►
Description
FaaS and Furious - 0 to Serverless in 60 Seconds, Anywhere - Alex Ellis, ADP
OpenFaaS (or Functions as a Service) is a Cloud Native framework for building serverless functions with containers (as popularised by AWS Lambda). With OpenFaaS you can package any process or container as a serverless function for either Linux or Windows - just bring your Kubernetes or Docker cluster. Avoid vendor lock-in by running functions in your own datacenter or the cloud with your existing CI/CD and container ecosystem. The project focuses on ease of use through its UI and CLI which can be used to test and monitor functions in tandem with Prometheus integration that enables auto-scaling as demand increases.
You can deploy OpenFaaS in 60 seconds on Kubernetes and thanks to concise code templates all you need to write is a handler in your favourite programming language then let your cluster do the heavy lifting.
OpenFaaS was recently trending as the top open-source project on GitHub, won Best Cloud Computing Software 2017 from InfoWorld and has a thriving community with 65 contributors, 1400 commits and over 8k stars.
Come and find out how and why people are leveraging an event-driven architecture along with some cool interactive demos and swag.
https://blog.alexellis.io/introducing-functions-as-a-service/
https://github.com/openfaas
Note - OpenFaaS is an independent project started by Alex Ellis and is now being shaped by a growing community of contributors and users.
About Alex Ellis
Alex is a Docker Captain and Principal Developer @ ADP where he has years of experience in the enterprise supporting payroll and HCM for up to 500k clients. He's a polyglot, blogger, published writer and mentor in the Docker/container and Raspberry Pi community.
Join us for KubeCon + CloudNativeCon in Barcelona May 20 - 23, Shanghai June 24 - 26, and San Diego November 18 - 21! 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.
A
Now,
when
we
talk
about
service,
what
we're
really
looking
at
is
a
new
architectural
pattern,
a
way
of
designing
systems
so
we're
all
familiar
with
the
monolith
we
used
to
build
these
three
tier
application.
X'
they
had
a
database.
They
were
very
slow
to
test
very
hard
to
deploy.
They
did
far
too
many
things
and
we
broke
those
down
into
micro
services.
A
Now
those
micro
services
had
more
constrained
responsibilities,
but
at
the
same
time,
they're
actually
quite
hard
to
manage,
and
you
look
at
something
like
st
or
open
tracing
that
have
come
along
to
kind
of
bridge.
The
gap
more
functions
are
the
next
step
in
the
evolution
and
your
function
is
even
more
specialized.
It
tends
to
do
one
thing
and
one
thing
really:
well,
it's
a
discrete
reusable
piece
of
code.
We
can
be
deployed
and
you
can
pretty
much
forget
about
it.
A
So,
when
we're
looking
at
functions,
it's
that
next
step
in
the
evolution
now
they
do
not
replace
your
existing
micro
service
and
monoliths.
In
fact,
they
work
best
as
an
integration
as
a
kind
of
connected
tissue
to
bring
them
together.
Okay
and
you'll
see
how
you
can
build
an
event-driven
architecture
quite
easily.
An
example
might
be
a
event
from
a
payment
gateway.
They
needs
to
go
into
a
larger
part
of
your
system
and
I'm
actually
going
to
show
you
a
real-life
example
of
that
later
on.
A
So
this
is
a
cloud
native
landscape
and
we're
all
quite
familiar
with
this.
We've
been
seeing
it
every
morning
and
evening
and
open-face
is
actually
on
here
now.
I
think
somebody's
heads
and
in
the
way,
they're
so
open,
faces
on
now
and
really
practice
the
that
this
is
its
kind
of
the
the
chart
of
all
the
technology
and
upcoming
projects
and
what's
kind
of
hard,
is
knowing
how
to
navigate
it.
Okay
and
so
you'll
find
many
of
these
projects
work
together
to
create
new
value.
A
We
make
use
of
Prometheus
and
some
other
technologies
they're
like
container
D,
to
add
value
I'm,
just
going
to
specialize
on
open
fast
today,
I
just
want
to
talk
first,
a
little
bit
about
something
from
the
industry
from
a
cloud
provider
about
AWS
now
have
an
echo
dot
upon
the
stage.
This
is
a
voice
assistant
and
it's
a
great
example
of
service
applied
to
an
IOT
device.
You
speak
to
it.
Your
voice
is
uploaded
to
the
cloud.
Probably
a
monolith
we'll
pass
that
and
then
it
will
invoke
a
function
shortly.
Function
and
that's
it.
A
A
You
upload
it
and
Amazon
will
look
after
the
billing
for
you,
but
there's
some
restrictions
here
and
that
model
of
editing
code
in
a
web
editor
or
throwing
a
zip
file
across
the
wall
is
it's
kind
of
falling
short
of
what
we've
come
to
you
understand
as
cloud
native
now
you
can
actually
replace
lambda
with
open
fires
and
docker,
and
then
you
can
get
that
whole
ecosystem
that
we've
seen
on
that
landscape
and
bring
that
in
alongside
your
existing
applications.
But
why
would
that
matter?
A
We
should
be
able
to
write
functions
in
whatever
programming
language
suits
your
business
and
your
team.
You
should
be
able
to
run
them
for,
however
long
it's
necessary,
and
that
means
more
than
5
minutes
and
you
should
be
able
to
run
them
whatever
hardware
you
have
available
now
when
you
come
to
use
confidential
data
is
often
really
important
to
run
the
code
where
the
data
already
lives.
A
Now,
let's
take
a
quick
look
at
a
skill
that
I
built
out
and
the
Wi-Fi
is
actually
being
a
bit
patchy
here.
So
let's
keep
your
fingers
crossed
at
a
teepee.
I
have
to
go
through
around
20
klicks
to
be
able
to
book
a
day
off.
Maybe
similar
story
for
you
guys
and
I'm
built
a
skill
to
make
that
easier.
Okay,
Alexa
asked
self-service
how
many
days
I've
got
off.
B
C
A
A
When
you
look
at
open
files,
you
can
actually
make
any
binary,
even
a
C++
binary
from
25
years
ago,
into
a
service
function
without
changing
it
in
any
way,
any
binary
file
in
Windows
or
Linux
will
actually
work
that
way,
but
I
want
to
talk
about
some
specific
use
cases
and
then
go
into
them
so
machine
learning.
You
may
have
seen
colorized
bots
in
a
closing
keynote
with
we've
yesterday
and
we're
able
to
take
a
black-and-white
photo
and
turn
it
to
color
just
by
packaging
it
up
as
a
function
batch
jobs.
A
Many
of
us
will
be
having
our
payroll
processed
at
the
end
of
the
month.
Again,
that
will
often
be
done
with
a
batch
job.
If
you
have
a
function,
we've
opened
fires
you
get
batching
for
free
and
asynchronous
invitations.
You
don't
have
to
build
that
yourself.
Image
and
video
conversion
is
a
very
popular
workload
and
you'll
find
things
like
image.
Magic
are
still
being
used
widely
in
the
industry.
Today,
you
can
take
that
binary
without
writing
any
code
and
package
it
as
a
function.
A
This
is
a
perfect
example
of
a
mobile
backend
and
then
chatbots
and
I'm
going
to
show
you
really
exciting
collaboration
with
the
mobi
project.
Around
that
now
any
function
you
create
automatically
gets
a
HTTP
API.
It
gets
metrics
through
Prometheus,
so
you
have
observability
a
little
bit
about
the
story.
So
far,
I
started
this
project
by
looking
at
how
to
build
skills
for
the
Alexa
and
I
found
the
experience
somewhat
lacking.
Uploading
text
uploading
a
zip
file,
some
dependencies
locally.
That
is
not
the
container
native
way.
I
was
a
docker
captain
and
I
thought.
A
Well,
you
know,
let's
try
it
to
do
something:
I
wrote
a
POC.
It
was
quite
popular
and
I
I
figured
out
that
I
hadn't
done
everything
right
and
heard
about
the
docker
conchal
hacks
contest,
which
was
actually
in
Austin,
and
you
needed
to
push
docker
beyond
what
it
had
been
designed
to
do
now.
I
ended
up
pivoting.
The
whole
project
and
rewriting
ingo
and
they
accepted
it-
and
this
is
a
bit
of
a
homecoming,
so
I
was
actually
here
on
the
keynote
in
May.
A
So
it's
great
to
be
back
here,
but
since
May
I've
carried
on
going
and
it's
become
the
top
trending
project
on
github
overall
for
about
a
day
gained
over
8,000
stars
and
best
cloud
computing
software
from
infoworld,
along
with
docker
and
kubernetes,
very
just
humbled.
By
that
there
are
people
taking
this
to
production,
and
then
we
have
the
Cuban
80
support,
which
came
in
a
few
months
ago,
along
with
Nomad
DCOs
and
Cattle.
A
Now
this
project
would
not
have
the
the
it
would
not
have
this
much
traction.
It
would
never
have
grown
as
big
as
it
has
unless
we
had
a
community
behind
it
and
that's
a
key
difference
of
this
project.
So
we
have
over
65
contributors
and
I've
got
some
of
the
highlighted
ones
here
and
top
influencers.
So
up
on
the
left
here
we
have,
or
on
my
left,
we
have
Stefan
from
we've
works
and
he
came
along
to
try
and
do
a
cool
demos.
A
Okay,
be
actually
like
the
project
so
much.
He
stayed
and
he's
contributing
finian
with
the
sunglasses
there.
You
may
have
seen
him
in
the
keynote
is
17
and
he
helped
me
build
colorize
bot
and
have
a
story
for
each
one
of
these
guys,
including
Burton
who's,
a
local
here
and
we
actually
got
to
meet
face
to
face.
The
community
is
a
very
important
part
of
this
project.
We've
got
over
1400
commits
and
a
lot
of
momentum
right
now,
so
just
to
go
into
that
a
little
bit
more.
A
So
let's
talk
about
the
stack,
and
now
this
really
comes
in
one
flavor
cloud
native,
the
API
gateway
is
written
in
go
line.
That
is
the
central
point
where
all
of
your
functions
are
defined
and
all
your
traffic
is
routed.
It's
like
a
load
balancer.
If
you
like,
there's
a
restful
api
and
every
function
you
deploy
will
get
a
route
prometheus
is
baked
into
that.
Which
means
you
don't
have
to
do
that
yourself.
A
So,
as
each
of
your
functions
are
being
called,
we're
actually
tracking
statistics
on
that,
and
we
can
use
them
then
to
call
the
swarm,
QB,
Nettie's
api
natively
to
horizontally
scale.
The
demand,
Dockers
image
format,
I
think
we'll
all
agree
is
a
way
we
should
be
building
and
shipping
software.
We
don't
want
to
be
going
back
to
dropping
JavaScript
files
into
a
black
box.
If
we've
learned
from
that
and
the
function
watchdog
is
a
component
which
we
stick
inside
a
container
as
a
shim,
a
sidecar.
A
A
Now
even
fathers
actually
approach
is
more
than
just
an
open
source
project,
another
faz
framework.
We
have
a
values
that
we
use
to
kind
of
drive
where
the
project
should
go.
So
this
is
developer
first,
it
should
be
unsurprising.
We
do
not
want
magic
in
widgets
people
come
to
this
project
and
they
say
we
tried
the
alternatives
and
we
just
didn't
know
how
to
debug
it.
When
things
went
wrong,
we
have
a
CLI
in
a
UI
and
now
actually
really
treasured
by
the
community.
A
A
It
can
run
on
the
cloud
we
even
looking
at
technologies
like
aks
and
a
CI
by
Microsoft,
to
allow
you
to
run
open,
FAR's
and
very
easily
in
a
managed,
kubernetes
environment,
and
then
because
this
is
an
open
platform,
the
community
can
come
around
it
and
add
things
that
they
need,
which
has
led
to
developer
love.
Now
Burton,
one
of
the
guys
who
is
a
local
here.
A
Now
this
is
the
rough
architectural
diagram.
If
you
like
ten
thousand
feet,
we
have
the
CLI,
the
UI
or
any
web
service
coming
into
the
gateway,
and
then
you
have
your
functions
on
the
other
side.
Now
the
key
difference
between
open
files
and
other
projects
is
actually
you
can
swap
the
orchestration
framework
out.
A
Everything
else
works
exactly
the
same
and
that's
what
enabled
me
to
make
a
really
tight
native
integration
with
kubernetes
in
just
a
few
days
now,
we've
been
running
that
for
a
few
months
now
we
have
support
for
our
back
helm,
charts.
We
use
services
deployments
and
keeping
a
few
secrets.
So
there's
nothing
surprising.
It's
native
integration.
A
So,
let's
look
at
deploying
this:
it's
going
to
take
60
seconds
and
I'm
going
to
show
you
that
just
right
now,
there's
two
other
demos
that
you'll
see
the
first
one
will
be
a
collaboration
with
a
movie
project,
and
this
is
where
we've
built
a
store
that
can
create
you,
a
Linux
kit,
VM
and
we'll
pick,
which
ones
we
want
and
we'll
have
several
functions.
That
will
then
talk
to
Linux
kit
and
a
database
and
eventually
deploy
to
you
packet
or
net
alive
VM.
A
A
Let's
get
back
into
that
now:
I
just
have
the
llamo
here
and
I'm,
going
to
run
the
Yamal
in
using
and
I
think
we've
got
the
consensus.
It's
now
called
cube,
CTL
heard
it
from
Kelsey,
and
if
we
take
a
look
at
these
pods
cube,
CT
I'll
get
pods
we're
good
to
go
now.
I
can
show
you
the
open
files
UI
and
we
see
we've
got
no
functions
yet
now
this
is
brand-new.
We
actually
have
a
function
store
and
the
community
is
creating.
This
I
can
click
on
a
function.
This
is
the
inception
function.
A
It
will
tell
you
what's
in
a
photo
and
hit,
deploy
and
then
going
to
pick
another
one
that
I
really
like
again.
This
is
from
weave
and
this
is
an
SSL
checker.
So
what
I'm
going
to
do
is
I'm
not
sure
if
I
have
automation
on
my
certificate,
I'm
typing
in
the
request
body
at
the
bottom
I'm
going
to
hit
invoke,
and
we
now
got
a
response
back
from
this.
Sir
checker,
it's
telling
me
that
I've
got
to
the
1st
of
the
4th
of
January
Ari
Ari
register
my
certificate.
A
A
The
inception
function
is
what
we've
packaged
with
tensorflow
and
what
we
can
do
is
take
an
image
and
paste
the
URL
here
hit
invoke
and
we
get
back
a
categorization.
This
is
48
percent
C
line.
Ok
now
it
might
not
be
right
the
whole
time,
but
actually
what
we've
been
able
to
do
is
take
something
very
complex
and
in
a
few
lines
of
code,
just
package
it
as
a
function,
and
you
can
imagine
how
you
could
then
commoditize
this.
So,
let's
move
on
to
the
demo
of
the
mobi
store.
A
A
Now
the
concept
of
Linux
kit
is
that
you
will
build
multiple
V
containers
into
an
immutable
virtual
machine,
and
so
when
you
come
to
upgrade
your
server,
you
just
replace
the
entire
virtual
machine.
There's
no
upgrades,
there's
no
vulnerabilities
I'm
going
to
hit
build
and
deploy
and
I
believe
this
takes
about
30
seconds
and
an
over
on
my
packet
project,
30
seconds,
we'll
see
that
pop
up.
So
let's
just
go
on
to
the
next
demo
now.
Does
anyone
recognize
this
github
repository?
Do
we
know?
What's
in
there.
A
No,
this
is
Dockers
code
base
and
the
bot
that
we
built
for
open
fires
to
help
our
contributors
manage
the
code
without
actually
having
full
write.
Access
is
now
running
on
the
mobi
mobi
organization.
Now
I
can
take.
I
can
create
a
new
issue
here,
test
for
cube
con
and
because
I'm,
a
docker
captain
I've
actually
been
put
in
a
special
file
that
says
that
I'm
allowed
to
curate
these
issues
and,
like
as
a
derrick,
add
a
label
invalid
and
the
bot
will
pick
up
that
via
epoch.
A
You'll
then
apply
the
label
that
you
can
see
that
and
then
I
can
do
things
like
Derrick
closed
now.
He
also
does
smarter
stuff
for
our
project,
like
checking
that
people
have
signed
off
for
their
licenses,
so
he
won't
allow
us
to
merge
a
pull
request
until
they've
said
yes,
I
agree.
This
can
be
licensed
under
MIT
because
he's
closed
the
issue
there.
A
A
A
A
We'll
start
to
see
some
data
appearing
within
our
graphs
and
there
we
go
in
a
function
rate.
Has
it's
a
bit
faint,
it's
just
shot
up
here
and
the
replicas
or
on
the
right-hand
side,
and
as
that
traffic
continues
to
be
monitored
and
observed,
we'll
actually
see
the
function
scale
up
and
that's
a
horizontal
pod
scaling.
Okay
and
we've
just
gone
up
to
five
replicas
there,
and
now
we
have
more
capacity
to
process
that
more
compute.
When
that
finishes
it
will
back
off
and
it
will
go
back
to
one
replicas
again.
A
So
you
may
be
wondering
how
would
I
actually
write
a
function
myself?
Well,
we
have
a
CLI
that
can
make
it
really
easy
for
you
and
we're
not
going
to
put
you
into
any
boxes.
You
can
actually
use
a
full
docker
file
and
put
the
watchdog
in
manually,
but
we
have
some
templates
that
make
it
very
easy.
This
says
fast,
CLI
new
bash
language
Python,
and
we
have
the
name
of
the
function.
Docker
con
generate
two
files
for
you,
your
handler
and
your
requirements.
A
Even
key,
and
from
that
point
you
have
an
immutable
artifact,
and
this
is
a
key
difference
between
other
projects
that
can
be
deployed
into
dev,
QA,
staging
and
production,
and
you
know
you've
got
exactly
the
same
thing
once
you
actually
start
to
get
a
few
of
these
functions.
You
can
put
them
in
a
Yama
file
and
we
generate
this
for
you
so
here
I've
got
something
that
will
ping
in
URL
and
something
that
will
notify
me
to
slack.
A
A
So,
let's
talk
about
how
you
might
invoke
a
function-
and
you
might
be
surprised
by
the
simplicity
of
this.
We
have
a
route
for
a
resize
image.
Since
we've
deployed
the
function,
we
have
our
data,
our
binary
on
the
client
side
and
then
we'll
just
call
the
Gateway
with
the
URL
posting
the
binary.
It
will
look
up
the
function
in
the
service
catalog
with
DNS
post
to
the
watchdog
shim,
and
then
it
will
respond
immediately,
synchronously
with
a
TCP
connection
with
your
data.
That's
it
there's
a
very
simple.
A
A
However,
sometimes
you
may
want
a
deferred
execution,
and
this
is
where
you
can
use
an
asynchronous
way
of
running
your
code.
It
talked
about
batch
jobs
earlier.
In
fact,
our
colorized
bot
takes
around
8
seconds
to
run,
so
we
don't
want
a
persistent
connection.
We
run
it
in
the
background,
so
your
image
comes
in
to
the
gateway
and
it
will
be
queued
somewhere.
Our
default
implementation
uses
in
that
streaming,
which
is
a
very
lightweight,
fast
message.
Bus,
a
key
worker
will
then
call
the
function
for
you,
but
then
how
do
you
get
the
result
back?
A
Well,
normally
it
would
just
be
lost
or
you'd
have
to
code
something
to
store
it
somewhere.
We
have
a
built-in
mechanism,
x-callback
URL,
that
you
could
pass
with
your
original
call
and
then,
when
it's
finished
it
will
come
back
to
you
and
that
can
either
be
to
a
function
or
it
could
be
to
an
external
website.
So
if
you
want
to
play
with
this
later,
a
great
example
is
to
use
the
inception
function
in
the
store
and
request
bin
or
something
with
egg
rock
and
you'll
be
able
to
get
the
result.
A
Coming
back
to
you
soon
as
it's
ready,
we
also
have
a
Kafka
connector,
that's
been
built
by
the
community,
a
connector
for
a
vent
grid
and
we're
looking
into
AWS
SNS
as
well.
So
I
just
want
it
to
tell
you
a
little
bit
about
colorize
bot,
because
it's
kind
of
great
to
get
the
theory.
But
when
you
put
a
system
together,
you
learn
a
lot
of
things
very
fast.
A
We
have
a
tweet
listener
here.
Now
that's
actually
a
micro
service,
because
the
API
will
not
allow
you
to
keep
connecting.
You
need
to
have
something.
Persistent
and
that's
fine,
don't
use
service
functions
for
everything.
Please
do
not.
You
then
have
that
invoke
the
Gateway,
but
we
don't
send
the
image
in.
We
actually
store
it
in
object,
storage
in
Mineo.
Now
that
black
and
white
image
will
be
there
we'll
send
the
URL
into
the
Gateway.
The
Gateway
will
asynchronously
invoke
colorize
because
it
takes
8
seconds.
A
You
really
can't
afford
to
have
that
transaction
open
and
then
once
it's
invoked,
it
will
pull
the
picture
from
Mineo
will
then
tweet
the
picture
for
you?
Ok,
and
if
we
needed
to
do
anything
else
like
notify
slack,
we
could
do
that
we're
being
able
to
build
a
dashboard
out
of
it,
because
the
metrics
are
just
that
and
you
can
try
this
later
on.
The
spelling
is
a
little
bit
odd.
It's
American,
color
and
English
eyes.
A
So
one
thing
that
you
can
do
once
you
start
to
build
functions,
I
think
that's
where
the
value
comes
is
cookie-cut
things.
So
I
spoke
earlier
about
a
payment
gateway
right,
well,
Dan
Cohen
in
his
keynote
said
that
there's
this
cycle
that
makes
open
source
project
so
successful.
He
says
you
have
a
project,
creates
a
product
generates
profit
that
goes
back
to
the
project.
A
Again
now
we
haven't
quite
figured
that
out
yet,
but
one
thing
we
have
done
is
created
a
patreon
campaign
where
people
come
back
the
project,
ten
fifteen
dollars
and
just
help
with
stickers
and
bits
and
pieces
like
that.
So
I
created
this
function
that
takes
a
web
hook
from
patreon
every
time
somebody
submits
a
payment.
A
We
verified
the
origin
of
the
message
using
H
Mac,
which
is
the
same
as
what
Gipper
github
uses
and
then
tweet,
using
the
API
token
that
I've
stored
in
a
queue
Bonetti
secret,
and
you
could
take
that
and
you
can
modify
that.
However,
you
like,
in
fact,
if
you
star
the
open
files
repository
the
same
sort
of
code,
will
tweet
your
avatar
to
my
Twitter
feed,
just
kind
of
fun
fun.
As
well-
and
you
see
there
Wesley
kindly
helped
us
out,
so
this
is
more
than
just
a
POC
when
it
was
launched
in
May.
A
There
were
very
grand
ideas
now
we're
actually
getting
much
more
feedback
from
people
who
want
to
take
to
production.
I
talked
about
the
University
of
Calgary,
we
still
have
around
10
minutes.
University
of
Calgary
has
H
our
system
and
they
also
have
a
research
management
system.
Now,
when
a
paper
gets
approved,
they
need
to
link
that
to
their
HR
system.
A
They
actually
have
AK
Africa
cluster.
There
already
and
already
have
events
that
are
generated.
They
use
serverless
functions
to
connect
them
together
and
do
transformations.
Now
we
didn't
have
a
connector
at
the
time
and
they
just
wrote
90
lines
of
Python
code
and
it
just
worked,
and
that
goes
back
to
what
I
said
earlier
about
having
this
open
platform.
I
think
you'll
find
the
same
for
yourselves.
Conte
Amma
has
started
out
of
Berlin
and
they
do
a
lot
of
data
science.
A
Adp
have
been
experimenting
with
machine
learning
to
see
if
we
can
detect
customer
churn
and
what
we
were
able
to
do
was
figure
out
the
Python
code
of
scikit-learn
that
we
needed
in
a
console
app
and
then
just
wrap
it
in
a
function,
and
it
just
worked.
It
took
about
five
minutes,
so
it's
very,
very
quick
to
get
that
experience
to
build
things
up
and
to
start
going
to
production
with
it.
A
Now
there
are
a
lot
of
integrations
over
on
the
other
side
of
the
screen.
Some
of
these
have
been
done
by
the
community
and
some
are
actually
done
by
the
project.
So
Hashi
Corps
has
spent
a
developer
resource.
Their
developer
advocate
Nick.
Jackson
has
really
helped
the
project
and
he's
created
a
nomad
back-end.
A
So,
what's
next
for
the
project,
and
we
have
a
few
minutes
for
questions
well,
the
function
of
thought
has
actually
launched
it
launched.
So
quick
I
didn't
have
enough
time
to
update
this
slide,
so
go
and
check
it
out.
There's
no
more
searching
through
github.
We
said
serverless
functions
made
simple
and
that
actually
challenged
us
to
deliver
on
it,
and
so
now
you
can
one
click
and
get
a
really
useful
function.
A
Derek
as
a
public
github
app
is
now
installed
on
Moby,
Moby
and
I
hope
that
it
will
be
able
to
install
on
other
projects
too.
So
you
can
start
leveraging
the
benefits.
Fine-Grain
permissions.
We
have
a
documentation
site,
here's
a
little
preview
of
it,
just
ironing
ironing
that
out
and
then
on
a
technical
level.
The
things
that
they're
kind
of
really
interesting
and
also
some
things
that
are
really
helpful.
A
So
integrating
with
cloud
events,
SNS
cues
from
AWS,
you
push
to
s3,
you
get
an
event,
it's
currently
quite
hard
to
do,
but
I
think
we
can
build
a
connector
for
it.
Multi-Tenancy
is
something
that
people
ask
time
and
time
again.
How
can
we
create
secure
isolation
between
functions?
Well,
I
think
some
of
the
technologies
that
we've
seen
in
the
keynote
could
really
make
that
very
easy.
A
Observability
we've
open
tracing
again
could
allow
you
to
build
up
a
very
detailed
picture
of
all
these
functions.
That
you're
now
managing.
Where
are
the
bottlenecks
and
then
scaling
to
zero
and
I
think
this
is
largely
overcooked
people
look
at
serverless
and
they
say
we'll
look,
doesn't
lambda
scale
to
zero.
You
should
do
that
too.
Well:
I,
don't
have
hundreds
of
thousands
of
concurrent
users
over
an
over
provision.
Cluster
I
have
a
team
with
a
payment
gateway
that
needs
to
run
24/7
and
have
high
availability.
Perhaps
it's
okay.
A
This
is
a
direction
that
we're
moving
in
and,
of
course,
we're
open
to
contributors
and
I've
met
some
of
you
here
today
and
had
great
conversations
with
you
really
open
on
the
project
whenever
one
whenever
anyone
wants
to
join
slack
will
give
them
a
warm
welcome,
will
introduce
you
to
the
community
and
help
you
get
your
first
pour
requests,
matched
whether
that's
code
or
just
helping
in
some
other
way.
So
thank
you
very
much
for
listening,
really
appreciate
it
and
I
think
we
may
have
some
time
for
a
few
questions.
B
A
C
C
C
A
B
B
A
So
it's
a
sample
for
ffmpeg
available.
There
are
lots
of
samples
available,
ffmpeg
is
there.
We
have
a
community
repository
called
fast
and
furious,
and
that's
where
a
lot
of
the
store
images
are
so
yeah,
you
can
get
hold
of
it
and
you
can
actually
get
the
gift
maker.
You
put
a
YouTube
URL
in
and
it
will
give
you
a
gift
from
it.