digital experience and transformation neiman marcus's journey … · 2018-03-12 · neiman...

#Perform2018

Digital experience and transformation

Neiman Marcus's journey into the cloud with Dynatracewith an AppMon mindset

Venkat Rayapudi

Neiman Marcus

#Perform2018

About NeimanMarcus

Five luxury retailers — Neiman Marcus,

Bergdorf Goodman, Last Call, Horchow

and mytheresa.com — make up the Neiman

Marcus Group.

Founded in 1907

42 Neiman Marcus stores across the

United States

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About NeimanMarcus

Two Bergdorf Goodman stores in Manhattan

29 Last Call clearance centers

3 Last Call Studios

Serving online customers including mobile

through ecommerce websites for the last

17 years

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Appmon Usage

Since 2012

Instrumented in Dev, Preprod and Production

Heavily used in identifying root cause analysis

Instrumented in Native apps

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What made us look for a different solution?

Digital Transformation

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APM Challenges of Digital Transformation

How to monitor Cloud Infrastructure?

How to monitor Auto scaling environment?

How to instrument Dynatrace?

How to monitor microservices running on docker?

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Where is my PurePath?!

Found it

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That‘s not my PurePath!

Why are they making it

so hard for me to find the

PurePath

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First Impressions on Dynatrace

Why cannot I put every

metric in dashboard like

AppMon?

Where are my Business

Transactions?

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First Impressions on Dynatrace

How can I trust

this artificial

intelligence?

What are these

service groups,

process groups

and tags?

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What happened next?

Started a POC

Instrumented in preprod environment

Did basic instrumentation and with no additional

configuration

Tested Dynatrace with various edge case testing

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Results

Auto instrumentation worked as advertised

Identified the root cause for all edge case scenarios

OOB Anomaly detection removed the overhead of

manual baselining

RUM metrics provided much more valuable information

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Information Technology

Moved to Production &

Where did Dynatrace excel for us?

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Information Technology

Operations Case

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Problem Detection: Rabbit MQ

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Problem Detection: Rabbit MQ

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Were surprissed that a metric

like this is automatically

covered by AI

Problem Detection: Retransmissions Errors

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Problem Detection: Retransmission Errors

Why do we need Dynatrace when you

have Amazon cloudwatch?

Does not provide process level monitoring

Need to build dashboards from scratch

Metrics are not stored in Artificial Intelligence engine

for anomaly detection

Does not have Deep dive monitoring capabilities

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Information Technology

Mean Time to Detection

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Problem Detection at this best

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Problem Detection at this best

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Identifying the root cause

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Identifying the root cause

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Information Technology

MTTD with Customer in Mind

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Javascript Errors

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Javascript Errors

Why use Dynatrace Synthetic when we have

Synthetic Classic?

Single view/portal

Ease of use. No dependency on Windows OS

Metrics integrated into the Real user monitoring view

Data collected into Artificial Intelligence engine

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Future roads

Pull the trigger on AppMon

Move out off Synthetic Classic

Plain Infrastructure agents to replace legacy

monitoring solutions

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Conclusion

Best APM solution in market

AI – works better than expected

Easier onboarding of apps for monitoring

MTTD faster than ever

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Thank you