Transcript

Secrets to Realistic

Load Testing

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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…

Survey

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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

ROI of Performance

Focus on the ROI of Performance

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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


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