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From YouTube: Applying Cloud Native Technology to Real Life
Description
Thomas Di Giacomo, President of Engineering and Innovation at SUSE, is joined by Reinier van der Drift, CEO of Tymlez and Frank Mittag, Chief Architect of Tymlez to discuss a real world solution that helps hospitals increase the speed and decrease the time required to do stroke analysis. This use case discussion involves block chain and a distributed AI system. See the full interview by visiting the SUSE Virtual booth.
A
Hi,
I'm
thomas
from
souza
and
I'm
your
host
for
the
next
few
minutes.
I
have
the
great
pleasure
to
be
joined
by
two
guests
today,
rainier
the
ceo
of
teamless
and
frank
chief
architect
at
teamless
to
discuss
about
how
cloud-native
technologies
can
be
applied
to
real
life,
rainier
hope
you're
doing
fine.
Can
you
tell
us
a
bit
more
about
you
and
about
teamless?
Please?
A
B
Thank
you
very
much
thomas,
and
we
are
very
proud
to
be
present
here
as
a
long
time
partner
of
susan.
So
timeless
is
an
enterprise-ready
blockchain
development
stack,
which
is
fully
containerized
and
utilizes
kubernetes
and
suture
gas
platform
for
container
management.
Great.
A
Thank
you
for
that.
I
know
of
a
few
projects
where
we've
been
working
together
and
one
new
skate
that
I
have
in
mind
is
around
edge,
and
I
mean
the
edge
can
be
many
many
different
things.
But
could
you
tell
us
a
little
bit
more
about
the
project
with
the
hospital
that
you
have
it's
pretty
exciting.
B
So
currently
we
are
integrating
our
blockchain
technology
in
a
workflow
for
strokeness
analysis,
so
with
brainstrokes
every
hour
that
doctors
are
going
to
treat
earlier,
the
number
of
patients
who
will
recover
without
any
major
problem
increases
by
15
percent.
This
specific
use
case
that
we
are
now
doing
is
to
build
a
distributed
artificial
intelligence
system
where
basically,
the
ai
engine
runs
locally
in
the
in
the
various
hospitals
that
are
working
together
in
the
chain,
so
our
blockchain
is
used
to
securely
share
the
outcomes
of
the
learnings
with
all
the
other
participants
in
in
the
chain.
B
So
the
use
case
is
specifically
aimed
in
speeding
up
the
analysis
of
brainstorms
and
well
when
you
take
a
scan,
a
brain
scan
the
photographs.
So
it's
it's
a
stack
of
photograph
and
it's
usually
a
few
gigabytes
big
and
in
the
current
setting,
it
is
sent
to
us
to
a
central
point
somewhere
in
the
cloud,
and
you
can
imagine
that
this
doesn't
scale
and
it
creates
a
single
point
of
failure.
B
B
A
It's
really
great
to
see
such
kind
of
use
cases
and
the
value
that
it
brings
not
only
to
businesses
and
companies,
but
also
to
human
beings
right
and
yeah,
and
maybe
that's
a
question
more
for
frank
as
well,
but
thinking
about
the
needs
and
those
use
cases.
What
made
you
select
some
of
the
cloud
native
technologies
tell
me
about
why
you've
made
those
technology
decisions
in
the
in
the
architecture.
Please.
C
Yes,
so
yeah,
when
you
think
of
blockchain
and
blockchain
based
applications,
then
those
require
actually
to
run
and
manage
not
just
a
single
node
but
a
whole
network
of
blockchain
nodes
and
even
each
node,
and
that
network
is
not
just
one
run
time
or
so
it
is
actually
a
consists
of
a
couple
of
runtime
components.
C
So
when
you
look
at
this
from
the
side,
the
overall
network
becomes
complex
pretty
fast.
So
in
order
to
develop
and
set
up
and
even
manage
such
a
complex
landscape,
we
decided
to
take
a
cloud
native
approach
which
includes
containers
as
well
as
kubernetes,
and
so
using
this
we
are
now
able
to
set
up
a
complete
blockchain
network
in
just
a
couple
of
minutes
in
even
in
different
cloud
environments,
and
that
is
actually
what
our
customers
want.