Click here to close now.

Welcome!

Microservices Expo Authors: Plutora Blog, Pat Romanski, Carmen Gonzalez, Liz McMillan, Elizabeth White

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.

@MicroservicesExpo Stories
The last decade was about virtual machines, but the next one is about containers. Containers enable a service to run on any host at any time. Traditional tools are starting to show cracks because they were not designed for this level of application portability. Now is the time to look at new ways to deploy and manage applications at scale. In his session at 16th Cloud Expo, Jake Moshenko, Product Manager at CoreOS, examined how CoreOS + Quay.io fit into the development lifecycle from pushing gi...
SYS-CON Events announced today that Harbinger Systems will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Harbinger Systems is a global company providing software technology services. Since 1990, Harbinger has developed a strong customer base worldwide. Its customers include software product companies ranging from hi-tech start-ups in Silicon Valley to leading product companies in the US a...
17th Cloud Expo, taking place Nov 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA, 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. Meanwhile, 94% of enterprises ar...
The 17th International Cloud Expo has announced that its Call for Papers is open. 17th International Cloud Expo, to be held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA, brings together Cloud Computing, APM, APIs, Microservices, Security, Big Data, Internet of Things, DevOps and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding bu...
The 5th International DevOps Summit, co-located with 17th International Cloud Expo – being held November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA – announces that its Call for Papers is open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the ...
Containers have changed the mind of IT in DevOps. They enable developers to work with dev, test, stage and production environments identically. Containers provide the right abstraction for microservices and many cloud platforms have integrated them into deployment pipelines. DevOps and Containers together help companies to achieve their business goals faster and more effectively. In his session at DevOps Summit, Ruslan Synytsky, CEO and Co-founder of Jelastic, reviewed the current landscape of...
Data center models are changing. A variety of technical trends and business demands are forcing that change, most of them centered on the explosive growth of applications. That means, in turn, that the requirements for application delivery are changing. Certainly application delivery needs to be agile, not waterfall. It needs to deliver services in hours, not weeks or months. It needs to be more cost efficient. And more than anything else, it needs to be really, dc infra axisreally, super focus...
Discussions about cloud computing are evolving into discussions about enterprise IT in general. As enterprises increasingly migrate toward their own unique clouds, new issues such as the use of containers and microservices emerge to keep things interesting. In this Power Panel at 16th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists addressed the state of cloud computing today, and what enterprise IT professionals need to know about how the latest topics and trends affect t...
The most often asked question post-DevOps introduction is: “How do I get started?” There’s plenty of information on why DevOps is valid and important, but many managers still struggle with simple basics for how to initiate a DevOps program in their business. They struggle with issues related to current organizational inertia, the lack of experience on Continuous Integration/Delivery, understanding where DevOps will affect revenue and budget, etc. In their session at DevOps Summit, JP Morgenthal...
Containers are revolutionizing the way we deploy and maintain our infrastructures, but monitoring and troubleshooting in a containerized environment can still be painful and impractical. Understanding even basic resource usage is difficult – let alone tracking network connections or malicious activity. In his session at DevOps Summit, Gianluca Borello, Sr. Software Engineer at Sysdig, will cover the current state of the art for container monitoring and visibility, including pros / cons and liv...
Sharding has become a popular means of achieving scalability in application architectures in which read/write data separation is not only possible, but desirable to achieve new heights of concurrency. The premise is that by splitting up read and write duties, it is possible to get better overall performance at the cost of a slight delay in consistency. That is, it takes a bit of time to replicate changes initiated by a "write" to the read-only master database. It's eventually consistent, and it'...
DevOps Summit, taking place Nov 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 17th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development...
"Plutora provides release and testing environment capabilities to the enterprise," explained Dalibor Siroky, Director and Co-founder of Plutora, in this SYS-CON.tv interview at @DevOpsSummit, held June 9-11, 2015, at the Javits Center in New York City.
Overgrown applications have given way to modular applications, driven by the need to break larger problems into smaller problems. Similarly large monolithic development processes have been forced to be broken into smaller agile development cycles. Looking at trends in software development, microservices architectures meet the same demands. Additional benefits of microservices architectures are compartmentalization and a limited impact of service failure versus a complete software malfunction. ...
Explosive growth in connected devices. Enormous amounts of data for collection and analysis. Critical use of data for split-second decision making and actionable information. All three are factors in making the Internet of Things a reality. Yet, any one factor would have an IT organization pondering its infrastructure strategy. How should your organization enhance its IT framework to enable an Internet of Things implementation? In his session at @ThingsExpo, James Kirkland, Red Hat's Chief Arch...
IT data is typically silo'd by the various tools in place. Unifying all the log, metric and event data in one analytics platform stops finger pointing and provides the end-to-end correlation. Logs, metrics and custom event data can be joined to tell the holistic story of your software and operations. For example, users can correlate code deploys to system performance to application error codes. In his session at DevOps Summit, Michael Demmer, VP of Engineering at Jut, will discuss how this can...
This week we're attending SYS-CON Event's DevOps Summit in New York City. It's a great conference and energy behind DevOps is enormous. Thousands of attendees from every company you can imagine are focused on automation, the challenges of DevOps, and how to bring greater agility to software delivery. But, even with the energy behind DevOps there's something missing from the movement. For all the talk of deployment automation, continuous integration, and cloud infrastructure I'm still not se...
Manufacturing has widely adopted standardized and automated processes to create designs, build them, and maintain them through their life cycle. However, many modern manufacturing systems go beyond mechanized workflows to introduce empowered workers, flexible collaboration, and rapid iteration. Such behaviors also characterize open source software development and are at the heart of DevOps culture, processes, and tooling.
SYS-CON Events announced today that JFrog, maker of Artifactory, the popular Binary Repository Manager, will exhibit at SYS-CON's @DevOpsSummit Silicon Valley, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Based in California, Israel and France, founded by longtime field-experts, JFrog, creator of Artifactory and Bintray, has provided the market with the first Binary Repository solution and a software distribution social platform.
Conferences agendas. Event navigation. Specific tasks, like buying a house or getting a car loan. If you've installed an app for any of these things you've installed what's known as a "disposable mobile app" or DMA. Apps designed for a single use-case and with the expectation they'll be "thrown away" like brochures. Deleted until needed again. These apps are necessarily small, agile and highly volatile. Sometimes existing only for a short time - say to support an event like an election, the Wor...