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From YouTube: DevOps on the Edge! - Prasanjit Singh, STARZPLAY
Description
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DevOps on the Edge! - Prasanjit Singh, STARZPLAY
These are exciting times! Three contemporary technologies are on course to define the next decade! "Containers", "AI & ML" and "5G Networks". Why so? That is because, this combination paves the way for a massive disruption - 'Edge computing'. For the uninitiated, 'edge computing' is a distributed computing architecture that moves applications as close as possible to the user base. Edge computing bundled with 5G tech & ML will transform how enterprises run applications and services today. Core to this transformation is the ability of deploying these applications to edge locations. Kubernetes & its ecosystem of utilities will play a defining role here as the edge orchestrator.
In this lightning talk, Prasanjit Singh will articulate on DevOps tools & tailored practices that will define the journey to edge computing and assess where we stand today in terms of edge capabilities.
A
Hello
and
welcome
to
kubernetes
edge
day.
My
name
is
prasanjit
singh.
I'm
the
director
of
cloud
and
devops
practice
at
star
play
dubai,
where
we
are
reinventing
video
streaming
with
state
of
the
art
engineering
on
the
cloud
and
the
edge
across
20
plus
countries
worldwide.
Today
I'll
talk
about
devops
on
the
edge,
essentially
we'll
touch
upon
devops
tools,
tailored
practices
that
will
define
the
journey
to
the
edge
computing
and
assess
where
we
stand
today
in
terms
of
edge
capabilities.
A
Well,
I
must
tell
you
these
are
really
exciting
times
and
we
are
heading
towards
a
disruption,
and
I'm
saying
this
because
three
contemporary
technologies
are
on
course
to
define
the
next
ticket
number
one
containers.
Then
we
have
machine
learning
and
5g
networks,
while
containers
provide
portability.
5G
provides
the
speed
and
bandwidth
while
machine
learning
provides
you
the
insights.
So
just
imagine
what
power
these
three
can
bring
together.
A
These
have
diverse
applications
right
from
auto
driven
cars
to
medical
life,
saving
equipments,
video
streaming
collaborative
gaming,
space
exploration
and
the
list
goes
on.
In
fact,
this
combination
paves
the
way
for
a
massive
disruption
which
we
call
edge
computing.
This
will
transform
how
enterprises
run
applications
and
services.
Today
code
to
this
transformation
is
also
the
ability
to
deploy
these
applications
to
edge
location.
A
Now
before
we
go
on
and
understand
deployments,
let's
understand
the
edge
now,
what
is
edge
for
the
uninitiated
edge
computing
is
a
distributed
computing
architecture
that
moves
applications
as
close
as
possible
to
the
user
base.
So
what
happens?
Edge
computing
moves,
I.t
resources
closer
to
where
data
is
produced
and
consumed,
so
the
traffic
from
the
devices
is
processed
and
analyzed
in
near
real
time.
Unlike
the
cloud
deploying
closer
to
the
edge
enhances
consumer
experiences
by
reducing
latency
and
network
calls,
it
also
makes
the
technology
reliable
enough
to
handle
critical
applications.
A
A
Well,
the
edge
is
a
crowded
place,
smaller
footprint,
but
more
numbers.
It
is
distributed
across
thousands
of
locations
with
limited
space,
limited
cooling,
power,
scars,
computing
resources,
architecture,
heterogeneity
and
then
edges
made
up
of
different
nodes,
various
sizes,
vendors
and
technologies,
large
small
pnf
acrino.
You
have
aws
green
grass,
azure
edge
and
aws
outposts,
etc,
etc.
So
now
this
requires
a
proper
and
flexible
and
lightweight
orchestration
tool.
So,
yes,
orchestration
is
one
of
the
biggest
challenges
because
of
this
heterogeneity
in
the
edge
environments,
then
we
have
scalability
challenges.
A
Edge
nodes
are
small
availability
for
resources,
for
applications
is
not
guaranteed
and
then
because
of
the
numbers
and
heterogeneity
visibility
is
another
blocker.
So
you
need
good
monitoring
and
insights
framework
to
track
and
solve
issues
on
the
edge.
Adding
to
that,
when
we
keep
running
edge
nodes,
we
keep
generating
data,
so
edge
locations
would
not
have
ample
resources
to
store
and
archive
that
data.
A
So
there
needs
to
be
a
proper
policy
to
recycle,
store
or
archive
data,
so
that
becomes
a
challenge
on
the
edge
and
finally,
data
at
the
edge
is
highly
distributed,
which
means
enlarged
attack
surface,
so
hackers
can
easily
gain
access
to
edge
devices
and,
at
the
same
time,
because
you
have
less
visibility
of
what's
going
on,
it
can
be
disastrous.
So
how
is
all
this
tackled?
What
is
the
answer
to
this?
What
is
the
answer
to
these
challenges?
In
fact,
I
believe
devops
is
the
answer.
A
Devops
practices
provide
a
framework
for
delivering
consistent
and
reliable
software,
and
the
changes
are
done
as
fast
as
possible.
Micro
services
containers
orchestrators,
like
kubernetes
and
ci
cd
pipelines
solve
the
problem
of
heterogeneity
and
deployments.
Devops
allows
build
infrastructures
on
the
edge
using
terraform
and
to
manage
configurations
of
infrastructure,
and
software
defined
networks
and
ansible
can
also
be
used
to
manage
configuration.
Playbooks
can
be
used
to
run
drive
cycle
operations
and
archive
and
backup
the
data
to
back
to
the
cloud
from
the
edge
to
different
object
stores
like
s3
or
whatever.
A
So
that
is
how
devops
allows
to
solve
problems
in
the
edge
now.
Devops
practices
ensure
applications
built
for
open
containers,
can
be
securely
deployed,
tested,
run
and
managed
on
multiple
devices,
with
services
executed
from
multiple
private
and
public
clouds.
Also
lightweight
monitoring
probes
enable
real-time
telemetry
of
these
devices.
A
Finally,
devops
provides
the
guard
rails
to
your
developers
early
in
the
development
cycle,
so
that
they
can
stay
agile
and
without
inadvertently,
compromising
security
checks
can
be
integrated
in
ci
cd
pipeline
to
prevent
security
issues
and
from
and
from
vulnerabilities
to
make
into
make
their
way
into
your
edge
environment,
or
it
can
also
alert
the
developers
to
know
what
is
going
on
at
the
correct
time
and
remediate
that
problem
before
it's
too
late.
So
that
is
another
advantage
that
devops
provides
and
shifting
security
left.
A
This
approach
from
devops
is
good
for
reducing
not
only
cyber
risk,
but
also
it
reduces
cost.
So
that's
how
devops
practices
solve
the
problems
of
orchestration
security,
scalability
monitoring
and
life
cycle.
So
now,
let's
discuss.
How
is
that
to
be
done
like
how
and
what
are
the
tools
we'll
use
so
that
devops
can
be
tailored
for
the
edge
well
custom
devops
for
the
edge
requires
a
few
tweaks.
A
A
You
can
even
go
open
source
if
you
want
well,
assuming
you
go
open
source,
so
first
thing
use
githubs,
so
the
core
idea
of
githubs
is
having
a
git
repository
that
always
contains
declarative
descriptions
of
infrastructure
currently
desired
in
the
production
environment
and
the
automated
process
to
make
the
production
environment
matched
the
described
state
in
the
repository,
so
that
will
set
up
ci
cd
on
the
top
of
declarative
infrastructure.
So
you
can
stop
scripting
and
start
shipping
your
products
to
the
edge,
so
git
lab
get
a
bit
bucket.
A
These
are
all
good
enough
and
they
have
various
getter
getups
tools
with
them
as
well.
You
can
even
create
your
own
open
source
git
repository
for
this
well,
the
second
thing
for
declarative
pipelines
and
ci
cd
on
the
edge
you
can
use
drone
drone
is
a
very
lightweight
cicd
tool
and
you
can
use
it
to
build
the
image
launch
tests
and
deploy
on
different
environments.
It
is
lightweight
and
does
the
job.
A
Well,
if
you
have
a
hybrid
infra,
where
you
can
afford
to
run
jenkins
server
say
on
the
cloud,
then
you
can
use
that
too,
but
it
is
a
bit
heavyweight
because
it's
a
java.
So
if
you're
just
doing
it
on
the
edge
prefer
to
do
it
with
drone,
then
you
can
use
a
ranger
to
manage
application.
Catalog,
help
charts
a
monitoring,
project,
access
rights
and
kubernetes
nodes.
A
A
And,
finally,
you
can
use
lightweight
monitoring
tools
like
net
data.
It's
open
source
monitoring
tool
and
you
can
also
use
a
combination
of
prometheus
plus
grafana,
so
prometheus
will
act
as
the
agent
and
collect
data,
while
grafina
will
be
used
for
creating
your
dashboards.
Finally,
shift
left
for
your
security
gates
in
the
most
simple
terms.
Shift
left
security
is
moving
security
to
the
earliest
possible
point
in
the
development
process.
So
in
this
case
it
will
be
incorporated
in
the
pipeline
even
before
the
container
is
baked.
A
A
Devops
principles,
cicd
continuous
deployment,
continuous
integration
and
continuous
feedback
by
getting
alerts
from
your
devices
on
the
edge
and
finally,
and
not
the
least
use
kubernetes,
because
that
makes
orchestration
seem
like
a
breeze
and
because,
when
you're
talking
about
the
edge
say
you're
monitoring
a
car,
then
the
car
is
not
a
car.
It's
a
worker
node
of
a
kubernetes
cluster.