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APM - It's All About the Speed

Jim Swepson

We have all been aware of the importance of managing performance for many years and traditionally the main focus has been on the availability of our internal systems (systems/server application management). APM on the other hand is helping companies to gain a good understanding of their application performance and a key aspect of this is visibility on how applications perform across all types of networks.

Availability has become, over the past decade, an intrinsic requirement in all application performance whether it is internal or external applications. We don’t think about it quite so much, but what is becoming increasingly essential is speed.

Ten years ago when I came into the office I would switch on my PC and whilst waiting for it to boot up, I had sufficient time to go to the kitchen and make a drink, then come back and my PC would be ready. That was then – this is now: Today we turn on our laptops, desktops and tablets and expect them to work almost instantaneously.

This is becoming a typical expectation in today's world where something might be available, but if it isn't fast enough then we are no longer willing to wait. We might feel irritation or even go elsewhere.

This is where APM scores! It is no longer about availability. In the past, for example, an SLA focused on availability. But in these modern times, we are looking at speed as in important component of an SLA. There is an increased focus on the end-user experience and they want an instantaneous response! It needs to be FAST! And it needs to be now!

So what are some of the issues that can make an application perform slowly:

- Long download times on start-up

- Congestion/contention

- Limited bandwidth

- Bad link

- Jitter, loss and latency

A few months back I was working with a company that had virtualized their IT environment, consolidating all their servers from around Europe to the UK. At the same time, they had a new customer facing application that was crucial to how they did business. It wasn't long before they discovered that a 750K xml file was being loaded to every client PC at start-up and this took an average of 7.5s to serve. Users were not happy! With the help of an Application Performance Management solution, the organization was able to ascertain what the problem was and get it fixed. Without the use of an APM tool, they would have had a much tougher time trying to figure out a cost-effective solution.

I recently looked on a website that contained some interesting website stats, and if they are to be believed, website users have a very small window of around 2 seconds before going elsewhere! Now this is probably not the case within IT, we are a bit more patient, but still, it begs the thought: When is available, but slow, no longer good enough?

Jim Swepson is Pre-sales Technologist at Itrinegy.

Related Links:

www.itrinegy.com

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APM - It's All About the Speed

Jim Swepson

We have all been aware of the importance of managing performance for many years and traditionally the main focus has been on the availability of our internal systems (systems/server application management). APM on the other hand is helping companies to gain a good understanding of their application performance and a key aspect of this is visibility on how applications perform across all types of networks.

Availability has become, over the past decade, an intrinsic requirement in all application performance whether it is internal or external applications. We don’t think about it quite so much, but what is becoming increasingly essential is speed.

Ten years ago when I came into the office I would switch on my PC and whilst waiting for it to boot up, I had sufficient time to go to the kitchen and make a drink, then come back and my PC would be ready. That was then – this is now: Today we turn on our laptops, desktops and tablets and expect them to work almost instantaneously.

This is becoming a typical expectation in today's world where something might be available, but if it isn't fast enough then we are no longer willing to wait. We might feel irritation or even go elsewhere.

This is where APM scores! It is no longer about availability. In the past, for example, an SLA focused on availability. But in these modern times, we are looking at speed as in important component of an SLA. There is an increased focus on the end-user experience and they want an instantaneous response! It needs to be FAST! And it needs to be now!

So what are some of the issues that can make an application perform slowly:

- Long download times on start-up

- Congestion/contention

- Limited bandwidth

- Bad link

- Jitter, loss and latency

A few months back I was working with a company that had virtualized their IT environment, consolidating all their servers from around Europe to the UK. At the same time, they had a new customer facing application that was crucial to how they did business. It wasn't long before they discovered that a 750K xml file was being loaded to every client PC at start-up and this took an average of 7.5s to serve. Users were not happy! With the help of an Application Performance Management solution, the organization was able to ascertain what the problem was and get it fixed. Without the use of an APM tool, they would have had a much tougher time trying to figure out a cost-effective solution.

I recently looked on a website that contained some interesting website stats, and if they are to be believed, website users have a very small window of around 2 seconds before going elsewhere! Now this is probably not the case within IT, we are a bit more patient, but still, it begs the thought: When is available, but slow, no longer good enough?

Jim Swepson is Pre-sales Technologist at Itrinegy.

Related Links:

www.itrinegy.com

How Loading Time Affects Your Bottom Line

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...