►
From YouTube: GeneralMeeting10-19-21
Description
October 19th 2021 General Ortelius meeting. Thoughts on Hacktoberfest, Ortelius Microservice Visionaries and the upcoming Governance Board is part of this conversation.
C
E
Yeah,
actually
tucker
has
already
yeah.
So
I
saw
like
there
is
a
polo
quest
remaining
and
I
found
like
you:
have
you
have
your
name
there.
F
F
Maybe
turkey,
maybe
your
name's,
like
okay,.
A
A
So
you
should
be
set
now.
I
just
merged
both
those
pull
requests,
so
we
should
be
good
on
that
front.
G
All
right,
great
all
right,
so
the
general
community
meeting
we
generally
cover
what
is
being
done
in
the
other
two
working
groups,
so
I'll
just
go
quickly
over
the
three
projects
that
the
ambassadors
are
working
on.
We
are
close
to
the
end
of
our
election
process
or
our
nomination
process.
I
will
tomorrow.
I
will,
I
think
we
have
this
week.
G
If
we
don't,
if
I'm
supposed
to
shut
the
nominations
down
I'll,
do
that
on
wednesday
and
I'll
get
the
election
process
set
up
so
I'll,
send
it
send
out
the
actual
voting,
and
if
you're
in
the
google
groups,
you
will
receive
a
invite
to
join
the
voting,
and
if
you
don't,
it
means
you're,
not
interested
in
voting.
So
that's
how
that
works.
G
I
think
that
we
have
I
haven't
looked,
but
if
we
have
an
issue
with
enough
people
in
nominating
themselves
for
the
board,
I
will
push
that
out
before
I
obviously
close
the
nominations.
We
are
working
on
our
december
8th
meeting
or
our
summit.
I
guess
you'd
call
it
a
contributor
summit.
I
believe
we
have
two
more
openings
for
speakers.
G
So
if
you're
interested
in
speaking,
grab
a
slot
and
we'll
probably
we'll
be
recording
that
in
november,
so
we
have
some
time-
we
still
have
time
to
think
about
it,
and
then
we
have
of
course
hacktoberfest
going
on,
and
I
think
that
is
pretty
much
the
three
things
that
we've
been
focused
on.
We
do
have
a
a
group
of
you
who
are
working
on
the
the
live
office
hours
and
I
think
that
is
moving
forward.
G
So
we've
got
quite
a
few
things
that
kind
of
up
in
the
air
they
haven't,
we're
still
juggling,
but
I
think
by
the
end
of
this
month,
most
of
that
stuff
will
be
over.
At
least
the
elections
will
be
over.
The
hacktoberfest
will
be
over.
We
can
focus
on
our
december
8th
event
and
getting
our
live
office
hour
meetings
going.
H
A
End
of
them,
you
know
we're,
I
don't
know
if
we'll
make
it
by
the
end
of
the
month,
but
we'll
be
wrapping
up
service
catalog
really
soon
here
as
part
of
that
process,
just
a
heads
up,
lisa
tracy
and
I
are
headed
to
the
linux
foundation,
leadership
summit
at
the
beginning
of
november.
A
So
if
there's
any
topics
that
you
want
us
to
like
research
or
any
specific
groups,
you
want
us
to
talk
to.
Basically,
it
ends
up
being
the
main
it'll,
be
the
company
sponsored
or
company
contributors
to
the
the
linux
foundation,
which
deploy
up's
one
of
them
and
then
also,
if
you're
like
on
a
governance
board
or
any
of
those
things
you
get
invited
it's
one
of
these
invite-only
type
of
events.
A
G
To
somebody
over
there
around
the
contributor
license
for
company
because
it
was
not
clean
right.
You
struggled.
A
Through
that
steve
yeah,
myself
and
usual
had
problems
with
the
the
website
for
getting
the
his
company
signed
up,
and
I
was
trying
to
do
the
same
thing
for
deploy
hub
and
it
it's
just
a
bizarre
process,
sometimes
the
same.
A
A
A
Yeah
he's
all
set,
so
he
can.
We
can
go
ahead
with
that
press
release.
He
we
got
his
figured
out
so
usual
in
inner
base
is
all
set
on
the
cla
front.
A
They've
been
doing
some
work
on
getting
started
with
like
how
to
install
ortus
type
of
thing
so
they're
moving
along
on
that
front,
great.
G
So
the
the
other
thing
I
I
have
just
for
this
group
to
think
about
in
terms
of
on
the
architecture
side,
we
had
originally
talked
about
put
adding
to
the
roadmap,
and
this
is
something
that
the
governing
board
was
going
to
be
very
helpful
with,
because
we
usually
have
to
solve
these
problems
in
the
community,
and
I
think
there
are
discussions
that
need
to
have
deeper
thought
in
them.
Originally,
we
were
thinking
about
after
the
service
catalog.
G
What
would
be
in
our
roadmap
is
a
git
ops,
integration
which
I
think
is
really
really
important,
but
we
have
had
come
users
now
reaching
out
to
us
about
building
service
to
service
relationships
and
steve
has
started
working
with
one
company
and
building
that
out
it
would
require
basically
some
plug-ins
so
steve.
Could
you
just
briefly
go
over
what
you're
doing
with
tominos.
A
Yeah,
so
what
we're
working
on
is
mapping
out
on
the
front
end.
A
The
restful
api
calls
so,
for
example,
in
our
microservices,
we
have
like
there's
a
text
file
microservice,
so
the
text
file
microservice,
is
the
one
that
gets
the
readme
file
and
the
swagger
file
from
the
backend
database
and
brings
it
up
to
the
front
end
that
microservice
makes
a
call
to
validate
user,
which
is
another
microservice
to
validate
the
user's
permissions
so
to
tell
whether
they
have
access
to
that
that
environment
that
that
data.
A
So
what
we
have
is
the
text
file
microservice
is
producing
one
endpoint,
which
is
where
you
can
grab
the
text
file
from
the
database,
and
it
consumes
one
other
microservice
which
is
validate
user.
And
then,
if
we
go
over
to
the
validate
user
microservice,
it
doesn't
consume
anything
else.
It
just
produces
the
validate
user,
microservice
endpoint.
So
what
ends
up
happening?
Is
we
have
these
relationships
between
microservices
at
a
restful
api
standpoint,
what
you're
producing
and
what
you're
consuming
now?
A
What
I've
done
on
the
deploy
up
side
is
I've
added
in
another
table
to
start
tracking
these
relationships
to
producers
and
consumers?
This
it's
just
a
small
little
table.
It
basically
has
the
verb,
the
endpoint
and
then
I
think,
maybe
the
description
or
something
like
that
really
really
basic,
but
it
allows
us
to
map
the
relationships
across
the
application,
everything
that
an
application
is
consuming
and
producing
and
all
that
stuff
and
you
get
these
nice
maps.
H
A
And
the
way
we
get
this
data
is
we
as
part
of
our
our
cli?
You
have
to
provide
us
as
part
of
the
build
process
you
when
you
do
like
a
docker
build.
We
need
to
get
two
files
we
need
to
get
to
the
the
producing
file
and
the
consuming
file
they're
just
json
files,
so
like
in
the
example
I
gave
the
text
file
a
microservice.
A
When
we
went
to
build
that
image,
we
would
have
two
json
files,
one
saying
that
it
produces
the
text
file
endpoint
and
the
second
file
that
it
says
is:
consumes
the
validation
user
endpoint
now
to
get
those
files
created.
A
What
you
produce,
for
example,
is
pretty
easy
to
figure
out,
because
we
have
our
swagger
file.
We
know
through
the
swagger
documentation
what
your,
what
endpoints
we're
gonna
end
up,
exposing
from
that
level
figuring
out
what
you're,
gonna
consume
is
gonna,
be
a
little
harder
because
it's
based
on
the
language.
So
if
you're
in
java,
you
have
to
look
for
certain
java
methods
to
do
http
calls
if
you're
in
node
you're
going
to
have
a
different
structure.
A
If
you
can
go,
you
can
have
an
additional
structure
so
to
gather
this
data,
the
pursuit,
producers
and
consumers
we're
going
to
need
plug-ins
to
scan
code
to
help
people
grab
this
information
from
their
code
base
and.
A
That
code
code
scanning
occurs
when
you
do
your
docker
build.
So
as
when
you
do
your
docker
build
what
you
have
is.
Typically
you
have
you.
Do
your
docker
build
in
the
context
of
a
workspace
and
that
workspace-
and
this
doesn't
matter
it's
regardless
of
the
pretty
much
the
ci
cd
tool.
They
all
have
this
concept
of
a
workspace,
but
basically
that's
where
your
git
repo
has
been
checked
out
to
so
you
have
all
the
source
code
available
for
you
to
go
ahead
and
scan
at
that
level.
A
So
that's
where
we'll
need
to
create
these
plugins
to
start
scanning
the
code
for
these
api
calls.
I.
G
Wonder
if
do
you
know
if
shipwright
does
anything
like
this.
G
H
A
No
because
it
is
restful,
api
calls
so
they're,
like
http
calls.
Nobody
is
really
scanning
for
those
the
the
the
tools
out
there
that
are
doing
scanning
will
let
you
know
that
you're
using
the
http
library
for
java,
but
it's
not
going
to
break
it
down
into
giving
you
a
list
of
all
the.
A
Where
are
those
where
http
is
used
being
used
to
go,
make
a
call
to
a
database.
I
mean
to
a
restful
endpoint,
so
it's
very
language
dependent,
so.
F
I'll,
try
and
understand
it
is
it
to
do
with
like
cve
scanning
within
the
docker
image,
when
it's
being
built
is
that
is
that
what
you're
doing.
F
A
Yeah,
so
we're
so
the
other
way
to
look
at
this
is
on
the
back
end.
So
if
you
had,
let's
say
like
kiali,
you
know,
kiali
is
going
to
give
you
the
transaction
graph
on
the
back
end
side
in
your
kubernetes
cluster.
So
if
you're
using
istio
and
cal
and
kali
you'll,
you
can
see
that
the
text
file
microservice
is
calling
over
to
the
validate
user
microservice.
A
G
Right
so
there's
going
to
be
different
kinds
of
source
that
we
have
to
scan
to
make
that
work,
and
I
don't
think
it's
a
lot
yeah.
How
many?
How
many
scanners
do
you
think
we
would
end
up
needing
to
write.
A
You'd
have
like
a
swagger
or
open
api
scanner,
you
would
have
a
java
go
python
and
node
would
probably
be
the
ones
that
you'd
we'd
need
to
start
with.
So
whatever
that
was
four
or
five.
G
A
A
Yes,
so
as
part
of
part
of
the
ci
process
in
the
pipeline
process,
when
ortelius
needs
to
be
inserted
into
that
process,
so
we
do
a
our
cli
gets
inserted
after
the
docker
build,
and
actually
it's
technically
after
the
docker
push.
We
do
our
call
over
to
ortilius
to
grab
the
information
and
push
it
up
to
our
database.
A
G
So
if
everybody
can
start
thinking
about
that,
maybe
even
take
a
look
at
if
there's.
If
anybody
could
take
a
look
to
see
if
there's.
F
G
F
G
F
G
Than
putting
the
front.
F
G
F
G
G
One
they
want
to
work
on,
and
so
those
those
are
the
some
of
the
topics
that
we're
going
to
start
having
at
the
governance
board
level.
F
G
Figure
out
which
of
those
projects
that
we
would
push
out
there
for
the
community
to
start
working
on,
but
since
we're
still
a
small
community
we're
not
as
big
as
tincans.
Obviously
I
think
that
we
it's
easier
for
us
to
come
to
some
agreement
of
what
that
roadmap
is
going
to
look
like,
and
I
think
that
one
isn't.
It
fits
that
problem
fits
in
our
in
what
we
do
in
terms
of
mapping.
F
G
Sooner
than
later,
so,
just
something
to
think
about
in
the
coming.
You
know
winter
season.
D
A
We
you
know
for
us
to
move
on
to
some
of
this
fun
stuff.
You
know
we
we're
typical
developers,
so
we've
done
all
the
coding
like
on
the
service
catalog.
Now
it
came
to
testing.
A
I
want
to
go
on
to
the
next
project
and
forget
testing,
so
we
we
definitely
need
to
wrap
up
the
service
catalog
pieces.
We
don't
have
that
much
left
out
there
to
to
to
do
and
documentation.
We.
A
So
we
need
to
take
a
focus
and
just
knock
that
out
and
get
the
service
catalog
out
the
door
and
move
on
now.
Some
of
the
stuff
on
the
service
catalog,
like
the
helm,
charts
and
the
chart
museum,
are
lining
up
with
the
get
ops
piece,
so
things
are
overlapping,
which
is
good.
We're
only
doing
them
once,
but
we
just
need
to
get
some
of
this
just
off
our
list,
and
so
we
can
move
on.
G
So
I
I'm
proposing
that
for
the
for
getting
service,
catalog
done
that
we
do
like
a.
F
G
G
Of
october,
so
any
pull
requests
can
be
part
of
the
hacktoberfest.
So
it's
just
just
a
thought
that
we
might
make
a
push
to
to
make
that.
F
G
F
G
H
It
it's.
A
Brad's
been
working
on
that
because
he
needs
it
from
the
the
good
op
side
and
ugeball
has
been
talking
asking
about
it
because
he
wants
to
write
that
get
the
documentation
firmed
up
around
the
new
install
process.
So
what
we
we
just
need
to
get
that
out
there
I'm
supposed
to
have
a
meeting
with
brad.
A
G
So
before
we
have
five
minutes
left,
we
do
have.
F
C
Yeah
yeah,
I'm
here
I'm
also
listening.
I
I
try
to
figure
out
what
what
you're
really
talking
about,
but
I
shared
my
opinion
on
on
the
chat
link
not
to
disturb
you.
C
While
you
were
talking
so
as
far
as
I
understood
the
the
solution
that
you
are
looking
for
is
kind
of
similar
with
the
current
modern
apm
tools
like
app
timings
or
dynatrace,
because
they
start
tracing
the
transaction
from
the
end
user
side
by
just
inserting
a
javascript
or
an
sdk
to
the
application
and
follow
it
to
the
the
latest
backend
like
the
db
or
something.
So
we
know
that
we
need
an
entrant
transaction
flow
to
figure
out
in
here
right.
A
Right,
but
what
we
want
to
do
is
we
want
to
do
it
on
the
front
end
side,
because
the
reason
being
is,
if
a
transaction,
if
somebody
changes
a
restful
api,
let's
say
they
add
a
parameter,
that's
required
or
another
field
in
the
json,
that's
required.
G
So
we
want
to
create
proactive
data
instead
of.
C
A
Because
what
will
happen
is
the
you'll
have
different
versions
of
so
in
our
in
the
artillious
world.
We
have
versions
of
components
and
that
version
of
a
component
is
going
to
map
to
a
version
of
the
wrestle
api
endpoints.
Now
a
lot
of
times
the
the
endpoints
aren't
going
to
change.
A
You
know
it
would
be
like
the
business
logic
in
the
in
the
microservice
that's
going
to
change,
but
the
endpoint
itself
isn't
going
to
change
same
parameter,
same
data
in
and
out
type
of
thing,
but
when
you
do
have
that
case,
where
you
are
going
to
have
to
change
something,
we
want
to
show
that
map
and
that
ends
up
being
another
component
version.
A
So
what's
in
running
in
your
dev
state,
coming
out
of
ci
could
have
a
new
required
parameter
where
what's
running
in
production
is
the
older
version
that
it
doesn't
have
that
required
parameter.
So
we
can
use
this
data
to
diff.
Not
only
the
differences
between
you
know
what
is
making
up
an
application,
but
also
dive
deeper
into
the
relationships
about.
You
know
somebody's
going
to
break
backward
compatibility
on
a
an
end
point
who's
affected
by
it
type
of
thing.
A
So
it's
going
to
give
us
a
lot
more
details
down
the
road,
but
your
idea
that
the
way
you're
describing
it
is
exactly
what
we're
we're
talking
about
we're
just
doing
it
on
the
front
end
side.
Instead
of
the
back
end
side,.
F
C
F
G
Much
hidden
there's
there
are
many
hidden
points
in
microservices,
because
the
transitive
dependencies
are
not
are
not
clear,
so
you
think
about
you,
know:
jfrog
made
their
living
off
of
tracking
transitive
dependencies
from
a
code
scanning
point
from
a
build.
You
know
a
monolithic,
build
we're
looking
at
doing
similar
things
in
a
microservices
world
and
that's
where
those
scanners
are
going
to
be,
I
think,
will
be
a
very
interesting
feature
and
what
we
have
to
decide
as
a
group
is
what
we
want
to
take
on
for
next.
F
G
D
G
Out
of
australia
continue
working
on
the
get
ops
and
branch.
You
know
this
team
to
work
on
another
piece
if
we
can
do
two
big
projects
at
the
same
time,
and
on
that
I
want
it,
because
we
are
we're
going
to
run
out
of
time.
Some
of
you
may
or
may
not.
F
G
F
C
C
Okay,
thank
you.
So
I
was
just
a
little
bit
feeling
alien
here,
so
keeping
mediocrity.
So
I
I'm
turkey,
I'm
an
I.t
professional
here
in
turkey,
working
as
the
head
of
it
ops
in
one
of
the
largest
software
companies
in
turkey
named
logo
software,
and
I
have
been
working
with
the
microservices,
the
managing
services,
with
using
microservices
and
devops
tools
and
processes
for
like
more
than
five
years
and
still
trying
to
learn
and
expand.
C
My
knowledge
here
before
hearing
logo
software,
I
was
in
the
telco
industry
for
more
than
13
years
at
bottle
front
turkey
and
mostly
spent
my
most
of
part
of
my
experience
until
now.
So
I
feel
really
excited
and
happy
to
be
in
such
community.
C
C
Science,
so
I'm
hoping
we
hit
him
in
these
calls.
I
I'm
still
trying
to
convince
him
about
just
putting
his
name
on
the
the
data
part.
I
see
just
two
names
there
and
I
keep
telling
him
so
there's
an
opportunity
here.
Why
don't
you
get
in
and
try
to
contribute,
so
I'm
in
the
middle
of
the
way.
So
I
think
he
will
be
here
soon
great.
G
C
G
Well,
they're,
now
that
we
could
have
a
team
of
university
folks
working
on
data
science,
then
you
know
we
have
a
lot
of
data
and,
as
as
we
start
bringing
in
all
of
this
data
about
these
other
transitive
dependencies,
we
have
even
more
data.
So
we
haven't
there's
an
interesting
proposition
out
there
for
the
data
science
side
and
I
think
arvin
you've
looked
at
the
better
display
of
our
data.
All
of
those
topics
are
really
really
critical
for
us
and.
I
D
G
Group
that
we
could
start
building
up
that
would
be.
That
would
be
great,
especially
if
it's
got
a
lot
of
university
students.
That
would
be
a
really
fun
working
group.
G
Data
we
could
predict
how
many,
how
many
applications
are
impacted
by
one
update
to
a
single
transitive
dependency.
G
That's
that
alone
is
pretty
powerful
information,
so
the
data
science
part
because
then
you
we
could
then
start
thinking
about
this
idea
of
risk
levels,
and
you
know
even
creating
kind
of
like
in
github.
You
can
star
a
project
that
you
like,
you
could
potentially
start
automatically
start
a
microservice
that
has
a
lot
of
dependence
or
is
impacting
a
lot
of
applications,
but
never
breaks.
G
C
Okay,
can
I
have
a
question
just
a
quick,
quick
one.
I
guess,
since
I
don't
know
the
tool
very
well
until
now,
are
we
keeping
track
of
the
incidents
in
the
scope
of
ortelius,
because
some
of
my
time
I
have
just
spent
a
little
bit
time
on
the
ai
upside
and
in
that
project
we
were
trying
to
bring
up
some
intelligency
on
on
the
incident
history
of
the
applications.
C
G
H
G
We
call
our
service
catalog
a
a
connection
to
like
a,
I
don't
know,
pagerduty
or
we
already.
F
G
That
that
says
how
many
tickets
were
opened
on
it
or
because
we
don't
always
know
just
because
the
tickets
open
doesn't
mean
it
was
a
real,
a
real
problem,
but
we
could
certainly
add
integrations
to
incident
tools
to
take
that.
To
get
that
information
we
ourselves
would
would
not
be
a
support
desk,
but
we
should
be
able
to
integrate
into
that
in
the
in
the
future.
If
that's
something
that
we
feel
would
be
a
useful
piece,
and
I
think
it
would
be
because
of
that
kind
of
data.
G
G
D
G
A
Yeah,
so
the
you
know,
the
main
goal
of
ortelius
is
to
like
tracy
calls.
It
is
data
hoarding,
so
the
service
catalog
is
our
first
step
of
that
direction.
To
start
acquiring
and
associating
data
about
an
endpoint,
I
mean
about
a
microservice
to
everything
that
that
microservice
touches.
A
Now
when
we
look
at
that
from
like
the
incidents
or
you
know,
a
data
perspective,
what
we're
going
to
be
doing
is
building
additional
relationships
to
like
you're,
saying
turkey
over
to
like
an
incident
like
servicenow
or
page
for
duty
type
of
thing
to
get
more
incident
information
related
into
the
microservice.
A
We
had
the
cves
that
the
microservices
has
in
it
the
licenses.
Those
are
all
other
data
points
that
we're
starting
to
collect.
So
we
can
collect
anything
that
we
want.
We
can
start
collecting.
You
know,
apm
information,
you
know
summary
apm
information.
You
know
number
transactions
per.
Second,
for
example,
we
can
bring
that
in
so
any
of
that
data
that
we
want
to
collect.
A
The
one
thing
that
will
be
a
little
bit
tricky
on
the
the
machine,
learning
and
ai
side
is
we,
the
the
patterns,
are
going
to
be
harder
to
find
because
we're
going
to
be
looking
at
more
relationships
and
then,
instead
of
patterns
that
existing
in
a
large
data
set.
So
that's
going
to
be
the
interesting
part
when
we
look
at
it
from
an
ml
and
ai
perspective
is
how
we
can
leverage
those
tools
with
the
smaller
data
set,
but
also
be
able
to.
A
You
know,
understand
the
relationship
for
four
steps
away
from
where
we
are.
You
know.
How
can
we,
you
know,
make
our
way
across
the
relationships
bring
in
to
roll
it
up
into
meaningful,
actionable
data
that
we
can
work
with.
G
G
F
F
G
And
wrote
a
blog
and
I
will
get
that
post
pushed
out
on
captain.
It
was
a
very
interesting
vlog.
Everybody
should
look
at
it,
but
I'll
get
that
pushed
out
through
social
media
this
week.