Welcome!

Related Topics: @BigDataExpo, Java IoT, Microservices Expo, Microsoft Cloud

@BigDataExpo: Article

Detecting Anomalies that Matter!

Like needles in a haystack

As Netuitive's Chief Data Scientist, I am fortunate to work closely with some of the worlds' largest banks, telcos, and eCommerce companies. Increasingly the executives that I speak with at these companies are no longer focused on just detecting application performance anomalies - they want to understand the impact this has on the business.  For example - "is the current slowdown in the payment service impacting sales?"

You can think of it as detecting IT operations anomalies that really matter - but this is easier said than done.

Like Needles in a Haystack
When it comes to IT analytics, there is a general notion that the more monitoring data you are able to consume, analyze, and correlate, the more accurate your results will be. Just pile all that infrastructure, application performance, and business metric data together and good things are bound to happen, right?

Larger organizations typically have access to voluminous data being generated from dozens of monitoring tools that are tracking thousands of infrastructure and application components.  At the same time, these companies often track hundreds of business metrics using a totally different set of tools.

The problem is that, collectively, these monitoring tools do not communicate with each other.  Not only is it hard to get holistic visibility into the performance and health of a particular business service, it's even harder to discover complex anomalies that have business impact.

Anomalies are Like Snowflakes
Compounding the challenge is the fact that no two anomalies are alike.  Anomalies that matter have multiple facets.  They reflect a composite behavior of many layers of interacting and inter-dependent components.  Additionally, they can be cleverly disguised or hidden in a haze of visible but insignificant noise.  No matter how many graphs and charts you display on the largest LCD monitor you can find - the type of scalable real-time analysis required to find and expose what's important is humanly impossible.

Enter IT Operations Analytics
Analytics such as statistical machine learning allow us to understand the "normal" behavior of each resource we are tracking - be it a single IT component, web service, application, or business process. Additional algorithms help us find patterns and correlations between the thousands of IT and business metrics that matter in a critical service.

The Shift Towards IT Operations Analytics is Already Happening
This is not about the future.  It's about what companies are doing today.

Several years ago thought-leading enterprises (primarily large banks with critical revenue driving services) began experimenting with a new breed of IT analytics platform. These companies' electronic and web facing businesses had so much revenue (and reputation) at stake that they needed to find the anomalies that matter -- the ones that were truly indicative of current or impending problems.

Starting with an almost "blank slate", these forward-thinking companies began developing open IT analytics platforms that easily integrated any type of data source in real time to provide a comprehensive view of patterns and relationships between IT infrastructure and business service performance. This was only possible with technologies that leveraged sophisticated data integration, knowledge modeling, and analytics to discover and capture the unique behavior of complex business services.  Anything less would fail, because, like snowflakes, no two anomalies are alike.

The Continuous Need for Algorithm Research
The online banking system at one bank is different than the online system at the next bank.  And the transaction slowdown that occurred last week may have a totally different root cause than the one two months ago.  Even more interesting are external factors such as seasonality and its effects on demand.  For example, payment companies see increased workload around holidays such as Thanksgiving and Mother's Day whereas gaming/betting companies' demand is driven more by factors such as the NFL Playoffs or the World Series.

For this reason, analytics research is an ongoing endeavor at Netuitive - part driven by customer needs and in part by advances in technology.   Once Netuitive technology is installed in an enterprise and integrating data collected across multiple layers in the service stack, behavior learning begins immediately.  As time passes, the statistical algorithms have more observations to feed their results and this leads to increasing confidence in both anomalies detected and proactive forecasts.  Additionally, customer domain knowledge can be layered in to Netuitive's real-time analysis in the form of knowledge bases and supervised learning algorithms.  The Research Group at Netuitive works closely with our Professional Services Group as well as directly with customers to regularly review actual delivered alarm quality to tune the algorithms that we have as well as identify new algorithms that would deliver greater value in an actionable timeframe.

Since Netuitive's software architecture allows for "pluggable" algorithms, we can incrementally introduce new analytics capabilities easily, at first in an experimental or laboratory setting and ultimately, once verified, into production.

The IT operations management market has matured over the past two decades to the point that most critical components are well instrumented.  The data is there and mainstream IT organizations (not just visionary early adopters) realize that analytics deliver measurable and tangible value.   My vision and challenge is to get our platform to the point where customers can easily customize the algorithms on their own, as their needs and IT infrastructure evolve over time.  This is where platforms need to get to because of the endless variety of ways that enterprises must discover and remediate "anomalies that matter".

Stay tuned.  In an upcoming blog I will drill down on some specific industry examples of algorithms we developed as part of some large enterprise IT analytic platform solutions.

More Stories By Elizabeth A. Nichols, Ph.D

As Chief Data Scientist for Netuitive, Elizabeth A. Nichols, Ph.D. leads development of algorithms, models, and analytics. This includes both enriching the company’s current portfolio as well as developing new analytics to support current and emerging technologies and IT-dependent business services across multiple industry sectors.

Previously, Dr. Nichols co-founded PlexLogic, a provider of open analytics services for quantitative data analysis, risk modeling and data visualization. In her role as CTO and Chief Data Scientist, she developed a cloud platform for collecting, cleansing and correlating data from heterogeneous sources, computing metrics, applying algorithms and models, and visualizing results. Prior to Plexlogic, Dr. Nichols co-founded and served as CTO for ClearPoint Metrics, a security metrics software platform that was eventually sold to nCircle. Prior to ClearPoint Metrics, Dr. Nichols served in technical advisory and leadership positions at CA, Legent Corp, BladeLogic, and Digital Analysis Corp. At CA, she was VP of Research and Development and Lead Architect for agent instrumentation and analytics for CA Unicenter. After receiving a Ph.D. in Mathematics from Duke University, she began her career as an operations research analyst developing war gaming models for the US Army.

Latest Stories
SYS-CON Events announced today that Hitachi Data Systems, a wholly owned subsidiary of Hitachi LTD., will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City. Hitachi Data Systems (HDS) will be featuring the Hitachi Content Platform (HCP) portfolio. This is the industry’s only offering that allows organizations to bring together object storage, file sync and share, cloud storage gateways, and sophisticated search an...
DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm.
@GonzalezCarmen has been ranked the Number One Influencer and @ThingsExpo has been named the Number One Brand in the “M2M 2016: Top 100 Influencers and Brands” by Analytic. Onalytica analyzed tweets over the last 6 months mentioning the keywords M2M OR “Machine to Machine.” They then identified the top 100 most influential brands and individuals leading the discussion on Twitter.
All organizations that did not originate this moment have a pre-existing culture as well as legacy technology and processes that can be more or less amenable to DevOps implementation. That organizational culture is influenced by the personalities and management styles of Executive Management, the wider culture in which the organization is situated, and the personalities of key team members at all levels of the organization. This culture and entrenched interests usually throw a wrench in the work...
SYS-CON Events announced today that T-Mobile will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. As America's Un-carrier, T-Mobile US, Inc., is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The Company's advanced nationwide 4G LTE network delivers outstanding wireless experiences to 67.4 million customers who are unwilling to compromise on ...
In his keynote at 19th Cloud Expo, Sheng Liang, co-founder and CEO of Rancher Labs, discussed the technological advances and new business opportunities created by the rapid adoption of containers. With the success of Amazon Web Services (AWS) and various open source technologies used to build private clouds, cloud computing has become an essential component of IT strategy. However, users continue to face challenges in implementing clouds, as older technologies evolve and newer ones like Docker c...
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo | @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
20th Cloud Expo, taking place June 6-8, 2017, at the Javits Center in New York City, NY, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy.
Building a cross-cloud operational model can be a daunting task. Per-cloud silos are not the answer, but neither is a fully generic abstraction plane that strips out capabilities unique to a particular provider. In his session at 20th Cloud Expo, Chris Wolf, VP & Chief Technology Officer, Global Field & Industry at VMware, will discuss how successful organizations approach cloud operations and management, with insights into where operations should be centralized and when it’s best to decentraliz...
Data is an unusual currency; it is not restricted by the same transactional limitations as money or people. In fact, the more that you leverage your data across multiple business use cases, the more valuable it becomes to the organization. And the same can be said about the organization’s analytics. In his session at 19th Cloud Expo, Bill Schmarzo, CTO for the Big Data Practice at Dell EMC, introduced a methodology for capturing, enriching and sharing data (and analytics) across the organization...
Five years ago development was seen as a dead-end career, now it’s anything but – with an explosion in mobile and IoT initiatives increasing the demand for skilled engineers. But apart from having a ready supply of great coders, what constitutes true ‘DevOps Royalty’? It’ll be the ability to craft resilient architectures, supportability, security everywhere across the software lifecycle. In his keynote at @DevOpsSummit at 20th Cloud Expo, Jeffrey Scheaffer, GM and SVP, Continuous Delivery Busine...
With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo 2016 in New York. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be! Internet of @ThingsExpo, taking place June 6-8, 2017, at the Javits Center in New York City, New York, is co-located with 20th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry p...
SYS-CON Events announced today that Progress, a global leader in application development, has been named “Bronze Sponsor” of SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Enterprises today are rapidly adopting the cloud, while continuing to retain business-critical/sensitive data inside the firewall. This is creating two separate data silos – one inside the firewall and the other outside the firewall. Cloud ISVs oft...
SYS-CON Events announced today that Juniper Networks (NYSE: JNPR), an industry leader in automated, scalable and secure networks, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Juniper Networks challenges the status quo with products, solutions and services that transform the economics of networking. The company co-innovates with customers and partners to deliver automated, scalable and secure network...
In recent years, containers have taken the world by storm. Companies of all sizes and industries have realized the massive benefits of containers, such as unprecedented mobility, higher hardware utilization, and increased flexibility and agility; however, many containers today are non-persistent. Containers without persistence miss out on many benefits, and in many cases simply pass the responsibility of persistence onto other infrastructure, adding additional complexity.