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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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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 ...

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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.

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 ...