Welcome!

Agile Computing Authors: Pat Romanski, Zakia Bouachraoui, Elizabeth White, William Schmarzo, Liz McMillan

Related Topics: @CloudExpo, Agile Computing

@CloudExpo: Article

Analytics for the Cloud

How Cloud and Big Data Trends Will Impact APM Analytics

“Big Data” is everywhere. What does it mean? Just as Cloud Computing burst onto the scene a few years ago, it depends on whom you ask.

Traditionally, in the Business Intelligence (BI) world, Big Data included analyzing historical business data from large data warehouse with the purpose of identifying long-term trends that could be leveraged in consumer business strategies. In recent years, Big Data has been a term talked about in the IT industry as an application of technology to attack extremely large, unstructured data sets that can reside both within and outside of an organization. If you look at a recent definition of Big Data, it is a term applied to data sets whose size has grown beyond the capability of commonly used software tools to capture, manage and analyze within a tolerable period of times for different use cases.

Application Performance Management (APM) is an extremely relevant use case and has a developing “Big Data” problem. Several factors are contributing to the explosive growth and type of data that must be analyzed and/or correlated in application performance monitoring and business service management (BSM).

First, the number of components that make up today’s mission critical applications has exploded. Instead of hundreds of servers for an application, nowadays, because of virtualization, you can easily be talking about thousands of virtual servers and objects for web applications.

Secondly, the diversity of data that people want to analyze to provide a holistic perspective has increased drastically. It is no longer good enough to simply understand traditional IT infrastructure performance based on server operating system, network traffic, and storage capacity. Application Performance analysis is now based on the relationships of IT infrastructure components, application performance metrics from applications and application servers, business activity monitors (BAM) data, customer experience monitors (CEM) and Real-User Monitoring (RUM). In addition to the aggregated transactional data, there are new systems that capture transactions’ actual path encompassing the entire application stack.

Finally, the requirements for analysis speed and data granularity have also increased significantly. Mission critical application performance now requires real-time or near real-time data analysis. When we were doing server availability and performance monitoring 10 years ago, it was the norm to collect and analyze data every 15 minutes. Today, this has evolved to data analysis every 5 minutes or less with sub-minute data collection where all transaction paths are collected for data analysis. When mapped out, it’s easy to see the enormous growth particularly when you look at APM related storage requirements that are quickly growing from gigabytes to terabytes and tomorrow petabytes.

All this data requires extremely complex analysis and correlation in order to truly understand performance of critical applications. One of Netuitive’s large enterprise customers reported that it monitors and correlates a billion infrastructure and application data points and business metrics daily as part of its global service delivery. This is what I am referring to as APM-generated Big Data. In addition to the shear number of data points, IT operators are expected to provide real-time analysis to the business and long-term storage for post-mortem analysis, capacity planning and compliance.

So where does this leads us? This is where APM and Big Data meet The Cloud. The cloud can deliver cheaper and more flexible storage and computing power crucial to analytics for Big Data. It also has the capability to be much more elastic for your APM data storage and analytics needs. Organizations can actually think about storing years of collected and aggregated APM data for compliance and analysis purposes without the cost being prohibitive.

But what does this mean to vendors in the APM space?

First of all, the analytics platform for APM data has to evolve to be able to process the growing number of different data sources across business, customer experience, applications and IT domains. Netuitive’s “Open” analytics platform is engineered to address virtually any data source in real-time.

Secondly, data storage and access time will be critical even as APM data volumes continue to explode, so not only does the technology need to be able to run in the cloud, but the traditional pull-based data collection architecture has to evolve into a push based model with an horizontally scalable computing and storage architecture in order to become virtually limitless in terms of scalability. This is critical for larger organizations as “real” time no longer means analysis every 5 to 15 minutes, but sub-minute analytics.

Lastly, because storage and computing costs should not significantly exceed the cost of analytics software for a solution to be viable, Netuitive is advancing its product architecture to leverage NoSQL columnar data store as a replacement to traditional database. Netuitive is also experimenting with a SaaS model for long-term time series data store and running its analytics software in the cloud.

While our R&D challenges are complex, the goal is simple: provide APM Analytics that matters by enabling our enterprise customers to process billions of infrastructure, application, and business metrics from hundreds of thousands of managed elements at 10x less cost than existing infrastructures.

I look forward to reporting on our progress. Check the blog for updates.

More Stories By Jean-François (JF) Huard

Jean-François (JF) Huard is Chief Technical Officer and Vice President of Research and Development at Netuitive, Inc. In this role he is responsible for leading the company’s vision and technology innovation effort. Previously, he worked in network control and management focusing on optimal flow control, decision-theoretic troubleshooting and game-theoretic bandwidth trading.

His current interest focus on IT analytics, APM analytics, cloud management and big data technologies.

Jean-François received his PhD (EE) from Columbia University, New York.

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.


IoT & Smart Cities Stories
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
IoT is rapidly becoming mainstream as more and more investments are made into the platforms and technology. As this movement continues to expand and gain momentum it creates a massive wall of noise that can be difficult to sift through. Unfortunately, this inevitably makes IoT less approachable for people to get started with and can hamper efforts to integrate this key technology into your own portfolio. There are so many connected products already in place today with many hundreds more on the h...
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
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...
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 settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...