Welcome!

@DXWorldExpo Authors: Pat Romanski, Yeshim Deniz, Elizabeth White, Ed Featherston, Liz McMillan

Related Topics: @DXWorldExpo, Microservices Expo, Containers Expo Blog, Agile Computing, @CloudExpo, Apache

@DXWorldExpo: Article

Babies, Big Data, and IT Analytics

Machine learning is a topic that has gone from obscure niche to mainstream visibility over the last few years

Machine learning and IT analytics can be just as beneficial to IT operations as it is for monitoring vital signs of premature babies to identify danger signs too subtle or abnormal to be detected by a human. But an enterprise must be willing to implement monitoring and instrumentation that gathers data and incorporates business activity across organizational silos in order to get meaningful results from machine learning.

Machine learning is a topic that has gone from obscure niche to mainstream visibility over the last few years. High profile software companies like Splunk have tapped into the Big Data "explosion" to highlight the benefits of building systems that use algorithms and data to make decisions and evolve over time.

One recent article on machine learning on the O'Reilly Radar blog that caught my attention made a connection between web operations and medical care for premature infants. "Operations, machine learning, and premature babies" by Mike Loukides describes how machine learning is used to analyze data streamed from dozens of monitors connected to each baby. The algorithms are able to detect dangerous infections a full day before any symptoms are noticeable to a human.

An interesting point from the article is that the machine learning system is not looking for spikes or irregularities in the data; it is actually looking for the opposite. Babies who are about to become sick stop exhibiting the normal variations in vital signs shown by healthy babies. It takes a machine learning system to detect changes in behavior too subtle for a human to notice.

Mike Loukides then wonders whether machine learning can be applied to web operations. Typical performance monitoring focuses on thresholds to identify a problem. "But what if crossing a threshold isn't what indicates trouble, but the disappearance (or diminution) of some regular pattern?" Machine learning could identify symptoms that a human fails to identify because he's just looking for thresholds to be crossed.

Mike's conclusion sums up much of the state of the IT industry concerning machine learning:

At most enterprises, operations have not taken the next step. Operations staff doesn't have the resources (neither computational nor human) to apply machine intelligence to our problems. We'd have to capture all the data coming off our servers for extended periods, not just the server logs that we capture now, but any every kind of data we can collect: network data, environmental data, I/O subsystem data, you name it.

As someone who works for a company that applies a form of machine learning (Behavior Learning for predictive analytics) to IT operations and application performance management, I read this with great interest. I didn't necessarily disagree with his conclusion but tried to pull apart the reasoning behind why more companies aren't applying algorithms to their IT data to look for problems.

There are at least three requirements for companies who want to move ahead in this area:

1. Establish maturity of one's monitoring infrastructure. This is the most fundamental point. If you want to apply machine intelligence to IT operations then you need to first add instrumentation and monitoring. Numerous monitoring products and approaches abound but you have to get the data before you can analyze it.

2. Coordinate multiple enterprise silos. Modern IT applications are increasingly complex and may cross multiple enterprise silos such as server virtualization, network, databases, application development, and other middleware components. Enterprises must be willing to coordinate between these multiple groups in gathering monitoring data and performing cross-functional troubleshooting when there are performance or uptime issues.

3. Incorporate business activity monitoring (BAM). Business activity data provides the "vital signs" of a business. Examples of retail business activity data include number of units sold, total gross sales, and total net sales for a time period. Knowing the true business impact of an application performance problem requires the correlation of business data. When an outage occurred for 20 minutes, how many fewer units were sold? What was the reduction in gross and net sales?

An organization that can fulfill these requirements is capable of achieving real benefits in IT operations and can successfully apply analytics. Gartner has established the ITScore Maturity Model for determining one's sophistication in availability and performance monitoring. Here is the description for level 5, which is the top tier:

Behavior Learning engines, embedded knowledge, advanced correlation, trend analysis, pattern matching, and integrated IT and business data from sources such as BAM provide IT operations with the ability to dynamically manage the IT infrastructure in line with business policy.

Applying machine learning to IT operations isn't easy. Most enterprises don't do it because they need to overcome organizational inertia and gather data from multiple groups scattered throughout the enterprise. For the organizations willing to do this, however, they will see tangible business benefits. Just as a hospital could algorithmically detect the failing health of a premature infant, an enterprise willing to use machine learning will visibly see how abnormal problems within IT operations can impact revenue.

More Stories By Richard Park

Richard Park is Director of Product Management at Netuitive. He currently leads Netuitive's efforts to integrate with application performance and cloud monitoring solutions. He has nearly 20 years of experience in network security, database programming, and systems engineering. Some past jobs include product management at Sourcefire and Computer Associates, network engineering and security at Booz Allen Hamilton, and systems engineering at UUNET Technologies (now part of Verizon). Richard has an MS in Computer Science from Johns Hopkins, an MBA from Harvard Business School, and a BA in Social Studies from Harvard University.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


@BigDataExpo Stories
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
DXWorldEXPO LLC, the producer of the world's most influential technology conferences and trade shows has announced the 22nd International CloudEXPO | DXWorldEXPO "Early Bird Registration" is now open. Register for Full Conference "Gold Pass" ▸ Here (Expo Hall ▸ Here)
Join IBM November 1 at 21st Cloud Expo at the Santa Clara Convention Center in Santa Clara, CA, and learn how IBM Watson can bring cognitive services and AI to intelligent, unmanned systems. Cognitive analysis impacts today’s systems with unparalleled ability that were previously available only to manned, back-end operations. Thanks to cloud processing, IBM Watson can bring cognitive services and AI to intelligent, unmanned systems. Imagine a robot vacuum that becomes your personal assistant tha...
I think DevOps is now a rambunctious teenager - it's starting to get a mind of its own, wanting to get its own things but it still needs some adult supervision," explained Thomas Hooker, VP of marketing at CollabNet, in this SYS-CON.tv interview at DevOps Summit at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
"With Digital Experience Monitoring what used to be a simple visit to a web page has exploded into app on phones, data from social media feeds, competitive benchmarking - these are all components that are only available because of some type of digital asset," explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at DevOps Summit at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
The “Digital Era” is forcing us to engage with new methods to build, operate and maintain applications. This transformation also implies an evolution to more and more intelligent applications to better engage with the customers, while creating significant market differentiators. In both cases, the cloud has become a key enabler to embrace this digital revolution. So, moving to the cloud is no longer the question; the new questions are HOW and WHEN. To make this equation even more complex, most ...
"This week we're really focusing on scalability, asset preservation and how do you back up to the cloud and in the cloud with object storage, which is really a new way of attacking dealing with your file, your blocked data, where you put it and how you access it," stated Jeff Greenwald, Senior Director of Market Development at HGST, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Creating replica copies to tolerate a certain number of failures is easy, but very expensive at cloud-scale. Conventional RAID has lower overhead, but it is limited in the number of failures it can tolerate. And the management is like herding cats (overseeing capacity, rebuilds, migrations, and degraded performance). In his general session at 18th Cloud Expo, Scott Cleland, Senior Director of Product Marketing for the HGST Cloud Infrastructure Business Unit, discussed how a new approach is neces...
"ZeroStack is a startup in Silicon Valley. We're solving a very interesting problem around bringing public cloud convenience with private cloud control for enterprises and mid-size companies," explained Kamesh Pemmaraju, VP of Product Management at ZeroStack, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...
Agile has finally jumped the technology shark, expanding outside the software world. Enterprises are now increasingly adopting Agile practices across their organizations in order to successfully navigate the disruptive waters that threaten to drown them. In our quest for establishing change as a core competency in our organizations, this business-centric notion of Agile is an essential component of Agile Digital Transformation. In the years since the publication of the Agile Manifesto, the conn...
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
"Software-defined storage is a big problem in this industry because so many people have different definitions as they see fit to use it," stated Peter McCallum, VP of Datacenter Solutions at FalconStor Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Deep learning has been very successful in social sciences and specially areas where there is a lot of data. Trading is another field that can be viewed as social science with a lot of data. With the advent of Deep Learning and Big Data technologies for efficient computation, we are finally able to use the same methods in investment management as we would in face recognition or in making chat-bots. In his session at 20th Cloud Expo, Gaurav Chakravorty, co-founder and Head of Strategy Development ...
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, discussed the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
As organizations shift towards IT-as-a-service models, the need for managing and protecting data residing across physical, virtual, and now cloud environments grows with it. Commvault can ensure protection, access and E-Discovery of your data – whether in a private cloud, a Service Provider delivered public cloud, or a hybrid cloud environment – across the heterogeneous enterprise. In his general session at 18th Cloud Expo, Randy De Meno, Chief Technologist - Windows Products and Microsoft Part...
"Cloud computing is certainly changing how people consume storage, how they use it, and what they use it for. It's also making people rethink how they architect their environment," stated Brad Winett, Senior Technologist for DDN Storage, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
Detecting internal user threats in the Big Data eco-system is challenging and cumbersome. Many organizations monitor internal usage of the Big Data eco-system using a set of alerts. This is not a scalable process given the increase in the number of alerts with the accelerating growth in data volume and user base. Organizations are increasingly leveraging machine learning to monitor only those data elements that are sensitive and critical, autonomously establish monitoring policies, and to detect...
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settl...
In his session at @ThingsExpo, Dr. Robert Cohen, an economist and senior fellow at the Economic Strategy Institute, presented the findings of a series of six detailed case studies of how large corporations are implementing IoT. The session explored how IoT has improved their economic performance, had major impacts on business models and resulted in impressive ROIs. The companies covered span manufacturing and services firms. He also explored servicification, how manufacturing firms shift from se...