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Innovation Explosion Sets Stage for New Wave of Hybrid Applications

Julie Craig

In the past, technology evolution was quantified as generational. So the first generation of computing was based on the vacuum tube, followed by the transistor, integrated circuits, and microprocessors. Even today, multi-generational software and hardware systems are very much alive in many modern data centers.

The interesting thing about the generational approach is that it has always been associated with linear progression and evolutionary growth. However the rapid technology evolution we are seeing today is more revolutionary than evolutionary, and IT is bearing the brunt of its impact.

Emerging from the financial doldrums of the 2008 – 2012 “downturn”, business and IT are confronted with an explosion of technology which has never been equaled in recorded history. Driverless cars, sensor-driven “swarms”, alternative energy sources, and “smart” electric grids are the tip of the iceberg. And in contrast to the generational, evolutionary innovation waves of the past, everything is happening at once.

Businesses are confronted with multiple concurrent streams of innovation encompassing cloud, sensor networks, Internets of Things (IoT), social media, and ubiquitous mobile. Each of these trends becomes, in turn, a foundation for the next wave of innovation. Each also provides business opportunities for creating the “next big idea” driving revenue from new products and services.

I have heavily covered this evolution with multiple research pieces over the past several years and am currently analyzing the results of my latest survey on the topic of the Extended Enterprise. This is an ecosystem-wide view of the trends currently impacting IT, summarized in a paper entitled Public Cloud Comes of Age: Application Performance Management (APM) Strategies & Products for a Production-Ready Cloud Ecosystem. With the paper scheduled to be published by December 15, I will be presenting a webinar on the topic on December 16. Click here to register .

The research focuses on the increasingly hybrid nature of today’s applications, particularly in view of the fact that this “explosion of innovation” is, essentially, being driven by software. Enterprise IT is already dealing with hybrid on-premise/public Cloud applications, and future hybrid deployments will encompass Internet of Things, mobile, and social media interactions and data as well.

A growing “API Economy” means that everything is connected. While interconnected apps take a toll on performance, particularly when they are connected via APIs, users expect the same levels of performance regardless of their device or location. And as data siphoned from sensor networks and related “Internet of Things” technologies increasingly becomes fodder for business-critical data stores and reporting, real time interoperability becomes increasingly important — as well as increasingly difficult to achieve.

In short, the challenges of monitoring and managing “hybrid” environments which I anticipated three years ago have now come to pass — in spades. Why is this important? Because all of these technologies are, or soon will be, leveraged by component-based applications and services. So in addition to “hybrid cloud”, we will also have “hybrid API-driven apps” (transactions executing via multiple API calls), “hybrid mobile” (mobile to mobile applications), and other combinations of “hybrids”.

Although it is an exciting and interesting time to be part of this evolution, one should also note the age-old curse that says: May you live in interesting times. IT professionals at all levels — including CIOs, Directors, and managers — are living in interesting times. With applications running “in the cloud”, accessing partner and supplier data centers, executing as mobile “apps”, driving down the road, and exchanging real-time data, the illusion of control has dissipated.

So the “big picture” question is: How can IT manage application performance and availability in an environment it can’t control? For enterprise IT, the question of the day then becomes, “Is YOUR organization ready to support these technologies”?

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Innovation Explosion Sets Stage for New Wave of Hybrid Applications

Julie Craig

In the past, technology evolution was quantified as generational. So the first generation of computing was based on the vacuum tube, followed by the transistor, integrated circuits, and microprocessors. Even today, multi-generational software and hardware systems are very much alive in many modern data centers.

The interesting thing about the generational approach is that it has always been associated with linear progression and evolutionary growth. However the rapid technology evolution we are seeing today is more revolutionary than evolutionary, and IT is bearing the brunt of its impact.

Emerging from the financial doldrums of the 2008 – 2012 “downturn”, business and IT are confronted with an explosion of technology which has never been equaled in recorded history. Driverless cars, sensor-driven “swarms”, alternative energy sources, and “smart” electric grids are the tip of the iceberg. And in contrast to the generational, evolutionary innovation waves of the past, everything is happening at once.

Businesses are confronted with multiple concurrent streams of innovation encompassing cloud, sensor networks, Internets of Things (IoT), social media, and ubiquitous mobile. Each of these trends becomes, in turn, a foundation for the next wave of innovation. Each also provides business opportunities for creating the “next big idea” driving revenue from new products and services.

I have heavily covered this evolution with multiple research pieces over the past several years and am currently analyzing the results of my latest survey on the topic of the Extended Enterprise. This is an ecosystem-wide view of the trends currently impacting IT, summarized in a paper entitled Public Cloud Comes of Age: Application Performance Management (APM) Strategies & Products for a Production-Ready Cloud Ecosystem. With the paper scheduled to be published by December 15, I will be presenting a webinar on the topic on December 16. Click here to register .

The research focuses on the increasingly hybrid nature of today’s applications, particularly in view of the fact that this “explosion of innovation” is, essentially, being driven by software. Enterprise IT is already dealing with hybrid on-premise/public Cloud applications, and future hybrid deployments will encompass Internet of Things, mobile, and social media interactions and data as well.

A growing “API Economy” means that everything is connected. While interconnected apps take a toll on performance, particularly when they are connected via APIs, users expect the same levels of performance regardless of their device or location. And as data siphoned from sensor networks and related “Internet of Things” technologies increasingly becomes fodder for business-critical data stores and reporting, real time interoperability becomes increasingly important — as well as increasingly difficult to achieve.

In short, the challenges of monitoring and managing “hybrid” environments which I anticipated three years ago have now come to pass — in spades. Why is this important? Because all of these technologies are, or soon will be, leveraged by component-based applications and services. So in addition to “hybrid cloud”, we will also have “hybrid API-driven apps” (transactions executing via multiple API calls), “hybrid mobile” (mobile to mobile applications), and other combinations of “hybrids”.

Although it is an exciting and interesting time to be part of this evolution, one should also note the age-old curse that says: May you live in interesting times. IT professionals at all levels — including CIOs, Directors, and managers — are living in interesting times. With applications running “in the cloud”, accessing partner and supplier data centers, executing as mobile “apps”, driving down the road, and exchanging real-time data, the illusion of control has dissipated.

So the “big picture” question is: How can IT manage application performance and availability in an environment it can’t control? For enterprise IT, the question of the day then becomes, “Is YOUR organization ready to support these technologies”?

Hot Topics

The Latest

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...