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From YouTube: Emerging Tech Keynote: Driving Open Source Innovation - Erin Boyd - Red Hat OpenShift Commons 2022
Description
Emerging Tech Keynote: Driving Open Source Innovation at Red Hat
Red Hat OpenShift Commons 2022 @ Kubecon/NA
Detroit, Michigan
October 25, 2022
Speaker: Erin Boyd (Red Hat)
Director of Emerging Technologies, Distinguished Engineer, CNCF TOC Board
https://next.redhat.com/
https://commons.openshift.org/gatherings/kubecon-22-oct-25/
A
A
So,
looking
back
over
the
years
in
terms
of
how
we
bring
emergent
Technologies
into
really
an
Enterprise
grade
level,
we
look
first
as
we
do
as
our
ethos
into
open
source,
where
there's
over
150
million
different
projects
today
to
look
at.
So
how
do
we
do
that
intelligently?
Figure
out
which
project
is
has
legs
is
going
to
work
is
interesting
to
our
customers.
Part
of
that
is
the
co-collaboration
that
goes
on.
So
we
work
hard
to
embed
ourselves,
Within
These
different
projects
and
communities
and
to
understand
the
challenges.
We
also
talk
to
our
customers.
A
A
So,
as
Diane
mentioned
I'm
in
the
office
of
the
CTO
and
we're
structured
into
four
different
categories,
we
have
emerging
Technologies,
we
have
the
open
source
program
office,
we
have
distinguished
engineer
vitality
and
we
have
research.
So
you
can
see
these
four
aspects
really
cover
the
gamut
of
innovation,
community
and
product,
and
so
our
ideas
come
from
communities,
customers,
universities,
even
our
partners
at
IBM.
A
So
the
first
thing
that
we
do
is
we
identify
a
project
that
we
think
is
interesting
or
novel
or
fits
a
gap
from
that
we
then
align
with
Partners
within
the
business
to
see.
If
this
is
something
that
could
potentially
be
productized,
then
we
go
to
develop
a
POC
and
we
don't
just
develop
something
over
a
day
we
spend
weeks
we
make
sure
that
this
can
actually
be
integrated
into
the
product
portfolio
and
then
what
we
do
is
a
tech
transfer.
A
A
But
what
I'm
actually
more
proud
of
is
the
things
we
don't
invest
in
because
many
times
we
experiment
and
we
fail,
and
so
what's
so
important
and
unique,
is
that
within
our
culture
at
red
hat
and
emerging
Technologies
we're
given
the
psychological
safety
to
fail
to
say
this,
isn't
a
good
fit.
We've
invested
the
time,
there's
no
sunk
cost.
A
So
emerging
Technologies
has
nine
different
Focus
areas
and
if
you
looked
at
this
slide
six
months
ago-
or
you
looked
at
this
slide
a
year
ago,
it
would
have
different
teams
and
it's
very
intentional.
The
idea
is
that
we
have
small
teams
moving
very
quickly
and
we
create
and
reorganize
as
we
need
according
to
what
the
business
needs.
So
today,
the
nine
different
teams
are
really
focused
around
security,
computational
infrastructure,
Edge,
Computing,
open
Services
data
management,
multi-cloud,
networking
sustainability,
application
platforms
and
artificial
intelligence,
and
that's
a
lot
of
different
areas
to
keep
track
of.
A
I'm
not
going
to
go
very
deep
today,
because
I
know,
as
Diane
mentioned,
we
have
a
couple
customers
talking
about
their
specific
use
cases,
and
so
they
will
be
touching
on
some
of
these
Technologies
and
how
they're
integrated
into
the
portfolio.
So
what
really
has
our
interest
today?
Right
now?
It's
development
pipelines
for
AI
applications,
end-to-end
security
of
those
as
we
move
things
out
to
the
far
Edge
when
we're
moving
things
out
to
the
far
Edge
the
compute.
There
is
changing
we're
embracing
arm
we're
going
to
be
embracing
risk
five.
A
How
is
that
changing
the
way
that
we
develop
applications
and
workloads
in
a
secure,
consistent,
Manner
and
at
scale,
and
as
we
look
to
creating
that
data
on
the
edge?
What
about
data
sovereignty?
How
are
we
managing
and
governing
the
data
that
we're
putting
at
rest
and
then?
Lastly,
how
are
we
using
these
different
computational
infrastructure
architectures
to
make
more
Intelligent
Decisions
towards
a
sustainable
ecosystem.
A
So
as
a
developer
within
the
ecosystem,
things
change,
our
developers
have
gone
to.
You
know
just
using
go
to
being
data
scientists
within
the
ecosystem,
contributing
to
the
AIML
models
that
allow
corporations,
communities
and
projects
to
work
more
efficiently,
but
in
doing
that
we
don't
use
the
same
tooling
and
so
that
we
as
Engineers
need
to
make
sure
that
the
security
underlining
the
way
that
we
create
these
pipelines
is
secure
from
the
time
that
they
push
the
model
out
to
be
deployed.
A
So
once
we
do
this
and
we
Embrace
Edge
fully
and
create
millions
of
devices
out
on
the
far
Edge.
How
do
we
actually
operate
and
sustain
being
able
to
make
sure
that
we
can
push
the
model
that
the
model
is
secure
and
that
we
can
take
down
devices
that
may
have
been
compromised
that
all
goes
into
the
challenges
with
operations?
A
So
how
do
we
make
it
easier
for
data
scientists
to
do
their
jobs?
So,
first
of
all,
they
need
to
be
able
to
create
an
AIML
model
very
easily.
They
need
to
not
rely
on
the
traditional
software
engineering
tools,
but
instead
use
the
tools
that
are
meaningful
to
them,
lower
the
bar
for
them
to
be
successful,
and
part
of
this
is
maybe
they
want
to
work
within
a
web
browser
using
a
jupyter
notebook
to
interact
with
it
change.
A
Their
model,
understand,
evolve,
and
so
one
of
the
Technologies
coming
out
of
emerging
technologies
that
is
hosted
by
project
meteor
is
called
bring
your
own
notebook.
This
is
currently
hosted
on
open
data
Hub.
You
can
go
out
and
try
it
yourself.
What
this
allows
is
to
be
able
to
push
your
workload
to
the
edge
from
that
very
easily
build
the
model
that
you
want
not
worry
about
the
rest
of
the
engineer,
tooling,
but
be
productive
right
out
of
the
gate.
A
So
the
end
result
of
this
integration
really
is
more
productive
and
happier
data
scientists,
but
once
we
do
push
that
model
out
to
the
edge,
since
we
are
a
data
scientist
we're
working
within
our
browser,
we
have
just
opened
up
an
opportunity
to
it
not
be
secure.
So,
as
I
mentioned
before,
it
is
our
responsibility
to
make
sure
with
the
pipelines.
Once
we
push
the
model
that
we're
providing
the
security
necessary
to
do
that.
So
once
the
model
is
pushed
using
a
web
hook
in
GitHub,
our
tecton
pipeline
is
kicked
off.
A
That
image
within
tecton
is
then
signed
by
cosine,
which
is
part
of
the
Sig
store,
Pipeline
and
then
pushed
out
to
the
device.
So
what
happens
when
it's
out
to
the
the
device?
The
device
might
be
a
camera
in
a
train
station
somewhere.
We
need
to
make
sure
that
that
device
cannot
be
physically
infiltrated
and
the
container
image
changed.
A
Therefore,
we
look
at
projects
like
key
lime,
which
provides
attestation
at
the
actual
device
to
make
sure
that
what
I've
signed
and
said
is
secure
is
actually
running
on
the
device
protect
the
cosine
Sig
store
in
Key
Lime.
All
have
been
projects
that
have
come
out
of
emerging
Technologies,
addressing
the
challenges
unique
to
Edge
to
security
into
Cloud
today,
and
so
what
does
this
happen?
The
data
scientists
can
worry
about
what
they
want
to
do,
but
ensuring
that
we
have
the
right
build
pipeline.
We
are
creating
more
confidence
in
the
end-to-end
software
supply
chain.
A
So
how
does
this
all
come
together?
How
do
we
manage
this
many
devices
when
we
start
talking
about
Edge,
and
so
because
we
created
a
project
that
Frank
will
be
talking
about
later
called
micro
shift.
We're
able
to
have
the
same
ease
of
deployment
as
we
would
in
openshift
now
out
to
the
edge,
so
microshift
is
a
project
that
was
created
to
exactly
address
this.
A
If
I
am
used
to
the
tooling
the
pipelines
and
the
tools
that
I
use
in
openshift
I
want
to
have
that
same
ease
of
use
all
the
way
out
to
the
edge,
but
on
a
smaller
footprint.
I
also
need
to
make
sure
that
I'm
able
to
address
the
challenges
unique
to
Edge.
Some
do
not
have
a
great
Network.
Some
are
very,
very
small
Footprints,
so
using
microshift,
our
customers
today
will
talk
about
how
red
hat
device
Edge
is
able
to
take
their
openshift
pipeline
Pipeline
and
expand
it
out
to
the
scale
that
we
need.
A
So
successes
we
all
like
to
celebrate
when
things
go
right
and
micro
shift
recently
in
may
actually
went
out
into
space.
That's
right.
We
took
micro
shift
into
space
as
part
of
the
Endeavor
rocket.
It
was
used
to
create
a
means
of
democratizing
space
by
high
school
students
can
now
publish
their
experiments
up
on
the
International
Space
Station
and
get
data
back
using
micro
shift.
A
A
But
we
wouldn't
be
here
without
the
community.
Unique
to
Red.
Hat
I
think
is
how
we
co-collaborate
not
only
within
communities
but
with
our
customers
directly,
and
so
you
know.
Another
piece
that
we've
been
participating
in
has
really
been
to
create
a
new
cncf
sustainability,
technical
Advisory
Group.
We
recognize
that
many
organizations
are
looking
at
what
is
my
carbon
footprint?
How
can
I
reduce
the
costs
as
I
grow
to
scale
within
my
organization,
this
technical,
Advisory,
Group
and
projects
like
Kepler,
which
I
hope
you'll
go
to
the
talks
this
week
at
kubecon,
we'll
talk
about?
A
How
do
we
consistently
measure
that,
within
the
data
center
report,
that
and
then
eventually
make
Intelligent
Decisions
around
scheduling
to
be
able
to
leverage
things
like
Edge
the
low
power
low-cost?
Do
your
AIML
out
to
the
edge
another
Foundation
that
we
are
leading
this
year?
Is
the
open
programmable
infrastructure
Foundation?
A
We
recognize
that
Hardware
is
quickly
becoming
very
relevant
again
with
arm
and
risk
five
being
brought
into
the
data
center.
How
do
we,
how
do
we
not
disrupt
the
way
that
we've
created
jobs
but
still
be
able
to
leverage
these
different
architectures
and
then?
Lastly,
Luke
Heinz,
who
works
in
my
office,
is
one
of
the
heads
of
the
open
ssf
foundation
as
an
elected
leader.
You
know
taking
security
into
the
next
Frontier,
so
we're
very
proud
to
be
part
of
that,
but
today
I
wanted
to
announce
that
we're
actually
creating
a
new
community.
A
So
you'll
see
you
know
within
the
diagram
that
Diane
showed
take.
You
know,
taking
all
these
pieces
and
parts
together,
I
didn't
see
her
slides
ahead
of
time.
It
just
is
serendipitous
that
it
worked
out
this
way.
There
are
many
people
that
contribute
to
many
different
pieces
of
this
ecosystem,
and
it
is
complex
and
to
say
that
it
works
right
out
of
the
box
is
not
always
true,
so
as
people
take
openshift
into
their
organization
and
they
manage
it
themselves,
we
want
to
hear
from
you.
A
So
we're
inviting
you
today
to
come,
develop
tooling,
Technologies
in
a
community
of
practice
and
create
transparency
across
all
of
these
platforms
to
really
Drive
Innovation,
because
that's
what
we
believe
the
beauty
of
Open
Source
is
so
you
can
either
scan
the
barcode
or
go
to
opt1.st,
slash
Sig,
SRE
and
join
that
Community
today
and
start
contributing
to
making
these
things
operationally.
Excellent.
A
So
and
I
just
want
to
thank
Diane
in
closing
trying
to
get
us
back
on
time.
Here.
Diane
invited
me
to
be
part
of
one
of
the
first
Commons
a
long
time
ago
in
Seattle
to
talk
about
Big
Data
at
red
hat,
which
we
don't
even
do
anymore.
So
that
tells
you
how
long
we've
been
here,
but
she
has
been
a
catalyst
to
many
people
in
their
careers.
So
thank
you.
Diane.