Welcome!

Wireless Authors: Carmen Gonzalez, Roger Strukhoff, Peter Silva, Kevin Benedict, Liz McMillan

Related Topics: @ThingsExpo, Java, Wireless, Linux, Cloud Expo, Big Data Journal

@ThingsExpo: Blog Feed Post

The Fourth Digital Wave: The Age of Application Intelligence

This is the age of multi-device mobility, the cloud, seamless computing from one device to another

This post originally appeared on APM Digest

Welcome to the fourth era of digital.

The first three periods or ages or phases — call them what you like — were each defined clearly by transformative events.

First, the dawn of the personal computer age in April 1977 with the debut of the Apple II (and validated in August 1981 with the introduction of the IBM PC).

Next, the beginning of the Internet age when the Netscape browser was released in 1994, which redefined forever the way we connect.

Then, on June 29, 2007 — ushered in again by Steve Jobs and Apple — the mobility era began with the unveiling of the first iPhone, which ushered in a “Mobile First” mindset for the masses.

And now we’re in the fourth era. This time there’s been no single, monumental event or technology to mark its beginning, though mobility and the cloud are the primary enabling technologies. What’s happening instead is that a number of technologies are coalescing and achieving, even as we speak, a critical mass that will make this age as transformative or more so than any of the previous three.

This is the age of multi-device mobility, the cloud, seamless computing from one device to another, a growing ecosystem of connected devices (watches, cars, thermostats), instant and ubiquitous communication, the blurring of the lines and hours between work and not-work. It’s a transformation that may have started with the smartphone, but has now engulfed everything about the way we use technology for, well everything.

Organizations that master the ability to collect, understand and act upon knowledge derived from user experiences, application behaviours, and infrastructure use from across this connected ecosystem will outcompete those that don’t, and win in this fourth era of Digital: The Age of Application Intelligence.

A Tectonic Technological Shift
There’s really no precedent for the speed of what has become a tectonic technological shift. In her much-anticipated Internet Trends 2014, KPCB’s Mary Meeker characterizes a tech market that saw 20 percent growth for smartphones, 52 percent for tablets, and 82 percent for mobile data in 2013. She predicts 10x growth in mobile Internet units in this decade — from the one billion-plus desktop Internet units/users to more than 10 billion for the mobile Internet.

Seemingly overnight, we have new models for hardware and software development, new models of behavior, and unforgiving expectations from consumers — for more apps, more functionality, more entertainment, more speed — driven by mobility, but extending to all online experiences regardless of interaction preference.

This is good, and it’s a great time to be in the thick of the enabling technology platforms — if you’re functioning with a model designed for this fourth era of digital.

On the other hand, it’s a pretty challenging time if you’re dealing with technology that matured early in the 2000s. Think huge, monolithic apps, sprawling private data centers with proprietary consoles for every piece of your infrastructure supported by “engagements” — a very loaded term — when a literal or figurative truckload of consultants, engineers, and programmers would descend on an enterprise and spend several months and multiple man-years engrossed in a single project only to emerge at the end with a big, bloated, largely rigid “deliverable.”

And if the applications themselves were large and unwieldy and slow to adapt, the Application Performance Management systems were (and legacy systems still are) similarly complex, difficult to adapt, and slow to process the limited amount of data they collected. The notion of “real time” was not even a consideration.

It wasn’t that long ago, but it’s hard to imagine trying to do business like that today. And in fact, you really can’t do business that way today. Some of the legacy APM platforms are trying to make the transition. But it’s a difficult maneuver that requires the kind of wholesale reinvention that few entrenched enterprises are willing to attempt, or that those brave enough to try can accomplish successfully.

The recent challenge faced by OpTier is a case in point. It’s always a bit alarming to see a player leave the arena, even a competitor. But it’s not likely to be the last such story we’ll hear.

Whether you’re building the applications themselves or the platforms to optimize their performance and business value, today everything is about speed, agility, and creating exceptional end-user experiences.

If you’re providing the applications, that means you have to be able to iterate quickly — often multiple times per day — and deliver the features and functionality your customers want, whether they’re outside or inside your enterprise. And of course, your apps have to be continuously available and meet your customers’ expectations for speed and performance, whatever OS or device they’re using. And you have to do this in an environment that is distributed, heterogeneous, complex, and ever-changing.

To pull this off requires a level of application intelligence designed specifically to succeed with these challenges in these environments.

Delivering Real APM Value

Specifically, for an APM platform to deliver real value for the application and the enterprise, it has to satisfy a number of key requirements, including:

  • Fast setup: minutes or hours vs. days or weeks, without need for a professional services ‘engagement.’
  • Self-learning, auto-configuring: Your apps and infrastructure change frequently; your APM platform needs to automatically detect and learn those changes and configure itself in real time, without manual intervention; there’s simply no time or resources for that.
  • Detect, diagnose, and respond: If there’s a problem, a slowdown, an outage, your APM platform should be the first to know about it, and whenever possible, should fix it before you know about it; or if it requires a bigger intervention, give you the data you need to solve it quickly.
  • Deliver actionable intelligence in real-time: In the old days, APM was about speed and availability and not much else. In today’s software-enabled enterprises, the APM platform not only has to measure, monitor, and manage system health, it has to be able to tell you, in real time, what impact performance is having on the business. It’s a focus far beyond availability and throughput, on the business transaction for the end user.
  • Provide end-to-end transaction visibility: Your applications may be running on your premises, in the cloud, or both; you need to be able to see what’s happening everywhere, through one pane of glass, because you can only manage, fix, and optimize performance that you can see.
  • Be insanely fast: When you do a release, you need to know immediately what’s working, what’s not, and how to fix things in a hurry, live, in production.

And it has to be stingy with the overhead, be able to scale itself and your applications up or down in response to changing demand, make the most of your resources and infrastructure, and many more things.

That’s a far cry from the big, heavy, slow systems and processes of a few short years ago. And characteristics like these don’t just apply to APM — it’s the way of all technology development today, from VR gaming headset hardware to massive e-commerce systems. Fail fast and recover (smarter next time). Design from the outside-in. Iterate quickly. Respond in real time. Innovate faster than the competition, in technology and marketing. Create user experiences that drive success.

In Internet Trends, Mary Meeker says that “New companies — with new data from new device types — [are] doing things in new ways and growing super fast.” And she describes the rapid growth of “uploadable/sharable/findable real-time data.” These are ideas that describe much of what is driving this new, fourth era of digital.

The old adage is true now more than ever: Change is the one constant you can count on. Those organizations who can adapt continuously are the ones that will thrive and win.

This post originally appeared on APM Digest

The post The Fourth Digital Wave: The Age of Application Intelligence written by appeared first on Application Performance Monitoring Blog from AppDynamics.

Read the original blog entry...

More Stories By Sandi Mappic

Sandi Mappic has a passion for making apps go faster. She works with AppDynamics around the clock to help customers resolve performance pain and master application performance management. (This is AppDynamics blog feed written by several different AppDynamics bloggers.)

@ThingsExpo Stories
Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have spoken with, or attended presentations from, utilities in the United States, South America, Asia and Europe. This session will provide a look at the CREPE drivers for SmartGrids and the solution spaces used by SmartGrids today and planned for the near future. All organizations can learn from SmartGrid’s use of Predictive Maintenance, Demand Prediction, Cloud, Big Data and Customer-facing Dashboards...
The Internet of Things (IoT) is going to require a new way of thinking and of developing software for speed, security and innovation. This requires IT leaders to balance business as usual while anticipating for the next market and technology trends. Cloud provides the right IT asset portfolio to help today’s IT leaders manage the old and prepare for the new. Today the cloud conversation is evolving from private and public to hybrid. This session will provide use cases and insights to reinforce the value of the network in helping organizations to maximize their company’s cloud experience.
IoT is still a vague buzzword for many people. In his session at Internet of @ThingsExpo, Mike Kavis, Vice President & Principal Cloud Architect at Cloud Technology Partners, will discuss the business value of IoT that goes far beyond the general public's perception that IoT is all about wearables and home consumer services. The presentation will also discuss how IoT is perceived by investors and how venture capitalist access this space. Other topics to discuss are barriers to success, what is new, what is old, and what the future may hold.
Whether you're a startup or a 100 year old enterprise, the Internet of Things offers a variety of new capabilities for your business. IoT style solutions can help you get closer your customers, launch new product lines and take over an industry. Some companies are dipping their toes in, but many have already taken the plunge, all while dramatic new capabilities continue to emerge. In his session at Internet of @ThingsExpo, Reid Carlberg, Senior Director, Developer Evangelism at salesforce.com, to discuss real-world use cases, patterns and opportunities you can harness today.
All major researchers estimate there will be tens of billions devices – computers, smartphones, tablets, and sensors – connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo in Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!
Noted IoT expert and researcher Joseph di Paolantonio (pictured below) has joined the @ThingsExpo faculty. Joseph, who describes himself as an “Independent Thinker” from DataArchon, will speak on the topic of “Smart Grids & Managing Big Utilities.” Over his career, Joseph di Paolantonio has worked in the energy, renewables, aerospace, telecommunications, and information technology industries. His expertise is in data analysis, system engineering, Bayesian statistics, data warehouses, business intelligence, data mining, predictive methods, and very large databases (VLDB). Prior to DataArchon, he served as a VP and Principal Analyst with Constellation Group. He is a member of the Boulder (Colo.) Brain Trust, an organization with a mission “to benefit the Business Intelligence and data management industry by providing pro bono exchange of information between vendors and independent analysts on new trends and technologies and to provide vendors with constructive feedback on their of...
Software AG helps organizations transform into Digital Enterprises, so they can differentiate from competitors and better engage customers, partners and employees. Using the Software AG Suite, companies can close the gap between business and IT to create digital systems of differentiation that drive front-line agility. We offer four on-ramps to the Digital Enterprise: alignment through collaborative process analysis; transformation through portfolio management; agility through process automation and integration; and visibility through intelligent business operations and big data.
There will be 50 billion Internet connected devices by 2020. Today, every manufacturer has a propriety protocol and an app. How do we securely integrate these "things" into our lives and businesses in a way that we can easily control and manage? Even better, how do we integrate these "things" so that they control and manage each other so our lives become more convenient or our businesses become more profitable and/or safe? We have heard that the best interface is no interface. In his session at Internet of @ThingsExpo, Chris Matthieu, Co-Founder & CTO at Octoblu, Inc., will discuss how these devices generate enough data to learn our behaviors and simplify/improve our lives. What if we could connect everything to everything? I'm not only talking about connecting things to things but also systems, cloud services, and people. Add in a little machine learning and artificial intelligence and now we have something interesting...
Last week, while in San Francisco, I used the Uber app and service four times. All four experiences were great, although one of the drivers stopped for 30 seconds and then left as I was walking up to the car. He must have realized I was a blogger. None the less, the next car was just a minute away and I suffered no pain. In this article, my colleague, Ved Sen, Global Head, Advisory Services Social, Mobile and Sensors at Cognizant shares his experiences and insights.
We are reaching the end of the beginning with WebRTC and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) irreversibly encoded. In his session at Internet of @ThingsExpo, Peter Dunkley, Technical Director at Acision, will look at how this identity problem can be solved and discuss ways to use existing web identities for real-time communication.
Can call centers hang up the phones for good? Intuitive Solutions did. WebRTC enabled this contact center provider to eliminate antiquated telephony and desktop phone infrastructure with a pure web-based solution, allowing them to expand beyond brick-and-mortar confines to a home-based agent model. It also ensured scalability and better service for customers, including MUY! Companies, one of the country's largest franchise restaurant companies with 232 Pizza Hut locations. This is one example of WebRTC adoption today, but the potential is limitless when powered by IoT. Attendees will learn real-world benefits of WebRTC and explore future possibilities, as WebRTC and IoT intersect to improve customer service.
From telemedicine to smart cars, digital homes and industrial monitoring, the explosive growth of IoT has created exciting new business opportunities for real time calls and messaging. In his session at Internet of @ThingsExpo, Ivelin Ivanov, CEO and Co-Founder of Telestax, will share some of the new revenue sources that IoT created for Restcomm – the open source telephony platform from Telestax. Ivelin Ivanov is a technology entrepreneur who founded Mobicents, an Open Source VoIP Platform, to help create, deploy, and manage applications integrating voice, video and data. He is the co-founder of TeleStax, an Open Source Cloud Communications company that helps the shift from legacy IN/SS7 telco networks to IP-based cloud comms. An early investor in multiple start-ups, he still finds time to code for his companies and contribute to open source projects.
The Internet of Things (IoT) promises to create new business models as significant as those that were inspired by the Internet and the smartphone 20 and 10 years ago. What business, social and practical implications will this phenomenon bring? That's the subject of "Monetizing the Internet of Things: Perspectives from the Front Lines," an e-book released today and available free of charge from Aria Systems, the leading innovator in recurring revenue management.
The Internet of Things will put IT to its ultimate test by creating infinite new opportunities to digitize products and services, generate and analyze new data to improve customer satisfaction, and discover new ways to gain a competitive advantage across nearly every industry. In order to help corporate business units to capitalize on the rapidly evolving IoT opportunities, IT must stand up to a new set of challenges.
There’s Big Data, then there’s really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. In her session at 6th Big Data Expo®, Hannah Smalltree, Director at Treasure Data, to discuss how IoT, Big Data and deployments are processing massive data volumes from wearables, utilities and other machines.
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at Internet of @ThingsExpo, Erik Lagerway, Co-founder of Hookflash, will walk through the shifting landscape of traditional telephone and voice services to the modern P2P RTC era of OTT cloud assisted services.
While great strides have been made relative to the video aspects of remote collaboration, audio technology has basically stagnated. Typically all audio is mixed to a single monaural stream and emanates from a single point, such as a speakerphone or a speaker associated with a video monitor. This leads to confusion and lack of understanding among participants especially regarding who is actually speaking. Spatial teleconferencing introduces the concept of acoustic spatial separation between conference participants in three dimensional space. This has been shown to significantly improve comprehension and conference efficiency.
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, will discuss single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example to explain some of these concepts including when to use different storage models.
SYS-CON Events announced today that Gridstore™, the leader in software-defined storage (SDS) purpose-built for Windows Servers and Hyper-V, will exhibit at SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Gridstore™ is the leader in software-defined storage purpose built for virtualization that is designed to accelerate applications in virtualized environments. Using its patented Server-Side Virtual Controller™ Technology (SVCT) to eliminate the I/O blender effect and accelerate applications Gridstore delivers vmOptimized™ Storage that self-optimizes to each application or VM across both virtual and physical environments. Leveraging a grid architecture, Gridstore delivers the first end-to-end storage QoS to ensure the most important App or VM performance is never compromised. The storage grid, that uses Gridstore’s performance optimized nodes or capacity optimized nodes, starts with as few a...
The Transparent Cloud-computing Consortium (abbreviation: T-Cloud Consortium) will conduct research activities into changes in the computing model as a result of collaboration between "device" and "cloud" and the creation of new value and markets through organic data processing High speed and high quality networks, and dramatic improvements in computer processing capabilities, have greatly changed the nature of applications and made the storing and processing of data on the network commonplace. These technological reforms have not only changed computers and smartphones, but are also changing the data processing model for all information devices. In particular, in the area known as M2M (Machine-To-Machine), there are great expectations that information with a new type of value can be produced using a variety of devices and sensors saving/sharing data via the network and through large-scale cloud-type data processing. This consortium believes that attaching a huge number of devic...