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A New Approach for Digital Performance

Creating one perspective to align business & technology objectives
Nicolas Robbe

As Kristopher Baxter from Netflix wrote in a recent post, “high performance is not an optional engineering goal – it's a requirement for creating great user-experiences.”

As a CMO, I could not agree more. In fact, I would even argue that for the business, application performance is only relevant if it correlates to meaningful user experiences and conversion metrics. The most common challenge hindering companies from realizing the full promise of application performance solutions has been the lack of a common language, and business-relevant metrics to measure monitor and set targets for customer experiences. The organizational divisions that separate development, IT operations and business teams have led to varied and disparate perspectives on end-user experience, how performance impacts business, and the level of investments needed to consistently excel.

After all, if development or IT teams can’t share a perspective on the end-user experience with marketing or eCommerce teams, how possibly can these groups effectively collaborate to create and execute a unified, cohesive plan to consistently improve what the business cares about?

Everyone understands that apps now drive business success, and that all parts of the organization share responsibility for ensuring that application performance is up to the challenge. But to really move beyond the traditional APM mindset, where performance is seen as a technical problem, marketing and business leaders across global industries are in need of new approach to monitoring. An approach that starts and end with the user experience.

Enter the Customer Experience Cockpit

It is one thing to gather data and intelligence about digital elements that affect end-users' experiences, whether those users are internal or external customers. But making it easy for everyone to view, trust, interpret, digest and put it to good use is quite another.

One approach that every digital organization should adopt is establishing a shared “Customer Experience Cockpit” where Digital business owners, development and IT operations can collaborate on a shared, real-time dashboard focused squarely on end-user experience. Think of it as a NOC focused on metrics the business cares about. What digital businesses have lacked for a long time is graphical, real-time view of their users' satisfaction — not just binary pass/fail metrics or page views. What is needed is an easy-to-consume, holistic view into individual end-to-end experience that offers easy detection and quick response to changing demands of their users.

Actionable intelligence on end-user experience, shared with business and technology leaders in a way that is meaningful to all has always been a key focus area for Dynatrace.

Here are the three keys of an effective customer experience cockpit:

1. A simple, real-time customer satisfaction metric or “index” that correlates million of performance measurements, and and each user individual context, like which phone they use or connection they are on, to estimate how each one perceives their experience.

2. Explorative analytics to quickly identify which patterns are problems. Is it users in a specific state or country? Is it a specific type of phone or browser causing the issue? Is it a specific landing page causing an issue?

3. Unified data, that contains the high level customer experience information, correlated with the associated deep technical data, so that any customer experience issue can be investigated, understood and resolved in minutes, not days or weeks.

The future success of digital performance management will be cemented in its ability to transform data into actionable insights in the most efficient, meaningful manner possible for all participants. By sharing this knowledge in a way that makes sense to every stakeholder in light of their varied missions, tomorrow’s leaders will have an unshakable advantage as they work to meet end-user expectations and their organizations competitiveness in the evolving digital economy.

Nicolas Robbe is CMO at Dynatrace.

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A New Approach for Digital Performance

Creating one perspective to align business & technology objectives
Nicolas Robbe

As Kristopher Baxter from Netflix wrote in a recent post, “high performance is not an optional engineering goal – it's a requirement for creating great user-experiences.”

As a CMO, I could not agree more. In fact, I would even argue that for the business, application performance is only relevant if it correlates to meaningful user experiences and conversion metrics. The most common challenge hindering companies from realizing the full promise of application performance solutions has been the lack of a common language, and business-relevant metrics to measure monitor and set targets for customer experiences. The organizational divisions that separate development, IT operations and business teams have led to varied and disparate perspectives on end-user experience, how performance impacts business, and the level of investments needed to consistently excel.

After all, if development or IT teams can’t share a perspective on the end-user experience with marketing or eCommerce teams, how possibly can these groups effectively collaborate to create and execute a unified, cohesive plan to consistently improve what the business cares about?

Everyone understands that apps now drive business success, and that all parts of the organization share responsibility for ensuring that application performance is up to the challenge. But to really move beyond the traditional APM mindset, where performance is seen as a technical problem, marketing and business leaders across global industries are in need of new approach to monitoring. An approach that starts and end with the user experience.

Enter the Customer Experience Cockpit

It is one thing to gather data and intelligence about digital elements that affect end-users' experiences, whether those users are internal or external customers. But making it easy for everyone to view, trust, interpret, digest and put it to good use is quite another.

One approach that every digital organization should adopt is establishing a shared “Customer Experience Cockpit” where Digital business owners, development and IT operations can collaborate on a shared, real-time dashboard focused squarely on end-user experience. Think of it as a NOC focused on metrics the business cares about. What digital businesses have lacked for a long time is graphical, real-time view of their users' satisfaction — not just binary pass/fail metrics or page views. What is needed is an easy-to-consume, holistic view into individual end-to-end experience that offers easy detection and quick response to changing demands of their users.

Actionable intelligence on end-user experience, shared with business and technology leaders in a way that is meaningful to all has always been a key focus area for Dynatrace.

Here are the three keys of an effective customer experience cockpit:

1. A simple, real-time customer satisfaction metric or “index” that correlates million of performance measurements, and and each user individual context, like which phone they use or connection they are on, to estimate how each one perceives their experience.

2. Explorative analytics to quickly identify which patterns are problems. Is it users in a specific state or country? Is it a specific type of phone or browser causing the issue? Is it a specific landing page causing an issue?

3. Unified data, that contains the high level customer experience information, correlated with the associated deep technical data, so that any customer experience issue can be investigated, understood and resolved in minutes, not days or weeks.

The future success of digital performance management will be cemented in its ability to transform data into actionable insights in the most efficient, meaningful manner possible for all participants. By sharing this knowledge in a way that makes sense to every stakeholder in light of their varied missions, tomorrow’s leaders will have an unshakable advantage as they work to meet end-user expectations and their organizations competitiveness in the evolving digital economy.

Nicolas Robbe is CMO at Dynatrace.

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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 ...

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 ...