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Mobile Analytics
mit Elasticsearch und Kibana
Dominik Helleberg
Speaker
Dominik Helleberg
Mobile Development
Android / Embedded
Tools
http://dominik-helleberg.de/+
Mobile Analytics
Warum?
Server
OS
Hardware
Runtime
Software
Client  
(Browser)
Backend
Server
OS
Hardware
Runtime
Software
Client  
(Browser)
Client  
(Browser)
Warum?
Server
OS
Hardware
Runtime
Software
Server
OS
Hardware
Runtime
Software
Warum?
Client
OS
Hardware
Runtime
Software
Backend
Client
OS
Hardware
Runtime
Software
Client
OS
Hardware
Runtime
Software
Was?
Crash Reporting
Logging
Analytics
Crash Reporting
E/AndroidRuntime(  1188):  Caused  by:  java.lang.RuntimeException:  CRASH
E/AndroidRuntime(  1188):   at  org.cirrus.mobi.pegel.c.b(Unknown  Source)
E/AndroidRuntime(  1188):   at  org.cirrus.mobi.pegel.SelectRiver.onStart(Unknown  Source)
E/AndroidRuntime(  1188):   at  android.app.Instrumentation.callActivityOnStart(Instrumentati
E/AndroidRuntime(  1188):   at  android.app.Activity.performStart(Activity.java:5018)
E/AndroidRuntime(  1188):   at  android.app.ActivityThread.performLaunchActivity(ActivityThre
E/AndroidRuntime(  1188):   ...  11  more
Crash Reporting
Crash Reporting
• Pro-aktive Benachrichtigung bei Crashes
• Nachvollziehbare Stacktraces
• Device / App und Umgebungs-Infos
• Optional: Nachricht vom Benutzer
• Statistische Analysen
Crash Reporting
Nachvollziehbare Stacktraces
E/AndroidRuntime(  1188):  Caused  by:  java.lang.RuntimeException:  CRASH
E/AndroidRuntime(  1188):   at  org.cirrus.mobi.pegel.c.b(Unknown  Source)
E/AndroidRuntime(  1188):   at  org.cirrus.mobi.pegel.SelectRiver.onStart(Unknown  Source)
E/AndroidRuntime(  1188):   at  android.app.Instrumentation.callActivityOnStart(Instrumentati
E/AndroidRuntime(  1188):   at  android.app.Activity.performStart(Activity.java:5018)
E/AndroidRuntime(  1188):   at  android.app.ActivityThread.performLaunchActivity(ActivityThre
E/AndroidRuntime(  1188):   ...  11  more
Exception  Type:  SIGSEGV  
Exception  Codes:  SEGV_ACCERR  at  0x13babeb8  
Crashed  Thread:  8  
Thread  8  Crashed:  
0  libobjc.A.dylib 0x0000000196f5bbd0  0x196f40000  113616  
1  CoreFoundation 0x0000000185369458  0x185364000  21592  
2  QuartzCore 0x000000018983cad8  0x189830000  51928  
3  QuartzCore 0x0000000189842aec  0x189830000  76524  
4  libobjc.A.dylib 0x0000000196f61724  0x196f40000  136996  
5  CoreFoundation 0x000000018536d074  0x185364000  36980  
6  Foundation  0x00000001862acffc  0x186298000  86012  
7  CFNetwork 0x0000000184ec9aac  0x184dac000  1170092….
Crash Reporting
Crash
reporter
DISTRIBUTION
PLATTFORM
dSYM
mapping
Mobile
Crash
reporter
App
Crash  
Analytics
Logging
reporter
Analytics
reporter
Crash Reporting
• App-Stores
• 3rd Party
• Custom inhouse
Crash Reporting
App  Stores
Crash Reporting
App  Stores
Crash Reporting
App  Stores
Crash Reporting
App  Stores
• No unified interface
• Internal betas
• Internal apps
• Limited to App-Store functionality
Crash Reporting
3rd Party    Solutions
Crash Reporting
3rd Party    Solutions
• Internal apps (if there’s internet access)
• Pricing
• Privacy
Crash Reporting
inhouse
Crash
reporter
DISTRIBUTION
PLATTFORM
dSYM
mapping
Mobile
Crash
reporter
App
Crash  
Analytics
Crash Reporting
inhouse
Crash
reporter
dSYM
mapping
Crash  Analytics
ReceiverStorageAnalytics  
+  
Alarming
Crash Reporting
inhouse
Crash Reporting
inhouse
Crash Reporting
inhouse
• Limited Analytics (Trends, queries, search
etc.)
• User Interface
• Fixed data-structures
• Custom stack
Crash Reporting – with ELK
inhouse 2.0
ELK?
https://pixabay.com/p-­145930/
Crash Reporting – with ELK
inhouse 2.0
Elasticsearch L
ogstash
K
ibana
Crash Reporting – with ELK
inhouse 2.0
L
ogstash
Crash Reporting – with ELK
inhouse 2.0
L
ogstash
“Logstash is  a  data  pipeline  that  
helps  you  process  logs and  other  
event  data from  a  variety  of  systems.  
With  165  plugins  and  counting,  
Logstash can  connect  to  a  variety  of  
sources  and  stream  data  at  scale  to  a  
central  analytics  system.”
https://www.elastic.co/products/logstash
Crash Reporting – with ELK
inhouse 2.0
L
ogstash
Logstash
Output
Plugins
Filter
Plugins
Input
Plugins
Crash Reporting – with ELK
inhouse 2.0
L
ogstash
Logstash
Output
Plugins
Filter
Plugins
Input
Plugins
(~40)
elasticsearch
eventlog
file
http
jdbc
kafka
jmx
log4j
tcp
twitter
syslog
rabbitMQ
redis
udp
zeromq
Crash Reporting – with ELK
inhouse 2.0
L
ogstash
Logstash
Output
Plugins
Filter
Plugins
(~40)
Input
Plugins
aggregate
anonymize
collate
csv
checksum
drop
dns
geoip
grok
extractnumbers
mutate
metrics
ruby
uuid
throttle
urldecode
translate
Crash Reporting – with ELK
inhouse 2.0
L
ogstash
Logstash
Output
Plugins
(~50)
Filter
Plugins
Input
Plugins
elasticsearch
csv
cloudwatch
datadog
email
file
g_c_s
hipchat
http
irc
jira
kafka
mongodb
nagios
pipe
s3
redmine
redis
sqs
tcp
rabbitmq
syslog
stdout
zabbix
Crash Reporting – with ELK
inhouse 2.0
L
ogstash
Logstash
Output
elastic
search
Filter
de-­‐obfuscate
(custom)
Input
HTTP
(json)
dSYM
mapping
Crash Reporting – with ELK
inhouse 2.0
E
lasticsearch
• Document  /  Data  Store  (JSON)
• RESTful API
• Uses  Lucene for  indexing
• Optimized  for  search  queries
• Easy  to  distribute  and  scale
• Auto-­Schema
• Easy  to  start  with
Crash Reporting – with ELK
inhouse 2.0
E
lasticsearch
Terms:
• Index
• Type
• Document
• Field
• Mapping
Crash Reporting – with ELK
inhouse 2.0
E
lasticsearch
Index:  
logstash-­‐%{platform}-­‐%{PACKAGE_NAME}-­‐%{+YYYY.MM.dd}
Type
“crash-­‐report”
Document
{  "APP_VERSION_NAME":  "1.3.2",        
"AVAILABLE_MEM_SIZE":  10004287488,        
"USER_APP_START_DATE":  "2015-­‐08-­‐27T13:37:59.000+02:00",        
"CUSTOM_DATA":  {},        
"BRAND":  "samsung“....
}
Crash Reporting – with ELK
inhouse 2.0
K
ibana
Kibana is  an  open  source  analytics and  visualization
platform  designed  to  work  with  Elasticsearch.  
You  use  Kibana to  search,  view,  and  interact with  data
stored  in  Elasticsearch indices.
You  can  easily  perform  advanced  data  analysis  and  
visualize  your  data  in  a  variety  of  charts,  tables,  and  
maps.
Kibana makes  it  easy  to  understand  large  volumes  of  
data.  Its  simple,  browser-­based  interface  enables  you  to  
quickly  create  and  share  dynamic  dashboards  that  
display  changes  to  Elasticsearch queries  in  real  time.
https://www.elastic.co/guide/en/kibana/current/introduction.html
Crash Reporting – with ELK
inhouse 2.0
K
ibana
Crash Reporting – with ELK
inhouse 2.0
Crash
Reporter
ACRA  
(Android)
QuincyKit
(iOS)
dSYM
mapping
Crash  Analytics
Logstashelastic
search
Kibana
Crash Reporting – with ELK
inhouse 2.0
Crash Reporting – with ELK
inhouse 2.0
Crash
Reporter
ACRA  
(Android)
QuincyKit
(iOS)
dSYM
mapping
Crash  Analytics
Logstashelastic
search
Kibana
Watcher
Kibana
Plugins  
(soon!)
Logging with ELK
Logging
Library
Remote  Logging
Logstashelastic
search
Kibana
Analytics
A  bit  more  complicated  then  crash  reporting  and  
logging…
Analytics
Analytics
Analytics
Analytics
Analytics
Analytics
Analytics with ELK
Analytics  Library
(userID,  
Session  
Tracking,  
PageViews)
Analytics
Logstashelastic
search
Kibana
Device  
Infos
Carrier
GeoIP
UserProfiles
Kibana-­‐
Plugins
(not  yet!)
ELK -> Getting started
Hosting:
elastic.co
google-­compute    
qbox
Define  index  strategy
Check  your  Schema
Changes  are  hard
.raw  vs.  analyzed  fields
Summary
ELK  Stack  seems  like  a  good  fit  for  mobile  analytics.
Kibana PlugIns will  help  with  missing  Features.
Logstash PlugIns and  Client  Side  Library  needed  in  
order  to  improve  Analytics  capabilities.
It  needs  a  bit  of  time  and  work  but  it  looks  promising.
Danke!
Danke!

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