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1. Build performance tests which will
model real user behavior on your site
2. Tie business metrics (ROI) to website
performance metrics and real user data
3. Correlate data analytics so you can
troubleshoot bottlenecks and improve
performance.
In this webinar you will learn to:
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Presenters
Craig Combs
Technical Director,
Performance Engineering
Mike Ostenberg
Solution Engineer
Moderator: Kathy Lam
Product Marketing
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How fast should your site be?
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Speed costs money…
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…and how much load should it handle?
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Your customers will be your guide…
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mPulse
How fast is my site?
What locations?
From where?
Which pages?
Which flows?
CloudTest
Full scale load
From any location
Going through
real user flows
With real-time
analytics
Real-Time Analytics with Real User Measurement
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• Tying Business Metrics to (ROI) with website
performance metrics and real user data
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Building performance tests that model user
behavior on your site
First you need to determine the workload for the test.
How are companies doing that today?
• Guessing.
• Logs.
• 3rd Party tools.
What if I have a new system?
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o What information I need?
● When is your peak second/minute/hour/day?
● What is your peak volume? (active sessions, unique users, page
visits, orders, ...)
● What is the median session length?
● What is the distribution of user paths?
● What is the distribution of devices?
● What is the distribution of locations?
o Good Test Data
● Search Terms
● Product Distribution
● Browse Distribution
● Cart Size
● Order Size
How to get a realistic load testFactors to consider
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Use real user data to model real user tests
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“What If” : Why we testPredict the future with mPulse!
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Sunburst charts shows the most common session
paths of real users
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Data Science Workbench Analyze mPulse beacons to build the RIGHT performance and load tests!
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Now you are ready to test
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Test how you want, when you want,
where you want
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1. Let your users help you determine your
performance goals
2. Tie business metrics, (conversion rates, length of
engagement, etc) to calculate costs of
performance vs revenue gain
3. Use data analytics to review site performance
data to isolate bottlenecks, which can guide your
performance investments
Summary
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Mike OstenbergDirector Solutions Engineering
Email: [email protected]
Craig CombsTechnical Director, PE
Email: [email protected]
Twitter: CCdiddy