►
Description
Join us for Kubernetes Forums Seoul, Sydney, Bengaluru and Delhi - learn more at kubecon.io
Don't miss KubeCon + CloudNativeCon 2020 events in Amsterdam March 30 - April 2, Shanghai July 28-30 and Boston November 17-20! Learn more at kubecon.io. The conference features presentations from developers and end users of Kubernetes, Prometheus, Envoy, and all of the other CNCF-hosted projects
Application portability is a growing consideration among enterprises as the array of private, public, and hybrid cloud options continue to expand. Containers are gaining favor as the best approach to application portability, notably as a way to work around the issues of virtualization.
Ravi Alluboyina, Senior Architect at Robin.io, will focus on Application modernization, speak about why container-based portability is beneficial, and show a demo around portability across clouds for your Kubernetes based stateful workloads.
- Learn what it takes to run Stateful applications such as Hadoop or Oracle RAC on Kubernetes
- Understand how to backup your Kubernetes-based databases to the Cloud
- See a demo of how to move an application such as Cassandra, MongoDB, MariaDB, or CouchDB from one cloud to the other
A
All
right
we're
gonna
go
ahead
and
get
started.
I
hope
everyone
can
hear
me
I
like
to
thank
everyone.
Who's
joining
us
today.
Welcome
to
today's
CN
CF
webinar
on
application,
modernization
on
portability
across
clouds,
I'm,
Karin,
cheese,
CNCs,
ambassador
and
community
program
manager
at
Microsoft
and
I'll
be
moderating.
A
Today's
webinar
we
like
to
welcome
our
presenter
today:
Ravi
alumina,
a
senior
architect
Robin
IO,
and
before
we
start
just
a
few
housekeeping
items
during
the
webinar
you're
not
going
to
be
able
to
talk
as
an
attendee,
so
there's
a
Q&A
box
at
the
bottom
of
your
screen.
If
you
have
any
questions,
please
feel
free
to
drop
them
in
and
we'll
get
to
as
many
of
them
as
we
can
at
the
end,
so
I
will
hand
it
over
to.
B
B
Typically,
in
the
distributed
in
nature,
it
is
to
be
rotated
raises,
and
the
big
bucket
here
is
the
big
data
applications,
the
world
Casca's
elasticsearch
annex
tax.
So
this
viewpoint
is
from
the
app
how
our
application
is
classified,
they'll
be
microservices
or
there
could
be
monolithic
applications,
databases,
nothing.
This
is
an
application
classification,
but
when
we
look
at
it
from
the
infrastructure
point
of
view,
as
if
you're
building
an
infrastructure
component,
you.
B
So
once
you
have
established
your
applications,
let's
try
and
see
what
are
the
challenges
in
addressing
the
stateful
applications
of
what
is
modernization,
and
why
is
that
a
pretty
good
metaphor
for
bringing
these
application
logic
abilities
at
the
end
of
the
talk?
Hopefully,
we
will
walk
away
with
with
what
why
and
how
of
modernization.
B
B
B
Let's
go
to
what
and
then
they
could
be
several
definitions
of
a
modern
application,
but
he
used
my
definition.
My
definition
is
application
that
can
adapt
to
any
environment
and
perform
equally
well.
When
I
said
any
environment,
it
could
be
bare
metal,
virtual
machines,
which
man
did
the
these
modern
applications
have
different
formats
of
distribution,
could
be
your
RPM
packages,
Indian.
A
B
Pay
another
key
ingredient
of
a
modern
application
is,
it
should
be
able
to
plug
into
the
infrastructure
components
like
security
performance
monitoring,
logging,
backup,
etc.
When
we
drop
in
this
application
in
on
the
infrastructure,
all
the
pluggable
infrastructure
components
should
work
seamlessly
with
SAP.
That
is
one
of
the
major
requirements
and
the
other
two
are
really.
B
On
the
application
design
themselves,
they
has
to,
they
have
to
be
elastic
and
it
Island
portable.
The
last
point
is
really
important:
if
you
really
really
have
to
liberate
these
applications
from
the
underlying
infrastructure
in
compute
storage
network,
and
maybe
the
authentication
and
authorization
libraries,
so
that's
what
the
application
should
run
anywhere.
B
A
B
But
let
me
move
towards
commodities
or
containerization.
That
was
a
huge
time,
and
why
is
that
a
steep
time?
The
reason
is:
what
should
the
container
violation
on
the
commodities
is
video
community
of
women,
especially
in
darker
and
qualities
for
a
prominent
players
in
an
alien?
They
are
very,
very
open
in
entertainment,
applications
have
to
be
redesigned
to
fit
into
these
ecosystems
and
that.
A
B
A
big
task
from
the
application
developers-
and
that
is
the
reason
why
we
have
to
modernize
their
applications
and
if
you
come
to
the
how
part
of
organization
there
are
multiple
stages,
if
you
take
a
traditional
application,
the
first
thing
that
you
have
to
do
is
containerize
that
application.
There
are
several
tools
out
there,
starting
from
docker
rocket,
pod
man
and
filter
from
from
Red
Hat.
These
are
the
tools
that
allow
you
to
containerize
any
applications
once
you
containerize.
B
B
Means
teaching
multiple
docker
containers
to
give
a
service
or
an
application
out
and
the
most
prominent
tools
in
this
area
are
shark
internet
and
the
current
trend
in
operators.
So
all
of
these
doings
will
help
you
over.
It
is
application,
but
the
biggest
challenge
amongst
all
of
the
leading
is
productizing.
The
third
application.
You
have
a
docker
image,
you
have
a
Hollen
chart,
but
when
we
run
this
hand
chart
on
a
kubernetes
platform
is
that
production
running.
B
B
B
Namespace
or
in
their
own
bubble,
so
that
is
process
operations
and
the
second
stage
is
configuration
separation,
because
the
root
efforts
of
the
docker
container
is
is
not
portable
across
machines.
You
have
to
separate
the
configuration
and
data
and
put
them
in
a
volume
that
can
be
ported
across
across
hosts,
so
there
is
pontification
separation,
there
is
data
separation
and
there
is
an
entry
point,
especially
with
docker.
The
entry
point
is
a
single
window
system
into
point
does
not
recognize
whether
it's
just
first
start
or
the
second
start.
A
B
An
entry
point
if
this
is
the
first
starter
on
the
setup
if
this
is
a
subsequent
start
to
start
the
service,
if
this
is
an
upgrade
from
the
additional
logic.
So
all
of
this
has
to
be
encoded
in
the
entry
point
that
becomes
tricky
menu,
containerized
in
applications
and
I
say:
if
we
do
all
of
these
steps,
is
it
really
decreased
or
is
it
really
containerized?
B
Unfortunately?
No
not
yet
there
are
some
issues
with
with
docker
containers
today.
This
is
partly
because
of
incomplete
single
virtualization
it
for
able
to
give
you
some
examples.
Some
of
the
applications
will
need
continuous,
a
few
IDs.
They
may
be
doing
same
meaning
and
in
some
cases
the
CP
condiment
every
town
has
to
be
good.
B
It
is
not
just
proxy
pew
info
virtualization
of
problem
info.
It
is
more
than
that
some
applications
deriving
from
Sisyphus
some
applications
arriving
from
a
system
call.
So
all
of
these
entry
points,
which
is
proxy
surface
and
system
gods,
have
to
be
virtualized
for
the
application
due
to
use
the
right
set
of
resources
when
it
comes
to
storage,
some
of
these
applications
will
need
block
access,
which
is
Oracle
to
be
specific
and
Napa,
and
current
kubernetes
doesn't
allow
you
to
do
that.
B
B
A
B
B
B
A
B
Many
components
that
make
up
your
fully
functioning
my
single
application.
There
is
PVC,
there
is
part,
of
course,
but
there
is
deployment.
There
is
reticence
to
manage
the
application
sentence.
There
is
a
service
which
is
required
to
expose
this
to
the
outside
world
or
the
consumer
of
this
application.
Ladies
Quantic
map
and
secret,
which
will
store
the
configuration
and
the
passwords
or
any.
B
Into
the
operating
system,
so
if
my
tickler
is
this
complex
or
has
so
many
components,
let's
see
the
other
applications.
Look
at
Marea
to
be
a
little
boss.
Mom
would
elasticsearch
aleck.
The
complexity
only
grows
when
you
move
from
from
the
one
end
of
the
spectrum
to
the
other
end
of
the
spectrum.
There
are
several
components
to
management.
It
is
that
bad
know
we
have
had
and
operators
they
are
trying
to
solve
this
problem.
It
is.
B
B
So
you
have
something
like
application
as
cold
format.
Now
all
of
these
elements
are
codified,
but
what
is
the
problem?
I
have
a
docker
container
I
have
a
whole
chart
that
is
published
by
maybe
moderating
your
model,
so
that
should
be
the
end
of
the
world
right.
So
I
have
everything,
but
unfortunately
not.
There
is
a
third
example
here.
It
says
product
ization.
What
does
this
mean,
give
me
a
hand,
shot
and
kubernetes
deployment?
It
could
be
mon,
pram
or
openshift
or
a
cloud
deployment.
B
B
B
Let's
go
back
to
our
my
simple
application,
so
we
have
this
nice
layout
of
the
application
and
we
started
running
it.
Helm,
install
I
think
he
was
running
my
ethical
application,
but
after
running
it
for
a
few
days,
maybe
you
started
noticing
some
performance
issues
and
the
first
place
to
start
debugging
miss
you
are
troubleshooting
ratio
is
from
the
application.
Then
we
go
to
my
security.
Documentation
will
see
that
bicycle
is
running
in
only
be
storage
engine
and
the
roughly
claims
that
he
need.
There
are
two
I/o
patterns
here.
B
There
is
an
append-only
workload
and
is
a
batch
right.
Traditionally.
All
of
these
databases
as
a
combined
databases,
they
have
a
transaction
log
which
is
an
append-only
thing.
Every
transaction
has
to
be
little
to
the
disk
and
then
there
is
a
batch
process
that
comes
in
accumulate
all
the
transactions
and
write
it
to
the
database.
B
So
the
idea
behind
that
is
you
separate
the
the
spindles
for
both
is
what
routes
to
gain
performance.
Now,
let's
fix
it.
Let's
follow
the
recommendation
so
which
means
we
are
going
to
add
a
new
volume,
so
we
can
dedicate
one
volume
for
the
radio
version
to
on
and
the
other
volume
for
the
data
blocks.
B
B
B
Storage
stacks
to
get
a
volume
now,
let's
see
how
it
is
working
out
here.
So
what
we
notice
here
is
that
there'll
be
the
volume
on
the
data
volume
are
coming
from
the
same
spindle,
and
this
is
this
is
the
problem,
let's
fix
it,
so
naturally
the
solution
is
we
separate
it
volumes
out
on
two
different
schedules.
B
A
B
B
So
if
two
applications
at
that
complex
you
need
you
have
to
understand
what
the
application
needs.
You
have
to
understand
how
the
bits
are
laid
out
inside
the
story,
stack,
think
about
multiple
applications
coming
in
and
these
applications
are
of
different
nature.
You
know
I,
think
well,
you
have
Cassandra
here
poop
on
the
same
cluster
and
to
manage
all
those
PVCs
and
TVs.
It
is
a
nightmare.
B
B
Means
three
copies
configurable,
but
it
makes
three
copies
and
in
in
kubernetes
world
Cassandra
interfaces
with
three
PVCs
or
three
volumes,
and
what,
if
this
happens?
If
what,
if
all
the
three
wallets
are
coming
from
the
same
disk
or
the
same
host
on
the
same
rack,
so
this
is
a
single
point.
Failure
is
that
disk
water
field,
even
though
cassandra
is
making
three
copies,
it's
excuses.
So
anyway,
what
the
Software
Defined
stack
or
the
CSI
part
of
command
has
done
is
that
it
has
negated.
B
The
natural
way
to
fix
it,
of
course,
is
to
separate
these
volumes,
alternative,
spindles
on
different
notes
and
different
relax.
So
I
kept
saying:
let's
fix
it,
let's
fix
it
once
what
does
that
really
mean?
You
cannot
just
go
and
manually
separate
these
blocks
out
for
every
application,
so
we'll
come
to
the
answer
at
the
end.
But
let's
talk
about
hope.
B
So
we
talked
about
my
sister
who
talked
about
this
and
let's
talk
about
Hadoop,
which
has
many
many
components.
There
are
data
volumes,
zoo
keepers,
there
is
hoodoo,
there
is
cloud
or
a
manager.
There
are
name
roles
which
is
family
at
secondary.
There
are
several
components,
and
every
component
has
a
different
ask
from
the
storage
stack,
and
this
is
the
most
complex
application
that
you
have
cement
when
orchestrating
on
commodities.
B
There
are
different
sets
of
challenges
and,
if
I
were
to
design
a
stone,
it's
tagged
for
kubernetes.
It
needs
to
have
all
of
these
components
to
is
really
host
at
a
heavy
application.
It
needs
to
understand
the
I/o
patterns.
It
needs
to
understand
the
assumptions
built
into
the
applications
like
the
saundra
and
data
nodes.
Three.
B
B
B
So
recap:
data
heavy
applications
use
multiple
volumes,
they
have
different
IR
characteristics.
Consolidation
makes
the
problem
much
harder
and
application.
The
application
makes
the
application
tricky.
So
what
are
we
looking
for?
The
answer
to
the
application
of
s2
is
provisioning,
which
means
the
storage
layer
has
to
be
aware
of
what
the
application
means.
What
does
it
mean?
In
Cassandra?
We
talked
about
three
volumes.
B
A
B
B
A
B
Are
insufficient
in
protecting
applications,
especially
when
you're
talking
about
queries
and
why?
Let's,
let's
see
the
volume
snapshots
law
as
if
you
have
created
a
multiple
application
and
if
taken
the
first
and
shot
slide
under
create
in
the
application,
we
have
taken
a
snapshot
and
we
add
some
tables
ingest
some
data
and
we
take
the
second
snapshot.
So
this
is
after
data
changes.
B
B
B
Let's
pin,
so
we
have
three
blocks
that
we're
interested
in
volume.
Contig
map
cleansing
it.
The
problem
is
fairly
obvious
here
in
traditional
systems,
the
bale
metals
of
the
VIII
ends.
This
is
for
contouring
test
and
there
are
tools
built
to
address
this
problem
of
contract
drift.
The
concentration
of
the
application
changes
or
the
password
associated
with
the
application
is
changing,
and
the
consumer
of
this
application
cannot
connect
to
this
application
anymore
after
you
rolled
that.
So.
B
B
Sorry
cap
data
production
is
not
just
capturing
the
volume
snapshots;
it
is
more
than
that,
especially
in
commodities,
and
normal
applications
provide
checkpoints.
The
snapshots
mom
would
you
be,
for
example,
relies
on
files
and
snapshots
and
volume
early
in
snapshots
and
there,
as
Naturals
are
prone
to
conflict
issues
that
we
have
seen,
and
it
is
a
very
important
concept
called
consistently
group.
When
you
have
to
snapshot
multiple
volumes.
B
B
B
So
any
other
challenges,
so
we
have
read,
read
snapshots
as
a
data
protection
strategy,
but
that
is
not
the
end
of
physical
snapshots
will
not
protect
from
hardware
failures,
but
this
were
to
fail
in
snapshots
are
useless
so
for
that
we
have
to
take
a
snapshot
of
and
move
to
a
different
medium
and
that
is
traditionally
called
as
backups,
and
they
wrote
derivatives
out
of
their
backup,
so
bathtubs
allows
is
one
way
to
meet
Applications
folder
and
before
we
talk
about
how
the
mattes
are
done.
Let's
talk
about
the
use
cases
of
the
portability.
B
A
A
B
B
B
B
Have
to
optimize
our
cost
if
I
pack
up
a
full
terabyte
database
I,
don't
want
to
rehydrate
the
full
terabyte
from
the
object
storage
into
the
block
storage.
That
is
the
cost.
There
is
also
time
it
takes
time
to
rehydrate
and
four
terabytes
form
objects
on
the
internet,
long
storage.
Instead,
the
better
way
to
rehydrate
is
on-demand.
B
B
B
B
And
running
in
the
cloud
so
think,
VMware
or
PMB
give
us
what
email
is
allowed
us
or
what
rally
has
allowed
us
to
do
in
parallel,
VMDK
file,
which
is
portable,
which
can
be
snapshotted.
It
really
liberated
the
application
from
the
infrastructure.
Elemental
experience
to
the
application
vehicles
are
automatically
I.
Have
this
application
blob
I
can
take
it
anywhere
and
I
can
start
it
anywhere.
So
that
is
the
experience
that
we'll
be
looking
for.
We
have
to
elevate
deployment
protection,
backup,
ruining
everything
at
an
application
level.
A
B
An
application
aware,
storage
stack,
it's
a
distributed;
volume
stack
with
all
the
enterprise,
great
features
built
up,
snapshots,
clones
queue
and
applications.
Backups
we
run
on
top
of
inequalities
framework,
could
be
your
open
ship
wiki
or
on
the
open
source
communities.
We
also
have
flexible
networking
options,
boy.
A
B
A
A
B
A
B
B
B
A
It
looks
like
there
aren't
that
many
questions
coming
in
I
guess
you
did
a
really
good
job,
answering
everything,
early
on
and
so
great
Thank
You
Robby
for
a
great
presentation,
and
that's
all
the
questions
we
have
time
for
thanks
for
joining
us
today.
The
webinar
recording
and
the
slides
will
be
online
later
today
and
we're
looking
forward
to
seeing
you
all
at
a
future
CNC
a
partner
have
a
good
day.
Thank
you.