Click here to close now.



Welcome!

@ThingsExpo Authors: Scott Allen, Pat Romanski, Liz McMillan, Elizabeth White, Philippe Abdoulaye

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

@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 AppDynamics Blog

In high-production environments where release cycles are measured in hours or minutes — not days or weeks — there's little room for mistakes and no room for confusion. Everyone has to understand what's happening, in real time, and have the means to do whatever is necessary to keep applications up and running optimally.

DevOps is a high-stakes world, but done well, it delivers the agility and performance to significantly impact business competitiveness.

@ThingsExpo Stories
Connected devices and the industrial internet are growing exponentially every year with Cisco expecting 50 billion devices to be in operation by 2020. In this period of growth, location-based insights are becoming invaluable to many businesses as they adopt new connected technologies. Knowing when and where these devices connect from is critical for a number of scenarios in supply chain management, disaster management, emergency response, M2M, location marketing and more. In his session at @Th...
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
There are several IoTs: the Industrial Internet, Consumer Wearables, Wearables and Healthcare, Supply Chains, and the movement toward Smart Grids, Cities, Regions, and Nations. There are competing communications standards every step of the way, a bewildering array of sensors and devices, and an entire world of competing data analytics platforms. To some this appears to be chaos. In this power panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, Bradley Holt, Developer Advocate a...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems. In his session at 19th Cloud Expo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today's coding paradigm ...
"There's a growing demand from users for things to be faster. When you think about all the transactions or interactions users will have with your product and everything that is between those transactions and interactions - what drives us at Catchpoint Systems is the idea to measure that and to analyze it," explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York Ci...
Apixio Inc. has raised $19.3 million in Series D venture capital funding led by SSM Partners with participation from First Analysis, Bain Capital Ventures and Apixio’s largest angel investor. Apixio will dedicate the proceeds toward advancing and scaling products powered by its cognitive computing platform, further enabling insights for optimal patient care. The Series D funding comes as Apixio experiences strong momentum and increasing demand for its HCC Profiler solution, which mines unstruc...
SYS-CON Events has announced today that Roger Strukhoff has been named conference chair of Cloud Expo and @ThingsExpo 2016 Silicon Valley. The 19th Cloud Expo and 6th @ThingsExpo will take place on November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. "The Internet of Things brings trillions of dollars of opportunity to developers and enterprise IT, no matter how you measure it," stated Roger Strukhoff. "More importantly, it leverages the power of devices and the Interne...
In addition to all the benefits, IoT is also bringing new kind of customer experience challenges - cars that unlock themselves, thermostats turning houses into saunas and baby video monitors broadcasting over the internet. This list can only increase because while IoT services should be intuitive and simple to use, the delivery ecosystem is a myriad of potential problems as IoT explodes complexity. So finding a performance issue is like finding the proverbial needle in the haystack.
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to imp...
Whether your IoT service is connecting cars, homes, appliances, wearable, cameras or other devices, one question hangs in the balance – how do you actually make money from this service? The ability to turn your IoT service into profit requires the ability to create a monetization strategy that is flexible, scalable and working for you in real-time. It must be a transparent, smoothly implemented strategy that all stakeholders – from customers to the board – will be able to understand and comprehe...
The cloud market growth today is largely in public clouds. While there is a lot of spend in IT departments in virtualization, these aren’t yet translating into a true “cloud” experience within the enterprise. What is stopping the growth of the “private cloud” market? In his general session at 18th Cloud Expo, Nara Rajagopalan, CEO of Accelerite, explored the challenges in deploying, managing, and getting adoption for a private cloud within an enterprise. What are the key differences between wh...
Ask someone to architect an Internet of Things (IoT) solution and you are guaranteed to see a reference to the cloud. This would lead you to believe that IoT requires the cloud to exist. However, there are many IoT use cases where the cloud is not feasible or desirable. In his session at @ThingsExpo, Dave McCarthy, Director of Products at Bsquare Corporation, will discuss the strategies that exist to extend intelligence directly to IoT devices and sensors, freeing them from the constraints of ...
The IoT is changing the way enterprises conduct business. In his session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, discussed how businesses can gain an edge over competitors by empowering consumers to take control through IoT. He cited examples such as a Washington, D.C.-based sports club that leveraged IoT and the cloud to develop a comprehensive booking system. He also highlighted how IoT can revitalize and restore outdated business models, making them profitable ...
IoT offers a value of almost $4 trillion to the manufacturing industry through platforms that can improve margins, optimize operations & drive high performance work teams. By using IoT technologies as a foundation, manufacturing customers are integrating worker safety with manufacturing systems, driving deep collaboration and utilizing analytics to exponentially increased per-unit margins. However, as Benoit Lheureux, the VP for Research at Gartner points out, “IoT project implementers often ...
When people aren’t talking about VMs and containers, they’re talking about serverless architecture. Serverless is about no maintenance. It means you are not worried about low-level infrastructural and operational details. An event-driven serverless platform is a great use case for IoT. In his session at @ThingsExpo, Animesh Singh, an STSM and Lead for IBM Cloud Platform and Infrastructure, will detail how to build a distributed serverless, polyglot, microservices framework using open source tec...
The idea of comparing data in motion (at the sensor level) to data at rest (in a Big Data server warehouse) with predictive analytics in the cloud is very appealing to the industrial IoT sector. The problem Big Data vendors have, however, is access to that data in motion at the sensor location. In his session at @ThingsExpo, Scott Allen, CMO of FreeWave, discussed how as IoT is increasingly adopted by industrial markets, there is going to be an increased demand for sensor data from the outermos...
CenturyLink has announced that application server solutions from GENBAND are now available as part of CenturyLink’s Networx contracts. The General Services Administration (GSA)’s Networx program includes the largest telecommunications contract vehicles ever awarded by the federal government. CenturyLink recently secured an extension through spring 2020 of its offerings available to federal government agencies via GSA’s Networx Universal and Enterprise contracts. GENBAND’s EXPERiUS™ Application...
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, wh...
"delaPlex is a software development company. We do team-based outsourcing development," explained Mark Rivers, COO and Co-founder of delaPlex Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
"We work in the area of Big Data analytics and Big Data analytics is a very crowded space - you have Hadoop, ETL, warehousing, visualization and there's a lot of effort trying to get these tools to talk to each other," explained Mukund Deshpande, head of the Analytics practice at Accelerite, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.