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Description
Join Elastic for our virtual demo session, get access to custom content, grab exclusive virtual swag, and chat with real people.
In this video, we’ll give a quick introduction to Elasticsearch (the free and open, scalable, and highly-available search engine and datastore) and how it powers use cases like Enterprise Search, Observability, and Security.
We’ll demonstrate how the applications that power Elastic Observability (Logs, Metrics, APM, and Uptime) consolidate the event streams from your Kubernetes, cloud and physical infrastructure, Prometheus, and other CNCF projects and services with your application traces in a fast, scalable, and unified data store.
Learn how to spin up an Elastic Stack cluster with Elastic Cloud on Kubernetes (ECK), the official operator for orchestrating Elasticsearch on Kubernetes for day one, day two, and beyond.
A
I'd
like
to
take
the
next
few
minutes
to
tell
you
no
scratch
that
show
you
how
elastic
stack
and
the
kubernetes
world
play
together
and
don't
worry.
There
actually
is
virtual
swag.
First,
let's
start
with
the
basics.
Elasticsearch
is
a
free
and
open
data
store
and
search
engine
commonly
used
in
projects
where
speed
and
scale
are
crucial
from
powering
the
engine
that
connects
drivers
and
passengers
at
uber
to
helping
nasa
explore
questions
about
life
on
mars,
the
search
and
analytics
capabilities
of
the
elastic
stack
is
powering
mission.
Critical
applications
for
thousands
of
companies
globally.
A
Elasticsearch
is
the
heart
of
the
elastic
stack
and
serves
as
the
underpinnings
for
multiple
use
cases.
In
today's
always-on
world,
your
customers,
partners
and
team
members
need
to
find
things
think
about
it.
Most
user
experiences
start
with
a
search
box,
the
right
product,
relevant
support
information,
or
that
document
that
you
simply
can
never
remember.
The
name
of
that's
where
app
search
and
enterprise
search
come
in.
A
A
Our
world
has
become
even
more
virtual,
and
the
increasing
demand
for
software
is
also
causing
an
uptick
in
the
amount
of
infrastructure
needed
to
run
it
on
whether
that
infrastructure
is
self-managed
in
the
cloud
or
most
commonly
a
bit
of
both
along
with
the
endpoint
monitoring
mentioned
earlier.
It's
important
to
also
know
how
these
disparate
systems
are
performing
and
elastic.
A
A
If
you
decide
that
you
need
more
storage
or
want
to
span
more
availability
zones,
then
that's
just
a
few
clicks
away.
Picking
up
the
latest
and
greatest
features
is
also
easy.
With
the
latest
versions
available
the
day
they're
released.
If
you'd
prefer
to
manage
your
own
deployments,
you've
got
multiple
options.
You
can
download
the
elastic
stack
for
free
and
manage
it
yourself
if
you'll
be
provisioning
new
deployments
frequently
or
want
a
sas
experience.
Then
elastic
cloud
enterprise
provides
the
same
great
management
experience
as
the
elasticsearch
service
only
on
your
infrastructure.
A
A
The
official
operator
for
the
elastic
stack
in
kubernetes
is
a
great
option
for
running
elastic
products
on
kubernetes
eck
extends
kubernetes
orchestration
capabilities
to
support
the
setup
and
management
of
these
solutions
on
kubernetes,
not
just
for
day
one
operations,
but
also
day,
two
and
beyond,
I'm
going
to
jump
into
a
terminal
and
go
through
a
quick
demo
on
eck
to
show
you
what
I
mean,
I'm
basically
going
to
walk
through
the
steps
from
the
quick
start.
Docs
I'm
running
a
newly
installed
kubernetes
cluster
on
gke.
A
A
It's
echoing
out
the
assets
as
they're
loaded.
If
I
check
again,
we've
got
a
new
elastic
system,
namespace
and
the
elastic
operator.
Pod
is
all
that's
running
in
there
I'll
quickly
make
sure
it's
generating
logs
and
it
is
now.
Let's
stand
up
an
elastic
cluster,
I'm
just
going
to
use
the
defaults
directly
from
the
quick
start.
A
Now
the
provisioning
happens.
Asynchronously.
I
can
check
the
status
with
a
get
elasticsearch
command.
This
shows
that
the
health
is
not
yet
known
and
we
want
it
to
be
green.
I
can
use
a
selector
to
list
the
pods
in
my
quick
start
cluster,
as
we
can
see,
it's
still
starting
up.
Okay,
it
looks
like
it's
done
now,
and
the
health
is
green.
Let's
go
ahead
and
verify
connectivity
to
do
this.
We
need
the
password
that
was
generated
for
the
elastic
user
at
startup.
A
This
gets
stored
as
a
secret,
we'll
use
a
query
template
to
extract
and
decode
the
password
from
the
secret
and
stuff
it
into
an
environment
variable
as
well
as
in
my
max
clipboard,
to
use
later
to
reach
the
cluster.
I
need
a
tunnel
since
it's
running
remotely
on
my
gke
cluster,
and
now
I
can
just
use
a
curl
command
to
verify
the
connection.
A
It
turns
out
that
there's
a
newer
version
of
elasticsearch
and
a
one
known
cluster,
really
isn't
all
that
robust.
Let's
upgrade
it
to
7.8
and
move
to
three
nodes.
Instead,
this
time
I'll
just
run
a
little
loop
to
check
its
progress,
so
I
can
speed
it
up
in
post,
it's
going
to
upgrade
and
scale
and,
after
a
short
time,
I'm
back
to
all
green
now
with
three
healthy
nodes.
A
I
also
want
to
spin
up
a
cabana
instance
and
that's
similar
to
how
we
started
elastic
search.
We
can
monitor
this
like
the
last
one,
but
instead
with
a
cabana
selector
until
it
also
turns
green
okay,
now
that
it's
all
green,
we'll
set
up
another
tunnel
load,
kibana
and
log
in
with
the
password
we
got
earlier.
A
We
need
dynamic
monitoring
as
well
mixing
and
matching
static
monitoring
with
an
ever-changing
application
stack,
negates
that
goal
of
agility
and
hampers
evolution,
kubernetes
and
docker
provide
mechanisms
that
allow
you
to
add
metadata
to
your
application
stack.
These
hints
and
labels
allow
you
to
describe
the
jobs
when
deploying
or
scaling
applications
or
services.
A
This
metadata
is
also
a
perfect
way
to
trigger
automated
monitoring
for
new
or
changed
services
through
automatic
discovery
with
automatic
discovery.
Elastic's
lightweight
data
shippers
for
logs
metrics
and
availability,
filebeat,
metricbeat
and
heartbeat
can
automatically
start
monitoring
new
pods
containers
and
services
as
they
get
spun
up
or
scaled,
and
then
ship
logs
and
metrics
to
elasticsearch
elastic
has
integrations
to
gather
logs
and
metrics
for
many
services
and
formats.
A
A
Pulling
them
into
elasticsearch
allows
you
to
chart
them
alongside
your
other
metrics,
along
with
the
logs
and
metrics
from
your
infrastructure,
apps
and
services,
with
recently
added
support
for
promql
queries,
logs
and
metrics.
Let
you
see
what's
happening
at
points
in
time
for
even
more
visibility
of
your
full
stack.
You
can
enable
application
performance
monitoring.
A
Apm
lets
you
peek
inside
that
black
box
to
see
where
your
applications
are
spending
their
time
with
service
maps.
To
give
you
a
bird's
eye
view
of
how
your
services
are
interacting,
while
machine
learning
powered
health
indicators,
let
you
know
when
something's
wrong
once
you
learn
of
an
issue
whether
it
be
by
integrated
learning,
machine
learning
or
just
browsing
around,
you
can
start
investigating
and
drill
down
to
get
those
transaction
details,
not
seeing
any
errors.
A
A
The
elastic
stack
lets
you
work
where
and
how
you
want
to
with
multiple
deployment
options,
on-prem
in
the
cloud
self-hosted
or
as
a
managed
service.
Out-Of-The-Box
solutions
for
observability
security
and
enterprise
search
seamlessly,
combine
your
business
data
and
kpis
with
your
monitoring
data
for
all
your
services
in
a
single
unified
platform.