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The Confusing Flavors of APM

Jim Swepson

Attending Interop in Vegas last month, I was surprised to note the number of vendors exhibiting their wares under the banner of APM – Application Performance Management. With all the different offerings, it was rather confusing.

It got me thinking about a trip I’d taken the night before to an ice-cream parlour. I love ice-cream, and at the parlour there were plenty of flavors on offer. With APM, as with ice-cream, meeting customer demand is key — one flavor doesn’t suit everyone.

I’ve been aware of APM for a good number of years but it’s only recently that companies are taking performance of applications (as opposed to availability) seriously. It can be a bit confusing for anyone venturing into this area, but with more cloud and virtual solutions being taken up, the importance of application performance over networks becomes paramount as networks, of all sorts, form a critical part of the delivery.

So what are the flavors of APM? According to Bojan Simic, an analyst with TRAC Research, "APM consists of multiple underlying technologies and nine sub-markets that cover buyers’ requirements” and he goes on to say that ”the APM market is not well defined and end-user organizations often find it challenging to understand what APM technologies are relevant for their specific needs."

No wonder it’s confusing to the customer who has a need - it sounds like the market itself is offering many solutions around APM, but, somehow you have to work out for yourself, which one will best meet your needs. There doesn’t seem to be no-one flavor that suits all…

APM is a term that has been invented relatively recently. Clearly, the name should say it all - “Application Performance Management”, but there are two general approaches: Those tools that deal with Application Performance e.g. "response time" and "throughput", and those that deal with "infrastructural issues" which lead to poor application performance e.g. running out of network bandwidth.

The latter have pre-existed the name APM and in a sense are not truly APM tools at all, but they are now often bundled into this terminology as infrastructure performance issues inevitably lead to Application Performance Issues.

But there are other important aspects of APM, e.g. Enterprise Management Associates recently completed their EMA Radar for Application-Aware Network Performance Management 2013. In the report, EMA VP of Research, Jim Frey, talks about how there is now "a focus on recognizing and eliminating performance degradations".

From my perspective this fits in nicely with my view of APM, it may have a different title, but fundamentally it’s about keeping your application performing well, but with greater understanding of the issues.

In the end though, it’s going to be up to you, the client, to decide what flavor of APM suits your environment (server focused, client focused, network focused, investigative etc.), and if Interop 2013 is anything to go by, there is a plethora of options to choose from.

If you can’t get out of the office, then check out blog sites such as APMdigest and analyst information such as Ovum Group’s Solution Guide: Application Performance Management — as with TRAC and EMA, there is a good overview of not only the differing vendor offerings, but also what now constitutes APM.

So like ice cream there may be many flavors, just make sure you know which flavors suits your business needs and when you’ve chosen your flavor you can choose from the brands that deliver it.

Jim Swepson is Pre-sales Technologist at Itrinegy.

Related Links:

www.itrinegy.com

TRAC Research APM Spectrum

EMA Radar for Application-Aware Network Performance Management 2013

Ovum Solution Guide for APM

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The Confusing Flavors of APM

Jim Swepson

Attending Interop in Vegas last month, I was surprised to note the number of vendors exhibiting their wares under the banner of APM – Application Performance Management. With all the different offerings, it was rather confusing.

It got me thinking about a trip I’d taken the night before to an ice-cream parlour. I love ice-cream, and at the parlour there were plenty of flavors on offer. With APM, as with ice-cream, meeting customer demand is key — one flavor doesn’t suit everyone.

I’ve been aware of APM for a good number of years but it’s only recently that companies are taking performance of applications (as opposed to availability) seriously. It can be a bit confusing for anyone venturing into this area, but with more cloud and virtual solutions being taken up, the importance of application performance over networks becomes paramount as networks, of all sorts, form a critical part of the delivery.

So what are the flavors of APM? According to Bojan Simic, an analyst with TRAC Research, "APM consists of multiple underlying technologies and nine sub-markets that cover buyers’ requirements” and he goes on to say that ”the APM market is not well defined and end-user organizations often find it challenging to understand what APM technologies are relevant for their specific needs."

No wonder it’s confusing to the customer who has a need - it sounds like the market itself is offering many solutions around APM, but, somehow you have to work out for yourself, which one will best meet your needs. There doesn’t seem to be no-one flavor that suits all…

APM is a term that has been invented relatively recently. Clearly, the name should say it all - “Application Performance Management”, but there are two general approaches: Those tools that deal with Application Performance e.g. "response time" and "throughput", and those that deal with "infrastructural issues" which lead to poor application performance e.g. running out of network bandwidth.

The latter have pre-existed the name APM and in a sense are not truly APM tools at all, but they are now often bundled into this terminology as infrastructure performance issues inevitably lead to Application Performance Issues.

But there are other important aspects of APM, e.g. Enterprise Management Associates recently completed their EMA Radar for Application-Aware Network Performance Management 2013. In the report, EMA VP of Research, Jim Frey, talks about how there is now "a focus on recognizing and eliminating performance degradations".

From my perspective this fits in nicely with my view of APM, it may have a different title, but fundamentally it’s about keeping your application performing well, but with greater understanding of the issues.

In the end though, it’s going to be up to you, the client, to decide what flavor of APM suits your environment (server focused, client focused, network focused, investigative etc.), and if Interop 2013 is anything to go by, there is a plethora of options to choose from.

If you can’t get out of the office, then check out blog sites such as APMdigest and analyst information such as Ovum Group’s Solution Guide: Application Performance Management — as with TRAC and EMA, there is a good overview of not only the differing vendor offerings, but also what now constitutes APM.

So like ice cream there may be many flavors, just make sure you know which flavors suits your business needs and when you’ve chosen your flavor you can choose from the brands that deliver it.

Jim Swepson is Pre-sales Technologist at Itrinegy.

Related Links:

www.itrinegy.com

TRAC Research APM Spectrum

EMA Radar for Application-Aware Network Performance Management 2013

Ovum Solution Guide for APM

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.