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The 5 Scariest Things About Application Performance Management

David Jones

With Halloween here, it is a fitting time to take a look at some of the most critical challenges facing companies as they put systems in place to optimize application performance in order to deliver great experiences to end-users. Application performance management (APM) has come a long way in a few short years, but despite the myriad solutions available in the market, many businesses still struggle with fundamental problems.

Demystifying common issues will help business and IT professionals as they evolve their APM strategies to successfully navigate and succeed in today’s hyper-connected world. That being said, optimizing application performance to deliver high-quality, frictionless user experiences across all devices and all channels isn’t easy, especially if you’re struggling with these frightening issues:

1. Sampling

Looking at an aggregate of what traffic analytics tell you about daily, weekly and monthly visits isn’t enough. And counting on a sampling of what users experience is also a scary approach for sure. Having a partial view of what is happening across your IT systems and applications is akin to trying to drive a car when someone is blindfolding you.

Load testing is commonplace these days, and although it is an important part of preparation for peak shopping times like the upcoming holidays, it is no substitute for real user monitoring. You need a comprehensive strategy that includes load testing, synthetic monitoring and real user monitoring to ensure you’re prepared for every visitor.

Not only does this limit your understanding of what’s happening across the app delivery chain, it leads to the next major scare that organizations face.

2. Learning about performance issues after they become problems

It’s Black Friday at 11 a.m., the phone rings and your boss screams: “Is our site down?” “Why are transactions slowing to a crawl?” “The call center is getting slammed with questions from customers asking why they can’t check out online – Fix It!” This is the nightmare scenario that plays out too often, but it doesn’t need to be that way.

Staying ahead of the performance game means having an APM solution that delivers real user monitoring of all transactions, 24x7x365. This will ensure you will see any and all issues as they develop, before customers do. This give you the ability to respond immediately and head off a heart-stopping call about issues that should have been avoided. If your customers are your ‘early warning system’ they are already frustrated and will likely start venting on social media – which can be incredibly damaging to your business’ reputation.

What’s scariest of all is that you will lose vital revenue and customers to the competition.

3. Problems identified without answers

Okay, let’s say that you’ve overcome the first two scares without having a heart attack. Here’s another that IT professionals hate: APM shows you there’s a problem, but you can’t pinpoint the exact cause. Combing through waterfall charts and logs – especially while racing against the clock to fix a problem – can feel like looking for needles in haystacks. When every minute can mean tens of thousands of dollars in lost revenue, the old adage ‘time is money’ is likely to be ringing in your ears.

What IT needs isn’t just more data; they need answers. That’s where the latest advancements in new-generation APM come in. Today, synthetic monitoring empowers businesses to detect, classify, identify and gather information on root causes of performance issues, provides instant triage, problem ranking and cause identification. ‘Smart analytics’ reduces hours of manual troubleshooting to a matter of seconds. (Not all APM solutions are the same, so you need to check with your vendor to make sure this is part of yours.)

4. Being blind to third-parties

Sometimes what you don’t know can kill you… or at least that’s the case with third-party services. Modern applications execute code on diverse edge devices, often calling services from a variety of third-party services well beyond the view of traditional monitoring systems. Sure, third-party services can improve end-user experiences and deliver functionality faster than standalone applications, but they have a dark side. They can increase complexity and page weights and decrease site performance to actually compromise the end-user experience.

Not only that, when a third party service goes down, whether it’s a Facebook 'like' button, 'bill me later' options, ad or web analytics, IT is often faced with a performance issue that’s not their fault, and not within their view. IT can solve this by making sure their APM system can see these services from the get-go, and map any performance issues to them. This is a best-practice approach nowadays that will turn this “Yikes!” moment into a “Yawn” moment.

5. Lack of visibility into performance in the cloud

A recent study with over 700 senior IT professionals revealed the vast majority of CIOs are dissatisfied with their cloud SLAs, feeling they are too simplistic, provide poor visibility, and don’t account for true business risks.

Lack of “eagle eye” visibility in the cloud can have devastating results. For example, let’s say that you’re on the IT team of a major e-Retailer, and you’ve done great work in preparing websites for the holiday rush. But when the big day comes, it turns out that the load testing you’ve done with your CDN isn’t playing out the way it was predicted – because they are getting hit with peak demand that wasn’t reflected when they were in test mode. If you can’t track and respond to it in real-time, you’ll be getting a lump of coal instead of a holiday bonus.

Whether you've launched a new app in a public cloud, or in your virtualized data center, full visibility across all cloud and on premise tiers – in one pane of glass – is the only way to maintain control. In this way, you’ll be able to detect regressions automatically and identify root cause in minutes.

I hope this review of APM best practices will help make Halloween – and the upcoming holiday shopping season – a little less scary and a lot more promising for you and your organization. Good luck!

David Jones is Field Technical Evangelist Director at Dynatrace.

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The 5 Scariest Things About Application Performance Management

David Jones

With Halloween here, it is a fitting time to take a look at some of the most critical challenges facing companies as they put systems in place to optimize application performance in order to deliver great experiences to end-users. Application performance management (APM) has come a long way in a few short years, but despite the myriad solutions available in the market, many businesses still struggle with fundamental problems.

Demystifying common issues will help business and IT professionals as they evolve their APM strategies to successfully navigate and succeed in today’s hyper-connected world. That being said, optimizing application performance to deliver high-quality, frictionless user experiences across all devices and all channels isn’t easy, especially if you’re struggling with these frightening issues:

1. Sampling

Looking at an aggregate of what traffic analytics tell you about daily, weekly and monthly visits isn’t enough. And counting on a sampling of what users experience is also a scary approach for sure. Having a partial view of what is happening across your IT systems and applications is akin to trying to drive a car when someone is blindfolding you.

Load testing is commonplace these days, and although it is an important part of preparation for peak shopping times like the upcoming holidays, it is no substitute for real user monitoring. You need a comprehensive strategy that includes load testing, synthetic monitoring and real user monitoring to ensure you’re prepared for every visitor.

Not only does this limit your understanding of what’s happening across the app delivery chain, it leads to the next major scare that organizations face.

2. Learning about performance issues after they become problems

It’s Black Friday at 11 a.m., the phone rings and your boss screams: “Is our site down?” “Why are transactions slowing to a crawl?” “The call center is getting slammed with questions from customers asking why they can’t check out online – Fix It!” This is the nightmare scenario that plays out too often, but it doesn’t need to be that way.

Staying ahead of the performance game means having an APM solution that delivers real user monitoring of all transactions, 24x7x365. This will ensure you will see any and all issues as they develop, before customers do. This give you the ability to respond immediately and head off a heart-stopping call about issues that should have been avoided. If your customers are your ‘early warning system’ they are already frustrated and will likely start venting on social media – which can be incredibly damaging to your business’ reputation.

What’s scariest of all is that you will lose vital revenue and customers to the competition.

3. Problems identified without answers

Okay, let’s say that you’ve overcome the first two scares without having a heart attack. Here’s another that IT professionals hate: APM shows you there’s a problem, but you can’t pinpoint the exact cause. Combing through waterfall charts and logs – especially while racing against the clock to fix a problem – can feel like looking for needles in haystacks. When every minute can mean tens of thousands of dollars in lost revenue, the old adage ‘time is money’ is likely to be ringing in your ears.

What IT needs isn’t just more data; they need answers. That’s where the latest advancements in new-generation APM come in. Today, synthetic monitoring empowers businesses to detect, classify, identify and gather information on root causes of performance issues, provides instant triage, problem ranking and cause identification. ‘Smart analytics’ reduces hours of manual troubleshooting to a matter of seconds. (Not all APM solutions are the same, so you need to check with your vendor to make sure this is part of yours.)

4. Being blind to third-parties

Sometimes what you don’t know can kill you… or at least that’s the case with third-party services. Modern applications execute code on diverse edge devices, often calling services from a variety of third-party services well beyond the view of traditional monitoring systems. Sure, third-party services can improve end-user experiences and deliver functionality faster than standalone applications, but they have a dark side. They can increase complexity and page weights and decrease site performance to actually compromise the end-user experience.

Not only that, when a third party service goes down, whether it’s a Facebook 'like' button, 'bill me later' options, ad or web analytics, IT is often faced with a performance issue that’s not their fault, and not within their view. IT can solve this by making sure their APM system can see these services from the get-go, and map any performance issues to them. This is a best-practice approach nowadays that will turn this “Yikes!” moment into a “Yawn” moment.

5. Lack of visibility into performance in the cloud

A recent study with over 700 senior IT professionals revealed the vast majority of CIOs are dissatisfied with their cloud SLAs, feeling they are too simplistic, provide poor visibility, and don’t account for true business risks.

Lack of “eagle eye” visibility in the cloud can have devastating results. For example, let’s say that you’re on the IT team of a major e-Retailer, and you’ve done great work in preparing websites for the holiday rush. But when the big day comes, it turns out that the load testing you’ve done with your CDN isn’t playing out the way it was predicted – because they are getting hit with peak demand that wasn’t reflected when they were in test mode. If you can’t track and respond to it in real-time, you’ll be getting a lump of coal instead of a holiday bonus.

Whether you've launched a new app in a public cloud, or in your virtualized data center, full visibility across all cloud and on premise tiers – in one pane of glass – is the only way to maintain control. In this way, you’ll be able to detect regressions automatically and identify root cause in minutes.

I hope this review of APM best practices will help make Halloween – and the upcoming holiday shopping season – a little less scary and a lot more promising for you and your organization. Good luck!

David Jones is Field Technical Evangelist Director at Dynatrace.

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.