GAINING APPLICATION LIFECYCLE INTELLIGENCE Applied Spring Track Today we are facing an ever-increasing speed of product delivery. DevOps practices like continuous integration and deployment increase the dependence of systems like task tracking and source code repositories with build servers and test suites. With data moving rapidly through these different tools, it becomes challenging to maintain a grasp of the process, especially as the data is distributed and in a variety of formats. But it is still critical to maintain full visibility of the product development journey – from user stories to production data. By starting at the beginning of the Product Development Lifecycle, you can track a problem in production all the way back to the code that was checked into the build and the developer responsible for the code. In this session I'll demonstrate some of the ways in which Splunk software can be used to collect and correlate data throughout the various stages of the lifecycle of your code, to ultimately make you more efficient and make your code better.

1. GAINING APPLICATION LIFECYCLE
INTELLIGENCE WITH SPLUNK
By Damien Dallimore , Dev Evangelist @ Splunk
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2. Who am I ?
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3. From Middle Earth
JVM background
Make things
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4. Unless otherwise indicated, these slides are © 2013-2014 Pivotal Sof tware, Inc. and licensed under a
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5. apps.splunk.com
github.com/damiendallimore
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6. Agenda
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7. Overview of Splunk and build a simple app
How Splunk can help in the Application Development Lifecycle
Various ways to get data into Splunk and demos
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8. Data Data Everywhere
VELOCITY
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VOLUME
VARIETY
VERACITY

9. How can Splunk help ?
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10. Spelunking
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11. Platform for machine data
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Developer
Platform
Splunk storage Other Big Data stores
Data collection
and indexing
Report
and
analyze
Custom
dashboards
Monitor
and alert
Ad hoc
search

12. Any amount, any location, any source.
Schema at read time, not write time
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Developer
Platform
Report
and
analyze
Custom
dashboards
Monitor
and alert
Ad hoc
search
Platform for machine data
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Splunk storage Other Big Data stores
Data
collection
and indexing
Data in any format
No RDBMS
Very Extensible

13. What Does Machine Data Look Like?
Order Processing
Middleware
Error
Care IVR
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Sources
Twitter

14. Machine Data Contains Critical Insights
Order Processing
Middleware
Error
Care IVR
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Customer ID Order ID
Customer’s Tweet
Time Waiting On Hold
Twitter ID
Product ID
Company’s Twitter ID
Sources
Twitter
Order ID Customer ID
Customer ID

15. Machine Data Contains Critical Insights
Order Processing
Middleware
Error
Care IVR
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Order ID
Customer’s Tweet
Time Waiting On Hold
Product ID
Company’s Twitter ID
Sources
Twitter
Order ID
Customer ID
Twitter ID
Customer ID
Customer ID

16. How are we best
going wrangle this
data ?
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17. Release the Developers
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18. Very Extensible Platform for Developers
Build Splunk Apps Extend and Integrate Splunk
Simple XML
JavaScript
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REST API
Django
Web
Framework
Java
JavaScript
Python
Ruby
C#
PHP
Data Models
Search
Extensibility
Modular Inputs
SDKs

19. Lets build something simple
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20. Simple Swarm App (ex Foursquare)
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Get my actual checkin data in via REST
Search over this data
Visualize

21. Application Lifecycle Data
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22. Application Development Challenges
Lack of visibility across the product
development lifecycle
Build
Unit Testing
Code
Pressure to increase velocity and
agility with DevOps
Limited insights into behavior and
Check-in
performance from application logs
Integration
Testing Deploy
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Staging
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23. Splunk for Application Lifecycle Intelligence
FIND AND FIX
ISSUES FASTER
Quickly trace and identify errors anywhere
in the codebase with real-time search
and monitoring
Instrument your app logs to gain
application intelligence
GAIN END-TO-END VISIBILITY
ACROSS THE DEV TOOL CHAIN
Break down dev tool silos with real-time
insights from machine data
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PUSH BETTER
CODE USING
ANALYTICS
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24. Real-time dashboards show error
rate in production and impact of
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pushing new builds
Developers can search and
visualize web logs, Java logs—
without production access
Alerts notify developers as soon as
a problem arises
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Find and Fix Issues Faster

25. Push Better Code Using Analytics
Gain end-to-end visibility to make
informed decisions
Analytics insights without the need
for additional analytics tools
Ask questions while exploring and
collecting data
void submitPurchase(purchaseId)
{
log.info("action=submitPurchaseSt
art, purchaseId=%d", purchaseId)
//these calls throw an exception on error
submitToCreditCard(...)
generateInvoice(...)
generateFullfillmentOrder(...)
log.info("action=submitPurchaseCo
mpleted, purchaseId=%d", purchaseId)
}
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26. End-To-End Visibility Across The Dev Tool Chain
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CI / Build
Servers
Project and
Issue Tracking
Code
Repository
QA / Testing
Tools
Deployment
Servers

27. App Development Lifecycle Demo
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28. Getting your data into Splunk
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29. Log Data
Log Files
Splunk Logging Appenders
Coding
Splunk Java SDK
Splunk Spring Integration Adaptors
JMX
Messaging
JMS
AMQP w/Rabbit
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30. Log Data
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31. Standard Log Files
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Oct 21, 2013 4:42:15 PM org.apache.catalina.startup.Catalina load
INFO: Initialization processed in 1153 ms
Oct 21, 2013 4:42:15 PM org.apache.catalina.core.StandardService startInternal
INFO: Starting service Catalina
Application logs that are part of the product
Developer logs for any code that was deployed
Written to local disk or network storage

32. Structured and Unstructured Data
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Ideally events are in a best practice semantic format
key=value format , JSON
You can perform index time and search time extractions in Splunk

33. Logging best practices
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Clearly timestamp every event , human readable at beginning of line
Log in text , binary needs decoding
Categorize – Use INFO, WARN, ERROR, DEBUG, Event type etc...
Log unique identifiers
Log anything that can add value when aggregated, charted or further
2012-08-07 15:54:06:644+1200 name="Failed Login" event_id="someID" app="myapp" user="jane" somefieldname="foobar"

34. SplunkJavaLogging
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Sometimes you can’t write to file
Appenders for Java Util Logging , Log4J , Logback
Simply add a logging appender to your logging configuration
file

35. LogBack Appender Example
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36. Code
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37. Better Exception Logging
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38. Easier to work with in Splunk
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39. Coding
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40. Splunk SDK for Java
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Use the SDK from any JVM Language , Java / Groovy / Scala etc….
Send log events via REST , UDP or TCP directly to Splunk from your
code
Search over data in Splunk
SDK available from dev.splunk.com

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42. Spring Integration Adaptors
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Inbound Adapter
Used to execute Splunk searches and get data out
Outbound Adapter
Write data to Splunk via REST, TCP , UDP
Write to a named index, submit a REST request, write to a data input bound
to a server TCP port
Get the code on Github

43. Inbound Adaptor
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44. Outbound Adaptor
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45. JMX
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46. What is JMX
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JMX = Java Management Extensions
Monitor JVM via MBean attributes , operations and
notifications
JVM MBeans
Vendor MBeans
Custom Coded MBeans

47. Getting this data into Splunk
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Runs on all supported Splunk platforms
Works with all main JVM variants
100% Free and Open Source

48. Simple to Configure
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49. Many Connectivity Options
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50. Messaging
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51. JMS
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Not a messaging protocol , but a programming interface to many
different underlying message providers
WebsphereMQ , Tibco EMS , ActiveMQ , HornetQ , SonicMQ etc…

52. AMQP
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Built with Rabbit Java Client Library
AMQP 0.9.1, 0.9, 0.8

53. But wait , there’s more…..
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54. Poll data from any REST API
Pull data directly off the wire
Capture output from executing any commands
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55. Closer look at capturing command output
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Let’s see what the host Operating System can tell us : top
External programs that provide additional JVM insights : jstat
Index this data in Splunk and correlate

56. top
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58. jstat
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61. Splunk options galore
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Splunk> Enterprise : Free to download and use. Index 500 MB/day.
Splunk> Cloud : Premium, cloud hosted. Full Enterprise stack.100% uptime.
Splunk> AMI : BYOL versions for Amazon AWS Cloud.
Splunk> Sandbox : Spin up a cloud instance in minutes.Load in data.
Hunk> : Splunk for data in Hadoop HDFS , MongoDB

62. More Info
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Splunk Docs , Downloads , Vids : http://www.splunk.com
Download Splunk Apps : http://apps.splunk.com
Ask : http://answers.splunk.com
Watch the App Dev / Devops Video : http://www.splunk.com/goto/appdev
Splunk Developer Platform : http://dev.splunk.com
Splunk on Github : https://github.com/splunk

63. Thankyou.
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64. Questions ?
@damiendallimore
ddallimore@splunk.com
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