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Herbalife Customer Presentation
1.
Copyright © 2016 Splunk Inc.
2.
2 Randy A. Miller Vice President, Development and Quality - Member Technology and Strategy
3.
3 Sonification? Sound of Herbalife’s Ecommerce
4.
4 My Company Overview • Heath and Wellbeing Products • My Team designs, develops and runs Herbalife’s global website and mobile applications. •
4 Datacenters, in 4 continents, 400+ servers serving 98 countries.
5.
5 My Background and Role • Development background. • Now lead dev, qa
and ops. • Favorite Splunk shirt – “Let my people know”.
6.
6 How We Got Started • Started with 10GB Splunk Cloud. • Got value in the first day. •
Increased our operational IQ tenfold. • Improved visibility and trust between teams.
7.
7 Before Splunk • Manual initiation of log capture. • Days to get logs, limited access by few team members. •
Often RCAs would be inconclusive due to effort and time.
8.
8 New Process Needed • Limited performance metrics for predictive sizing • Error resolution was a time-consuming, manual process. •
Hard to correlate events across devices and server • No historical data
9.
9 Finding Value With Splunk • Went from 10-50GB in 6 Months • Everyone can now see what before only Ops could see. This is HUGE! •
Major architecture upgrades go smooth and fast with Splunk. • Frequent daily releases, with low risk now.
10.
10 Production Visibility=Trust • Went from 4 architecture/operations guru’s to 250+ now • Now with more authorized users we’ve slashed MTTR from days or weeks to a mere minute •
Can backcheck logs for customer activity to verify claim legitimacy • Capturing web, SQL, app and Dev ALM logs.
11.
11 Slow Pages?
12.
12 What’s on the Load Balancer?
13.
13 Some Ways We Use Splunk • Now examining how different apps, deployments and versions can influence various real-time metrics and quality characteristics • Instrumented toolsets to journal data to the Splunk platform to show influence of infrastructure and application changes on behavior and production
14.
14 Which product has the least number of Errors?
15.
15 How Many Reports, How Big, What Type?
16.
16 Did that deployment make things better?
17.
17 Growing With Splunk • We’ve created a collaborative community of Splunk experts spanning multiple departments • Can manage millions of data points, understand server performance and monitor applications in a matter of moments, rather than weeks or months
18.
18 Top Takeaways • Expose as many people as possible to the Splunk interface • You’ll discover a lot of amazing things that you didn’t realize were happening. •
I love Splunk because it has the greatest coverage across many different technologies, platforms and appliances • It also has a very mature ecosystem and community
19.
19 Next Steps… • Now to move into machine learning for more automated anomaly detection and predictive infrastructure sizing • Dev Ops -
Real-time view of product/dev/qa/release events and trends
20.
20 Get a Good Night’s Sleep… “Think about the relevant questions you have and think about what data you can capture. Don't worry about the scale and the volume of the data. Splunk is great at sifting through all that for you” - Randy A. Miller
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Thank You
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