The document discusses the challenges of modern application monitoring and proposes a unified monitoring approach using AppDynamics. It notes that current monitoring tools often live in silos, lack context, and make it difficult to pinpoint the root cause of issues. A unified monitoring solution like AppDynamics breaks down these silos by providing a single view across infrastructure, applications and end users with situation-aware data and views. It aims to move organizations from reactive monitoring to more proactive approaches through intelligent anomaly detection, automatic runbook automation, and leveraging analytics to better understand patterns and trends.

1. Unified
Monitoring
with
AppDynamics
Dus$n
Whi*le
@AppDynamics

3. 52% of Fortune 500 firms
since 2000 are gone

4. Login
Flight Status
Search Flight
Purchase
Mobile
Big data
SOA
NOSQL
Cloud
Agile
Web
Application complexity is exploding

7. Up7me
is
cri7cal
for
enterprises
and
consumers

8. Performance
impacts
the
bo=om
line

9. How
fast
is
fast
enough?
§ Performance
is
key
to
a
great
user
experience
-­‐ Under
100ms
is
perceived
as
reac$ng
instantaneously
-­‐ A
100ms
to
300ms
delay
is
percep$ble
-­‐ 1
second
is
about
the
limit
for
the
user's
flow
of
thought
to
stay
uninterrupted
-­‐ Users
expect
a
site
to
load
in
2
seconds
-­‐ ADer
3
seconds,
40%
will
abandon
your
site.
-­‐ 10
seconds
is
about
the
limit
for
keeping
the
user's
a*en$on
§ Modern
applica7ons
spend
more
7me
in
the
browser
than
on
the
server-­‐side

10. Who
cares
about
performance?

14. How
many
enterprise
monitoring
products
would
you
es7mate
your
IT
org
owns?

15. The
war
room
response
team

16. The
problems
with
monitoring
tools
§ Root
cause
isola7on
is
elusive
as
monitoring
lives
in
silos
-­‐ Infrastructure
-­‐ Hardware
+
Logs
+
Network
+
Storage
+
Containers
+
VMs
-­‐ Applica$on
-­‐ Load
Balancers
+
Web
Servers
+
App
Servers
+
File
Servers
-­‐ Databases
+
Caches
+
Queues
+
Third
party
services
-­‐ End
Users
-­‐ CDN
-­‐ Web
+
Mobile
§ Metrics
lack
the
context
of
impact

17. Monitoring
lacks
the
business
context

18. The
struggle
of
modern
monitoring
§ Organiza7ons
focus
on
availability
+
raw
metrics
and
not
end
user
experience
/
impact
§ Complex
apps
built
on
micro-­‐services
in
containers
living
in
elas7c
cloud
environments
§ Too
many
graphs
from
too
many
metrics
-­‐ Understanding
the
signal
from
the
noise
is
difficult
-­‐ No
topology
awareness.
No
transac$onal
visibility.
No
root
cause.
§ Alert
storming
with
too
many
false
alarms
-­‐ Aler$ng
is
based
on
sta$c
thresholds
—
lacks
intelligent
anomaly
detec$on
+
correla$on
-­‐ Lack
of
historical
context
or
rela$onships
between
metrics
and
events
§ A
single
pane
of
glass
across
the
performance
stakeholders
-­‐ Not
able
to
quan$fy
the
impact
of
performance
degrada$on
—
Not
self-­‐service

20. Context
is
king:
Unified
Monitoring

21. Breaking
down
the
silos

25. Situa7on-­‐aware
data
and
views
Web Ops App
Owner
Server
Admin
DBA
IT Ops

31. Monitor
the
end
user
experience
§ Real
User
Monitoring
vs
Synthe7c
Monitoring
-­‐ Synthe$c
tests
provide
24/7
assurance
-­‐ RUM
provides
insights
into
actual
users
-­‐ Mobile
device
segmenta$on
-­‐ Unexpected
behavior/trends
§ Real
User
Monitoring
-­‐ Naviga$on
Timing
API
-­‐ Resource
Timing
API
-­‐ User
Timing
API
-­‐ Javascript
Errors

32. Metrics
+
logs
help,
but
intelligence
is
be=er

36. Moving
from
reac7ve
to
proac7ve
§ Resolving
before
the
red
=
fixing
in
the
yellow
-­‐ Automa$c
runbook
automa$on
integrates
with
your
devops
stack
§ Intelligent
anomaly
detec7on
across
end-­‐user,
applica7on,
database,
server
metrics
-­‐ Automa$cally
calculates
dynamic
baselines
for
all
of
your
metrics,
which,
based
on
actual
usage,
define
what
is
"normal"
for
each
metric
-­‐ Smart
aler$ng
based
on
any
devia$on
from
the
baselines
§ Understand
trends
and
pa=erns
in
failures
-­‐
automa7cally
learn
from
the
past
-­‐ Understand
what
are
the
most
impacaul
issues
to
resolve
-­‐ Ocen
$mes
external
services
are
the
root
cause
with
limited
visibility
-­‐ Enforce
SLAs

38. Moving
from
reac7ve
to
proac7ve
-­‐ Automa7c
discovery
of
environment
and
applica7on
changes
-­‐ New
APIs,
transac$ons,
services,
clouds
§ Leverage
analy7cs
to
be
smarter
about
using
the
data
you
already
have
-­‐ System
Logs,
Metrics
from
events
and
infrastructure
stats
-­‐ Transac$ons
with
request
parameters
+
User
state
from
cookies/sessions
§ Performance
monitoring
isn’t
just
about
the
tech
-­‐ Visibility
into
the
impact
of
business
-­‐
aler$ng
when
revenue
is
down

39. AppDynamics
leverages
and
embraces
open-­‐source

40. Leading
companies
invest
in
performance
§ Etsy
=
Kale
=
Statsd
+
Skyline
+
Oculus
(stats
collec$on
+
anomaly
detec$on/correla$on)
§ Nealix
=
PCP
+
Vector
+
Servo
+
Atlas
(dashboards,
data
collec$on,
root
cause
analysis)
§ Twi*er
=
Zipkin
(distributed
tracing)

41. Recommenda7ons
§ Treat
performance
as
a
feature
-­‐ Create
a
performance
budget
with
milestones,
speed
index,
page
speed
-­‐ Capacity
plan
and
load
test
the
server-­‐side
-­‐ Op$mize
and
performance
test
the
client-­‐side
§ Monitor
performance
in
development
and
produc7on
-­‐ Instrument
everything
-­‐ Measure
the
difference
of
every
change
-­‐ Understand
how
failures
impact
performance
§ Make
monitoring
cri7cal
and
test
in
your
con7nuous
delivery
process
§ Connect
the
exec/dev/ops
performance
perspec7ves
to
align
on
business
impact

42. Go
back
and
inves7gate
how
your
company
can
break
down
the
monitoring
silos
and
be
more
impac]ul
with
applica7on
intelligence.

43. Ques7ons?

44. Thank
you!
Enjoy
the
rest
of
Velocity
2015.

45. http://www.appdynamics.com/