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The Future of Application Performance Management: Modern APM

Stephen Pierzchala

With business profitability depending on fast, reliable web applications, superior application performance has never been more critical. But delivering high-performing applications can be extremely difficult. IT organizations find themselves squeezed between mounting complexity in the application delivery chain, increased user and business demand, and the manpower and funding to keep up.

At Compuware, we’ve long recognized the need for an end-user focused approach to application performance management (APM). But today’s businesses need approaches that extend further, offering the deepest and broadest insights into application performance and business impact, combined with cost-efficiency and the fastest time-to-value.

Modern APM solutions can deliver these benefits through a single cloud-based environment offering the following capabilities:

- Real User Monitoring: Delivers a complete view of application performance and actual end user experience for all users, browsers, devices and geographies. It also measures every transaction, 24/7, in production.

- Synthetic Monitoring: Provides an “outside-in” perspective of web, mobile and cloud application availability and service levels. It identifies when key pages and transactions are slow or unavailable from multiple geographies around the world, before customers are impacted.

Previously, IT organizations would have to invest in multiple tools that had little or no integration in order to do synthetic and real user monitoring, and analyze that combined data. IT organizations are now able to purchase, deploy and manage a single APM as-a-Service (APMaaS) product that provides insight into availability and performance from both real user and synthetic monitoring perspectives.

More specifically, this new approach to APM allows much stronger correlation between backbone and Last Mile synthetic results with the performance that real users are actually experiencing, and the business results of that performance.

With real user monitoring you will never truly detect an availability problem because no users will be hitting the site — while synthetic can tell you exactly where, when, and in many cases why an outage is occurring. Thanks to deep-dive diagnostics integrated with real user monitoring, IT organizations can now pinpoint anywhere across the delivery chain why application performance is slow, for which users and on what devices and browsers. This enables a complete picture of performance challenges in a “single pane of glass.”

- Third-Party Services: Assesses the performance of external services like CDNs, ads, social media and video and enables companies to instantly determine if a problem’s root cause is internal or due to a specific service provider. Businesses can also capture sessions for off-line analysis with third-party providers.

- Business Impact: Modern APM solutions can quantify the impact of application performance on real-user experience, customer satisfaction and business results. Businesses can track real-time conversions, abandonment and revenue alongside performance, which helps them prioritize action based on business facts.

These new capabilities outlined above make a true user experience management solution a reality, offering deeper and broader insight into application performance and enabling more effective problem isolation and triage. Modern APM delivers these capabilities along with the convenience, flexibility and fast time-to-value of a cloud-based environment.

Stephen Pierzchala, Technology Strategist, Compuware APM's Center of Excellence.

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The Future of Application Performance Management: Modern APM

Stephen Pierzchala

With business profitability depending on fast, reliable web applications, superior application performance has never been more critical. But delivering high-performing applications can be extremely difficult. IT organizations find themselves squeezed between mounting complexity in the application delivery chain, increased user and business demand, and the manpower and funding to keep up.

At Compuware, we’ve long recognized the need for an end-user focused approach to application performance management (APM). But today’s businesses need approaches that extend further, offering the deepest and broadest insights into application performance and business impact, combined with cost-efficiency and the fastest time-to-value.

Modern APM solutions can deliver these benefits through a single cloud-based environment offering the following capabilities:

- Real User Monitoring: Delivers a complete view of application performance and actual end user experience for all users, browsers, devices and geographies. It also measures every transaction, 24/7, in production.

- Synthetic Monitoring: Provides an “outside-in” perspective of web, mobile and cloud application availability and service levels. It identifies when key pages and transactions are slow or unavailable from multiple geographies around the world, before customers are impacted.

Previously, IT organizations would have to invest in multiple tools that had little or no integration in order to do synthetic and real user monitoring, and analyze that combined data. IT organizations are now able to purchase, deploy and manage a single APM as-a-Service (APMaaS) product that provides insight into availability and performance from both real user and synthetic monitoring perspectives.

More specifically, this new approach to APM allows much stronger correlation between backbone and Last Mile synthetic results with the performance that real users are actually experiencing, and the business results of that performance.

With real user monitoring you will never truly detect an availability problem because no users will be hitting the site — while synthetic can tell you exactly where, when, and in many cases why an outage is occurring. Thanks to deep-dive diagnostics integrated with real user monitoring, IT organizations can now pinpoint anywhere across the delivery chain why application performance is slow, for which users and on what devices and browsers. This enables a complete picture of performance challenges in a “single pane of glass.”

- Third-Party Services: Assesses the performance of external services like CDNs, ads, social media and video and enables companies to instantly determine if a problem’s root cause is internal or due to a specific service provider. Businesses can also capture sessions for off-line analysis with third-party providers.

- Business Impact: Modern APM solutions can quantify the impact of application performance on real-user experience, customer satisfaction and business results. Businesses can track real-time conversions, abandonment and revenue alongside performance, which helps them prioritize action based on business facts.

These new capabilities outlined above make a true user experience management solution a reality, offering deeper and broader insight into application performance and enabling more effective problem isolation and triage. Modern APM delivers these capabilities along with the convenience, flexibility and fast time-to-value of a cloud-based environment.

Stephen Pierzchala, Technology Strategist, Compuware APM's Center of Excellence.

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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 ...