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From YouTube: Sponsored Keynote: Sharpen Your Edge Three Ways With Kubernetes - Marilyn Basanta, VMware
Description
Sponsored Keynote: Sharpen Your Edge Three Ways With Kubernetes - Marilyn Basanta, VMware
Your business wants to make the most of edge computing, and certainly Kubernetes is the right platform for modern edge native applications; that much is easy. But how to get from technology to edge success is less clear. Join us as we review three key results that should guide your thinking and approach. We’ll break each of them down and uncover a pragmatic way to achieve your edge goals.
A
All
right,
hi
everyone,
thank
you
for
being
patient,
appreciate
everyone
being
here
today.
It
looked
like
a
great
turnout.
I
did
not
get
to
come
last
year
because
my
sister
decided
to
have
her
University
graduation.
At
the
same
time,
so
I
hope
my
team
did
a
great
job
representing
VMware
last
year,
but
my
name
is
Marilyn
basanta
I'm,
a
senior
director
of
product
management
for
vmware's,
Edge,
compute
products.
A
So
today,
I
realized
after
we
submitted
the
keynote
talking.
As
you
guys
heard,
we've
both
had
two
people
who
decided
that
sharpen
your
Edge
was
the
right
title
to
go
with
so
I
think
we
all
use
the
same
chat,
GPT,
prompt
and
so
so
I'd
like
to
talk
to
you
about
these
three
different
themes
that
we
see
come
up
with
our
Edge
at
Enterprise
deployments,
especially
over
the
last
years.
A
Things
for
us
have
accelerated
and
we've
made
a
lot
of
great
progress
at
VMware
with
our
Edge
portfolio
and
our
products,
especially
our
kubernetes,
offering
I,
would
say
that's
where
we've
made
the
most
Leaps
and
Bounds
in
how
we're
going
to
support
apps
at
the
edge
over
the
last
year.
We
had
the
most
recent
kubernetes
release,
so
we
just
had
end
of
January
had
a
lot
of
great
things
that
I
can
cover
that'll
help,
accelerate
deployments
and
applications
at
the
edge,
so
I'll
cover.
These
three
themes.
A
First
is
around
scaling
large
scaling
at
a
and
efficiently,
and-
and
this
is
definitely
a
very
difficult
problem
that
I
don't
think
any
of
us
have
yet
solved.
We
can
solve
different
aspects
of
it,
but
it's
really
how
you're
going
to
bring
all
of
it
together
and
scaling
your
edges
out.
So
the
first
thing
I
see
come
up
is
how
are
you
going
to
manage
this?
Everyone
wants
a
cloud-like
management
experience
for
their
Edge,
at
least
that's
what
I'm
hearing
from
our
customers.
How
do
we
make
this
easy
and
holistically?
A
Give
you
that
one
view
where
you
have
all
your
edges?
You
have
your
policies,
you
have
your
security,
you
have
your
application,
so
how
do
you
make
this
super
easy
to
manage
holistically?
So
this
is
something
we've
been
working
on
with
our
own
kubernetes
Management
console,
but
then
how
do
I
up
level
that
even
further,
not
just
for
kubernetes
but
for
everything
else,
adjacent
to
the
edge
for
all
the
different
other
applications
and
the
tooling
that
you
need.
Another
thing
that
is
very
important
for
us
to
be
able
to
scale
efficiently
is
working
on.
A
How
do
we
make
it
easy
for
it
to
be
scripted?
So
this
we're
working
on
more
of
a
git
Ops
approach
for
this,
and
we
have
some
interesting
projects
that
were
announced
last
fall
that
are
now
kind
of
converging
together
to
give
people
a
different.
Some
people
will
want
an
easy
UI.
Other
people
will
want
to
take
control
with
scripting,
and
how
do
we
make
take
that
approach
to
not
just
the
kubernetes
offering
but
everything
else
and
how
you
define
your
Edge
sites?
A
Another
piece
is
how
you
design
your
edges,
and
so
what
we've
seen
at
VMware
people
want
to
deploy
kubernetes
in
lots
of
different
ways.
We
just
recently
introduced
some
single
node
clusters,
but
we've
got
a
reference
architecture,
different
designs
of
how
some
people
will
need
to
scale
their
kubernetes
offering
differently
and
then
separately
in
which,
of
course,
is
very
important,
is
how
do
you
handle
these
costs?
A
So
a
lot
of
things
from
a
from
a
business
value
perspective
of
our
customers,
who've
been
successful,
is
how
do
we
make
this
easy
to
manage,
and
so
that
way
they
can
contain
the
cost
so
everything's
around
having
a
killer
use
case
or
having
that
application.
That
then
kind
of
leads
you
into
having
the
different
applications
at
the
edge
okay.
A
So
now
that
we've
covered
that's
how
important
it
is
to
scale
your
Edge,
it's,
how
do
we
then
make
this
quick
quick
to
deploy,
because
that's
the
other
thing
that
we
see
with
our
Enterprise
customers
who
have
customers
coming
in
who
know
they
want
to
roll
out
a
new
computer
vision,
application
at
the
edge
and
do
inferencing
and
have
real-time
decision
making,
but
they're
telling
us
hey.
This
is
going
to
take
years
for
us
to
roll
out
to
all
these
different
stores
or
into
these
manufacturing
plants.
A
So
how
do
we
get
our
customers
taking
advantage
of
the
latest
and
greatest
technologies
that
we
all
have
in
the
open
source
Community
or
in
our
here
in
our
Enterprise
offerings,
to
take
advantage
of
the
new
things
at
the
edge
and
so
we're
working?
A
lot
in
orchestration
goes
back
to
what
I
was
talking
about.
This
get
Ops
approach,
we're
trying
to
make
it
super
simple:
to
get
the
infrastructure
up
and
running
and
in
a
variety
of
ways,
because
not
everyone
will
want
it
from
the
cloud.
A
A
A
Excuse
me,
but
it's
very
important
that
we
take
into
account
the
tooling
like
I,
said
and
making
these
applications
easy
to
use
things
like
enabling
real-time
functionality
in
the
operating
system
to
taking
advantage
of
messaging
and
streaming
cues
to
help
build
your
applications
to
do
close,
close
loop
automation
to
speak
to
each
other.
But
another
thing:
that's
important
that
I've
seen
come
up
recently.
That
I
think
is
nice
to
point
out
is
security.
A
How
do
we
help
enable
the
hardware
that,
if
someone's
going
to
walk
away
from
it
in
a
grocery
store
or
at
a
you
know,
coffee
shop,
that
you
have
the
hardware
secure
and,
of
course,
most
importantly,
to
accelerate
deployments?
Is
life
cycle
management?
So
a
lot
of
work
has
also
gone
into
how
we're
thinking
of
the
lifecycle
management
experience
for
kubernetes,
okay
and
then
now
that
you've
scaled
your
platform,
we
figured
out
reasons
important
things
for
scale
in
your
platform.
How
do
you
accelerate
the
deployment
and
then
so?
A
What's
really
driving
the
acceleration
of
the
deployment?
So
to
me,
this
is
the
most
fun
part
to
talk
about,
so
what
we're
really
doing,
and
the
reason
why
workloads
are
going
back
to
the
edge
and
why
kubernetes
is
so
important
to
the
edge
is
because
of
the
new
workloads
that
are
coming
up
at
the
edge
and
so
what
we're
seeing
this
is,
of
course,
in
retail,
manufacturing
oil
and
gas
power
utility.
The
fact
that
everyone's
on
a
modernization
journey
in
their
applications,
and
so
how
do
we
enable
these
new
applications?
A
In
many
cases,
I
already
touched
upon
this,
a
little
bit
is
their
real-time
application.
So
if
you're
a
power
substation,
how
do
we
work
with
the
ecosystem,
isv
Partners,
to
enable
their
application
to
be
containerized
and
handle
the
critical
optimization
of
power
utility
in
the
cases
of
manufacturing
we're
working
a
lot
in
manufacturing?
A
In
fact,
this
week
the
half
of
my
team
is
here
and
half
of
my
team
is
actually
at
the
Hanover
message
conference,
which
is
one
of
the
biggest
manufacturing
shows
where
we're
showing
real-time
kubernetes
applications
there
and
Retail
retail
is
all
about
the
immersive
in-store
consumer
experience.
Everyone's
wants
their
experience
now.
So
how
do
we
help
enable
these
new,
these
new
Edge
workloads?
A
So
this
is
all
about
Edge
native
applications,
which
I
know
the
cnci
have
to
have
released
a
draft
on
that
kind
of
cover,
the
criteria
of
how
we
see
Edge
native
applications
and
what
makes
them
different
everything,
I
kind
of
talked
about
is
very
use
case
based
very
line
of
business
driven.
So
these
are
the
real
reasons
on
why
you
know
we're
trying
to
meet
that
use
case.
A
We're
trying
to
say
that
this
one
use
case
kind
of
plays
for
the
pays
for
the
platform
and
then
you're
unable
to
do
lots
of
other
things
on
the
platform
and
so
to
run
critical
applications.
We
normally
see
is
one.
We
start
off.
A
customer
might
start
off
with
one
use
case.
Let's
say
this
is
a
retail
store
with
video
surveillance.
So,
if
you're
taking
that
surveillance,
you
have
to
store
it
for
30
days,
you
have
to
store
it
somewhere.
A
You
have
to
secure
the
platform
and
then
that
that
video
feed
could
be
inferenced
to
serve
different
applications.
You
could
send
it
to
another
device,
you
can
send
it,
you
could
inference
it
there
or
you
can
need
to
store
and
forward
what
you
need.
So
that's
now,
one
use
case
has
multiple
different,
serving
points,
storing,
storing
points
and
capturing
the
video.
So
then,
as
you
multiply
different
devices
and
different
use
cases
in
a
retail
store,
you
then
have
more
data
sources,
and
how
do
you
help
these
applications
actually
communicate
with
each
other?
A
Then
that
leads
to
what
I
think
is
the
real
value
of
the
edge.
The
fact
that
you
can
take
all
of
the
data
sources
at
the
edge
bring
them
together
on
a
common
platform
that
we
have
with
our
kubernetes
offering.
But,
more
importantly,
how
do
you
help
these
applications
communicate
with
each
other?
And
that
could
be
something
like
Robin
mq,
because
you
need
to
capture
for
multiple
sources,
we're
going
to
store
process
bandwidth,
reduce
transform
and
then
forward.
A
We
need
to
process
and
serve
it
across
the
different
Edge
sites
for
different
applications,
and
then
it
has
to
be
secure.
So
the
fact
that
we
can
help
bring
together
a
complete
platform
from
automating
scaling
and
then
helping
build
these
applications
and
have
a
common
communication
method
to
make
it
easy
to
create
these
applications.
I
think
are
the
three
tools
that
you
can
use
to
help
enable
your
Edge
and
help
your
customers.
So
thank
you.