This presentation discusses how the monitoring strategy has evolved given the changes in web applications and infrastructure. With the advent of public/private clouds and containers, the old paradigms of application instrumentation and infrastructure monitoring are no longer that relevant. The application landscape is also undergoing significant changes with monolith applications being split up into micro-services. Asynchronous programming has become an integral part of high-performance web applications. Finally, many of the companies today are “Mobile First” which means that the monitoring of apps in mobile devices has now become very important. To top it all, the release cycle has reduced drastically as part of “Iterate Fast and Release Often” philosophy. Learn how some of these changes should be taken into account while coming up with the monitoring strategy of your organization in the long run.

1. Intuit Confidential and Proprietary1
Envisioning Your Monitoring Strategy
Aveek Misra, Architect, Intuit
20-Jan-2016

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• What are some of the notable changes in the application
landscape today and how they impact monitoring of applications
• Why Mobile Monitoring is so important
• Different aspects of monitoring in an enterprise
• How have the monitoring solutions evolved and some of the
advanced techniques that are used today
Agenda

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Monitoring Microservices
The term “Microservice Architecture” has sprung up over the last few
years to describe a particular way of designing software applications as
suites of independent deployable services
-Martin Fowler

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How Complex Can a Microservice Architecture Get?
Loosely coupled service oriented architecture with bounded contexts
- Adrian Cockcroft
@Image Courtesy – Presentation by Adrian Cockcroft at Monitorama 2014

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Cloud vs Data Center

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Monitoring Asynchronous interactions
Asynchronous programming refers to a style of structuring a program
whereby a call to some unit of functionality triggers an action that is
allowed to continue outside of the ongoing flow of the program
-Rod Vagg in Nodesource Blog
@Image Courtesy - Presentation from Randy Bias in the DevOps Chicago Meetup

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Monitoring failures in fault tolerant systems
• In his excellent book “Release It”, Michael Nygard talks about the Circuit
Breaker pattern as a means to prevent cascading failure.
• Hystrix, an open source framework from Netflix deals with latency and
fault tolerance for distributed systems. It includes an implementation of
Circuit Breaker pattern
@Image Courtesy – www.github.com/Netflix/Hystrix/wiki/How-it-Works

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Continuous Deployment at Scale
@Image Courtesy – “How We Learned to Stop Worrying and Start Deploying the Netflix API Service” at Qcon
2015
• Companies like Netflix, Amazon, Google, LinkedIn, Etsy etc. deploy code
hundreds to thousands of times per day!!

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Monitoring Induced Failures
@Image Courtesy – AWS re:Invent presentation by Josh Evans, Netflix

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Monitoring Should be More Available Than Your
Systems!
@Image Courtesy – Presentation by Adrian Cockcroft at Monitorama 2014

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Why Mobile Monitoring is so Important
• The Pew Research Center reports that 92 percent of U.S. adults have a
cellphone of some kind
• Deloitte expects digital interactions to influence 64 cents of every dollar
spent in retail stores by the end of 2015
• Users have low tolerance for buggy apps – Only 16% will try a failing app
more than twice

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Monitoring Business Transactions
@Image Courtesy – www.appdynamics.com
• Monitoring the actual user transactions is far more impactful than just
monitoring the low level application and infrastructure metrics
• Business transaction metrics provide the much needed context for the
other metrics

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End User Experience Monitoring
@Image Courtesy – www.newrelic.com

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Why Synthetic Monitoring is Also Important
@Image Courtesy – www.rigor.com/blog/2014/12/benefits-using-rum-w-
synthetic

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Mobile Crash Reporting
@Image Courtesy – www.crittercism.com

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Techniques - Byte Code Instrumentation at Runtime

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Techniques - Runtime instrumentation using Trampolining

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Techniques - Using Lambda Architecture for Query
Optimization
@Image Courtesy – www.voltdb.com

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Techniques - Anomaly Detection using Baselines
@Image Courtesy – www.datadog.com

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Custom Analytics
@Image Courtesy – www.newrelic.com

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Advanced Incident Correlation
@Image Courtesy – www.moogsoft.com

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Thank You