Splunk live! customer presentation – zoosk

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  • Found in 2007
  • Splunk live! customer presentation – zoosk

    1. 1. Copyright © 2014 Splunk Inc. Splunk at Zoosk Dheeraj Khanna Sr. Director, Technical Operations
    2. 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. 3. Data Driven Recommendation Engines for Matching Consumers With What They Want Big Data is Changing Lives Entertainment Shopping Dating
    4. 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. 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. 6 Technical Operations Charter 1. KTSR- Keep The Site Running 2. Scalability 3. Availability 4. Security
    7. 7. 7 Before Splunk Decentralized Logging Lot of Silos- limited visibility between systems Tail different logs to identify issues Longer MTTR!
    8. 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. 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. 10 Splunk Design at Zoosk
    11. 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. 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. 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. 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. 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. 16. Thank You

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