►
From YouTube: Predictions in the Cloud Native Ecosystem
Description
Brendan is a board member of the CNCF and a Senior Developer Evangelist for GitLab who connects with developers, contributes to open source projects, and shares his work with about cutting-edge technologies on conference panels, meetups, in contributed articles and on blogs.
A
Awesome
so
yeah,
let's
move
to
the
next
pica
and
vanessa,
is
the
other
person
that
brandon
brandon
o'leary.
I
don't
know
if
I
pronounced
it
correctly.
So
brendan
is
he's
a
developer
evangelist
at
gitlab
and
he
will
be
talking
on
the
topic.
Predictions
in
the
cloud
native
ecosystem,
yeah
brother,
take.
B
B
B
Great
awesome:
okay,
hopefully
you're,
seeing
my
slides
now
all
right.
Well,
thanks
again
so
much
for
having
me,
I'm
really
really
excited
to
be
here.
I'm
I'm
excited
to
to
get
to
talk
to
you
all
today.
I'm
excited
that
our
kubernetes
community
day
community
days
program
is
coming
back
to
life.
After
you
know,
quite
the
hiatus
given
given
everything
we've
been
going
through
as
a
world
in
in
this
pandemic.
B
I'm
excited
that
the
first
community
back
is
in
africa.
I,
like
the
previous
speaker.
I
wish
I
could
be
there
with
you.
I'd
love
to
come
visit.
I've
only
ever
been
to
africa
once
me
and
my
team
got
to
go
to
cape
town
so
kind
of
all
the
way
in
the
south.
I
flew
over
the
whole
continent
from
from
london
on
the
way,
but
I'd
love
to
to
visit
more.
B
I
think
everybody's
kind
of
feeling
that,
like
I,
used
to
travel
a
good
amount
for
work
and
I
think
like
as
the
pandemic-
hopefully
you
know
ends,
and
hopefully
we
we
get
it
under
control.
I
feel,
like
everyone's
got,
the
travel
bug
to
try
and
and
and
go
and
see,
parts
of
the
world
that
you
know
we
we
took
travel
for
granted,
maybe
in
lots
of
ways
before
so
excited.
For
that
again
my
name
is:
is
brennan
o'leary,
I'm
I'm
really
excited
to
be
here.
B
I
work
at
get
lab
actually
with
abu
bakar
who's,
one
of
the
organizers
of
the
event,
and
he
asked
me
to
come,
speak
to
you
today
about
predictions
in
the
cloud
native
ecosystem.
So
that's
probably
the
hardest
thing
to
come
and
speak
about,
but
I'm
I'm
honored
that
he
thought
you
know.
I
would
have
something
to
add
to
that
conversation,
and
hopefully
hopefully
I
do.
B
I've
been
a
member
for
probably
just
about
a
year
at
this
point,
and
so
I'm
really
interested
in
questions
you
might
have
for
me
and
about
either.
You
know
git
lab,
of
course,
or
the
cncf
itself
questions
and
thoughts.
You
might
have
thoughts
about
today's
event.
All
all
of
those
things
are
wide
open
to
talk
about,
but
first
today
I
kind
of
want
to
go
through
kind
of
my
thoughts
and
and
kind
of
a
level
set
of
how
I
think
we
got
to
where
we
are.
B
Of
course,
some
of
this
might
not
be
news
for
for
folks
joining
this
event.
Who
have
you
know
been
following
the
cloud
native
community
or
or
following
you
know,
kubernetes
for
a
long
time,
but
I
want
to
give
some
context
because
I
think
that
before
you
can
try
and
predict
the
future,
which
of
course
no
one
can
you
have
to
have
the
context
of
of
how
we
got
to
where
we
are.
B
B
Well,
you
know,
by
way
of
a
kind
of
a
brief
intro,
you
know
really.
The
landscape
of
software
development
is
changing
and
it's
in
some
ways
always
changing,
but
I
think
that
the
advent
of
the
cloud
and
the
growing
popularity
of
it,
the
advent
of
cloud
native
technologies
have
accelerated
it
and
I
think
that's
that
in
itself
isn't
something
that's
very
new
again.
It's
always
changing
if
we
look
at
like
kind
of
what
modernization
and
software
has
looked
like,
we've
seen
these
kind
of
trends
that
come
and
accelerate
growth
in
software.
B
So
you
know
10
or
12
years
ago.
At
this
point,
there's
a
famous
venture,
capitalist
who
said
marc
andreessen.
He
said
that
software
is
eating
the
world,
and
I
think
that
that
was
very
true
then
and
is
true.
Now
I
think
software
has
eaten
the
world
right.
We've
seen
that
software
is
the
way
that
companies
now
differentiate
themselves
from
one
another.
It's
every
company
is
a
software
company,
whether
they
make
software
you
know
as
their
primary
product
or
they
sell
something
else.
B
You
know
every
company
needs
software
and
and
and
to
be
able
to
move
quickly
and
adapt
to
change
with
their
software
in
order
to
be
competitive
in
whatever
environment
they're
competing
in,
and
so
you
know
we
had
waterfall
and
agile.
Those
are
methodologies
for
for
building
software
that
came
along
years
ago.
B
Devops
now
is
a
10
year
old
term,
and
you
know
was
the
idea
that
we
want
to
marry
development
and
operations
in
a
way
that
we
can
get
software
out
the
door
faster
to
our
customers
and
then
really
we
have
this.
You
know
more
recently
the
this
concept
of
cloud
native,
the
reason
we're
all
together
here
right.
This
is,
I
want
dynamic
environments.
I
want
to
be
able
to
scale
up
and
down
with
demand.
B
B
You
know
images
of
company
logos,
but
I
think
it
tells
a
really
interesting
story:
the
different
kinds
of
enterprises
and
companies
that
you
find
there
who
are
leveraging
kubernetes
for
its
value,
but
really
to
solve
very
different
problems.
Right.
You
have
banks
right,
there's
large
banks
like
capital,
one
ing.
You
know
these.
These
banks
are
typically
banks.
We
typically
think
of
banks
as
kind
of
late
adopters
to
software
or
industry
trends
right.
B
They
move
slowly,
they're
very
particular,
but
even
in
banking
right,
it's
been
disrupted
in
many
ways
by
software,
and
so
we
see
those
those
folks
needing
to
innovate
still
within
their
bounds
that
they
have
right,
or
we
see
you
know
traditional
journalism
like
new
york
times
right.
That
obviously
is
a
world.
That's
hugely
changed!
B
Since
the
advent
of
the
internet,
and
in
order
to
kind
of
preserve
their
their
business
and
their
ability
to
produce
content
and
journalism,
they
have
to
be
able
to
move
faster,
and
then
you
even
see
ibm
right,
like
the
oldest
company
when
it
comes
to
computers
and
and
software
or
any
of
any
kind
right,
also
embracing
cloud
native
right.
They
they
really
embrace
it
as
they
as
they
purchased
red
hat.
B
Who
has
a
lot
of
products
based
around
kubernetes
and
other
cloud
native
technologies,
but
they
use
kubernetes
themselves
to
you
know
enable
that
fast
to
market
software,
and
so
those
are
kind
of
the
you
know.
Large
enterprises
that
see
this
as
a
as
a
competitive
advantage,
but
then,
on
the
other
side,
is
startups
right.
That
also
see
this
as
a
huge
competitive
advantage
to
be
able
to
reach
scale
without
investing
the
kind
of
money
and
resources
that
those
larger
enterprises
would
be
able
to
so
kind
of
the
other
side
of
that
coin.
B
Is
you
know,
cloud
native
enables
those
companies
to
be
able
to
be
competitive
and
and
scale
in
a
way.
That's
that's.
You
know
new
in
a
lot
of
ways
right.
The
internet
did
this
for
sure,
but
cloud
native
adds
another
layer
on
top
of
it,
where
you
don't
need
a
massive
capital
outlay.
A
massive
investment
of
money
in
order
to
you
know,
build
a
business
that
can
scale
to
the
globe.
B
B
We
just
heard
about
data
and
and
and
data
in
cloud
native,
where
we
have
these
universities
and
large
academic
or
non-profit
organizations
that
are
leveraging
cloud
native
to
do
exactly
that,
to
to
level
up
what
they're
doing
with
data
again
to
build
a
scale
that
they
wouldn't
otherwise
be
able
to.
Just
from
a
you
know,
cost
prohibitive
perspective.
B
They
can
do
things
that
they
were
weren't
able
to
even
dream
of
before
the
cloud
and
cloud
native
technology,
and
so
those
stories
really
show
us
that
you
know
cloud
native
touches
all
of
these
different
areas,
and
so
because
of
that
I
mean
that's,
I
guess
again
a
lot
of
preaching
to
the
choir.
If
you
will,
you
know
you're,
maybe
bought
into
that.
That's
why
you're
here.
B
B
B
I
don't
even
know
how
you
count
that,
but
but
folks
make
an
attempt
to
count
that
in
a
market
of
700
billion
going
to
a
trillion
dollars
in
the
next
six
years
for
these
kinds
of
devices,
so
the
volume
of
data
and
information
well
data
created
by
let's,
let's,
let's
separate
data
and
information,
so
data,
just
raw
data
created
by
these
devices.
You
know
staggering
amount
of
data
and
so
to
turn
that
data
into
useful
information.
B
You
have
to
have
more
processing
power
out
near
them
to
process
and
send
that
collected
data
that
aggregated
data
that
aggregated
information
back
into
your
cloud
services
right.
You
can't
just
stream
all
of
that
data
all
the
time
necessarily,
and
so
that's
where
the
edge
comes
to
be,
and
so
again
I
haven't
really
clearly
defined
what
the
edge
is
right.
B
It
could
be
these
internet
of
things
devices,
but
really,
I
think
the
way
to
think
about
the
edge
is
to
define
it
as
to
what
it's
not
right,
so
you
have
endpoints,
which
are
the
end
user
devices
and
the
other
data
generating
devices,
and
you
have
your
core,
which
is
like
your
core
infrastructure.
Maybe
that's
in
the
cloud
or
it's
on
premise
and
and
the
edge
lives
somewhere
in
the
middle
there
right.
B
So
this
is
things
that
might
be
are
closer
to
those
endpoints
but
might
have
computing
power
requirements
before
that
data
gets
sent
back
into
the
core
infrastructure,
and
so
it
can
mean
a
lot
of
things
and
we've
seen
it
mean
a
lot
of
things.
So
there's
a
lot
of
mission-critical
decisions
that
happen
to
happen
on
that
edge.
B
Right,
based
on
what
the
current
data
is,
what
the
previous
models
we
had
were-
and
these
are
you
know,
grandiose
versions
of
that
right,
kubernetes
in
your
car,
you
know,
obviously
that's
something
we
could
all
think
of,
but
then
also
nasa
is
you
know,
putting
kubernetes
clusters
now
and
devices
that
it's
flying
out
into
space
into
the
moon.
We
see
the
european
space
age
and
other
space
agencies
doing
that
as
well
in
the
u.s
air
force,
putting
it
inside
of
a
fighter
jet.
B
So
these
are
places
where
there's
a
lot
of
data
being
generated
and
a
huge
need
for
processing
power
there
at
the
edge,
but
there's
other
simpler
things
right.
These
are
kind
of
grandiose
things.
You
know,
if
you
think
of
surveillance
systems
or
road
or
toll
or
traffic
management
systems,
lighting
asset
tracking
right,
there's
lots
and
lots
of
things
at
the
edge
that
need
this
kind
of
computing
power
and
that's
why
talking
about
kubernetes
at
the
edge
and
and
things
like
k3s
and
and
ways
of
running
kubernetes
in
a
lightweight
way,
but
still
leveraging.
B
B
So,
second,
another
trend
that
I
think
is
is
still
being
figured
out
is
it's
called
service
mesh
and
so
again,
let's,
let's
talk
about
that
and
kind
of
define
it.
Well,
I
think,
before
you
can
define
service
mesh,
you
really
have
to
understand
what
a
micro
service
is
and
then
again
differentiating
microservices
from
a
service
mesh
because
they're
kind
of
interrelated,
so
a
microservice
right.
The
idea
of
that
is,
you
know
we
used
to
build
only
these
large
monolith.
Software
applications
that
you
know
kind
of
is
one
code
base.
B
That
does
everything
you
know
does
all
of
the
transaction
processing.
It
does
all
of
the
business
logic
it
does
all
of
the
you
know,
handling
of
login
and
identity,
and
all
of
that
in
kind
of
one
massive
monolith,
the
idea
of
microservices.
Is
you
break
that
into
distinct
services
right?
There's,
an
identity
service,
there's
a
payment
processing
service-
and
you
know
that's
a
that's
a
fantastic
idea
for
a
lot
of
businesses,
because
at
a
large
enterprise
you're
going
to
have
massive
teams
that
have
to
then
figure
out.
B
B
You
have
a
lot
of
connection
points
to
think
about,
and
what's
the
right,
you
know,
level
of
data
access
between
this
service
a
and
service
b,
but
using
a
service
mesh,
allows
you
to
place
kind
of
a
proxy
layer
where
all
of
the
metrics
about
traffic
and
routing
and
how
do
we
retry
and
when
do
we
time
out
and
how
do
we
turn
something
on
and
off
is?
Is
you
know
controlled
within
that
service,
mesh
control,
plane?
B
And
so
that's
why
you
see
a
lot
of
folks
talking
about
you
know
there
was
a
lot
of
kerfuffle
last
year
about
which
service
mesh
is
best.
I
won't
get
into
all
that,
but
I
do
think
service
meshes
is
something
that's
going
to
be
around
for
a
while
as
more
folks
adopt
microservices
and
see
that,
while
it
is
a
great
model,
it
quickly
can
spiral
out
of
control.
If
you
don't
have
a
way
to
centrally
control
it,
which
of
course
you
did
on
a
monolith.
B
So
those
are
the
kind
of
cloud
native
technologies
I
want
to
look
after,
but
I
also
think
there's
some
industry
trends
and
I
honestly
don't
know
why
I
drew
this
line.
I
mean
it's
somewhat
arbitrary,
but
I
think
that
there's
these
trends
really
impact
the
whole
software
industry
and
not
just
the
cloud
native
community,
although
that
could
be
argued
for
for
either
side
of
any
of
these,
and
so
there's
a
couple
of
things
I
want
to
talk
about
there
that
I
think
are
becoming
really
important.
B
The
first
and,
and
maybe
the
most
critical
is-
is
supply
chain
security.
This
is
something
that's
gotten
a
lot
of
attention
recently
and
I
think
the
reason
that
it's
now
getting
so
much
attention.
I
mean
supply
chain
attacks
right
attacking
somewhere
along
the
supply
chain.
It
has
been
around
as
long
as
humanity
humanity's
been
around
right.
B
That's
if
you
read
sun
tzu's,
the
art
of
war,
you'll
you'll
read
about
supply
chain
attacks,
but
I
think
they're
getting
software
supply
chain
attacks
are
getting
so
much
focus
currently
because
we're
at
a
point
where
there's
a
lot
of
organizations
and
enterprises
who
have
really
matured
their
security
practices
fairly
well
and
created.
You
know
defensive,
perimeters
and
other
areas
where
they're
they're
relatively
secure,
and
so
then
attackers
decide
to
then
find
the
suppliers
to
those
organizations
that
may
be
less
mature
security,
wise
and
an
attack.
There.
B
Finally,
I
think
this
is
kind
of
a
general
catch-all
category,
but
I
think
it's
one
that's
important,
and
this
is
like
tooling,
and
the
experience
for
developers
and
operators
so
we're
seeing
a
huge
kind
of
influx
in
how
do
we
give
developers
and
operators
a
great
experience
and
make
it
really
easy
to
do
their
jobs?
And
so
there's
probably
a
dozen
things
I
could
talk
about
here.
B
You
know
get
ops
is
one
thing
you
hear
a
lot
about
right.
This
is
the.
How
do
I
get
the
code
that
we're
writing
into
production
into
kubernetes
into
my
cloud?
Native
technology
is
as
best
as
I
can,
and
a
lot
of
folks
are
seeing
that
you
know
maybe
having
an
agent.
That's
pulling
that
those
changes
into
the
cluster
is
better
than
something
that
pushes
it
that's
kind
of
again
more
of
a
kubernetes
methodology
that
I
want
to
state
my
desired
state
and
have
some
agent
making
that
true
right.
B
So
that's
how
you
can
think
of
get
ops,
of
course,
artificial
intelligence,
machine
learning.
I
mean
it's,
it's
something
we've!
We
talk
about
a
lot,
but
it's
more
and
more
being
seen
as
like
a
key
solution
to
a
wide
scope
of
challenges
for
businesses-
and
you
know
it's
really
challenging
design
and
build
and
implement
successfully
at
scale
and
production
settings
and
so
tools
around
cloud
native,
like
kubeflow,
are
really
bringing
a
lot
of
that
tooling.
B
B
You
know
there's
less
and
less
companies
doing
it
more
companies
are
doing
more
and
I
think
developers
and
operators
are
going
to
come
to
expect
that
all
of
these
tools
are
just
integrated
into
a
single
platform
that
allows
kind
of
the
dual
goal
of
getting
software
built
and
shipped
quickly,
but
also
maintaining
and
operating
that
software
in
the
future.
Together.
B
So,
okay,
let's
say
those
are
the
trends
today
you
know
what's
next,
how
can
you
you
possibly
possibly
keep
up
with
all
this,
and
and
so
that's
a
great
question,
and
so
how
could
you
possibly
keep
up
with
all
these
trends?
Well,
I
think
the
the
clear
answer
is
well,
you
can't
it's
not
possible
right
and
I
don't
think
you
should
put
pressure
on
yourselves.
You
know
to
understand
and
have
a
grasp
of
all
of
these
technology
changes-
and
you
know,
know
everything
about
them
and
dive
a
mile
deep.
B
B
I
think
the
the
number
one
way
to
do
that
is
just
to
accept
you're,
going
to
be
in
a
constant
state
of
learning
and
be
okay
with
that,
like
that's
how
it
works,
I
don't
know
very
much
and
the
more
I
learn,
the
less
I
you
know
know
or
the
more
I
know
I
don't
know
and
and
that's
okay
right,
but
there's
a
lot
of
great
ways.
I
think
that
you
can
enable
yourself
to
be
learning
one.
B
I
I'd
highly
encourage
you
to
attend
cubecon
and
if
you
are
having
an
issue
with
with
making
that
happen,
please
you
know
find
me
on
twitter
and
let
me
know
I'd
like
to
help.
I
think
you
should
follow
folks.
I
think
twitter
is
a
great
place
to
follow
folks
that
you're
interested
in
topics
you're
interested
in
and
then
on
the
cncf
side,
if
you're,
not
in
the
cncf
slack.
A
B
So,
let's,
let's
talk
about
that
so
folks
to
follow.
I
just
put
a
couple
here:
kelsey
hightower,
if
you're
not
following
him,
you
have
to
follow
him.
I
also
would
recommend
following
priyanka.
Priyanka
sharma
is
the
the
general
manager
of
the
cncf
she's
speaking
at
this
conference
as
well,
but
she
really
helps
highlight
all
the
things
that
team
cloud
native
is
doing.
B
B
But
there's
also,
you
know,
finally,
a
mentoring
program
if
you're
looking
for
a
mentor,
there's
a
huge
mentoring
program
as
a
part
of
the
cncf,
and
I
would
really
encourage
you
to
check
that
out
and
that
would
be
great
and
it
it's
even
on
github
and
I
work
for
gitlab.
But
that's
how
much
I
care
about
the.
B
Program,
you
know
sign
up
for
that.
So
thank
you
so
much
again
for
having
me
today.
It
was
really
my
pleasure
to
be
speaking
with
you
again
if
you've
got
questions,
I'd
love
to
take
them
now
and
and
if
not,
if
you,
if
you
want
to
follow
up
with
me
on
twitter
afterwards
again
I'm
very
open.
My
dms
are
wide
open.
If
you,
if
you
have
any
questions
after
today,.