1) Zoosk is a global online dating platform serving 27 million active members across 80 countries. They use big data and behavioral matching algorithms to suggest matches for users.
2) The presenter works as the Sr. Director of Technical Operations at Zoosk and has been using Splunk for over 10 years to keep their site running, improve scalability, availability, and security.
3) Splunk has helped Zoosk gain better visibility into their decentralized logs, reduce troubleshooting time, enable better reporting, and improve their PCI compliance through centralized logging and monitoring with Splunk.
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
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
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