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Splunk live! customer presentation – zoosk

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  • Found in 2007
  • Transcript

    • 1. Copyright © 2014 Splunk Inc. Splunk at Zoosk Dheeraj Khanna Sr. Director, Technical Operations
    • 2. About Zoosk Serving 27M Active Members Globally The Leader in Mobile Dating #1 Grossing App in Social Networking* on iTunes Top 20 Grossing App Overall The Only Global Online Dating Platform Available in 80 Countries Translated into 25 Languages Payments in 55 Currencies * U.S.
    • 3. Data Driven Recommendation Engines for Matching Consumers With What They Want Big Data is Changing Lives Entertainment Shopping Dating
    • 4. How Our Behavioral Matchmaking™ Engine Works A Smarter Way to Date Real-Time Matches a Person Is Likely to Be Mutually Attracted To Capture User Interaction Model User Behavior Suggest Matches Learn About User Messages Sent Messages Ignored Messages Responded To Clicks
    • 5. 5 My Background Happy Zoosker for last 18 months Active Splunker for 10+ years Needle, Haystack, Found I was raised in India yet I cannot stand spicy food
    • 6. 6 Technical Operations Charter 1. KTSR- Keep The Site Running 2. Scalability 3. Availability 4. Security
    • 7. 7 Before Splunk Decentralized Logging Lot of Silos- limited visibility between systems Tail different logs to identify issues Longer MTTR!
    • 8. 8 Our Splunk Story Started with 10GB License Limited visibility – license did not span all application servers Splunk initially used reactively as troubleshooting tool We were not using Splunk to its maximum potential!
    • 9. How does Splunk help me... Data-driven decisions across the enterprise Capacity Management Root cause analysis Proactive alerting User/Usage analytics Zoosk Releases Security and forensics
    • 10. 10 Splunk Design at Zoosk
    • 11. 11 Splunk at Zoosk Today 100 GB license 250 Splunk forwarders 3 Splunk clusters, 2 indexers/cluster Indexing all data – syslog and application logs Integrated to LDAP system, Ganglia and NAGIOS Apps: SoS, Deployment Monitor
    • 12. 12 What I Like about Splunk Reduce MTTR – Identify patterns from outliers – Resolution time lowered from hours to minutes Better reporting – Exec Dashboards – Proactive reports and Notifications Opex Savings Better PCI Compliance
    • 13. 13 Wish List .. Index usage – Difficult to discern accurate data –Splunk license usage app only provides estimates Restrictive server roles – Need a separate management server for cluster management
    • 14. 14 What’s Next: Security Data detection – Gathering instead of hunting Incident Response – Don’t chase the information, let it come to you Create a paradigm shift – Re-think the relationship between your systems, processes, and people – The traditional tools won’t save you
    • 15. 15 What’s Next Viability of Hadoop Connect at Zoosk Explore usage of Hunk Increase usage of Splunk as alerting platform(for OS specifically) Better usage of syslog data
    • 16. Thank You

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