20. Primer
Data
Points
Everyone
Should
Know
Unique
Requests
Time
Series
of
Requests
ConcentraZon
of
Request
Types
Origin
of
Requests
Quick
Averages
Cascading
Issues
Across
Logs
21. Combining
Other
Data
with
Log
Data
CorrelaZon
Root
Cause
InterpretaZon
CompleZon
of
Message
Full
Picture
Sequence
and
Timelines
22. Types
of
Data
We
Can
Get
LOGONOMICS:
The
Hidden
Side
of
Blackboard
Logs
49. What
We
Use
Logstash
Log
AggregaZon
Non-‐FuncZonal
Requirements
Event
NoZficaZon
IntegraZon
with
Zabbix
Kibana
Front-‐End
Redis
Inputs
&
Outputs
Indexing
50. Simple
Challenge
to
All
• Setup
Logstash
architecture
(All
Single
Node)
• Start
shipping
basic
log
files
– Apache
2.X
access
log
or
IIS
web
server
log
– Tomcat
Catalina
log
file
• Output
results
to
statsD
(Etsy
Project)
– Simple
Use
Case:
IncremenZng
HTTP
codes
(200,
300,
400)
• Visualize
statsD
data
with
Graphite
51. Bonus
Challenge
to
All
• Take
the
Vagrant
VM
and
integrate
Logstash
shipper
with
configuraZon
files.
• Add
Postgres
support
(Development
Only)
• Basic
syslog
funcZonality
for
CentOs
• Custom
Log
Interface
for
a
B2