Welcome!

SDN Journal Authors: ManageEngine IT Matters, Elizabeth White, Steven Lamb, Liz McMillan, John Basso

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.

@CloudExpo Stories
Keeping pace with advancements in software delivery processes and tooling is taxing even for the most proficient organizations. Point tools, platforms, open source and the increasing adoption of private and public cloud services requires strong engineering rigor – all in the face of developer demands to use the tools of choice. As Agile has settled in as a mainstream practice, now DevOps has emerged as the next wave to improve software delivery speed and output. To make DevOps work, organization...
"We've discovered that after shows 80% if leads that people get, 80% of the conversations end up on the show floor, meaning people forget about it, people forget who they talk to, people forget that there are actual business opportunities to be had here so we try to help out and keep the conversations going," explained Jeff Mesnik, Founder and President of ContentMX, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Let’s face it, embracing new storage technologies, capabilities and upgrading to new hardware often adds complexity and increases costs. In his session at 18th Cloud Expo, Seth Oxenhorn, Vice President of Business Development & Alliances at FalconStor, discussed how a truly heterogeneous software-defined storage approach can add value to legacy platforms and heterogeneous environments. The result reduces complexity, significantly lowers cost, and provides IT organizations with improved efficienc...
SYS-CON Events announced today that Isomorphic Software will exhibit at DevOps Summit at 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Isomorphic Software provides the SmartClient HTML5/AJAX platform, the most advanced technology for building rich, cutting-edge enterprise web applications for desktop and mobile. SmartClient combines the productivity and performance of traditional desktop software with the simp...
"When you think about the data center today, there's constant evolution, The evolution of the data center and the needs of the consumer of technology change, and they change constantly," stated Matt Kalmenson, VP of Sales, Service and Cloud Providers at Veeam 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.
Internet of @ThingsExpo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with the 19th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world and ThingsExpo Silicon Valley Call for Papers is now open.
The IoT is changing the way enterprises conduct business. In his session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, discussed how businesses can gain an edge over competitors by empowering consumers to take control through IoT. He cited examples such as a Washington, D.C.-based sports club that leveraged IoT and the cloud to develop a comprehensive booking system. He also highlighted how IoT can revitalize and restore outdated business models, making them profitable ...
In his session at @DevOpsSummit at 19th Cloud Expo, Yoseph Reuveni, Director of Software Engineering at Jet.com, will discuss Jet.com's journey into containerizing Microsoft-based technologies like C# and F# into Docker. He will talk about lessons learned and challenges faced, the Mono framework tryout and how they deployed everything into Azure cloud. Yoseph Reuveni is a technology leader with unique experience developing and running high throughput (over 1M tps) distributed systems with extre...
To leverage Continuous Delivery, enterprises must consider impacts that span functional silos, as well as applications that touch older, slower moving components. Managing the many dependencies can cause slowdowns. See how to achieve continuous delivery in the enterprise.
"delaPlex is a software development company. We do team-based outsourcing development," explained Mark Rivers, COO and Co-founder of delaPlex 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.
We all know the latest numbers: Gartner, Inc. forecasts that 6.4 billion connected things will be in use worldwide in 2016, up 30 percent from last year, and will reach 20.8 billion by 2020. We're rapidly approaching a data production of 40 zettabytes a day – more than we can every physically store, and exabytes and yottabytes are just around the corner. For many that’s a good sign, as data has been proven to equal money – IF it’s ingested, integrated, and analyzed fast enough. Without real-ti...
"There's a growing demand from users for things to be faster. When you think about all the transactions or interactions users will have with your product and everything that is between those transactions and interactions - what drives us at Catchpoint Systems is the idea to measure that and to analyze it," explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York Ci...
As companies gain momentum, the need to maintain high quality products can outstrip their development team’s bandwidth for QA. Building out a large QA team (whether in-house or outsourced) can slow down development and significantly increases costs. This eBook takes QA profiles from 5 companies who successfully scaled up production without building a large QA team and includes: What to consider when choosing CI/CD tools How culture and communication can make or break implementation
Actian Corporation has announced the latest version of the Actian Vector in Hadoop (VectorH) database, generally available at the end of July. VectorH is based on the same query engine that powers Actian Vector, which recently doubled the TPC-H benchmark record for non-clustered systems at the 3000GB scale factor (see tpc.org/3323). The ability to easily ingest information from different data sources and rapidly develop queries to make better business decisions is becoming increasingly importan...
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
Redis is not only the fastest database, but it is the most popular among the new wave of databases running in containers. Redis speeds up just about every data interaction between your users or operational systems. In his session at 19th Cloud Expo, Dave Nielsen, Developer Advocate, Redis Labs, will share the functions and data structures used to solve everyday use cases that are driving Redis' popularity.
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
Is your aging software platform suffering from technical debt while the market changes and demands new solutions at a faster clip? It’s a bold move, but you might consider walking away from your core platform and starting fresh. ReadyTalk did exactly that. In his General Session at 19th Cloud Expo, Michael Chambliss, Head of Engineering at ReadyTalk, will discuss why and how ReadyTalk diverted from healthy revenue and over a decade of audio conferencing product development to start an innovati...
"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.