Welcome!

CRM Authors: Xenia von Wedel, Ian Khan, PR.com Newswire, Steve Mordue

Related Topics: @ThingsExpo, @CloudExpo, @DXWorldExpo

@ThingsExpo: Blog Post

Accelerating IoT Deployments to Achieve Business Goals Faster | @ThingsExpo #IoT #M2M #API

IoT creates an opportunity to measure, collect and analyze an ever-increasing variety of behavioral statistics

Accelerating IoT Deployments to Achieve Business Goals Faster

The "Internet of Things" is an exciting area of tech, one in which industry experts estimate there will be more than 30 billion connected IoT devices by 2020. IoT is the inter-networking and instrumentation of physical devices - everything from streets, cars, factories, power grids, ice caps, satellites, and clothing to phones, microwaves, milk containers, planets, human bodies, etc.

IoT creates an opportunity to measure, collect and analyze an ever-increasing variety of behavioral statistics. That being said, data, and more importantly insight into the data, is key for enhanced business value and achieving goals quickly. The proliferation of IoT devices and the sheer volume of large data streams have changed the data processing characteristics that we were accustomed to, forcing new architectures and infrastructure that are designed for streaming data, real-time insights, and real-time analytics.

In order to gain real-time insights to facilitate automation, data about these devices needs to be collected and analyzed with the help of various technologies making up IoT Architecture. For example, by providing IoT monitoring and control companies can optimize plant safety and security, as well as extend into asset management allowing forpredictive maintenance thatdrives efficiencies and maximizes reliability.

Another example of IoT is home automation (also known as smart home devices) to control and automate lighting, heating, air conditioning and household appliances. IoT in infrastructure management monitors and controls urban and rural solar panels, railway tracks, wind-farms, and manufacturing.

Today's modern applications require action. For developers, in order to take appropriate action given the type of data they are working with, it's becoming essential to have an IoT data platform that can provide a set of tools and services to get metrics and events data from sensors, devices, systems, machines, containers, and applications. With an IoT data platform, developers can closely monitor and analyze data for collecting, normalizing, detecting events, as well as storing, managing and automating the entire system.

Given the potential for mixed workloads and data requirements, and to fully evaluate and manipulate IoT data, companies need to consider an IoT platform that specializes in handling a high volume of writes and queries over large and changing data sets. In addition, consideration of storing time stamped data - and looking at changes over a period of time - has to be taken into account. This leads to using a Time Series Database (TSDB), which makes sense because IoT data is time series data and modern TSDBs are built specifically for handling metrics and events or measurements that are time-stamped. A TSDB is optimized for measuring change over time, which is important because time series data, including IoT data, is very different than other data workloads because it must collect data lifecycle management, summarization and large range scans of many records.

Regarding analytics, there are specific kinds of analytics that are looking at real-time change over time - and for deriving insights from these changes -  a TSDB is critical. Time series data such as IoT data comes in two forms: traditional regular (metrics) and irregular (events). Both data forms are present in IoT data. Today's more advanced TSDB platforms are optimized for both regular (example a sensor sending temperature readings every millisecond) and irregular time series data (for example a sensor sending pressure data only if it is above 1000psi). In addition, this class of TSDBs has evolved their data model over earlier time series solutions and have no limits on the number of tags and fields that can be used. This allows timestamp precision in nanoseconds, which is important as sub-millisecond operations become more common with IoT architectures.

Developers also need the ability to perform correlation, aggregation, and pattern detection of the streaming data before it gets to the database - in short the delivery of streaming analytics. They also need the ability to visualize real-time data and set up notification, control and action services to automate the entire IoT system. This can all be delivered by today's advanced TSDB platforms.

Using TSDB platform to help solve the business goals of developing an IoT application - there are three steps that are critical for success:

Accumulate
Developers need to accumulate a comprehensive set of tools and services to get metrics and events data from sensors, devices, systems, machines, containers, and applications. With an open source solution, users can access a number of integrations to popular databases, containers, services, applications, and other monitoring and alerting products.

Analyze
With the right platform, developers can analyze and access real-time stream processing of the data and storage of the time-series data. They are able to graph and visualize data and perform ad hoc exploration of data as needed.

Act
Today's modern applications require actions. Using plugin custom logic or user-defined functions, developers can process alerts with dynamic thresholds, match metrics for patterns or compute statistical anomalies, automatically scale containers, and basically do anything that can programmed.

The world of IoT seems limitless. Developers need to have visibility into all aspects of their data in real time to help meet the demands of even the largest monitoring and IoT deployments.

More Stories By Mark Herring

Mark Herring is a zealous marketer who believes that the road to marketing success always leads with the developer. Before InfluxData, he was VP of corporate marketing and developer marketing at Hortonworks, SVP of Products at Software AG, VP of Middleware, Java and MySQL Marketing at Sun Microsystems, and VP of Marketing at Forte Software. Earlier in his career, he was a developer and technical support engineer for Oracle. He holds a BS from the University of Witwatersrand, South Africa.

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.


@ThingsExpo Stories
Cloud-enabled transformation has evolved from cost saving measure to business innovation strategy -- one that combines the cloud with cognitive capabilities to drive market disruption. Learn how you can achieve the insight and agility you need to gain a competitive advantage. Industry-acclaimed CTO and cloud expert, Shankar Kalyana presents. Only the most exceptional IBMers are appointed with the rare distinction of IBM Fellow, the highest technical honor in the company. Shankar has also receive...
It is of utmost importance for the future success of WebRTC to ensure that interoperability is operational between web browsers and any WebRTC-compliant client. To be guaranteed as operational and effective, interoperability must be tested extensively by establishing WebRTC data and media connections between different web browsers running on different devices and operating systems. In his session at WebRTC Summit at @ThingsExpo, Dr. Alex Gouaillard, CEO and Founder of CoSMo Software, presented ...
WebRTC is great technology to build your own communication tools. It will be even more exciting experience it with advanced devices, such as a 360 Camera, 360 microphone, and a depth sensor camera. In his session at @ThingsExpo, Masashi Ganeko, a manager at INFOCOM Corporation, introduced two experimental projects from his team and what they learned from them. "Shotoku Tamago" uses the robot audition software HARK to track speakers in 360 video of a remote party. "Virtual Teleport" uses a multip...
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, discussed the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
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...
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be...
Detecting internal user threats in the Big Data eco-system is challenging and cumbersome. Many organizations monitor internal usage of the Big Data eco-system using a set of alerts. This is not a scalable process given the increase in the number of alerts with the accelerating growth in data volume and user base. Organizations are increasingly leveraging machine learning to monitor only those data elements that are sensitive and critical, autonomously establish monitoring policies, and to detect...
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. 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 settl...
In his session at @ThingsExpo, Dr. Robert Cohen, an economist and senior fellow at the Economic Strategy Institute, presented the findings of a series of six detailed case studies of how large corporations are implementing IoT. The session explored how IoT has improved their economic performance, had major impacts on business models and resulted in impressive ROIs. The companies covered span manufacturing and services firms. He also explored servicification, how manufacturing firms shift from se...
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of bus...
The Jevons Paradox suggests that when technological advances increase efficiency of a resource, it results in an overall increase in consumption. Writing on the increased use of coal as a result of technological improvements, 19th-century economist William Stanley Jevons found that these improvements led to the development of new ways to utilize coal. In his session at 19th Cloud Expo, Mark Thiele, Chief Strategy Officer for Apcera, compared the Jevons Paradox to modern-day enterprise IT, examin...
IoT solutions exploit operational data generated by Internet-connected smart “things” for the purpose of gaining operational insight and producing “better outcomes” (for example, create new business models, eliminate unscheduled maintenance, etc.). The explosive proliferation of IoT solutions will result in an exponential growth in the volume of IoT data, precipitating significant Information Governance issues: who owns the IoT data, what are the rights/duties of IoT solutions adopters towards t...
Amazon started as an online bookseller 20 years ago. Since then, it has evolved into a technology juggernaut that has disrupted multiple markets and industries and touches many aspects of our lives. It is a relentless technology and business model innovator driving disruption throughout numerous ecosystems. Amazon’s AWS revenues alone are approaching $16B a year making it one of the largest IT companies in the world. With dominant offerings in Cloud, IoT, eCommerce, Big Data, AI, Digital Assista...
Organizations planning enterprise data center consolidation and modernization projects are faced with a challenging, costly reality. Requirements to deploy modern, cloud-native applications simultaneously with traditional client/server applications are almost impossible to achieve with hardware-centric enterprise infrastructure. Compute and network infrastructure are fast moving down a software-defined path, but storage has been a laggard. Until now.
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...
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...
DXWorldEXPO LLC announced today that All in Mobile, a mobile app development company from Poland, will exhibit at the 22nd International CloudEXPO | DXWorldEXPO. All In Mobile is a mobile app development company from Poland. Since 2014, they maintain passion for developing mobile applications for enterprises and startups worldwide.
"Akvelon is a software development company and we also provide consultancy services to folks who are looking to scale or accelerate their engineering roadmaps," explained Jeremiah Mothersell, Marketing Manager at Akvelon, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
IoT is at the core or many Digital Transformation initiatives with the goal of re-inventing a company's business model. We all agree that collecting relevant IoT data will result in massive amounts of data needing to be stored. However, with the rapid development of IoT devices and ongoing business model transformation, we are not able to predict the volume and growth of IoT data. And with the lack of IoT history, traditional methods of IT and infrastructure planning based on the past do not app...