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Description
Don’t miss out! Join us at our upcoming event: KubeCon + CloudNativeCon North America 2021 in Los Angeles, CA from October 12-15. Learn more at https://kubecon.io The conference features presentations from developers and end users of Kubernetes, Prometheus, Envoy, and all of the other CNCF-hosted projects.
Sponsored Session: HPE - Kubernetes and the HPE Ezmeral Container Platform
Speakers: Don Wake
Use your favorite CNCF certified open source Kubernetes tools on your own systems utilizing the HPE Ezmeral Container Platform plug-in to manage and monitor multiple Kubernetes clusters. In addition, see a walk-through of the WebUI that provides a point-and-click interface for importing compute and storage resources into your Kubernetes clusters and create multiple namespaces (tenants).
A
You
know
artificial
intelligence.
It's
a
team
sport.
You
have
data
scientists
that
are
building
models
and
training
models.
You
have
data
analysts
that
then
are
taking
those
those
models,
maybe
monitoring
them
or
you
know,
building
applications
using
that
data.
You
also
have
a
group
of
software
engineers
that
are
doing
the
continuous
integration
and
continuous
development,
and
they
need
access
to
tools
like
jenkins
and
github
or
bitbucket
that
type
of
thing.
A
And
then
you
also
have
the
operations
team,
which
maybe
could
be
called
a
systems
administrator,
or
you
know
somebody
that's
required
to
make
sure
the
systems
stay
online,
whether
those
systems
are,
you
know
in
a
given
data
center
or
online,
maybe
in
a
favorite
public
cloud.
So
when
you
have
all
of
these
people-
and
you
have
all
of
these
different
pieces
of
hardware
and
software
that
you
need
to
organize-
you
need
a
central
control.
Plane
and
kubernetes
is
great
at
organizing
the
containerized
software.
A
A
A
Let's
pretend
I'm
a
a
systems
engineer,
or
perhaps
a
systems
administrator
and
I'm
connected
to
my
kubernetes
platform
and
so
I'll
use
a
simple
command
called
the
coupe
control
command
or
coupe
ctl,
and
this
is
connected
over
the
network,
because
I've
downloaded
a
plug-in
and
I've
authenticated
myself
and
taken
care
of
all
of
the
security
things
so
that
I
can
you
know,
communicate
with
my
my
kubernetes
cluster,
wherever
it
is
so
just
get.
Pods
commands
one
of
the
simplest
commands
every
kubernetes
expert
wants
to
do.
A
You
know
at
the
atomic
level,
that's
how
kubernetes
handles
applications.
Containerized
applications
is
at
the
pod
level.
So
this
is
the
first
thing,
I'm
just
kind
of
looking
around
at
my
at
my
name
space
and
and
what
I
have
access
to
there's
another
command
here.
To
just
give
you
an
idea
and
highlight
multi-tenancy
when
you've
set
up
your
context.
A
This
is
the
particular
kubernetes
namespace
that
me
as,
let's
just
say,
I'm
the
ml
ops
system
administrator,
and
I
have
access
to
this,
and
I
can
do
things
to
help
data
scientists
utilize
this
cluster
to
do
their
job.
So
this
just
gives
you
an
idea.
You
know
if
you're
familiar
with
kubernetes.
These
are
the
kind
of
things
you
want
to
be
able
to
do
as
an
administrator,
and
perhaps
you
you
do
things
that
are
even
much
more
complicated
like
using
rest,
api
commands
and
writing
ansible
scripts.
A
But
let's
say
you
now
want
to
abstract
things
away
a
little
bit
and
put
on
your
system,
admin,
hat
and
log
into
our
web
ui.
So
this
is
another
way
to
interact
with
the
platform
logging
in
with
active
directory
credentials,
the
active
directory
credentials
that
were
set
up
by
my
organization
before
I
even
installed
a
container
platform,
for
example.
What
you
see
here
is
this
very
rich
set
of
tools
that
you
can
use
to
import
clusters,
create
new
clusters,
manage
clusters
and
then
also
create
the
name
spaces.
A
The
kubernetes,
you
know
tenants
is
what
we
like
to
call
them,
because
it's
really
multi-tenancy
environment.
I
have
a
lot
of
tenants
here
and
I
logged
in
I
had
I
happen
to
have
site
admin
privileges.
You
can
see
all
of
the
different
resources
and
you
know
you
can
quickly
see.
Oh,
I've
got
some
clusters
that
might
be
pushing
the
envelope
on
on
resource
utilization.
Maybe
I
need
to
go
in
and
add
some
more
servers,
but
what
we're
going
to
look
at
is
what
we
we
showed
on
that
command
line
is
the
ml
ops
tenant.
A
So
this
is
a
tenant
or
kubernetes
namespace
that
utilizes
the
esmeral
software
that
puts
together
a
whole
bunch
of
things
in
context
related
to
a
full
ml
pipeline.
So,
as
a
kubernetes
administrator,
I
may
want
to
come
in
here
and
just
make
sure
my
pod
utilization
is
looking
good.
Okay.
This
pod
is
using
this
much
of
the
cores
and
cpu
limits,
but
you
know
to
kind
of
to
bring
it
back
to
to
what
we
were
looking
at
there
on
the
command
line.
A
What's
the
association
with
the
pods
in
terms
of
my
my
machine
learning
or
my
training
engine
here,
I
just
have
access
to
endpoints.
So
as
a
as
a
data
scientist,
I
don't
have
to
worry
about
a
lot
of
the
details.
I
can
go
straight
to
my
notebook
and
in
fact
I
could.
I
could
send
this
link
to
a
data
scientist
and
say
hey
in
your
cluster.
You
asked
me
to
spin
up
your
jupiter
notebook,
and
here
I
connected
it
to
your
github.
A
So
that's
just
a
quick
tour
to
kind
of
show
you
some
things
you
could
do
using
the
the
container
platform
to
orchid
to
you
know
organize
the
kubernetes
orchestration,
there's
lots
of
more
things.
I'd
love
to
talk
about,
and
I
think,
if
you
found
this
interesting,
I'm
going
to
point
you
to
some
of
our
resources
online.
A
We
have
a
demo
portal
where
you
can
have
actually
get
access
to.
You
know
an
environment
that
you
can
play
with
and,
of
course
you
could
go
to
our
online
documentations
and
there's
there's
always
lots
more
to
learn.
There's
I
can
give
a
reference
here
to
give
you
an
example
of
how
easy
it
is
to
you
know,
get
your
kube
ctl
plug
in,
so
that
if
you
want
to
use
your
laptop
like,
I
was
doing
and
not
have
to
be
remoted
in
through
a
server
or
something
you
could
do
that.
A
So
that's!
That's
all
I
wanted
to
show
you
today
and
it's
kind
of
like
a
lightning
amount
of
information
and
lots
more
to
learn,
but
hopefully
I
waited
your
appetite
and
please
feel
free
to
contact
me
or
anyone
at
hpe
with
the
with
that
container
platform
at
hpe.com
and
we'll
get
you
some
more
information.
Thank
you
for.