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The APM Word of the Decade is: EPHEMERAL! - Part 2

Chris Farrell

Whether you consider the first generation of APM or the updates that followed for SOA and microservices, the most basic premise of the tools remains the same — PROVIDE VISIBILITY.

Start with The APM Word of the Decade is: EPHEMERAL! - Part 1

"Distributed" was The Word for 2010

Eventually, new application platforms appeared, and Service Oriented Architecture became the model of choice for building enterprise applications. This helped development and operations teams react faster to market needs and build software faster — but the centralized aspect of monolithic applications disappeared, which created performance management challenges.

Developers were able to build applications encompassing more complex processes. SOA was also a catalyst for development strategies that focused on re-using building blocks and beginning to think of organizations as software factories.

The biggest difference between standard J2EE applications and SOA applications can be summed up in one word — Distributed.

Without a singular central core of business logic that gated all requests, the first-generation tools struggled. All those visibility holes they filled in reappeared in distributed environments.

New features became a requirement for distributed applications — with component discovery and mapping the most visible of those, with some sampled tracing and production profiling as well.

These requirements were the basis of a new — and very successful — generation of tools that were purpose built to deal with distributed applications. These tools allowed for flexible architectural design, provided end-to-end mapping and could be configured to understand the different relationships that could exist in a complex distributed app.

The Word for the Twenties? Ephemeral — Yes, Ephemeral

Dictionary.com defines ‘ephemeral' as "lasting a very short time; short-lived; transitory."

Why is ephemeral the defining word for APM this decade? To understand, we have to back up just a bit.

A few years ago, application technology shifted again with the introduction of containers and microservices. Unlike previous introductions of new application technologies, containers became a smashing hit — FAST — even in the enterprise. What took Java almost a decade to achieve (enterprise acceptance and prevalent usage), containers achieved in 2-3 years.

One of the more endearing container concepts is the ability to spin up new containers whenever needed to deliver more scalable applications through on-demand resources.

Yes, Containers — But Microservices, Too

If containers was the only recent application breakthrough, that would be ephemeral enough, but containers are just the beginning of the dynamic nature of modern applications.

The microservices-based architecture enables a new way of thinking about designing, building, deploying and updating application components, becoming even more distributed and changing the way technology platforms are chosen and used.

But Wait, There's More — or is it Less?

As if that weren't enough, now consider functions running on Serverless platforms. The most recognizable is AWS Lambda, but each cloud provider has a version of Serverless that provides the least amount of possible resources needed to execute a small piece of repeatable code

So the answer to the question "what's ephemeral about modern applications?" is "Well — everything!"

Managing performance of such dynamic applications requires the automated visibility introduced by the first generation of tools, the dynamic mapping associated with the second generation, PLUS the understanding that change is constant.

And that means being able to do some things in real time — detect new or updated infrastructure, detect changes to the application code, and trace all requests since each one is probably different. And last, but not least, is the ability to provide immediate feedback whenever an update occurs.

After all, the importance and need for Application Performance Management tools is the same as it was twenty years ago — to help optimize the user experience by minimizing service impacts and solving problems quickly when they occur.

It's more important today to a much broader set of customers because applications ARE the business in many cases. The nice thing is that new APM vendors come along to solve new problems — so that you can keep your applications running at optimum levels.

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AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

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Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

The APM Word of the Decade is: EPHEMERAL! - Part 2

Chris Farrell

Whether you consider the first generation of APM or the updates that followed for SOA and microservices, the most basic premise of the tools remains the same — PROVIDE VISIBILITY.

Start with The APM Word of the Decade is: EPHEMERAL! - Part 1

"Distributed" was The Word for 2010

Eventually, new application platforms appeared, and Service Oriented Architecture became the model of choice for building enterprise applications. This helped development and operations teams react faster to market needs and build software faster — but the centralized aspect of monolithic applications disappeared, which created performance management challenges.

Developers were able to build applications encompassing more complex processes. SOA was also a catalyst for development strategies that focused on re-using building blocks and beginning to think of organizations as software factories.

The biggest difference between standard J2EE applications and SOA applications can be summed up in one word — Distributed.

Without a singular central core of business logic that gated all requests, the first-generation tools struggled. All those visibility holes they filled in reappeared in distributed environments.

New features became a requirement for distributed applications — with component discovery and mapping the most visible of those, with some sampled tracing and production profiling as well.

These requirements were the basis of a new — and very successful — generation of tools that were purpose built to deal with distributed applications. These tools allowed for flexible architectural design, provided end-to-end mapping and could be configured to understand the different relationships that could exist in a complex distributed app.

The Word for the Twenties? Ephemeral — Yes, Ephemeral

Dictionary.com defines ‘ephemeral' as "lasting a very short time; short-lived; transitory."

Why is ephemeral the defining word for APM this decade? To understand, we have to back up just a bit.

A few years ago, application technology shifted again with the introduction of containers and microservices. Unlike previous introductions of new application technologies, containers became a smashing hit — FAST — even in the enterprise. What took Java almost a decade to achieve (enterprise acceptance and prevalent usage), containers achieved in 2-3 years.

One of the more endearing container concepts is the ability to spin up new containers whenever needed to deliver more scalable applications through on-demand resources.

Yes, Containers — But Microservices, Too

If containers was the only recent application breakthrough, that would be ephemeral enough, but containers are just the beginning of the dynamic nature of modern applications.

The microservices-based architecture enables a new way of thinking about designing, building, deploying and updating application components, becoming even more distributed and changing the way technology platforms are chosen and used.

But Wait, There's More — or is it Less?

As if that weren't enough, now consider functions running on Serverless platforms. The most recognizable is AWS Lambda, but each cloud provider has a version of Serverless that provides the least amount of possible resources needed to execute a small piece of repeatable code

So the answer to the question "what's ephemeral about modern applications?" is "Well — everything!"

Managing performance of such dynamic applications requires the automated visibility introduced by the first generation of tools, the dynamic mapping associated with the second generation, PLUS the understanding that change is constant.

And that means being able to do some things in real time — detect new or updated infrastructure, detect changes to the application code, and trace all requests since each one is probably different. And last, but not least, is the ability to provide immediate feedback whenever an update occurs.

After all, the importance and need for Application Performance Management tools is the same as it was twenty years ago — to help optimize the user experience by minimizing service impacts and solving problems quickly when they occur.

It's more important today to a much broader set of customers because applications ARE the business in many cases. The nice thing is that new APM vendors come along to solve new problems — so that you can keep your applications running at optimum levels.

Hot Topics

The Latest

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...