Welcome!

Related Topics: @ThingsExpo, Java IoT, Linux Containers, @CloudExpo, @BigDataExpo, @DevOpsSummit

@ThingsExpo: Blog Post

Cloud, Internet of Things and Big Operational Data | @ThingsExpo [#IoT]

The Internet of Things is only going to make that even more challenging as businesses turn to new business models and services

Cloud and Things and Big Operational Data

Software-defined architectures are critical for achieving the right mix of efficiency and scale needed to meet the challenges that will come with the Internet of Things

If you've been living under a rock (or rack in the data center) you might not have noticed the explosive growth of technologies and architectures designed to address emerging challenges with scaling data centers. Whether considering the operational aspects (devops) or technical components (SDN, SDDC, Cloud), software-defined architectures are the future enabler of business, fueled by the increasing demand for applications.

The Internet of Things is only going to make that even more challenging as businesses turn to new business models and services fueled by a converging digital-physical world. Applications, whether focused on licensing, provisioning, managing or storing data for these "things" will increase the already significant burden on IT as a whole. The inability to scale from an operational perspective is really what software-defined architectures are attempting to solve by operationalizing the network to shift the burden of provisioning and management from people to technology.

But it's more than just API-enabling switches, routers, ADCs and other infrastructure components. While this is a necessary capability to ensure the operational scalability of modern data centers, what's really necessary to achieve the next "level" is collaboration.

That means infrastructure integration.

it is one thing to be able to automatically provision the network, compute and storage resources necessary to scale to meet the availability and performance expectations of users and businesses alike. But that's the last step in the process. Actually performing the provisioning is the action that's taken after it's determined not only that it's necessary, but where it's necessary.

Workloads (and I hate that term but it's at least somewhat universally understood so I'll acquiesce to using it for now) have varying characteristics with respect to the compute, network and storage they require to perform optimally. That's means provisioning a "workload" in a VM with characteristics that do not match the requirements is necessarily going to impact its performance or load capability. If one is making assumptions regarding the number of users a given application can support, and it's provisioned with a resource profile that impacts that support, it can lead to degrading performance or availability.

What that means is the systems responsible for provisioning "workloads" must be able to match resource requirements with the workload, as well as understand current (and predicted) demand in terms of users, connections and network consumption rates.

Data, is the key. Measurements of performance, rates of queries, number of users, and the resulting impact on the workload must be captured. But more than that, it must be shared with the systems responsible for provisioning and scaling the workloads.

Location Matters

This is not a new concept, that we should be able to share data across systems and services to ensure the best fit for provisioning and seamless scale demanded of modern architectures. A 2007 SIGMOD paper, "Automated and On-Demand Provisioning of Virtual Machines for Database Applications" as well as a 2010 IEEE paper, "Dynamic Provisioning Modeling for Virtualized Multi-tier Applications in Cloud Data Center" discuss the need for such provisioning models and the resulting architectures rely heavily on the collaboration of the data center components responsible for measuring, managing and provisioning workloads in cloud computing environments through integration.

The location of a workload, you see, matters. Not location as in "on-premise" or "off-premise", though that certainly has an impact, but the location within the data center matters to the overall performance and scale of the applications composed from those workloads. The location of a specific workload comparative to other components impacts availability and traffic patterns that can result in higher incidents of north-south or east-west congestion in the network. Location of application workloads can cause hairpinning (or tromboning if you prefer) of traffic that may degrade performance or introduce variable latency that degrades the quality of video or audio content.

Location matters a great deal, and yet the very premise of cloud is to abstract topology (location) from the equation and remove it from consideration as part of the provisioning process.

Early in the life of public cloud there was concern over not knowing "who your neighbor tenant" might be on a given physical server, because there was little transparency into the decision making process that governs provisioning of instances in public cloud environments. The depth of such decisions appeared to - and still appear to - be made based on your preference for the "size" of an instance. Obviously, Amazon or Azure or Google is not going to provision a "large" instance where only a "small" will fit.

But the question of where, topologically, that "large" instance might end up residing is still unanswered. It might be two hops away or one virtual hop away. You can't know if your entire application - all its components - have been launched on the same physical server or not. And that can have dire consequences in a model that's "built to fail" because if all your eggs are in one basket and the basket breaks... well, minutes of downtime is still downtime.

The next evolutionary step in cloud (besides the emergence of much needed value added services) is more intelligent provisioning driven by better feedback loops regarding the relationship between the combination of compute, network and storage resources and the application. Big (Operational) Data is going to be as important to IT as Big (Customer) Data is to the business as more and more applications and services become critical to the business.

Read the original blog entry...

More Stories By Lori MacVittie

Lori MacVittie is responsible for education and evangelism of application services available across F5’s entire product suite. Her role includes authorship of technical materials and participation in a number of community-based forums and industry standards organizations, among other efforts. MacVittie has extensive programming experience as an application architect, as well as network and systems development and administration expertise. Prior to joining F5, MacVittie was an award-winning Senior Technology Editor at Network Computing Magazine, where she conducted product research and evaluation focused on integration with application and network architectures, and authored articles on a variety of topics aimed at IT professionals. Her most recent area of focus included SOA-related products and architectures. She holds a B.S. in Information and Computing Science from the University of Wisconsin at Green Bay, and an M.S. in Computer Science from Nova Southeastern University.

Latest Stories
DevOps at Cloud Expo, taking place October 31 - November 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with 21st 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 w...
SYS-CON Events announced today that Daiya Industry will exhibit at the Japanese Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Ruby Development Inc. builds new services in short period of time and provides a continuous support of those services based on Ruby on Rails. For more information, please visit https://github.com/RubyDevInc.
When it comes to cloud computing, the ability to turn massive amounts of compute cores on and off on demand sounds attractive to IT staff, who need to manage peaks and valleys in user activity. With cloud bursting, the majority of the data can stay on premises while tapping into compute from public cloud providers, reducing risk and minimizing need to move large files. In his session at 18th Cloud Expo, Scott Jeschonek, Director of Product Management at Avere Systems, discussed the IT and busine...
As businesses evolve, they need technology that is simple to help them succeed today and flexible enough to help them build for tomorrow. Chrome is fit for the workplace of the future — providing a secure, consistent user experience across a range of devices that can be used anywhere. In her session at 21st Cloud Expo, Vidya Nagarajan, a Senior Product Manager at Google, will take a look at various options as to how ChromeOS can be leveraged to interact with people on the devices, and formats th...
First generation hyperconverged solutions have taken the data center by storm, rapidly proliferating in pockets everywhere to provide further consolidation of floor space and workloads. These first generation solutions are not without challenges, however. In his session at 21st Cloud Expo, Wes Talbert, a Principal Architect and results-driven enterprise sales leader at NetApp, will discuss how the HCI solution of tomorrow will integrate with the public cloud to deliver a quality hybrid cloud e...
Is advanced scheduling in Kubernetes achievable? Yes, however, how do you properly accommodate every real-life scenario that a Kubernetes user might encounter? How do you leverage advanced scheduling techniques to shape and describe each scenario in easy-to-use rules and configurations? In his session at @DevOpsSummit at 21st Cloud Expo, Oleg Chunikhin, CTO at Kublr, will answer these questions and demonstrate techniques for implementing advanced scheduling. For example, using spot instances ...
SYS-CON Events announced today that Yuasa System will exhibit at the Japan External Trade Organization (JETRO) Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Yuasa System is introducing a multi-purpose endurance testing system for flexible displays, OLED devices, flexible substrates, flat cables, and films in smartphones, wearables, automobiles, and healthcare.
SYS-CON Events announced today that Taica will exhibit at the Japan External Trade Organization (JETRO) Pavilion at SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Taica manufacturers Alpha-GEL brand silicone components and materials, which maintain outstanding performance over a wide temperature range -40C to +200C. For more information, visit http://www.taica.co.jp/english/.
As hybrid cloud becomes the de-facto standard mode of operation for most enterprises, new challenges arise on how to efficiently and economically share data across environments. In his session at 21st Cloud Expo, Dr. Allon Cohen, VP of Product at Elastifile, will explore new techniques and best practices that help enterprise IT benefit from the advantages of hybrid cloud environments by enabling data availability for both legacy enterprise and cloud-native mission critical applications. By rev...
When it comes to cloud computing, the ability to turn massive amounts of compute cores on and off on demand sounds attractive to IT staff, who need to manage peaks and valleys in user activity. With cloud bursting, the majority of the data can stay on premises while tapping into compute from public cloud providers, reducing risk and minimizing need to move large files. In his session at 18th Cloud Expo, Scott Jeschonek, Director of Product Management at Avere Systems, discussed the IT and busine...
Organizations do not need a Big Data strategy; they need a business strategy that incorporates Big Data. Most organizations lack a road map for using Big Data to optimize key business processes, deliver a differentiated customer experience, or uncover new business opportunities. They do not understand what’s possible with respect to integrating Big Data into the business model.
Companies are harnessing data in ways we once associated with science fiction. Analysts have access to a plethora of visualization and reporting tools, but considering the vast amount of data businesses collect and limitations of CPUs, end users are forced to design their structures and systems with limitations. Until now. As the cloud toolkit to analyze data has evolved, GPUs have stepped in to massively parallel SQL, visualization and machine learning.
Recently, REAN Cloud built a digital concierge for a North Carolina hospital that had observed that most patient call button questions were repetitive. In addition, the paper-based process used to measure patient health metrics was laborious, not in real-time and sometimes error-prone. In their session at 21st Cloud Expo, Sean Finnerty, Executive Director, Practice Lead, Health Care & Life Science at REAN Cloud, and Dr. S.P.T. Krishnan, Principal Architect at REAN Cloud, will discuss how they b...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities – ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups. As a result, many firms employ new business models that place enormous impor...
The next XaaS is CICDaaS. Why? Because CICD saves developers a huge amount of time. CD is an especially great option for projects that require multiple and frequent contributions to be integrated. But… securing CICD best practices is an emerging, essential, yet little understood practice for DevOps teams and their Cloud Service Providers. The only way to get CICD to work in a highly secure environment takes collaboration, patience and persistence. Building CICD in the cloud requires rigorous a...