customer
problems.
So
I
think
that
was
important
for
us
to
bring
that
in.
You
also
heard
about
the
integration
of
core
OS
into
the
OpenShift
platform,
really
exciting.
For
us.
That
was
one
of
the.
A
You
know
major
acquisitions
that
that
we've
done
since
I've
been
here
and
we're
so
excited
to
have
those
guys
on
board,
not
just
from
you
know
the
work
and
the
technology
they
they
brought
into
the
company,
but
we
we've
meshed
so
well
with
them
in
the
engineering
group.
It's
you
know
we've
since,
since
the
first
time
we
met
those
guys,
we
said
wow,
we
really
think
alike,
so
we're
really
excited
to
have
that.
Have
that
that
opportunity-
and
today
we're
going
to
show
you
all
these
things
working
to
get
together.
We've
got
some
great
demos.
A
M
Well,
you
got
a
quick
or
two
okay.
We
have
some
really
exciting
stuff
to
walk
through.
If
you
like
what
you
saw
on
Tuesday,
you
know
we
took
the
bare
metal
apply
to
OpenStack
director
and
made
it
open
shift
ready
for
developers
with
the
ultimate
private
cloud
we
scaled
out,
workloads
across
Asia
and
Amazon.
You
saw
that
happen
also,
and
of
course,
we
took
all
your
virtual
machines
from
let's
say
a
legacy
technology
over
into
the
Red
Hat
world.
Well,
we're
gonna
go
even
bigger,
and
further
with
that
today,
today
we
have
a
mobile
application.
M
A
M
It
is
a
live
demonstration.
It
is
like
a
flying.
Trapeze
act,
it's
a
tight
wire
rack
and
we
don't
have
a
safety
net,
but
you
know,
with
your
permission,
I'd
like
to
enlist
all
these
folks
here
as
our
beta
testers.
Let's
go
for
it
have
fun.
Thank
you.
Thank
you.
So,
let's
show
you
this
architecture.
It
starts
with
a
mobile
application,
as
I
mentioned,
you're
gonna
basically
use
that
mobile
application.
You're
gonna
talk
to
our
back-end,
secured
micro
service.
M
That
micro
service
is
going
to
take
a
photo
that
you
upload
drop
it
in
to
our
distributed
file
system
based
on
cluster,
that
the
distributed
file
system,
of
course,
has
our
function
as
a
service
engine
which
will
trigger
an
event
and
apply
our
machine
learning
algorithm
to
it.
We're
going
to
take
that
score,
that
it
produces
put
it
in
our
distributed
data
grid
and
then,
of
course,
another
function
as
a
service,
then
kicks
off
and
applies
that
notification
back
to
your
mobile
phone
while
you're
waiting-
and
we
do
all
this
with
a
nicely
distributed
dashboard.
M
So
you
can
see
all
that
live
in
action.
How
does
that
sound
and
the
most
important
thing
is
we
do
this
across
all
the
clouds
we
showed
you
on
Tuesday,
so
we're
not
here
to
mess
around
we're.
Gonna
show
you
that
all
your
code
and
all
your
data
is
fundamentally
protected,
portable
and
universal.
You
can
take
it
with
you
when
you
want
to
go
okay,
so,
let's
get
started,
we're
gonna
get
started,
come
on
ESCO
fey.
N
Bienvenue
you
just
mentioned
micro
services.
When
you
start
using
Oh
services,
it's
always
a
burden
to
stay
for
the
new
one.
Some
Susan
knew
reddit
OpenShift
application
on
time
launcher
you
can
start
a
new
micro
service
in
a
couple
of
second,
let
me
show
you
this.
This
is
the
new
launcher
in
the
new,
not
sure
you
pick
a
mission,
which
is
a
stereotype
for
your
application,
whether
to
open
chief
replication.
One
terms
is
about
freedom,
so
you
can
also
pick
your
runtime.
So,
for
example,
we
have
words
right,
suam
or
a
micro
profile
implementation.
N
We
have
spring
boot,
not
GS
or
Eclipse
vertex
or
active
tool
kit
for
the
JVM
I'm,
going
to
pick
vertex,
not
only
because
I
love
it,
but
also
because
it
gives
you
super
powers
to
build
interactive
application
as
the
one
you
are
going
to
use
in
a
few
minutes,
then
you
select
your
target
environment
and,
of
course,
I'm
going
to
select
open
shift.
You
configure
your
source
repository.
You
can
review
your
changes
and
setup
the
application.
The
launcher
is
not
only
going
to
generate
the
card.
It's
also
going
to
configure
your
open
chip
instances.
N
N
We
should
already
start
Singh's
application,
building
and
heritage.
We
have
this
built
here.
Remember
what
we
have
announced
last
year
about
eclipse
shape
a
cloud
native
IDE
for
cognitive
development.
Now
cilantro
has
also
generated
the
code
and
the
code
is
there.
I
can
pick
this
URL
here
go
to
tree
here,
drop
it
and
it's
going
to
generate
a
new
workspace
already
configured
for
my
application
and
I
can
immediately
start
developing
debugging
and
testing
this
service.
As
we
have
many
many
things
to
show
you,
let
me
switch
to
the
micro
service.
N
You
are
going
to
use
in
a
few
minutes
here.
It
is,
as
I
said,
the
launcher
is
configured
OpenShift
to
continuously
build
you
to
your
application.
As
soon
as
you
push
your
change
to
your
source
repository,
but
sometimes
you
want
to
be
faster,
so
entry
was
outliving.
My
brother
I
can
just
click
on
the
Run
button.
Here
it's
going
to
package
magnification
and
deploy
it
on
up
and
shift.
So
your
code
already
have
access
to
you:
databases,
other
micro
services,
also
technical
service,
such
as
SSO
and
so
on,
was
on
living
your
browser.
N
It
gives
a
root
URL
here
we
click
on
it
and
there
it
is
I'm
going
to
speak
about
that
in
a
few
minutes.
So
in
a
few,
in
the
last
two
minutes,
we
have
created
a
new
micro
service.
We
have
configured
OpenShift
to
get
continuous,
build.
We
start
developing
it
in
tree.
This
was
not
living.
My
brother
was
not
to
ever
to
install
anything
on
this
machine
and
I
can
use
my
favorite
application.
One
time
equals
vertex
awesome.
M
And
I
also
love
Eclipse
vertex
and
hopefully
what
you
just
saw
kind
of
blows
your
mind
a
little
bit,
but
we
have
been
talking
about
this.
For
a
few
years
now,
we've
been
showing
you
the
power,
read
it
up:
redhead
Oh
blue
ship
application,
runtimes
you've
heard
about
up
ship.
Do
you
know
about
Eclipse
J
at
this
point
again
building
cloud
native
applications
in
a
cloud
native
way?
All
of
this,
of
course,
can
run
across
all
the
clouds
based
on
openshift,
but
we
actually
have
more.
M
We
want
to
show
you
ok,
so
this
is
the
way
we
build
business
logic
or
microservice.
Now,
let's
talk
about
building
business
logic
with
server
lists
or
function
as
a
service.
We
also
have
with
us
on
state.
Today,
William
Marquis
do
Marketo
Oliveira
he's
originally
from
Brazil.
How
do
they
say
hello
in
Brazil
OPA
to
the
bank?
M
M
O
I'm
super
excited
to
talk
about
server
list
and
function
as
a
service.
Hopefully
some
of
you
have
taken
the
opportunity
to
try
your
hand
at
your
first
function
with
open
shapes
cloud
functions.
We
partnered
with
IBM
in
2017
to
become
a
significant
contributor
to
Apache,
open
wisk,
bringing
service
capabilities
to
open
shaved.
As
you
know,
turbulence
is
about
to
be
more
agile,
productive
in
focusing
code.
O
So
here
let
me
show
you
you
should
remember
eclipse
is
here
from
just
moments
ago,
running
on
our
open
shapes
cluster
and
building
your
micro
service,
now
I'm
going
to
show
you
how
to
build
a
new
function.
I
have
here
this
Java
project
already
created
with
an
open
with
character
type,
and
here
is
the
Java
class
from
my
function,
which,
as
you
can
see,
have
no
special
interfaces.
No
super
classes
just
a
main
method
that
receives
a
JSON
object
and
returns.
O
A
JSON
object
now
I'm
going
to
use
a
macro
in
che
to
build
the
project
and
create
the
function.
Click
here
create
in
the
service
word.
You
do
not
help
to
build
a
whole
endpoint
that
lives
persistently
and
deal
with
the
quantization
lifecycle.
We
know
that
instead
build
a
function
tied
to
an
even
source
and
let
it
run
on
the
mend
consuming
resources.
O
Just
while
it's
running
so
the
function
has
been
created
now
I'm
going
to
invoke
the
funk
using
and
there
you
go
your
first
function,
but
now
I'm
going
to
re-execute
that
comment
from
the
Linux
terminal
that
I
have
access
here
through
che
as
well.
When
you
copy
these
there's
a
terminal
here
now,
you
can
also
see
the
container
coming
up
on
on
the
openshift
console
going
to
invoke
one
time
you
see
the
container
coming
up
and
being
disposed
once.
O
O
There
you
go,
although
we
showed
you
Java,
Python,
JavaScript
and
pretty
much
anything
that
runs
on
a
Linux
container
can
also
serve
as
a
function,
and
here
are
some
of
the
integrations
that
we
have
in
our
roadmap.
This
is
the
magic
of
how
micro
services
and
functions
can
come
together
for
the
next
generation
of
applications
that
run
on
premise
or
on
any
cloud
awesome.
M
Down
on
the
first
floor,
perhaps
you
actually
got
your
hands
on
this
lab
for
specifically
building
functions
or
microservices,
or
even
using
SEO
service
mesh
and
maybe
even
picked
up
our
free
O'reilly
book,
but
all
of
that
is
related
to
how
you
build
your
business
logic
and
a
fully
cloud
native,
but
still
portable
way,
and
that
is
totally
awesome.
But
now
I
want
to
talk
about
one
of
the
most
important
aspects
of
our
applications,
and
that
is
the
data
associate
with
your
application.
M
P
M
P
Right
BRR,
so
storage
is
typically
one
aspect
of
container
development
that
comes
secondary
once
you've
successfully
created
an
application
servus.
Where
are
you
going
to
store
the
data
that
it
produces
if
I
store
it
in
the
cloud?
How
do
I
ensure
that
this
is
accessible
from
everywhere?
Well,
what
we
have
here
is
a
very
special
file
system
based
on
Gluster
called
container
native
storage
or
CNS
for
short
at
Red
Hat.
We
wish
to
ensure
that
your
customers,
images
PDFs,
sounds,
are
universally
available,
just
as
we
have
given
you
openshift
across
three
clouds.
P
We've
also
spread
storage
across
to
all
three
clouds
using
a
federated
volume.
It's
super
easy.
We
have
a
nice
three,
a
nice
s3
compatible
API,
where
we're
going
to
push
a
file
from
my
laptop
up
to
our
private
cloud,
so
I
might
change
the
file
name
just
so
you
know
it's
live
so
I'm
going
to
issue
just
a
simple
curl
command
to
push
the
file
up
to
our
private
cloud
as
you'll
see
in
the
curl
command,
I'm,
pushing
it
up
to
bucket
four
on
our
private
cloud
and
you're,
probably
thinking
well
uploading.
P
A
file
is
easy.
We've
been
doing
that
for
years.
We're
here
is
what
is
super
cool.
We
can
go
out
to
our
object
file
viewer
that
we
have
written
and
go
to
bucket
four
on
our
private
cloud,
and
we
will
see
that
picture
right
here
of
the
Golden
Gate
Bridge.
Not
only
is
it
on
our
private
cloud,
though,
it's
also
on
Azure
and
AWS.
P
Tada
and
this
works
in
any
direction,
I
could
have
added
filed
based
data
to
any
of
the
clouds,
and
it
would
have
been
immediately
replicated
to
all
the
others.
In
addition,
the
functions
you
just
heard
about
can
be
triggered
based
on
these
file
operations.
In
our
case,
we
wish
to
process
business
logic
based
on
the
new
file
of
hearing
who
will
hear
about
that
more
in
just
a
second,
with
our
mobile
app
game.
The
key
thing
is
at
Red
Hat.
P
M
You
so
much,
and
that
is
incredible.
What
you
just
saw
is
absolutely
amazing,
I
think
it's
like
Dropbox
booked
for
enterprise
and
absolutely
multi-cloud.
You
put
your
file
in
one
location
like
our
on
stage
private
cloud,
and
it
shows
up
in
all
the
publics,
as
well
as
the
other
way
around.
It's
your
data,
you
take
it
with
you.
Keep
that
in
mind.
We
actually
have
a
lot
more
to
show
you
so
keep
paying
attention,
but
make
sure
you
do
check
out
Red
Hat
keynote
com,
I've
been
monitoring
your
activity.
M
We
need
a
few
more
of
you
in
our
game
for
our
beta
test
in
just
a
few
seconds.
So
keep
that
in
mind.
We
do
have
very
special
prizes
by
the
way
for
our
top
ten
winners.
Okay,
but
now,
let's
actually
drill
down
on
more
of
our
back-end
architecture
we
mentioned
earlier.
We
have
an
AI
based
system.
We
have
a
machine
learning
algorithm
in
this
system.
So
what
we
want
to
do
right
now
is
introduce
you
through
a
very
special
guest
he's
our
chief
data
scientist
and
our
architect
of
our
intelligent
applications.
P
Q
So
machine
learning
is
a
hot
topic
because
it
powers
today's
most
exciting,
intelligent
applications,
but
at
a
high
level
we're
just
talking
about
training,
a
system
to
compute
procedures,
from
example,
inputs
and
outputs.
Today,
we're
using
an
open
source
library
called
tensorflow,
which
is
flexible
enough
to
learn
how
to
do
simple
things
like
the
linear
regression.
You
might
remember
from
high
school
algebra
or
complex
things
like
recognizing
the
locations
of
objects
and
images.
We
actually
have
an
animation.
We
can
show
about
how
it
works.
Q
The
procedures
that
tensorflow
can
learn
are
represented
as
data
flow
networks
or
graphs
nodes
in
the
interior
of
this
graph
represent
arithmetic
operations
represent
how
data
flows
from
the
output
of
one
node
to
the
input
of
another
and
the
nodes
at
the
end
represent
results.
Now,
when
we're
training
this
network
we're
constantly
evaluating
the
results,
it
predicts
against
a
set
of
training
examples
and
making
tiny
adjustments
to
how
data
flows
to
the
network
over
time.
Q
These
adjustments
accumulate
in
order
to
minimize
error
now
in
the
intelligent
applications,
you'll
be
developing
you'll,
be
training
models
based
on
data.
You've
collected
data
about
your
customers,
your
business
or
your
infrastructure,
but
we're
using
a
technique
called
you
only
look
once,
which
is
a
network
to
detect
the
locations
of
real-world
objects
and
images.
This
train
network
can
be
deployed
on
OpenShift
to
add
image,
recognition
capabilities
to
any
application,
so.
M
Q
So
you
know,
openshift
is
a
great
platform
for
developers
and
operators.
You
might
not
know
that
OpenShift
is
also
really
suited
to
the
unique
demands
of
intelligent
applications,
meaning
it's
easy
to
deploy
machine
learning
and
AI
on
any
cloud.
Now,
we've
deployed
a
lot
of
models
as
microservices
over
the
years,
but
today
we
wanted
to
do
something
special
and
show
you
the
way
forward.
So
we
actually
deployed
a
tensor
flow
object
detection
network
as
an
open
shift
cloud
function.
This
function
gets
triggered
when
Aaron
uploads
an
image
to
that
bucket
and
returns.
Q
M
If
you
notice,
he
didn't
actually
have
to
do
anything
on
the
laptop
at
this
point
because
he's
already
trained
the
artificial
intelligence,
the
machine
learning
algorithm
and
it's
just
ready
to
rock
at
this
point
awesome
well,
thank
you
for
much
so
much
for
that,
and
we've
got
more
to
show
you
ok.
So
as
we're
showing
you
what's
going
on
through
this
diagram
here
through
the
architecture
application,
there
are
a
couple
more
components.
M
We
want
to
touch
on
right
now
before
we
turn
you
loose
on
our
little
game,
you
should
be
waiting
in
the
game
lobby
at
this
moment
and
ready
no
calm,
but
what
we
need
to
talk
more
about
is
your
data
so
we're
to
go
back
to
Marketo.
It's
gonna
talk
about
the
data
grid
capability
of
this
application.
Marketo!
Yes,.
O
We're,
like
we've
said,
have
been
studying
machine
learning
for
a
while
and
I'm
very
excited
by
what
we
have
to
show
you
today,
but
first,
let's
talk
about
something
critical,
your
data.
We
are
working
to
ensure
that
your
data
remains
your
data.
Your
data
can
be
on
a
file
system,
but
it's
also.
It
also
can
be
stored
in
a
datastore
in
our
that
data
start
today
is
redhead
datagrid
from
the
image
upload
we
received
from
Erin
from
that
transaction.
We
collected
user
information,
the
nature
of
the
transaction
and
even
the
output
of
wills
AI
engine.
O
O
O
O
M
M
We
want
to
talk
about
you've,
seen
it
on
our
chart
over
here
as
well,
and
you've
experienced
it
as
you've
logged
into
our
game
just
moments
ago
before
you
have
100
several
hundred
of
you
in
the
game,
so
Brett,
hey,
keno
comm
use
your
mobile
phone,
but
now
we
want
to
talk
about
Red,
Hat
SS.
Oh,
that
secure
sign-on
capability
you
just
stove
into
so
come
on.
Could
you
walk
us
through
that?
Yes,.
N
So
when
you
start
using
the
game,
you
know
I've
been
what
directed
to
this
page
here.
This
page
is
powered
by
where
that
SSO,
based
on
the
key
clock
upstream
project.
What
is
absolutely
awesome
about
gratis
is
so
is
that
you
can
control
all
the
authentication
aspect
of
your
application
from
this
console
here.
So,
for
example,
I
can
select
the
identity
provider,
so
we
have.
We
are
using
red
a
developer
and
Google
we
could
have
had
a
Twitter,
Twitter
and
so
on.
I
can
also
check
what
are
the
new
zircon.
N
He
authenticated
like
this
and
I
search
for
Aaron
I
can
look
at
the
detail,
but
remember
we
have
three
clouds
and
what
is
absolutely
of
some
about
this
is
at
this
configuration
and
all
the
changes
I
made
from
this
console
are
replicated
across
the
street
code.
Let
me
show
you
this
I
can,
for
example,
disable
Aaron
and
save,
and
no
Aaron
has
not
access
to
the
game
anymore,
but.
M
M
M
P
I
would
love
to
so.
Hopefully
you
all
are
signed
in
to
the
game.
Now.
You'll
notice
in
the
upper
left
hand
corner
after
years
in
which
cloud
that
you're,
sticky,
I'm,
sticky
Amazon
right
now
and
my
name
is
scarlet:
warrior
we've,
given
you
all
pseudonyms,
because
at
Red
Hat
we
also
care
about
your
privacy.
So,
let's
start
playing
the
game
now
well.
I
know
that
you
trained
the
model,
but
will
you
be
my
model?
Oh
I,.
Q
Yeah,
that's
a
really
good
point.
So
a
lot
of
people
come
back
from
technology
conferences
with
a
lot
of
bad
photos
taken
in
dark
rooms
slide
decks.
We
want
to
make
sure
you
have
some
better
photos,
so
our
scoring
algorithm
will
actually
reward
you
for
getting
a
tight
crop
really
zoom
in
on
the
things
you're
supposed
to
find,
and
you
should
get
a
better
score.
Okay,.
M
So
what
you
saw
here
is
basically,
if
you
get
a
tight,
zoom
type
crop
on
the
objects
that
you
wish
to
take
a
picture
of.
You
get
more
points
for
that,
based
on
our
scoring
function
and
based
on
the
AI
algorithm
we've
applied
here.
So
we
need
all
of
you
playing
this
game
at
this
moment,
you
actually
can
think
of
it
as
Where's
Waldo.
The
images
you're
looking
for
are
hidden
in
our
diagram
on
the
left
and
right
or
at
the
back
of
the
back
of
your
screens.
M
There
and
I
would
encourage
you
to
actually
step
up
and
walk
over
and
get
a
better
photo
if
you
want,
because
we
do
have
some
good
prizes
associated
with
the
top
ten
winners
here,
keep
in
mind
that
all
the
images
you
take
you'll
see
flowing
through
our
dashboard
moving
through
our
algorithm
and
then,
of
course,
popping
out
the
other
end.
With
your
points
and
your
player
name
on
our
leaderboard,
you
might
see
that
you
need
the
Apple
right
there.
M
You
might
need
the
horse
right
there,
I'm,
giving
you
some
hints
by
the
way
is
also
you
can
actually
take
the
party
island
mode
in
that
game
right
now
and
you
can
play
it
multiple
times,
we're
hoping
to
increase
your
score.
So
let's
say
you
only
got
ten
points
or
17
points
that,
first
time
through,
maybe
you
should
shoot
for
the
50
points
on
that
same
object
by
getting
a
better
image
of
it
right
now
so
seriously
you
can
jump
up
and
take
a
photo
of
it.
Really
you
can
move
around.
M
That's
not
that's
not
required!
You
sit
in
your
seat,
okay,
you
can
see
all
the
images
we
have
flowing
through
the
system
right
now,
hundreds
of
images
flowing
through
the
system
and
there's
a
really
great
selfies
in
there
by
the
way
I've
enjoyed
that
people
have
definitely
found
people,
and
you
can
see
right
now.
We
have
our
cosmic
Jaguar
in
the
early
lead,
but
holy
llama
right
there
neck-and-neck
at
five
hundred
points.
M
Each
this
Bosch
board
by
the
way
is
also
driven
by
a
real-time
system
using
vertex
with
a
streaming
WebSocket,
and
you
actually
are
seeing
why
we
would
have
microservices
in
one
case
and
functions
in
another.
You
want
to
maintain
that
web
streaming
socket
better
to
use
something
like
vertex
and
a
reactive,
Amica
texture
for
that
or
our
scoring
algorithm
dynamically.
Responding
to
events
in
real
time
makes
a
great
use
of
AI
makes
great
uses
function
as
a
service
okay.
So
we
have
a
lot
of
great
people.
M
M
On
the
first
floor
that
you
want
to
come
collect
at
the
most
appropriate
time,
so
he
looks
like
we're
having
some
fun
here,
but
you
know
we
we
we
do
need
to
get
all
your
attention
back
for
a
moment
for
just
one
second
I
got
it.
We
got
to
tell
you
one
more
thing,
so
we
just
put
this
on
pause
for
a
second,
oh.
M
So
we
do
have
a
few
transactions
flowing
through
the
system,
but
now
we're
buzzed
notice
on
your
phone
right
there
you
can
see
scarlet
warrior
Erin
she's
on
the
Amazon
Cloud.
You
guys
see
that
if
you're
on
Amazon
hold
up
your
phone
for
me,
oh
wow,
there's
a
lot
hundreds
of
you
on
Amazon
there's
like
400,
something
via
Amazon,
alright.
Now
here's
what
we're
going
to
do.
M
We
want
to
fundamentally
make
you
understand
that
your
code,
your
data,
is
always
available
across
all
the
clouds
you
choose
as
long
as
you
build
those
applications,
the
redhead
way
using
openshift
as
your
underlying
architecture
and
the
technology
you
saw
here
just
now.
So
here's
what
we
want
to
do
we're
going
to
pull
one
of
these
tiles
out
of
our
architecture.
We
no
longer
need
Amazon
at
this
point,
so
keep
your
phone
ready
and
actually
hold
on
for
one
more
time
we're
going
to
get
rid
of
it
in
three
two
one.
M
Watch
closely,
your
cloud,
which
was
Amazon,
is
now
going
to
be
either.
Azure
are
the
private
cloud
so
you're
going
to
get
failed
over
based
on
the
load
balancer,
taking
advantage
of
the
fact
that
that
cloud
has
gone
missing.
Yet
all
your
data
is
still
there,
you
got
it.
Yes,
you
move
to
the
private
cloud
and
Azure.
M
P
Ok
now
Burt
I
want
to
show
everyone
I
think
we
should
prove
them.
Their
data
is
still
there.
So,
let's
go
out
to
our
object
file
viewer.
You
notice
that
Amazon
is
no
longer
on
there.
We
only
have
our
private
cloud
and,
as
your
left
I'm
going
to
go
into
the
bucket
where
we
were
feeding
the
Amazon
data
and
there
is
our
Amazon
data,
no
migration
needed
yeah.
M
It's
critical,
we
basically
pre
labeled
all
the
data
with
the
cloud
it
originated
from
and
you
can
see
it's
all
held
here
too.
So
you
have
your
cloud,
you
have
your
data,
we
can
let
you
play
the
game
for
maybe
a
couple
seconds
longer,
though
we're
running
out
of
time,
and
hopefully
you
guys
will
get
a
few
more
points
there.
Lizard
duck
has
found
a
way
to
move
up
into
the
top
spot.
At
this
point,
and
of
course
you
know
your
pseudonym
and
know
exactly
what
you're
doing
inside
the
game.
M
One
hoping
had
some
fun
at
this
point.
We
do
have
to
declare
a
game
over
we're
at
a
time
at
this
point.
So
thank
you
so
much
for
the
time
you
spent
with
us
today.
You
are
a
huge
factor
in
the
presentation
that
we've
just
given
you.
Thank
you
so
much
for
these
folks
here,
as
well
as
all
the
folks
off
stage.
The
Red
Hat
engineering
team
is
by
far
and
away
the
best
on
the
planet
when
it
comes
to
doing
any
form
of
open
source
or
any
form
of
software.
M
M
R
R
Let's
start
with
a
simple
question:
what
does
innovation
in
the
enterprise
look
like
as
a
technologist
I
love
looking
at
this
from
the
technology
perspective,
but
as
we'll
talk
today,
there's
more
than
just
technology
in
the
picture.
I
don't
need
to
describe
to
you
the
complexities
of
the
enterprise,
there's
an
intricate
combination
of
current
systems
that
run
your
businesses,
most
of
which
have
been
in
production
for
years
even
decades,
and
the
need
to
adopt
new
technologies
and
techniques
to
retain
and
augment
your
competitive
edge.
R
As
you
heard,
from
Paul
on
Tuesday
open
source
is
today's
source
of
technological
innovation.
Open
source
is
a
powerful
development
model
that
delivers
amazing
technologies
like
Linux.
Many
of
the
early
open
source
technologies
were
following
the
well-worn
proprietary
software
path
by
simply
commoditizing
existing
software.
R
Today,
open
source
is
the
innovation
engine
for
the
industry.
Net
new
technologies
are
and
open-source
in
open
source
communities,
technologies
like
container
orchestration,
machine
learning
and
deep
learning.
Blockchain
are
distributed.
Ledger
technologies
with
combined
forces
open
source
collaboration
is
more
powerful
than
any
single
company,
and
much
of
this
innovation
is
happening
in
around
on
top
of
Linux.
Linux
is
really
at
the
core
of
it.
All
github
has
80
million
git
repositories
now
sure
many
of
those
are
repos
or
Forks
of
each
other.
R
There's
common
code
bases,
but
you
get
the
sense
of
the
immense
amount
of
activity
as
open
source
is
core
to
our
DNA.
We
at
Red
Hat
are
always
watching
for
emerging
trends
across
these
communities.
We
identify
where
key
platform
level
technologies
are
created
and
evolve
our
products
with
this
new
technology
in
mind.
R
R
Today's
user
experience
expectations
are
heavily
informed
by
modern
mobile
applications.
Businesses
increasingly
engage
with
their
users
through
apps,
and
these
apps
must
be
simple:
intuitive
context-aware,
personalized
to
the
user.
I'd
say
delightful
by
reducing
cognitive
load.
Users
can
get
straight
to
the
point
whether
that's
banking
booking
a
trip
or
simply
sharing
with
friends.
The
business
goal
is
to
attract
and
retain
users
intuitive
context
to
where
personalized
applications
are
often
powered
by
machine
learning.
Using
natural
processing
and
recommendation
engines
will
talk
more
about
machine
learning
later.
R
R
Bringing
more
workloads
to
a
common
platform
enables
a
level
of
operational
efficiency,
doing
more
for
less
that
can
free
up
budget
for
new
investments.
It
also
ensures
long-term
relevance
for
the
technology,
so
think.
Linux
initially
was
useful
for
a
set
of
relatively
simple
tasks
like
file
serving
mail
serving
web
serving
over
time.
That's
grown
to
all
imaginable
computing
tasks,
which
is
what
makes
Linux
so
valuable.
R
R
Let's
take
a
look
at
it
from
the
developers
point
of
view,
building
smaller
micro
services
using
CI
CD,
to
automate
the
motion
from
development
to
test
to
production.
Let's
teams
move
quickly
and
accomplish
more,
for
example,
as
you
saw
on
the
demo
earlier
this
morning,
a
cloud
native
IDE
can
help
small,
agile,
cross-functional
teams
iterate
faster,
we're
also
reducing
the
scope
of
projects
by
relying
on
reusable
api's
and
services.
R
R
And
we're
delivering
management
and
automation
to
help
Operations
teams
thinks
in
terms
of
core
policies,
Express
policy
to
the
system
and
allow
underlying
platforms
to
enforce
those
policies
appropriately
and
automatically
think
aai,
ops
and
autonomous
clouds.
Self-Healing
self-optimizing,
according
to
your
policies,
you've
heard
all
week
about
our
belief
that
open
hybrid
cloud
is
the
way
forward.
This
is
part
of
why
Red
Hat
OpenShift
is
a
core
application
platform.
If
you
reflect
on
where
we've
come
as
an
industry,
we
started
with
Hardware
vertically
integrated
with
proprietary
software
with
x86
and
Linux.
R
We
created
a
standard
application
environment,
independent
of
that
underlying
Hardware.
A
big
part
of
the
success
of
Linux
has
been
its
ability
to
support
an
amazing
variety
of
workloads
from
small
embedded
devices
to
phones
to
servers
to
supercomputers.
We
then
slowly
abstracted
away
Hardware
with
cloud
into
general
t-shirt,
size,
compute,
small,
medium
large.
R
Now
it's
time
to
enable
the
broadest
set
of
workloads
on
programmable
infrastructure
with
kubernetes,
we
have
a
general
application
platform
that
sports
scalable
distributed
applications
across
multiple
environments.
Of
course,
all
infrastructure
is
powered
by
hardware
at
the
bottom
of
the
stack
and
giving
applications
access
to
workload.
Optimized
hardware,
accelerated
environments
enables
the
broadest
set
of
workloads.
R
Of
course,
all
of
this
hardware
is
enabled
by
an
operating
system
Linux
and
as
a
kernel,
guy
I
love,
seeing
the
important
of
the
operating
system
for
Red
Hat.
Making
these
environments
available
up
the
stack
and
virtual
machines
and
containers
helps
you
take
advantage
of
these
hardware
accelerated
environments.
R
R
The
GPU
has
10
times
the
raw
capacity
for
certain
and
for
certain
deep
learning
applications
using
tensor
cores,
tensor
processors
or
FPGA
s
can
make
that
100
times
the
raw
capacity
within
the
same
power
envelope.
This
type
of
hardware
shift
can
radically
change
how
long
it
takes
to
train
an
AI
model
model.
Training
cycles
and
model
inference
are
key.
R
R
Combining
storage
that
approaches
memory
latencies
with
high-throughput
data
processing,
as
I
described
with
GPUs,
enables
a
a
new
class
of
data
driven
applications.
So
talking
about
hardware
and
innovation
brings
me
to
our
first
guest.
Our
next
speaker
collaborates
with
us
to
advance
automation
and
orchestration
NFV
for
telco
and,
of
course,
Red
Hat
solutions
for
s.
Ap
Hana
HPE
has
been
by
Red
Hat
site
for
the
past
18
years.
Just
last
week
we
announced
that
we
are
working
together
to
optimize
and
accelerate
containers
in
production
supported
by
over
4,000
Linux
professionals
from
HPE
Point.
S
L
T
Well,
good
morning,
everyone
it's
great
to
be
here
and
great,
to
see
all
of
you
during
the
last
a
couple
of
days.
Actually,
it's
been
great
got
a
chance
to
reconnect
with
the
many
of
my
colleagues
as
well
as
the
make
number
of
new
connections
here
you
know
in
my
role,
I
get
to
interact
with
a
lot
of
our
customers
and
one
of
the
things
we
hear
from
them,
and
it
was
validated
again
by
a
number
of
you
here.
T
The
last
couple
of
days
that
speed
is
everything
Amazon
is
famous
for
stating
they
deploy
code
every
eleven
point,
seven
seconds
and
talking
to
several
of
you
here
the
last
couple
of
days.
It
certainly
leads
me
to
believe
that
several
of
you
are
actually
deploying
code
even
faster
than
that,
and
it's
a
sign
of
not
just
the
ease,
as
well
as
increased
confidence
in
deployments,
but
it's
also
an
indication
of
the
shift
towards
the
micro
services
focused
architectures.
T
So
one
of
the
things
that
I'm
gonna
do
here
in
the
next
15
minutes
is
to
share,
with
you
at
least
overview
as
to
what's
fueling,
this
level
of
complexity
and,
more
importantly,
the
what
is
it
that
Red,
Hat
and
HP
are
doing
together
to
address
this
challenge
head-on
and
provide
solutions
to
really
accelerate
the
user
driven
innovation.
That
Jim
talked
about
the
last
couple
of
days.
T
So,
if
you
take
a
look
at
the
change,
certainly
you
all
used
to
change
and
the
changes
everywhere.
If
you
just
look
at
it,
took
us
years
to
go
from
bare
metal
to
what
your
host
fraction
of
that
time
to
move
to
containers
and
I
assume
that
the
move
to
functional
computing
will
be
even
quicker
than
that.
T
Just
look
at
the
advances,
so
that
has
happened
over
the
past
number
of
years,
not
just
the
emergence
of
cloud
but
advances
in
machine
learning,
artificial
intelligence,
blockchain
and
Chris
talked
about
the
user
experience
as
more
and
more
devices
get
connected
at
the
edge
and
with
people
process
technologies
with
context-aware
applications.
It
truly
increasing
our
expectations
and
the
type
of
seamless
and
personalized
experience.
We
all
want
just
think
about
your
own
experience.
Getting
to
this
conference
I.
Imagine
for
many
of
us.
T
It's
the
sign
of
the
flourishing
ecosystem
of
micro
services
and
applications,
largely
driven
by
the
api's
over
a
widely
distributed
infrastructure
system
and
the
language
is
the
frameworks
that
are
likely
involved
in
making
that
experience
happen.
Likely
involved,
go
Python,
dotnet
to
Java
and
many
others
all
expected
to
communicate
with
each
other
over
standardized
interfaces.
So
clearly,
you
can
see
how
our
lives
are
really
dependent
on
complex
workloads
and
applications
and
in
driving
this
kind
of
enablement
experience
for
all
of
us
now,
as
the
expectations
are
going
up
from
a
user
experience
standpoint.
T
The
Clewell
of
complexity
continues
to
go
up.
In
fact,
there
was
a
study
done
not
too
long
ago,
which
pointed
out
that
rigid
technology
infrastructure
is
the
leading
barrier
for
preventing
rapid
innovation
and
speed
to
market
and
they're
number
four.
The
factors
that
play
here,
because
with
the
rigid
technology
infrastructure
and
the
lack
of
for
the
skills
needed
within
IT
to
build
emerging
environments
and
capable
of
running
these
new
stacks
in
an
optimal
fashion.
What
that
does
is
for
a
develop
Road
data
scientist.
T
T
The
traditional
view
of
the
forward
data
center
owned
and
operated
by
IT
is
dead.
The
new
data
center
is
amorphous
and
rapidly
changing.
I
think
all
of
us
would
agree
that
the
workloads
just
do
not
run
within
just
the
four-walled
data
center.
They
could
be
in
a
public
cloud,
they
could
be
in
a
Colo
facility
and
they
could
be
procured
through
a
SAS
provider.
T
The
fact
is
that
the
new
amorphous
data
center
is
extending
to
all
these
service
providers
and
locations
and
it's
dynamic
in
nature.
The
next
is
really
the
reliance
on
data,
the
increase
in
micro
services
and
applications,
largely
driven
by
the
vast
amount
of
data
and
the
diverse
mode
data
that
we're
generating
and
consuming.
In
fact,
the
metadata
is
ever
playing
an
increasingly
important
role,
as
it
relates
to
providing
insights
as
well
as
in
the
decision
making
where
to
place
a
specific
data
stream.
T
In
fact,
many
many
people
refer
to
the
data
as
the
new
oil
that,
when
it
leaks,
is
messy
and
the
ramifications
are
far
greater
than
the
side
of
the
disaster.
This
is
what's
creating
even
more
complications
when
we
architect
and
run
applications
and
services
to
also
figure
out
how
we
treat
the
data
that's
flowing
through
them.
T
In
fact,
it's
a
safer
practice
to
put
the
service
closer
to
the
data
source
rather
than
having
to
pull
all
the
data
in
a
central
location,
but
one
of
the
studies
predicted
that
70%
of
the
data
will
reside
at
the
edge
by
2022
and
making
edge
computing
as
the
next
revolution
after
the
cloud,
especially
when
you
think
about
the
IOT
use
cases.
That
starts
to
become
more
and
more
of
a
reality,
and
the
next
is
really
the
paradox
of
choice
as
a
developer
or
with
an
IT.
T
At
worst,
and
you
add
to
the
increasing
complexity
related
to
the
regulatory
environment
and
changing
compliance
requirements,
it
can
certainly
overwhelm
an
organization-
and
this
is
where
Red,
Hat
and
HPE
have
jointly
partnered
together
to
provide
you
a
very
simplified
way
on
your
hybrid
IT
journey
and
we
use
this
set
of
building
blocks
at
the
base.
You
notice
that
we're
moving
away
from
infrastructure
as
a
service.
Our
customers
repeatedly
tell
us
that
anyone
can
do
infrastructure
the
service.
What
their
developers
are
looking
for
is
a
true
platform
your
service.
T
So
this
is
where
we
have
taken
over
consumption
capabilities
and
partner,
with
the
Red
Hat
on
open
shift
and
in
truly
delivering
on
container
platform
is
a
service
that
developers
are
demanding.
Next.
Is
that
really
the
workload
solutions?
We
work
with
many
for
clients
and
helping
them
prioritize
the
workloads
and
determine
the
optimal
location
as
to
where
to
place
that
workload?
T
T
The
orchestration
really
plays
a
key
role
in
aggregating,
disparate
the
multiple
hybrid
IT
services,
to
provide
you
high-quality
delivery
of
these
services
in
a
seamless
fashion,
and
all
of
this
will
be
for
nothing
if
we
can't
give
you
a
very
simplified
way
to
manage
multi
card
environment.
So
this
is
where
HPE,
once
the
fair
launch
comes
into
place.
In
fact,
if
you
haven't
seen
it
I
encourage
you
to
stop
by
the
HPE
booth
and
take
have
a
first-hand
look
at
it.
T
It
truly
simplifies
the
multi
cloud
environment,
and-
and
this
is
where
we're
also
looking
to
further
integrate
this
with
the
Red
Hat
OpenShift
integration.
We
are
open
service
broker.
So
just
to
kind
of
give
you
a
couple
of
quick
examples
with
HPE
synergy
and
for
those
of
you
may
not
be
familiar
with.
Synergy
is
the
industry's
first
composable
infrastructure
by
HPE,
which
gives
you
the
ability
to
pool
fluid
resources
and
with
the
software
intelligence
and
unified
API.
T
Readiness
and
integration
and
number
of
speakers
have
talked
about
the
rising
use
cases
around
machine
learning
and
enterprises
are
leveraging
software
driven
compute,
as
well
as
IOT,
sensors
and
artificial
intelligence
to
study
patterns
and
to
predict
failures.
So
this
is
where
at
HPE,
we
launched
project
one
AI
and
you
can
apply
this
to
number
of
different
use
cases
and
we
actually
call
this
unified.
Intelligent
data
platform,
a
UI
DP
for
short,
and
you
can
apply
to
number
of
different
use
cases.
T
So
you
can
see
how
both
red
hat
NH
PE
are
continue
to
work
together
to
automate
and
standardize
these
environments,
so
you
can
actually
run
applications
at
scale
analytics
has
scale
and
while
dealing
with
come
xD
because
one
thing
we
want
to
make
sure
of
as
both
companies,
we
want
to
take
all
that
complexity
from
from
you
and
just
have
it
all
hidden
and
make
it
as
automated
as
we
can
and
standardize
it.
So
you
can
as
a
developer.
T
You
can
spend
your
time
on
coding,
as
Chris
just
touched
on
we're
working
with
our
clients
on
modernizing
their
legacy
portfolio,
but
also
providing
them
the
applications
with
the
portability
that
they
desire.
Over
the
last
year,
there's
been
tremendous
modernization
they're
coming
out
of
the
HPE.
We
launched
our
industry
first
to
suite
of
consumption
services
under
the
umbrella
of
Green
Lake,
not
just
as
part
of
the
flexible
infrastructure.
T
So
you
only
pay
for
what
you
use,
but
you
also
have
specific
workloads,
whether
it's
sa
P
Hana
backup
as
a
service,
Big,
Data
and
several
other
top
workloads
to
give
you
the
flexibility
that
you
need,
and
it
gives
you
fast
access
for
experimentation.
So
if
the
environment
is
successful,
you
can
quickly
scale
and
if
not,
quickly,
redeploy
the
resources
and
apply
the
lessons
we
learned
in
the
next
iteration.
T
R
All
right,
thanks,
parvesh,
our
work
with
HP
'is,
intelligent
infrastructure
is
an
excellent
example
of
innovation
in
the
hardware
space
that
Spurs
innovation
in
applications
and
architecture.
So,
let's
take
a
minute
to
talk
about
a
space
where
we're
seeing
one
innovation
lead
to
another.
The
network,
the
telco
industry
is
undergoing
major
network
transformation.
R
R
Let's
take
a
look
at
some
cool
innovation
that
our
customer
tell
us
has
created
in
this
case,
we're
talking
about
closed-loop
network
automation,
using
machine
learning
for
traffic
classification
as
part
of
the
Telus
intelligent
automation,
platform.
I
love
this,
because
you
often
think
of
machine
learning
use
cases
such
as
image
recognition.
We
saw
this
morning
in
the
demo
or
maybe
anomaly
or
fraud,
detection
and
financial
services,
but
tell
us,
is
intelligent.
App
automation
platform
is
built
on
RedHat
OpenShift
as
a
platform
for
scalable
micro
services.
R
R
This
is
a
classic
autonomic
computing
system
pattern
described
in
research
as
monitor
analyze.
Plan
execute
with
its
intelligent
automation
platform
tell
us
is
able
to
engineer
end-to-end
traffic,
including
customer
premise,
equipment,
the
network,
core
vnfs
and
even
other
carriers
resulting
in
optimized
occupancy
of
their
converged
edge
network,
we're
exploring
other
areas.
In
addition
to
Network
automation,
5g
is
next-generation
mobile
infrastructure.
R
It
provides
lower
latency,
higher
bandwidth
and
a
higher
density
of
connections.
It
enables
new
use
cases
like
autonomous
vehicles,
arv
our
IOT
and
all
of
these
network
devices
are
generating
more
and
more
data,
whether
it's
sensors
cameras
or
smart
devices
edge
computing
extends
today's
device
to
cloud
model,
adding
a
new
physical
tier
where
applications
can
run
an
edge
cloud.
R
R
R
U
Well
great
and
it's
great
to
be
here
at
red
hat
summit.
So
thanks
for
having
us,
but
we've
seen
a
great
deal
of
evolution
in
our
in
our
two
companies
relationship
over
time.
Around
2000,
we
started
very
early
validations
of
Linux
on
our
power
edge
line
of
servers
that
soon
morphed
into
Dell
being
the
first
om
to
factory,
install
Red
Hat
on
our
servers,
which
has
become
the
preeminent
OS
for
many
of
the
fastest-growing
applications
in
the
world.
U
I
could
do
like
high
performance
computing
and,
like
si
P
Hana,
we
also
were
the
first
to
launch
a
fully
validated
OpenStack
solution
on
power
edge
with
Red
Hat
and
then
finally,
we've
created
joint
innovations
together
over
that
time
period
that
18-year
frame,
which
basically
enable
the
ease
of
implementation
ease
of
consumption.
Of
that
joint
technology.
Jet
pack
is
one
of
those
innovations
we
did
together.
R
U
I
just
described
a
trend
of
innovations
that
we've
done
together
and
what
we've
done
for
customers
over
18
years
and
the
pace
of
innovation.
The
pace
of
the
the
market
demands
of
innovation
just
continue
to
skyrocket.
We
just
announced
this
week
our
bare-metal
validated
ref
arc
for
openshift
on
power
edge
as
well.
So
we
continue
to
find
great
technologies
from
Red
Hat
that
we
can
inject
into
our
infrastructure
solutions
and
provide
an
end-to-end
solutions
to
fully
support
it
fully
vetted
for
our
customers.
U
R
U
It's
pretty
much
what
the
theme
of
what
I've
heard
from
many
of
the
presenters
today,
so
the
ability
of
enterprises
to
drive
digital
transformation
and
IT
transformation.
It's
a
it's,
a
publish
or
perish
type
of
world
you
have
to
change
or
you
will
many.
Existing
enterprises
are
facing
new
entrants
with
new
business
models,
attacking
their
their
mainstream
and
existing
industries
and
and
existing
players
have
to
have
to
drive
a
technical
change
to
be
able
to
adapt
to
those
new
business
models
and
and
persist
in
the
marketplace.
U
U
U
One
one
innovation
that
I
would
like
to
talk
about
today
is
our
recent
update
to
our
OpenStack
platform
that
we've
done
with
with
Red
Hat.
So
we
launched
our
industry-leading
14th
generation
of
PowerEdge
servers
last
year
and
about
towards
the
end
of
the
year
we
launched
in
our
refreshed
version
of
our
OpenStack
solution
with
Red
Hat.
U
So
what
I
like
to
do
now
is
kind
of
transfer
to
transition
the
conversation
to
ideas
worth
discussing
and
one
of
the
ideas.
That's
worthy
of
discussion
is
the
Internet
of
Things
and
I
know.
Many
of
you
have
heard
the
concept
of
data
being
the
new
gold
or
data
being
the
new
oil.
Well,
I
would
disagree
with
that
that
premise
a
little
bit
because
oil
and
gold
or
commodities
derive
their
value
from
their
scarcity
and,
as
you
can
see
from
this
slide,
data
is
not
forecasted
to
be
scarce.
U
Our
analysts
project
that
that
over
the
next
couple
of
years
that
connected
devices
will
grow
to
about
200
billion,
there's
about
30
for
every
man,
woman
and
child
on
earth.
So
some
of
you
are
carrying
too
many
cellphones
and
and
have
too
many
televisions,
but
there
will
be
a
propensity
of
connected
devices
over
time
with
that
will
come.
U
The
the
proliferation
of
data
analysts
estimate
that
about
600
petabytes
I'm
sorry,
is
that
a
bytes
of
data
will
be
created
in
that
timeframe,
but
that's
a
600
with
2103
mother,
effer
ins,
a
lot
of
data
and
even
if
they're
half
wrong,
is
still
a
lot
of
data
and
to
capture
that
opportunity.
Dell
Technologies
is
investing
a
discretionary
1
billion
dollars
out
of
the
the
family
of
companies
to
go
after
that
opportunity.
I
suspect.
U
Most
of
you
flew
by
commercial
airliner
to
get
here
today,
and
so,
let's,
let's
use
the
airline's
industry
as
a
case
study
quickly
to
talk
about
IOT.
So
a
single
aircraft
has
multiple
systems
and
subsystems
and
mechanical
systems,
electrical
systems,
avionics,
fuel
systems,
location
services
and
every
one
of
those
systems
and
subsystems
is
pot.
It
has
the
potential
to
generate
data
most
of
the
airliners
today.
U
Every
other
subsystem
in
that
airliner
has
the
capability
to
generate
copious
amounts
of
data
that
could
be
leveraged
for
gain
by
the
aircraft
companies
by
the
passengers.
We
could
talk
a
little
bit
about
the
fact
that
that
a
machine
could
generate
information
that
would
tell
the
pilot
where
to
fly
in
terms
of
headwinds
and
how
to
avoid
extra
fuel
costs.
U
Predictive
maintenance
have
the
components,
tell
the
aircraft
companies
the
the
managers
of
the
planes
when
parts
are
going
to
fail,
predictively
so
that
that
maintenance,
crews,
parts
and
whatnot
can
be
on
location
when
that
plane
lands
so
that
it
can
be
changed
out
proactively,
so
that
you
don't
miss
that
connection
for
your
next
flight.
So
there
will
be
copious
amounts
of
data
that
can
be
a
created,
managed
harnessed
to
create
the
capability
of
both
men
and
machine
to
learn
and
manage
that
aircraft,
and
it
can
be
harnessed
across
an
entire
fleet
of
aircraft.
U
You
can
teach
the
personnel
to
behave
with
with
a
heightened
sense
of
awareness
about
what
the
machine
itself
is
telling
the
crew
and
so
Dell
and
Red
Hat
combined,
have
already
have
existing
solutions
together.
That
can
capture
that
on
the
one
end
we
have
a
edge
gateway,
it's
Linux
powered.
It
allows
you
to
put
a
collection
device
close
to
where
the
machines
are
generating
data
and
you
get
you
can
collect
all
that
information
from
all
those
sensors.
It's
got
great
power
to
coalesce
and
cleanse
that
data
and
again
it's
open
source
powered.
U
So
it
is
a
brave
new
world,
we're
looking
forward
to
being
able
to
exploit
the
opportunity
and
help
customers
exploit
the
opportunity
of
the
power
of
the
data
that
the
world
and
their
machines
and
their
equipment
will
create
for
them,
and-
and
we
look
forward
to
doing
that
with
our
partners
in
crime,
Red
Hat
we've
done
a
lot
of
good
work
with
them.
We
believe
that
that
our
solutions
span
the
gamut
from
from
the
edge
to
the
core
to
the
cloud
together
and-
and
we
can
do
a
lot
of
valuable
work
for
our
customers.
R
Alright,
thanks
for
joining
us
Mike,
you
know,
we've
been
talking
about
how
much
change
has
come
to
hardware
and
and
how
that
happened.
Let's
take
a
look
at
it
from
the
business
side
as
well.
How
do
you
connect
people
across
your
organization
today
versus
you
know,
5
years
ago,
10
years
ago?
How
do
you
break
down
those
silos
and
collaborate
at
at
all
levels
really
align
IT
and
the
business
to
drive
business
agility
companies
like
Lenovo
play
a
critical
role
in
exploring
these
ideas.
R
V
Good
morning,
thanks
Chris
for
the
intro
look,
innovation
is
not
new.
Most
of
us
actually
have
spent
multiple
waves
of
innovation
during
the
course
of
our
careers
and
we've
had
the
chance
to
experience
the
benefit
of
that.
What
is
new
is
how
quickly
innovation
and
emerging
technologies
can
create
grow
and
even
replace
businesses.
V
So
when
I
look
at
innovation,
I
say
well,
you
know
what
really
is
happening.
Is
it's
fueling,
our
economy,
globally,
innovations,
the
source
of
job
creation,
it's
the
source
of
GDP
generation,
and
it
is
the
future
determinant
of
who
will
be
the
winners
and
losers
in
every
industry.
Both
businesses
and
governments
are
using
innovation
as
a
foundational
element
in
their
long-range
strategic
plans.
V
In
the
government's
you'll
see
initiatives
like
smart
cities
and
digital
citizens
engagement
as
their
innovation,
vectors
businesses,
almost
all
have
digital
transformation
plans
or
digital
strategies,
of
which
they're
requiring
a
significant
amount
of
innovation
in
the
company
to
pull
those
off.
So
what
that
means
from
a
and
IT
perspective
is
the
core
expect.
Haitians
of
IT
have
changed,
and
we're
now
expected
to
lead
in
this
innovation
cycle,
but
I
actually
think
that's
easier
said
than
done
right
when
you
think
about
AI,
blockchain
cloud,
cognitive,
computing
and
all
of
the
emerging
technologies
we
have
out
there.
V
We
have
to
think
differently
about
how
we
develop,
deploy
and
then
operate
those
technologies,
and
we
have
to
synchronize
them
with
our
business
processes
to
get
to
new
operating
models
that
create
the
most
value
we
can
create
for
our
companies.
So
let
me
give
you
an
example:
do
we
have
any
golfers
in
the
room?
Nobody
golf
so
I
grew
up
going
to
the
driving
range
and
in
cities
all
over
the
world,
including
the
town
that
I
live
in.
There
are
signs
like
this.
Let's
say
sorry,
this
driving
range
is
closed
forever.
V
Now
it
used
to
be
a
very
good
place
to
go,
we
would
go
as
a
family,
you
would
practice
golf.
It
was
a
social
experience,
but
you
were
trying
to
get
better
at
something.
Now
did
we
lose
interest
in
golf?
Actually,
there
are
more
golfers
now
than
there
were
10
years
ago,
but
has
anyone
been
to
a
top
golf?
V
So
it's
actually
more
of
you
they've
been
a
top
golf
yeah.
So
top
golf
is
not
a
driving
range,
even
though
they
have
a
hundred
on
average,
a
hundred
hitting
Bay's
at
every
top
golf,
their
golf
entertainment
and
they
created
the
category
of
golf
entertainment
in
fact,
they're
one
of
the
fastest
growing
businesses
in
the
United
States
they
have
over
10
million
unique
visitors
last
year
visited
a
top
golf.
They
spend
way
more
than
you
would
spend
at
a
driving
range
and
37
percent
of
the
people
that
go
to
top
golf
are
non
golfers.
V
V
V
In
fact,
I
say:
winners
and
losers
will
be
defined
by
those
companies
who
exploit
what
technology
can
do
for
them
and
make
the
business
model
changes
needed
to
do
that,
but
first
they
have
to
empower
their
employees
to
make
it
happen,
and
you
all
are
uniquely
positioned
to
make
that
technology
vision
come
to
life
right,
but
it
does
require
that
we
reframe
how
we
think
about
the
role
of
IT
and
a
company.
So
historically,
the
number
one
job
for
any
IT
organization
was
to
keep
the
business
running.
V
So
we
had
to
make
sure
you
could
take
orders
ship
product
pay,
people,
those
types
of
things.
All
of
that
is
still
important.
It
matters,
but
it
really
is
just
table
stakes.
The
new
mandate
for
IT
is
much
broader.
In
fact,
it
ranges
from
reimagining
what
your
customers
experience
could
be
driving
a
level
of
Missy,
an
unexpected
level
of
engagement
from
your
customers
with
your
company
and
your
products
and
services.
V
It
means
using
things
like
AI
to
drive
extreme
levels
of
productivity
into
the
company
that
moved
to
the
bottom
line
and
improve
profitability,
and
then,
of
course,
it
does
also
mean
that
we
invent
and
create
new
products
and
services.
Wrapping
technology
enables
services
around
existing
products
and
services
to
create,
in
some
cases,
new
categories
like
TopGolf
did
and,
in
other
cases,
to
displace
legacy
products
at
Lenovo.
We
continue
to
bring
solutions
to
market
that
help.
V
You
deliver
on
this
new
IT
mandate,
and
let
me
give
you
a
couple
examples
of
what
I
mean
so
first,
our
mission
and
vision
at
Lenovo
and
the
data
center
group
is
to
be
the
most
trusted
data
center
partner
you
could
have,
but
we
want
to
empower
your
intelligent
transformation
and
help
to
solve
humanity's
greatest
challenges.
An
example
of
that
is
our
think
system,
sd-6
50,
which
is
pictured
up
there,
which
is
our
warm
water
cooled
product.
V
So
this
is
the
fourth
generation
of
warm
water
cooling
that
we
have
at
Lenovo
and
it
allows
you
to
run
the
servers
at
113
degrees
up
to
113
degrees
Fahrenheit,
which
means
in
a
lot
of
cases
you
don't
need
chillers.
It
also
means
dramatic
energy
cost
reduction,
and
so
it's
apropos
that
the
hardware
implementation
and
the
infrastructure
we
deployed
at
lrz,
the
largest
supercomputer
in
Germany,
uses
this
technology,
because
what
they're
doing
is
researching
climate
change
and
trying
to
reduce
the
global
carbon
footprint
and
they
started
with
reducing
the
footprint
in
their
data
center.
V
This
technology
also
allows
for
you
to
take
the
water
from
that
system
and
use
it
in
the
heat
exchange
and
use
that
heat
in
other
parts
of
the
building
so
recoup
it
to
heat
the
building
and
you
get
energy,
reuse,
multiple
levels,
so
I
think
that's
pretty
cool.
The
second
area
is
our
product
is
our
think
system?
Sr
950?
This
is
our
high-end
system,
so
it's
a
eight
way,
mission-critical,
really
good
for
database.
V
In-Memory
databases,
analytical
large
transaction
workloads,
that
kind
of
stuff,
and
of
course
it
is
the
latest
Xeon
processor,
so
45
percent
performance
improvement
over
the
previous
generation.
You've
come
to
expect
that,
though,
what
I
really
like
about
this
product
is
the
front
and
rear
modular
trays.
So
on
both
sides,
you
can
take
out
a
slide
drawer,
tray
that
and
then
you
have
access
to
every
subsystem
in
the
server.
V
This
dramatically
improves
the
time
it
takes
to
service
the
product,
and
if
you
wanted
to
do
a
memory
upgrade
or
if
you
wanted
to
reconfigure
a
drive
bay,
you
have
access
to
that
without
having
to
take
the
server
out
of
the
rack
and
you
have
it
from
both
the
front
in
the
rear.
So
you
can
see
these
are
just
some
examples
of
innovation
across
our
entire
portfolio,
but
we
also
embrace
the
open-source
community
and
its
focus
on
innovation
to
deliver
better
solutions
throughout
the
ecosystem
and
red-hats
a
key
piece
of
that.
V
So
we've
continued
to
make
more
and
more
investment
and
commitments
into
the
open
source
community
at
Lenovo,
and
probably
the
easiest
way
to
think
about
that
is.
You
know:
we've
taken
board
seats
at
DMT,
F
and
J
deck
and
the
PCI
D
pci-sig,
and
we'll
continue
to
do
that
and
we're
working
very
closely
with
Red
Hat,
so
I,
don't
think
very
many
things
today
get
done
without
partnership,
and
that's
true
here.
V
Our
partnership
with
Red
Hat
has
allowed
us
to
co,
engineer
solutions
to
do
that
and
Chris
mentioned
one,
which
is
our
X
clarity,
product
in
cloud
forms
and
so
being
the
first
to
do
that.
We
also
have
a
new
DevOps
practice
based
on
open
shift
right,
as
we
think
about
the
value
that
containers
will
create
enable
that
deployment
inside
the
organization.
V
So
we
also
have
just
formed
our
own
cloud,
open
cloud
team
at
Lenovo
and
they're
focused
on
using
Red
Hat
offerings
like
OpenStack
and
Saif
to
bring
service
provider
solutions
in
play.
One
of
the
areas
is
our
NFV
solution
stack.
That
is
also
now
a
certified
intel,
select
program,
I
think
if
you
saw
Doug
Fisher
on
Tuesday,
he
mentioned
this,
but
this
is
our
solution
stack
based
on
Red
Hat
software
that
greatly
simplifies
the
deployment
of
NFV
into
the
service
provider
market.
V
We're
also
doing
some
proof
of
concepts
at
this
time
with
a
Lenovo
intelligent
network
controller
to
help
with
the
network
area.
So
you
can
learn
more
about
all
of
these
at
our
booth.
So
if
you
stop
by
our
booth,
you
can
learn
about
what
we're
doing
hybrid
cloud,
IT
transformation
and
future
innovations
that
we
have.
V
So
you
know
I
think,
look
our
job
if
everyone
in
this
room
is
to
bring
innovation
to
life
and
through
you,
it's
your
efforts
in
every
company
that
are
going
to
fuel
the
global
economy
going
forward,
but
also
make
sure
your
business
is
prosper,
but
that's
a
little
hard
work,
so
we're
gonna
have
some
fun.
So
there
are
three
people
in
this
audience
that
are
winners
and
you
are
the
lucky
winners
of
the
Lenovo
Jedi
Challenge
experience.
So
this
is
an
award
winning
virtual
reality.
Experience
based
on
the
latest
Star
Wars
movie,
of
course.
V
So
look
under
your
seat
if
you
have
a
sticker
that
looks
like
this.
You
are
a
winner
and
here's
the
most
important
part.
In
order
to
pick
up
your
Jedi
challenge
experience,
you
need
to
go
to
the
Lenovo
booth,
its
8:03,
and
you
need
to
talk
to
Shay.
Matthews
Shay
has
the
things
and
can
help
you
arrange
to
get
at
home.
So
congratulations,
I,
know
everybody's
looking
did,
did
you
find
them?
Did
anybody
find
your
sticker?
All
right,
I
see
one
there
great
all
right.
So
congratulations
to
all
the
winners.
V
R
All
right
that
was
cool
thanks,
Kim,
it's
partners
like
HP
e,
Dell
and
Lenovo
that
helped
us
harness
emerging
technology
and
bring
new
solutions
to
market.
Of
course,
all
of
this
innovation
must
be
exposed
through
software
platforms
that
are
useful
to
developers
and
can
run
a
broad
set
of
workloads.
R
You
could
say
development
is
the
art
of
creating
business
value
through
code.
Our
goal
is
to
make
the
developer's
job
easier
developers
everywhere.
Are
writing
useful
code
for
the
business
and
when
they
can
focus
on
business,
specific
challenges
build
and
test
their
code
quickly
and
easily.
We
are
that
much
closer
to
finding
the
next
innovation
one
of
the
useful
innovations
we're
looking
at
today
and
is
server
list
or
function
as
a
service.
We
are
investing
in
Apache,
open
wisk
on
top
of
kubernetes,
as
you
saw
in
the
demo
this
morning.
R
This
is
a
continuation
of
what
we
started
from
bare
metal
servers
to
virtualized
servers
to
cloud
instances
to
containers
now.
In
addition,
server
lists
is
event
triggered.
I
think
an
event-driven
asynchronous
programming
model
is
arguably
the
best
way
to
build
things.
However,
you
know
it's
complex
and
with
a
platform
like
open,
wisk
developers
can
focus
on
application
logic,
not
creating
and
managing
a
finite
state
machine
by
offloading
responsibilities
to
the
platform
we
can
maximize
developer
efficiency.
R
Microservices
based
applications
and
a
service
mesh
or
other
areas
that
have
our
attention.
You
heard
Byrne
and
his
team
talk
about
them
today
and
you
know
I
hope
you
caught
the
labs
and
breakouts
earlier
in
the
week.
If
not,
you
can
still
pick
up
a
book
on
sto
from
the
dev
zone
as
we
decompose
an
application
into
a
set
of
reusable
micro
services.
The
network
plays
a
fundamental
role
in
recombining
those
services
into
an
application.
R
R
Sto
can
also
provide
tracing
data
for
distributed
application
insights.
So
this
is
another
great
example
of
taming
complexity.
By
augmenting
the
platform,
the
system
manages
all
these
aspects
of
networking,
letting
developers
focus
on
business
logic.
There's
a
huge
interest
in
this
teo
right
now
and
like
open
wisk,
it's
one
of
the
new
exciting
things
happening
in
open
source.
R
Blockchain
or
distributed
ledger
technology
is
emerging
tech,
that's
applicable
to
you,
know
multiple
industry
verticals.
It's
an
example
of
one
of
those
diverse
workloads
that
runs
well
on
open
shift,
drawing
from
a
dynamic
ecosystem.
We've
been
involved
with
the
hyper
ledger
project
for
quite
some
time
and
even
lead
the
performance
working
group
within
that
community.
R
We're
also
enabling
blockchain
to
work
well
on
top
of
open
shift
and
to
satisfy
our
customer
needs.
We're
working
with
our
partners.
We've
created
the
openshift
blockchain
initiative.
So
as
an
example,
open
shift+
block
apps
allows
us
to
deliver
blockchain
as
a
service.
So
with
our
partners
we
can
provide
solutions,
smart
contracts,
supply
chain
or
other
likely.
Private
permissioned
distributed
ledger
requirements.
R
Hardware,
innovation
and
breakthroughs
and
software
development
are
valuable
to
your
business,
but
unless
you
can
harness
those
advances,
make
them
part
of
your
operational
processes
and
improve
your
operational
efficiency
with
regularity.
Then
you
will
not
move
as
fast
or
as
far
as
you
could
have
to
take
full
advantage
of
DevOps.
Both
cultural
and
operational
changes
are
required
in
the
same
way.
Digital
transformation
requires
more
than
just
technology.
Innovation,
management
and
process
must
also
transform
it's
no
longer
about
something
you
can
buy
and
solve
with
a
single
management
tool.
R
You
know
with
or
some
specific
product
it's
about
control
and
policy,
efficient
operations
of
a
large
hybrid
infrastructure
analytics
and
the
ability
to
do
something
with
them.
As
Jim
told
you
yesterday,
we
need
to
rethink
how
we
work.
Planning
is
dead,
but
that
doesn't
mean
we
can't
move
forward.
No
two
organizations
are
exactly
the
same,
which
is
why
there
are
many
different
ways
to
configure
systems
and
processes,
enable
more
people
to
share
information
and
make
decisions
and
engage
with
as
many
teams
as
possible.
R
R
W
Good
morning
so
I
know
everyone
said
a
Hilton
last
night
ray.
If
you
did,
you
may
have
used
some
of
the
things
I'm
about
to
talk
about
so
three
years
ago.
At
Hilton,
we
knew
we
needed
to
drive
innovation
into
our
platforms
to
deliver
key
capabilities
such
as
digital
check-in,
room
selection,
digital
key
on
our
app,
which
would
allow
our
guests
to
bypass
the
front
desk.
To
enable
this
innovation,
we
knew
we
had
to
renovate
and
modernize
our
platforms.
W
There
were
two
key
enablers
for
this
effort:
first,
having
the
executive
sponsorship
right
from
the
beginning,
this
helped
us
create
alignment
across
teams
dedicated
people
and
resources
to
this
effort
and
get
the
necessary
backing
a
sport
for
management.
The
second
key
item
was
implementing
a
bimodal
strategy.
This
allowed
us
to
be
able
to
free
team
members
from
day-to-day
activities
and
dedicate
themselves
to
innovation
and
really
focusing
on
that
platform.
W
Next
step
was
culture.
We
allow
enable
teams
to
work
collaboratively
together,
empower
them
to
make
decisions
and
instilled
an
agile
mindset,
so
they
can
be
flexible.
Nimble,
make
incremental
progress
having
these
structure
and
the
culture
in
place.
Next
thing
we
looked
at
was
technology,
that's
where
Redhead
comes
in
be
used;
rel,
ansible
openshift,
to
build
out
our
cloud
platform.
W
Automation
was
a
key
part
to
this
effort
as
well.
It
helped
us
reduce
cycle
time
from
code,
commit
to
deployment,
enabled
self-service
capabilities
to
allow
developers
to
be
able
to
move
at
their
own
pace,
allowing
the
dev
teams
to
be
able
to
scale
up,
add
more
resources,
and
it
made
it
less
costly
and
easier
for
us
to
do
so
in
closing
having
the
right
culture
and
mindset
from
the
beginning,
having
executive
buy-in
coupled
with
new
tools
technologies
like
open
shift,
it
really
became
an
incredible
force
to
help
drive
innovation
forward
and
help
make
us
successful.
W
X
Y
Y
Z
Ice
provide
services
like
data
warehousing
ERP,
support
for
veterans,
secure
comms
and
big
data.
The
digital
transmission
had
to
happen
because
we
were
running
on
older
hardware
that
was
become
D
supported.
We
were
running
on
operating
systems
that
were
causing
us
issues.
We
were
very
much
bare-metal.
We
would
need
to
become
more
virtualized.
X
X
Y
Y
So,
first
of
all,
why
change?
What
were
the
drivers?
I
think
you
need
to
understand
that
the
British
Army
is
a
conservative
public
sector
organization
as
traditional
processes
and
policy.
Some
of
them
go
back
hundreds
of
years.
There's
a
reluctance
to
challenge
the
status
quo.
We're
not
used
to
disruptive
behavior,
in
fact,
disruptive
behavior.
Obviously,
when
you're
on
operations
sometimes
can
get
people
killed,
and
you
don't
want
that,
but
we
need
to
divert
a
develop
that
culture,
but
also
we
have
constraining
financial
and
commercial
approaches
that
that
mean
that
we
can
no.
Y
Y
Y
However,
despite
all
of
the
above,
the
decision
to
change
your
approach
was
not
driven
top-down.
It
was
very
much
driven,
bottom-up,
probably
at
the
time,
because
the
army
had
no
recognized
chief
information
officer,
no
chief
technical
officer
and
no
chief
data
officer,
which
we
do
now
all
have
in
place.
Y
So
this
led
to
a.
We
led
us
to
decide
to
adopt
a
new
approach
of
agile
and
then
DevOps
to
better
support
the
user
need
and
the
business
outcomes
in
a
much
more
timely
manner.
The
insight,
an
innovative
spirit
of
my
predecessor,
Brigadier
Sarah
Sharkey
and,
of
course,
my
colleague
on
stage
left
handed
Colonel
joy
in
Seabrook,
were
absolutely
key
to
driving
that
process.
Dorian
good
morning
summit.
AA
18
about
four
years
ago,
we
were
in
the
process
of
trying
to
identify
what
what
we're
going
to
do,
what
the
organization
we
were
going
to
be,
and
at
that
point
we
recognized
the
generative
organization
that
we
are
in
training
and
operations
is
very
akin
to
that
of
DevOps.
It's
about
giving
people
responsibility,
working
collaboratively,
working
to
a
common
mission
and
working
to
a
common
goal.
So
that
was
very
much
the
spark
of
our
innovation
to
move
in
that
direction.
AA
But
to
do
that,
we
actually
had
to
set
out
what
it
is
we
were
trying
to
achieve
and
we
we
came
up
with.
Hopefully
what
was
a
pithy
vision
statement
and
that
vision
statement.
It
was
very
much
into
two
forms.
The
first
one
was
very
much
about
looking
after
the
user
community
and
providing
our
users
with
secure,
reliable
and
a
high
quality
code
that
was
well
supported
so
that
they
could
deliver
their
outputs.
AA
The
second
part
of
that
was
very
much
about
trying
to
take
all
the
good
work
you,
the
IT
industry,
that
use
and
do
take
that
and
learn
from
it
and
bring
it
into
our
organization.
We
were
very
blatant,
seeing
other
organizations
and
saying
how
do
you
do
DevOps
and
we're
willing
to
come
and
invade
any
of
your
organization's
and
learn
from
how
you've
done
DevOps
as
well.
AA
So
how
do
we
manage
to
change
the
organization,
a
conservative
organization
that
can
turn
at
the
pace
of
an
oil
tanker?
Well
I'm,
going
to
take
it
at
five
themes,
but
before
I
go
into
those
five
themes?
None
of
this
was
highly
planned
as
you'd
expect
of
a
military
operation
very.
Like
Jim,
said
yesterday,
it
was
all
very
much
high-level
roadmap
and
as
we
further
and
got
into
it
into
this
journey,
we
undiscovered
more
and
how
we're
going
to
go
about
it.
AA
Those
five
themes:
first,
two
I
really
want
to
cover
jointly
and
they
are
leadership
and
very
much
the
cultural
change
and
it's
not
a
box
ticking
exercise.
As
I
said
yesterday,
we,
the
leadership,
had
to
walk
the
walk
as
well
as
do
the
talk
talk,
fortunately
from
Sandhurst,
a
military
academy
of
training,
we're
very
much
taught
to
serve
to
lead
and
that's
about
empowering
people
giving
them
responsibility
and
allowing
them
to
make
things
happen.
So
we
had
that
ethos
within
us.
AA
However,
we
did
have
to
learn
quite
a
lot
about
the
DevOps
ways
of
working
and
leadership
as
well.
We
had
to
become
comfortable
will
actually
failure
fail
is
a
good
thing
as
long
as
it's
not
catastrophic,
we
learn
from
it,
bring
it
back
into
the
organization.
We
have
to
be
willing
to
be
challenged
on
a
daily
basis.
People
challenge
us
and
go
Seabrooke
chop
C,
that's
a
bad
idea
and
we
had
to
be
very
supportive
of
wild
ideas.
You
never
know
where
they
might
lead.
You
know
one.
One.
AA
Wild
idea
has
led
us
to
start
to
save
millions
of
pounds
from
the
reserve
service,
bringing
the
cultural
aspect
into
that.
We
had
a
lot
of
silos,
we're
a
very
traditional
IT
organization.
It
was
about
roading,
those
silos
and
Satan
and
I'm.
One
strap
line
was
we're
one
team
we're
trying
to
achieve
one
mission
and
in
doing
so,
we've
very
much
won
about
rewarding
people
and
recognizing
people
for
those
that
actually
started
to
use
those
behaviors
and
work
across
the
organization.
AA
The
third
part,
for
our
third
theme
was
very
much
about
bringing
agile
into
the
organization.
For
us.
Agile
was
a
key
to
a
key
factor
in
changing
us,
primarily
because
it
brought
the
product
owner
in
it,
brought
the
business
with
them,
and
the
business
now
fully
understood
some
issues
and
difficulties
that
we
had,
but
they
were
now
starting
to
see
code
rolled
out
on
a
regular
basis,
adding
value
to
the
business
that
also,
we
very
much
used
as
an
ink
spot,
bringing
one
team
in
and
then
as
users.
AA
Our
own
teams
identified
that
actually
agile
was
a
good
thing
that
ink
spot
just
grew
and
grew,
and
the
dachshund
group,
the
fourth
theme
for
us
and
very
much
a
game
changer
is
very
much.
The
continuous
delivery
didn't
have
a
big
budget.
We
didn't
want
to
do
this,
Big
Bang.
We
just
wanted
to
do
it
incrementally
so
I
had
to
find
the
engineers
that
really
understood
where
we
were
going
and
give
them
some
room
to
and
time
to
actually
build
build
the
tools
configure
them
integrate
them,
and
we
did
it
piece
by
piece.
AA
We
went
from
continuous
integration,
automation
of
test
and
then
into
continuous
release.
Bat
and
itself
was
a
good
thing
for
us
because
it
actually
the
people
who
were
using
it
were
the
people
who
are
building
it
and
they
really
helped
him
vandalize
that
to
the
rest
of
the
teams
and
the
final
point
from
us.
It's
very
much.
We
were
very
much
final
theme
is
we
were
very
much
a
monolithic
application
organization.
We
are
dear
to
Conway's
law.
We
had
functional
applications
for
functional
silos,
each
duplicating
services
in
there.
AA
So
what
we've
done
over
time
is
actually
remediated
code,
reduce
it
strangulate
it
and
start
to
decal
it
and
bring
it
into
services
and
for
us,
the
speed
of
change
of
a
small
piece
of
code
is
a
lot
quicker
than
trying
to
deploy
the
whole
monolith
again.
So
that
was
very
much
how
we've
gone
about
bringing
agile
and
DevOps
into
our
organization,
colonel.
Y
Dorian,
thank
you
so
you've
heard
the
drivers
you've
heard
the
how,
but
so,
what?
What
did
that
mean
to
our
business?
Well,
I
know.
You've
got
find
it
hard
to
believe
both
Dorian
and
I
between
us
of
sir
for
50
years.
How
long
we
young
we
look
on
stage
that
was
a
bit
of
a
harsh,
laugh
though
I
think
harsh,
but
fair.
Y
We
have
little
experience
of
actually
having
happy
customers,
and
you
know
what
our
users
mean
everything
to
us
and
now
what
we're
seeing
is
customers
that
come
back
to
us
are
on
a
regular
basis
and
they're
happy.
They
like
what
we
produce
to
them,
they're
involved
in
what
we
produce
and
that's
a
novelty
and
that's
great,
we've
also
become
the
go-to
organization
in
defense
for
software
development,
but
also
we
put,
we
can
provide
that
intelligent
customer
function,
and
that
makes
us
unique
in
defense.
Y
For
an
organization
that
is
not
focused
on
profit,
but
on
spending
taxpayers
money
more
and
more
wisely,
we
are
also
enabling
substantial
savings.
Over
the
last
four
year
period,
we
should
probably
save
the
British
military
about
a
hundred
million
pounds
and
we
have
a
target
of
fifty-six
fifty
to
sixty
million
pounds
annually.
Y
Y
We
need
to
drive
data
coherence
across
the
enterprise
in
conjunction
with
the
army
chief
data
officer
who's.
Now
newly
appointed
we've
also
just
been
selected
to
deliver
the
defense
center
of
excellent
for
robotic
process
automation,
which
is
a
good
step
forward
and
we're
working
with
our
sister
services.
In
the
Royal
Air
Force
and
the
Royal
Navy
to
develop
similar
capabilities
as
we
have
developed
in
the
Army,
so
they
can
start
using
the
advantages
of
DevOps
and
agile
culture.
Thank
you
for
listening
to
our
story.
Y
R
All
right,
thanks
to
FERC
on
chops,
II
and
Dorian
I,
think
the
new
innovation
is
hotels,
providing
combat
pajamas
I,
don't
I,
don't
know
trying
to
figure
out
what
the
theme
was
there.
So
this
is
why
I
love
hearing
our
customer
stories,
no
matter
where
you
know
where
you
are
or
how
your
organization
is
structured.
There
is
still
opportunity
for
collaboration
and
innovation
to
really
win
out
and
looking
at
two
customers
with
such
different
environments,
we
truly
see
the
strength
of
an
open
source
approach.
R
R
Hilton
was
able
to
take
advantage
of
executive
buy-in
to
support
their
ambitious
plans,
whereas
the
British
Army
gained
confidence
by
demonstrating
capability,
a
very
effective
way
to
create
genuine
excitement
and
engagement,
and
perhaps
because
of
the
kinds
of
support
the
different
teams
encountered.
Their
approach
to
project
selection
also
varied
Hilton
needed
big
changes
and
was
willing
to
take
on
the
cost
and
risk
of
larger
projects.
R
R
In
an
ideal
world,
all
companies
would
be
perfectly
suited
to
the
future,
but
we
live
in
the
real
world
and
the
reality
is
the
very
few
organizations
have
the
structure,
ability,
support
and
foundation
already
and
waiting
for
the
next
big
thing.
This
is
why
so
many
of
you
talk
to
us
about
transformation,
you're,
looking
for
ways
to
better
prepare
for
what's
next,
however,
whether
you're,
ready
or
not
the
world
is
changing
and
rapidly
our
systems,
data
and
everything
we
need
to
do
with
them,
keep
growing
at
astronomical
rates,
as
you
saw
from
Mike's
earlier
slide.
R
R
Just
a
few
minutes,
Google's
chief
decision
scientists
will
be
here
but
before
she
gives
you
more
information
about
what
intelligent
apps
will
really
look
like
we'll
hear
from
a
shared
customer
Kohl's
about
their
journey
with
Red,
Hat
and
Google.
So
please
welcome
rich
from
Kohl's
and
Cassy
from
Google.
R
AB
Thing
so,
first
of
all,
it's
great
to
be
here.
I
was
really
looking
forward
to
summit
this
year
and
then
I
saw
Weiser
was
playing,
and
that
put
me
right
over
the
top
icing
on
the
cake.
So
looking
forward
to
that
so
Coles
we're
a
department
store,
almost
1,200
stores,
49
states
about
19
billion
in
revenue.
We've
got
about
a
thousand
person
IT
shop,
another
2,500
people
and
managed
services
around
the
globe.
AB
So
big
big
technology
footprint
were
based
in
Wisconsin
outside
Milwaukee,
but
we
also
have
a
tech
center
here
in
the
Silicon
Valley
and
Milpitas,
so
longtime
redhead
customer
when
I
got
to
call
us
about
eight
years
ago
there
was
a
small
pocket
in
the
data
center
running
a
rel,
and
it
was
a
distant
third
out
of
three
operating
systems
that
calls
and
I
look
today,
eight
years
later,
Rell's
the
predominant
operating
system
and
we've
just
signed
on
for
open
shift
is
our
past
platform
and
our
hybrid
cloud
effort.
We
have
efforts
underway
around
cluster
ActiveMQ.
AB
AC
AB
So,
as
we
embarked
on
our
hybrid
cloud
journey,
we
felt
it
was
important
to
pick
a
primary
public
cloud
provider,
one
cloud
provider,
even
though
multi
clouds
inevitable,
we
felt
one
primary
was
the
right
approach
where
you
would
go
very
deep
and
understand
that
platform,
all
the
nuances,
how
to
optimize
your
workloads
to
run
cost-effectively,
how
to
use
networking
all
that
all
the
details
in
in
we
chose
Google
and
there's
really
a
few
reasons
for
that
one
is
we're
an
existing
customer.
We
use
G
Suites
ads,
but,
more
importantly,
there
were
a
few
things.
AB
AB
They
said:
hey
yeah,
this
GCP
deals
great,
you
know
appreciate
that.
But
what
do
you
want
to
do
together
like
what
problems
do
you
want
to
solve
in
retail,
and
we
found
that
pretty
interesting,
but
I
think.
Lastly,
the
the
tie
breaker
a
lot
of
great
cloud
offerings
out.
There
was
machine
learning
we.
We
believe
that,
like
all
of
you,
probably
that
that's
the
next
big
unlock
in
our
industry
and
we
felt
that
Google
was
really
the
leader
in
that
space
and
that's
where
we
wanted
to
hit
our
wagon.
That's.
R
AB
Would
say
that
as
I've
gone
through
my
career,
one
of
the
things
I've
gotten
a
much
greater
appreciation
for
is
the
value
of
partnerships.
I
would
say
earlier
in
my
career.
I
didn't
probably
spend
a
lot
of
energy
on
that,
but
having
gone
through
really
good
partnerships
and
other
partnerships
that
weren't
so
good,
it
can
take
years,
if
not
a
decade,
to
unwind
from
some
of
those
decisions
that
you
make
right
so
I
think
the
secret.
Is
this
the
secrets
to
understand
what
your
values
are
as
a
company
in
their
in
gold?
AB
Fine
part
that
aligned
to
those
values?
Okay,
so
with
us,
it's
pretty
simple,
we're
a
very
engineering
lead
organization,
and
we
feel
that
you
guys
both
aligned
really
nicely
to
that.
Secondly,
we're
very
committed
to
a
future
of
open-source
okay,
not
only
just
open
source
but
enterprise-grade,
open
source
right
that
we
can
run
our
business
on.
So
we
felt
that
with
the
future
being
so
uncertain,
we
don't
know
where
all
this
is
going
five
years
from
now.
AB
So
what
you
need
to
do
is
find
a
partner
that
has
the
right
stuff
in
their
DNA,
so
that,
as
new
products
are
announced
and
new
acquisitions
are
made,
you
know
they're
going
to
continue
on
that
path
of
engineering
centric
in
a
commitment
to
open
source.
So
to
us
that
that's
really
what
it's
about
and
that's!
Why
we're
thrilled
to
partner
with
these
two
companies
and
looking
forward
to
a
great
future?
Well.
R
AC
So
have
any
of
you
had
that
moment
where
you
realize
everyone
is
using
some
word,
and
you
have
no
idea
what
that
means,
but
you're
too
afraid
to
ask
at
this
point
what
even
is
machine
learning?
Well,
it's
an
approach
to
making
lots
of
small
decisions
or
data,
something
involving
algorithmically
finding
patterns
in
data.
But
let
me
just
put
it
bluntly
so
that
we
can
all
get
it.
It's
a
thing,
labeler.
Essentially
that's
what
machine
learning
is
it's
just
a
thing
we
blur,
so
why
on
earth?
Should
you
be
excited
about
thing,
labeling?
AC
Well,
here's
my
pet
Huxley
and
you've
just
taken
in
some
pretty
complicated
data
through
your
senses,
and
you
just
know
that
that's
a
cat
and
if
I
show
you
a
different
image,
you're,
not
fooled!
You
still
know
that
that
label
is
cat.
Your
brain
just
does
this.
You
don't
even
know
how
your
brain
does
it
now
if
we
wanted
to
get
a
computer
to
perform
this
labeling
task
for
us
if
we
went
the
traditional
way,
you
know
this
programmers
we
would
communicate
with
the
universe
in
some
way.
AC
Think
really
deeply
about
the
problem
and
come
up
with
a
model.
That's
a
model.
It's
just
a
recipe,
it's
a
set
of
instructions
that
the
computer
has
to
follow
to
get
from
the
image
to
the
label,
and
we
would
have
to
handcraft
that
now
think
about
what
this
recipe
would
have
to
be
for
the
computer
to
correctly
detect
that
there's
a
cat
in
an
image
I
mean
think
about
what
you,
your
brain,
actually
did
with
those
pixels.
Can
you
express
that?
AC
Do
you
know
what
your
brain
is
doing
or
have
you
just
had
the
benefit
of
eons
of
evolution
when
it
just
kind
of
figures
it
out
for
you
now
that
recipe
is
really
hard
to
handcraft?
Wouldn't
it
be
better
if
you
could
just
say
to
the
Machine
here,
look
at
a
bunch
of
examples
of
cats.
Look
at
a
bunch
of
examples
of
not
cats
and
just
figure
it
out
yourself.
AC
That
is
what
machine
learning
is
all
about.
It
is
a
completely
different
programming
paradigm.
Now,
instead
of
giving
explicit
instructions,
you
program
with
examples
with
data
and
let
that
machine
learning,
algorithm
figure
it
out
and
stitch
that
code.
That
goes
in
between
for
you,
so
why
should
you
actually
be
excited
by
this
thing?
Labeling?
Well,
engineers.
You
know
we
like
to
get
computers
to
do
stuff
for
us
and
there's
a
whole
class
of
tasks
where
we
just
cannot
express
the
instructions.
AC
AC
Microwaves,
who
here
in
the
audience,
knows
how
a
microwave
oven
works
well
enough
to
build
a
new
one
from
scratch,
raise
hands
who
can
build
a
new
one?
Do
I
see
any
takers,
any
takers,
no
hands
yeah
me
neither
who
here
has
never
used
one
to
reheat
food
you
all
have,
even
though
you
have
no
idea
how
it
works,
you're
still
happy
to
use
one
right,
and
anyone
here
feel
like
you
would
have
no
idea
how
to
get
hold
of
one
I,
don't
know
like
maybe
at
Kohl's.
AC
If
you
needed
one
now,
you've
just
told
me,
you
have
no
idea
how
it
works.
So
how
could
you
possibly
trust
this
microwave?
Well,
you're,
not
gonna
trust
it
by
reading
the
wiring
diagram.
Are
you
you're,
gonna
trust
it
by
checking
that
it
actually
does
work
by
having
good
idea
of
what
you
want
it
to
do
for
you
and
then
tasting
what
comes
out
on
the
other
side,
and
that
is
exactly
what
you'll
do
with
machine
learning.
AC
I
mean
this
is
a
perfect
analogy
for
machine
learning,
know
what
they
don't
tell
you
about
machine
learning
when
we
use
that
term.
It's
actually
machine
learning
is
not
one,
two
completely
different
disciplines
that
are
as
different
as
building
microwaves
from
scratch
and
innovating
in
the
kitchen,
and
you
need
completely
different
skill
sets
for
these.
AC
If
you
want
to
be
a
machine
learning
researcher,
you
are
building
general-purpose
tools
for
other
people
to
use,
and
so
the
bad
news
there
is
that
there
is
quite
a
lot
of
Education
that
you
need
to
get
takes
a
little
while
to
ramp
up,
because
how
on
earth
are
you
gonna
build
a
better
microwave
than
the
one
that
exists
already,
there's
some
pretty
sophisticated
stuff
out
there.
If
you
have
no
idea
how
the
current
one
works,
so
that's
the
bad
news
takes
a
long
time
to
become
a
machine
learning
researcher.
AC
AC
So
we
give
you
those
wiring
diagrams
as
a
springboard
so
that
you
can
go
and
build
a
better
microwave
than
what
we
have
using
our
blueprints
and
tend
to
flow
a
really
popular
machine
learning
project
started
at
Google
before
we
open
sourced
it,
because
we
believe
that
the
community
as
a
whole
so
much
more
innovative
than
just
any
one
of
us
alone.
But
let's
face
it.
Most
of
you
are
not
here
to
build
general-purpose
microwaves.
You
just
want
to
get
cooking.
AC
You
just
want
to
use
these
things
to
solve
business
problems,
and
so
you
are
in
the
completely
other
discipline
applied
machine
learning.
Now,
for
that
you
do
not
need
a
PhD.
You
don't
need
to
know
how
backpropagation
works
in
neural
networks,
any
more
than
a
chef
needs
to
know
how
a
microwave
is
wired.
AC
Instead,
what
you
need
is
a
really
good
kitchen
plan
and
we
at
Google
provide
that
for
you.
Let
me
show
you
some
of
the
things
that
we
have
and
what
you're
gonna
need
kind
of
depends
on
what
you're
cooking,
if
you're
cooking
with
usual
ingredients,
data
and
you're,
making
usual
dishes,
labels,
predictions
so
say,
you're,
making
pizza!
Please
don't
go
reinvent.
The
concept
of
pizza
from
scratch.
There's
already
recipes
out
there
and
you
can
just
grab
those
recipes
and
start
making
pizza,
and
that
is
what
our
cloud
api's
are
all
about.
AC
These
are
recipes
that
we've
already
built,
but
you
can
just
pick
up
and
start
using.
You
could
just
plug
them
into
your
apps
to
make
those
intelligent
applications
but
say
you're
cooking
with
a
little
twist.
Now
it's
gluten-free
vegan
pizza.
Well,
you
still
don't
need
to
stand.
You
still
don't
need
to
start
entirely
from
scratch.
It's
still
pizza.
You
can
just
adjust
what
already
exists
out
there,
and
so
what
we
suggest
for
you
here
is
try
cloud
auto
ml
sure.
AC
You
have
your
own
completely
unique
ingredients,
you're
doing
something
pretty
different
in
the
kitchen.
I,
don't
know,
maybe
now
you're
making
an
edible
sock
that
tastes
like
pizza,
well,
machine
learning
and
innovation
are
in
Google's,
core
DNA.
In
fact,
I
can't
think
of
a
single
one
of
our
consumer
products
that
doesn't
have
machine
learning
in
it
somewhere,
and
so,
if
you
are
innovating
in
the
kitchen,
if
you're
building
truly
new
recipes,
what
we
have
for
you
is
cloud
machine
learning
engine.
This
is
access
to
exactly
the
same
infrastructure
that
Google
uses
to
train
our
models.
AC
Incredible,
so
you
could,
if
you
wanted
to
after
the
session,
grab
a
laptop
open
it
up
and
test
drive
our
shiny
gleaming
kitchen,
with
all
those
appliances
ready
to
go.
You
could
feel
the
thrill
of
a
data
center
and
all
this
cutting-edge
algorithms
rising
up
to
do
your
bidding
so
solving
business
problems
with
machine
learning
applied.
AC
I
can't
help,
but
imagine
that
same
person
saying
I
couldn't
possibly
use
a
microwave
until
I've
built
one
myself,
you
can
just
get
cooking,
it's
not
the
lack
of
degree,
or
course
or
knowledge.
That's
holding
you
back
what's
much
much
more
important
than
that.
What
you
need
to
get
started
is
creativity
figure
out
what
you're
gonna
cook,
because
all
those
tools
are
already
there
waiting
for
you
to
use
them.
Imagine
gleaming
kitchens
just
waiting
for
you
to
come
play
in
them,
but
since
this
is
a
thing
labeler,
you
need
to
start
by
thinking.
AC
What
on
earth
do
you
want
labelled
and
see
how
creative
you
can
get
with
that?
You
might
imagine
the
label
being
maybe
the
waveform.
That
sounds
like
a
voice
that
could
make
a
hairdressers
appointment
for
you
or
you
could
imagine
a
few
other
cases
like.
Maybe
you
are
a
loving
son
and
you're
aging
parents
sort
vegetables
by
hand,
and
you
want
to
save
them
the
trouble
of
having
to
do
that
on
their
farm.
AC
If
you
imagine
that
world
you
imagined
this
world
well,
these
are
all
real
examples
of
things
that
have
been
done
on
Google
cloud
platform.
The
first
is
a
real
family
of
cucumber
farmers.
The
second
is
a
Japanese
manufacturer
of
high
quality
baby
food
products,
cue
pipe,
and
the
third
is
HSBC,
who
uses
Google
cloud
to
run
a
better
business
and
catch
the
bad
guys
across
27
million
customers.
AC
Pretty
different
chefs
completely
different
applications.
Why
is
Google
cloud
platform?
The
right
choice
for
all
of
them
well,
think
about
what
you
might
want
in
a
kitchen:
you'd
want
good
engineering,
so
you
probably
want
to
think
about
getting
a
partner
who's
quality.
You
trust,
but
think
more
long-term
than
that.
If
you
believe
in
your
own
infinite
creativity,
if
you
believe
in
the
future,
you
would
be
crazy
to
let
yourself
get
locked
into
a
kitchen
where
the
purveyor
sets
it
up.
AC
Imagine
instead
the
dream
kitchen
that
becomes
what
you
need
it
to
be
instantly:
complete
universal
wiring,
open
interfaces,
the
best
of
everything
all
the
modern
appliances
always
available,
and
you
can
plug
them
in
with
no
fuss,
because
that
wiring
is
universal,
that
my
friends
is
the
power
of
open
source,
and
that
is
what
Google
and
Red
Hat
together
believe
in.
We
don't
want
to
see
your
creativity
squashed
by
what
seemed
like
a
good
idea
yesterday,
so
we
have
built
for
you
an
incredible
future-proof
machine
learning
kitchen
this
kitchen
can
expand
contract
as
you
need
it.
AC
You
can
plug
in
whatever
you
like
all
the
most
modern
appliances.
Are
there
and
compatible
as
you
need
them
fully
customizable,
because
none
of
us
can
tell
what
innovations
the
future
will
bring,
and
we
don't
want
you
to
have
to
bet
on
the
direction
of
progress
and
lock
yourselves
in.
We
want
you
to
be
free
to
be
as
creative
as
all
of
us
can
be
together.
AC
R
R
R
R
B
B
You
know
this
is
truly
as
a
democratic
process.
We
have
a
whole
set
of
judges
to
choose
all
our
Innovation
Award
winners
and
then
it's
all
of
you
here
who've
voted
this
week,
and
so
you
know
it
really
is
a
peer
recognition
of
just
a
phenomenal
project.
My
only
concern
here
is
I.
Think
UPS
delivered
this
to
us.
So,
okay,
please
join
us
on
stage
Nick.
Congratulations.
B
All
right:
well,
this
is
the
General
Sessions,
drawing
to
a
close
here
in
just
a
minute.
We
still
have
I
believe
about
a
hundred
breakouts
left
today
still
have
a
lot
going
on
in
terms
of
business
content,
and
importantly,
this
evening
we
have
the
Grammy
award-winning
band
Weezer
performing
at
the
summit
party
this
year.
We're
stepping
up
our
game
on
the
band.
I'd
say
most
of
you
hopefully
know
who
Weezer?
Is
it's
really
going
to
be
phenomenal?
B
It's
actually
their
25th
anniversary
as
a
band
and
our
21st
anniversary
as
a
company,
so
some
good
synergy
there,
so
I
hope
you'll
join
us
tonight
for
food
drinks,
music,
it's
at
the
San,
Francisco
armory
and
it
starts
at
7
p.m.
so
please
be
there.
You
will
need
your
conference
Passos
looking
at
it
went
off
to
be
up
here,
but
you
do
need
your
phone
conference
pastor
or
a
guest
pass
to
get
into
it.
So
don't
forget
to
bring
that
with
you.
B
There'll
be
buses
running
continuously
from
Moscone
West
from
the
Hilton
Union
Square
in
the
armory
starting
at
6:15.
So
we
really
hope
you
can
join
us.
It
should
be
a
really
really
fun
night
also
mark
their
calendars.
Next
year's
summit
will
be
back
in
Boston,
it'll,
be
May
7th
through
9th,
and
we
really
look
forward
to
seeing
it
there
again
next
year.
Thanks
so
much
enjoy
the
rest
of
the
conference.