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Joseph Lee

joseph.lee@dynatrace.com #Dynatrace

Deep Insight and Collaboration in the CloudApplication Performance Management

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Insert backdrop image

This is Dynatrace:

• Digital Performance Market Leader

• Leading Customer Sat

• Largest expertise in Digital Performance

6,000+ CustomersIncluding: 17 of the top 20 Online retailers9 of the top 10 US Banks

Gartner Market Share Customer Sat score R & D Technical Experts

#1 90% 750

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Dynatrace ASEAN CustomersMedia and Education

Government Financial Services

Telecoms Retail &

Travel

Others

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http://www.computerworld.com.sg/resource/cloud-computing/ida-signs-3-year-partnership-with-dynatrace/

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Time

Complexity/ Expectations

Visibility/ Control

•App Speed / Delivery

• Innovation• Identify / Prioritize

Why APM?Stay ahead of complexity and rising expectationsWhy APM?Stay ahead of complexity and rising expectations

MinimiseVisibility Gap

/GUESSWORK!

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Traditional Monitoring Approach: IT PerspectiveTraditional Monitoring Approach: IT Perspective

CPU >85% spike

Is this GOOD or BAD?

What would you do?

CPU <25%

Is this GOOD or BAD?

Actionable?

Page load time: <2s

Page load time: >20s

WHAT IF …..?

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Complete application visibility to address your performance issues.

• The FIRST step is to know your User Experience and then optimize your apps.

• The SECOND step is “Scaling”, which can enhance your application performance to meet the unknowns.

What is actually needed…

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From End-User Experience…From End-User Experience…

Understand customers’ experience around the region

Quantify and breakdown usersCapture demographics info

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IT Enterprise Visibility is ParamountIT Enterprise Visibility is Paramount

Understanding complex interactions between various entities empowers IT & business

Visualise the Transaction Flow - Automatically

From User click to Database

Response TimeProcess Health

System Health

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Deep-dive if required; Down to code level…Deep-dive if required; Down to code level…

Quickly identify failing services

No hunting through logs

Determine causes of FAILURE in real-time

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A Customer Story

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Back Story - XYZ• Provides SaaS based Multi-Tenant

Services on Cloud

• Application hosted in Amazon’s EC2 Cloud

• Customer Satisfaction is very important

• Monitor all services from End User & Server Side perspective

The Incident

After one deployment, ALERT was triggered to inform the operations team that user experience was degrading…

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Worldwide Distribution of End User Experience

RED Circle means frustrated users

On Average, < 1 sec Response Time

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Complete Application Flow

Half a million transactions flowing across the entire system

On Average, each Server handles Service Request very FAST

Time to look at the specific problematic

service request and not Average

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High Level Performance Dashboard

A specific Service Request Is way OFF the Chart

CPU of one of their Serversis exhausted

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Detailed Performance Triage

CPU is exhausted by“XML/XSL” processing related to

Document Request Function

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So which User is Impacted by this?

The exact “CLICK” which wasimpacted

From ½ a Million requests,We focused now on just 1 Request

My FRUSTRATED Users

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What happen from that 1 REQUEST…

60% of time Spend on Document Request Service

Multiple Read Requests to DRS

AWS ElasticCache NOT Caching?

There was no problem with the cache; it simply was not being used!

Development team started looking into it at the code level and

could identify a problem with the cache client library

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• The customer was able identify a problem in production which had a big

end-user impact, although the average transaction was still considered fast.

• The operations team could identify exactly which users were impacted and be proactive in their customer support.

• More importantly the application team was able to identify the real root cause in one third-party component while avoiding a lengthy back and forth with (Amazon ElastiCache) which would have been futile.

Conclusion

And all of this in a public globally distributed multi-tenant cloud application!

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Take us for a Test Drive Today

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