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Top 5 Technology Predictions for 2014

Steve Tack

Compuware Corporation announced its top technology predictions for 2014:

Prediction 1: A new practice will emerge – AppOps

To accelerate application innovation through tighter IT-Business alignment, AppOps will surface. Digital business is upon us everywhere, and digital business leaders will continue to align IT for business advantage.

AppOps aligns development, production operations and business application owners in an effort to drive greater innovation to market faster with more application releases per month, per week, per day than ever before. The concepts of Agile development and DevOps are already giving way to the notion of Continuous Deployment. This push by business leaders will require IT to rethink and retool for a much more dynamic world.

Prediction 2: Mobile Applications as a Unique Phenomenon Will Disappear

Not only will there be more mobile applications and users than ever before, but they will be reabsorbed into the core IT and business processes of their companies. Mobile, native, web, and store as separate engagement channels will give way to "Omni-Channel" application development, monitoring and management. User experience, user behavior and cross-channel analytics will be vital business differentiators by the time we reach the 2014 holiday season.

Prediction 3: The Big Data Buzz Will Quiet as it Shifts From Hype to Reality

Big data must pass through the "trough of disillusionment" before it can emerge as a mainstream technology in 2015. In 2014, big data production shops will look for smarter ways to scale their fast growing, elastic environments. Their drive for faster, near real-time analytics will push early leaders beyond logs and free tools toward more proven approaches provided by specialized, new generation APM solutions. For those standing up big data for the first time, whether Hadoop, NoSQL or both, companies will look to simplify development to deployment with the newest methodologies and tooling.

New generation APM with specialized big data capabilities will emerge as a key enabler for successful big data projects.

Prediction 4: The Age Old Disciplines of ITIL and ITSM Will be Heavily Challenged in 2014

These disciplines, built on sound principles and methodologies, have guided IT leaders for over two decades. However, the pace of change, the business impact of applications, and the dynamic complexity of "the Internet of Things" are quickly making ITIL and ITSM less relevant. For many, they are anchors holding back the very innovation and change businesses require to survive and thrive. This business reality will drive IT to change, and in this disruption IT will look to dynamic, real-time, smart systems and tooling to build upon. As a result, the role of APM will expand to play a much larger role in the IT world of the future.

Prediction 5: New Generation APM Will Emerge as a Strategic IT Framework for Modern, Composite Applications

Composite applications will be used to speed innovation, eliminate guesswork and assure optimal end-user experience. Unlike old APM tools used to monitor production and alert to problems after they occur, this new generation of APM is used to eliminate the silos between production, test and development offering, for the first time, a proven proactive approach to application performance and availability management. New generation APM will redefine the category and emerge as the practical, proven successor to the failed mega-framework vendor vision of the last decade.

“2014 will bring transformative changes in IT - not just to meet the needs of today’s app-driven businesses, the explosion of mobile usage and the adoption of big data strategies - but also in the fundamental IT methodologies that guide businesses as they grow and compete,” said John Van Siclen, General Manager of Compuware’s APM business unit. “The role of new generation APM will expand to play a much larger role in the IT world of the future, and will emerge as a strategic framework to replace failed practices of the past decade.”

Steve Tack is VP of Product Management, Compuware's Application Performance Management (APM) Business Unit.

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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 ...

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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 ...

Top 5 Technology Predictions for 2014

Steve Tack

Compuware Corporation announced its top technology predictions for 2014:

Prediction 1: A new practice will emerge – AppOps

To accelerate application innovation through tighter IT-Business alignment, AppOps will surface. Digital business is upon us everywhere, and digital business leaders will continue to align IT for business advantage.

AppOps aligns development, production operations and business application owners in an effort to drive greater innovation to market faster with more application releases per month, per week, per day than ever before. The concepts of Agile development and DevOps are already giving way to the notion of Continuous Deployment. This push by business leaders will require IT to rethink and retool for a much more dynamic world.

Prediction 2: Mobile Applications as a Unique Phenomenon Will Disappear

Not only will there be more mobile applications and users than ever before, but they will be reabsorbed into the core IT and business processes of their companies. Mobile, native, web, and store as separate engagement channels will give way to "Omni-Channel" application development, monitoring and management. User experience, user behavior and cross-channel analytics will be vital business differentiators by the time we reach the 2014 holiday season.

Prediction 3: The Big Data Buzz Will Quiet as it Shifts From Hype to Reality

Big data must pass through the "trough of disillusionment" before it can emerge as a mainstream technology in 2015. In 2014, big data production shops will look for smarter ways to scale their fast growing, elastic environments. Their drive for faster, near real-time analytics will push early leaders beyond logs and free tools toward more proven approaches provided by specialized, new generation APM solutions. For those standing up big data for the first time, whether Hadoop, NoSQL or both, companies will look to simplify development to deployment with the newest methodologies and tooling.

New generation APM with specialized big data capabilities will emerge as a key enabler for successful big data projects.

Prediction 4: The Age Old Disciplines of ITIL and ITSM Will be Heavily Challenged in 2014

These disciplines, built on sound principles and methodologies, have guided IT leaders for over two decades. However, the pace of change, the business impact of applications, and the dynamic complexity of "the Internet of Things" are quickly making ITIL and ITSM less relevant. For many, they are anchors holding back the very innovation and change businesses require to survive and thrive. This business reality will drive IT to change, and in this disruption IT will look to dynamic, real-time, smart systems and tooling to build upon. As a result, the role of APM will expand to play a much larger role in the IT world of the future.

Prediction 5: New Generation APM Will Emerge as a Strategic IT Framework for Modern, Composite Applications

Composite applications will be used to speed innovation, eliminate guesswork and assure optimal end-user experience. Unlike old APM tools used to monitor production and alert to problems after they occur, this new generation of APM is used to eliminate the silos between production, test and development offering, for the first time, a proven proactive approach to application performance and availability management. New generation APM will redefine the category and emerge as the practical, proven successor to the failed mega-framework vendor vision of the last decade.

“2014 will bring transformative changes in IT - not just to meet the needs of today’s app-driven businesses, the explosion of mobile usage and the adoption of big data strategies - but also in the fundamental IT methodologies that guide businesses as they grow and compete,” said John Van Siclen, General Manager of Compuware’s APM business unit. “The role of new generation APM will expand to play a much larger role in the IT world of the future, and will emerge as a strategic framework to replace failed practices of the past decade.”

Steve Tack is VP of Product Management, Compuware's Application Performance Management (APM) Business Unit.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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 ...