►
From YouTube: Powering Connections that Matter with Kong's Service Control Platform [Keynote Part 1]
Description
We’re on the cusp of a hyper-connected world where more than a trillion devices will be connected in order to power the driverless cars and robotic pharmacists of our future.
Kong CEO Augusto Marietti is joined by GlaxoSmithKline Director of Software Engineering Odean Maye at Kong Summit to discuss how this future isn’t too far off.
Learn more about Kong: https://konghq.com/
#KongSummit19
A
According
to
the
World
Economic
Forum
in
2015,
the
tipping
point
where
10%
of
all
the
cars
in
us
will
be
driverless,
where
10%
of
all
the
clothes
will
be
connected
to
the
Internet,
where
there
will
be
the
first
robotic
pharmacists,
it's
not
that
far
away.
It's
2025,
it's
only
a
few
rounds
around
the
sound
ahead.
It's
appening
think
about
all
those
connections
that
over
a
trillion
of
sensor,
services
and
device
will
broker
to
each
others
with
human.
With
things
think
about
the
complexity
of
the
system.
A
A
Wow,
so
let's
imagine
it's
2030,
you
are
on
your
self-driving
cars
to
the
airport.
The
cars
is
doing
ready
to
pre-check
in
flight.
You
take
off
on
time.
Everything
is
great.
During
your
mid
flight,
coming
back
to
San
Francisco
from
Singapore,
your
child
at
home
gets
six.
Fever
is
rising
sharply,
mattress
and
clothes
detect.
The
fever
is
going
up
really
quickly
and
immediately
try
to
alert
you,
but
you
are
on
the
plane.
Mid-Flight
and
the
in-flight
Wi-Fi
doesn't
work
not
even
10
years.
From
now.
A
So
what's
happened,
this
March
system
of
your
house,
reroute
that
request
to
humanoid
nanny,
the
humanoid
nanny
print,
a
3d,
serializer
medicine
and
the
fever
goes
away
by
the
time
you
land.
If
you
finally
get
connected,
you
get
full
auditing
logs
of
all
it
happening.
While
you
were
away,
your
child
got
cure
the
right
things
happening,
even
if
you
couldn't
be
there
and
that's
the
future,
but
as
I
say
before,
it's
not
that
far
off.
A
A
B
Yeah
definitely
I
appreciate
your
asking
that
I
mean
if
you
think
about
you
know.
What
are
you
just
mentioned?
There
is
a
solution
to
healthcare.
Is
really
data
flowing
right.
That
is
it.
How
can
we
get
data
from
patients
to
flow
directly
to
people
who
are
preparing
the
solutions
and
back
to
the
doctors
so
that
we
can
have
personalized
solutions
and
non
generics?
And
truly
it's
a
data
flow
problem
and.
A
B
We
are
building
out
a
global
grid
right
now
across
the
globe,
we're
a
global
Pharma
and
we
have
different
endpoints
internally.
We're
transforming
how
we
flow
data
and
then
we're
connecting
that
back
into
the
ecosystem
of
healthcare
outside
of
our
company,
so
that
this
data
can
be
readily
available
and
we're
using
kong
to
secure
those
nodes
and
protect
those
global
intersections
across
our
network.
And
that's.
B
Very
regulated
tons
of
rules.
In
order
to
do
this,
we
have
to
have
security
and
compliance
at
the
forefront
of
what
we're
doing,
and
we
use
kong
and
automation
to
ensure
that,
while
we're
doing
this,
and
while
we
have
people's
private
data,
this
data
is
secured.
Only
people
that
need
to
have
access
to
it
have
access
to
it
and
all
the
right
systems
can
can
and
provide
the
solutions
they
need.
B
Yeah
definitely
there
was
a
problem
that
we
faced
in
our
global
company,
where
we
simply
wanted
to
identify
the
folks
in
this
regulated
space
who
had
specific
expertise,
say
in
privacy
law
right.
How
do
we
find
the
person
that
has
the
right
expertise
in
privacy
law
for
this
right
case,
and
that
was
very
difficult
to
do.
B
We
have
a
search
engine
that
we've
exposed
using
an
API
and
secured
by
Kong,
and
this
search
engine
processes
in
index
is
200
terabytes
of
data
daily,
and
we
were
able
to
take
the
data
that's
processed,
including
most
interestingly,
the
conversations
happening
within
the
company.
So
you
think,
if
you're
talking
about
privacy
law
on
our
collaboration
sites
and
networks,
if
every
time
this
question
comes
up,
you
have
the
insights
and
you
belong
to
the
privacy
law
department,
then
most
likely
you're
the
most
relevant
expert
that
can
help
us
with
this
problem
right
now.
B
A
A
A
A
A
Then
we
got
the
big
data,
the
data
war,
rousing
the
data
lakes,
and
we
wanted
to
become
smarter
by
using
this
massive
amount
of
data,
and
then
there
was
this
data
in
motion
state
and
the
reality
is
has
never
been
that
important,
because
there
wasn't
much
to
move
for
a
long
time,
but
this
is
where
the
21st
century
challenges
are
going
to
be.
How
do
we
move
data?
A
A
You
talk
with
your
voice,
Alexa
device
goals
and
retrieve
information.
It
comes
backs
by
the
times
are
less
at
its
peak.
The
information
is
not
valuable
anymore.
This
real-time
information
moving
is
where
most
of
the
data
will
be
in
and
just
a
quick
data.
It
grew
40
times.
Data
proliferation,
just
in
the
last
10
years,
is
the
fastest
growing
segment
in
in
data,
and
this
is
number
one
number
two
we're
living
into
a
decentralized
Ward.
A
But
interesting
is
look
at
where
the
energy
consumption
of
the
world
is
going.
Twenty
percent
of
all
their
energy
is
getting
consumed
from
2020
from
decentralized
data
centers,
it's
a
massive
explosion,
and
really
this
is
also
so
many
different
protocols.
So
it's
also
decentralizes
in
the
way
we
proxy
information
is
not
just
one
protocol.
It's
not
just
HTTP.
A
A
A
A
Well,
what
happened
in
in
software?
It's
really
happening
in
nature,
how
we're
built
inside
as
humans.
We
have
a
nervous
system
right
and
we
have
the
central
nervous
system,
the
brain
and
the
spine,
and
then
we
have
the
peripheral
nervous
system
which
goes
all
over
to
the
body
on
a
request
response
lifecycle,
which
is
very
similar
to
an
API
lifecycle,
and
we
have
to
build
our
companies,
powered,
like
our
own
nervous
system,
to
become
smarter,
to
move
fast,
to
get
data
to
our
customer
to
our
partner
to
our
family.
The
right
place
right
time.
A
So
last
year
we
product
eyes
this
concept
and
we
introduced
the
service
control
platform
in
the
service
control
platform.
It's
one
unified
way
to
control
and
broker
all
information
going
back
from
legacy
system,
all
the
way
to
server
less
running
on
containers
or
not.
Is
that
nervous
system
product
eyes
this
year?
A
A
In
the
pre
productions,
where
it's
your
building
your
nervous
system,
of
course,
you
need
to
design
you
need
to
mock.
You
need
to
test,
you
need
to
manage,
you
need
to
publish
you
need
to
make
that
information,
smarter,
intelligent
and
also
secure
in
a
different
way
on
how
we
did
before
so
over
today
and
tomorrow,
we're
gonna
unveil
a
lot
of
exciting
products
to
help
you
designing,
run
and
automate
your
system
and
your
information,
starting
with
the
data
planes.