|By AppDynamics Blog||
|June 28, 2014 09:00 AM EDT||
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 Steven Wastie appeared first on Application Performance Monitoring Blog from AppDynamics.
Between the mockups and specs produced by analysts, and resulting applications built by developers, there exists a gulf where projects fail, costs spiral, and applications disappoint. Methodologies like Agile attempt to address this with intensified communication, with partial success but many limitations. In his session at 18th Cloud Expo, Charles Kendrick, CTO & Chief Architect at Isomorphic Software, will present a revolutionary model enabled by new technologies. Learn how business and devel...
May. 1, 2016 04:15 AM EDT Reads: 1,732
SYS-CON Events announced today that Peak 10, Inc., a national IT infrastructure and cloud services provider, will exhibit at SYS-CON's 18th International Cloud Expo®, which will take place on June 7-9, 2016, at the Javits Center in New York City, NY. Peak 10 provides reliable, tailored data center and network services, cloud and managed services. Its solutions are designed to scale and adapt to customers’ changing business needs, enabling them to lower costs, improve performance and focus inter...
May. 1, 2016 12:00 AM EDT Reads: 1,054
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
Apr. 30, 2016 10:45 PM EDT Reads: 679
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, will provide tips on how to be successful in large scale machine lear...
Apr. 30, 2016 10:00 PM EDT Reads: 1,095
If there is anything we have learned by now, is that every business paves their own unique path for releasing software- every pipeline, implementation and practices are a bit different, and DevOps comes in all shapes and sizes. Software delivery practices are often comprised of set of several complementing (or even competing) methodologies – such as leveraging Agile, DevOps and even a mix of ITIL, to create the combination that’s most suitable for your organization and that maximize your busines...
Apr. 30, 2016 08:15 PM EDT Reads: 1,801
In his session at @ThingsExpo, Chris Klein, CEO and Co-founder of Rachio, will discuss next generation communities that are using IoT to create more sustainable, intelligent communities. One example is Sterling Ranch, a 10,000 home development that – with the help of Siemens – will integrate IoT technology into the community to provide residents with energy and water savings as well as intelligent security. Everything from stop lights to sprinkler systems to building infrastructures will run ef...
Apr. 30, 2016 05:30 PM EDT Reads: 715
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...
Apr. 30, 2016 04:45 PM EDT Reads: 1,055
In the world of DevOps there are ‘known good practices’ – aka ‘patterns’ – and ‘known bad practices’ – aka ‘anti-patterns.' Many of these patterns and anti-patterns have been developed from real world experience, especially by the early adopters of DevOps theory; but many are more feasible in theory than in practice, especially for more recent entrants to the DevOps scene. In this power panel at @DevOpsSummit at 18th Cloud Expo, moderated by DevOps Conference Chair Andi Mann, panelists will dis...
Apr. 30, 2016 04:15 PM EDT Reads: 576
See storage differently! Storage performance problems have only gotten worse and harder to solve as applications have become largely virtualized and moved to a cloud-based infrastructure. Storage performance in a virtualized environment is not just about IOPS, it is about how well that potential performance is guaranteed to individual VMs for these apps as the number of VMs keep going up real time. In his session at 18th Cloud Expo, Dhiraj Sehgal, in product and marketing at Tintri, will discu...
Apr. 30, 2016 04:15 PM EDT Reads: 758
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, will discuss how research has demonstrated the value of Machine Learning in delivering next generation analytics to im...
Apr. 30, 2016 04:15 PM EDT Reads: 1,668
Unless you don’t use the internet, don’t live in California, or haven’t been paying attention to the recent news… you should be aware that self-driving cars are on their way to becoming a reality. I have seen them – they are real. If you believe in the future reality of self-driving cars, then continue reading on. If you don’t believe in the future possibilities, then I am not sure what to do to convince you other than discuss the very real changes that will roll out with the consumer producti...
Apr. 30, 2016 04:00 PM EDT Reads: 568
Up until last year, enterprises that were looking into cloud services usually undertook a long-term pilot with one of the large cloud providers, running test and dev workloads in the cloud. With cloud’s transition to mainstream adoption in 2015, and with enterprises migrating more and more workloads into the cloud and in between public and private environments, the single-provider approach must be revisited. In his session at 18th Cloud Expo, Yoav Mor, multi-cloud solution evangelist at Cloudy...
Apr. 30, 2016 03:30 PM EDT Reads: 1,438
There is an ever-growing explosion of new devices that are connected to the Internet using “cloud” solutions. This rapid growth is creating a massive new demand for efficient access to data. And it’s not just about connecting to that data anymore. This new demand is bringing new issues and challenges and it is important for companies to scale for the coming growth. And with that scaling comes the need for greater security, gathering and data analysis, storage, connectivity and, of course, the...
Apr. 30, 2016 03:15 PM EDT Reads: 765
This is not a small hotel event. It is also not a big vendor party where politicians and entertainers are more important than real content. This is Cloud Expo, the world's longest-running conference and exhibition focused on Cloud Computing and all that it entails. If you want serious presentations and valuable insight about Cloud Computing for three straight days, then register now for Cloud Expo.
Apr. 30, 2016 02:30 PM EDT Reads: 1,717