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Q&A Part Two: Gartner Talks About SaaS APM

Pete Goldin
APMdigest

In Part Two of APMdigest's exclusive interview, Jonah Kowall, Research Director in Gartner's IT Operations Research group, discusses SaaS APM - the new requirement for the 2012 Magic Quadrant for Application Performance Management.

Start with Q&A Part One: Gartner Talks About APM Cool Vendors

APM: Gartner is changing some of the requirements for the Magic Quadrant for Application Performance Monitoring. This year you are requiring all APM companies included in the report to offer a Software-as-a-Service (SaaS) option?

JK: Yes that is correct. At least a part of the offering. It does not need to be a full-blown implementation.

We are seeing more and more interest in SaaS solutions. The new requirement for the Magic Quadrant is driven by the requests that we get for SaaS deployment models, which is increasing. Vendors that are not really thinking about SaaS cannot keep up to speed with what is happening in the market.

In the future, we will put even more requirements around SaaS capabilities, and eventually we would like to have all the vendors in the Magic Quadrant for APM offer everything they can do on-premise as SaaS as well, so that customers will not have to choose on-premise for certain functionality. In the future all vendors' on-premise and SaaS offerings should have the same capabilities, but at this point the marketplace is not there yet.

APM: In terms of actual deployments, is SaaS APM becoming a mainstream solution, or is it still down the road?

JK: SaaS in general is definitely here. It is being adopted heavily. And I would say that APM-as-a-Service is definitely here now, too. Some of the vendors that are offering SaaS APM have substantial customer accounts and market penetration. And I'm talking about standard full-blown APM, let alone the synthetic transaction technologies that have been adopted as SaaS for a long time as well.

Through this year you will start to see significantly more offerings as full APM Software-as-a-Service, mostly driven by market demand. This is something that was immature a year ago but has snowballed its way to become a market driver.

APM: Do you see any challenges for SaaS APM adoption?

JK: SaaS is something that has been permeating every company and every industry. But for some reason the IT team has not been keeping up with the way the business side is adopting and using Software-as-a-Service. It seems like IT is behind what the business is doing, and how the business is exploiting technology. IT is very conservative and the business tends to be much more progressive. This is something the IT team is constantly struggling with as far staying relevant, staying ahead of the business. And in many ways now the business is setting much of the technology pace in the company. It is an interesting change that is slowly taking place.

APM: Does SaaS APM have to be completely agentless?

JK: No, it can be agent-based. The companies that offer full-blown APM-as-a-Service use agents, because they have the full functionality of being able to dig into the transaction and not just look at the users. The solutions that only look at user experience – whether it is synthetic or real users – can do that without agents, but when you want to dig into the actual application and the database, and understand the execution of the application, you still need to have agents there.

I think a trend is that some of the agentry will be embedded in the platforms for the public cloud, for example. So if you were to go to a public cloud and start up an instance, there could be an agent already in that instance that you do not need to configure per se.

We are starting to see some of that marketplace capability happening, where you can literally go to a website and click “instrument my application with product X” and it will deploy the agent and get your application instrumented. That is starting to happen, and you will see a lot more of that happening in the next month or two.

APM: Is there some aspect of APM specifically that makes it ideal for SaaS, or is it just that any application can be deployed that way?

JK: In the future, when you move to infrastructure-as-a-service (IaaS) in the public cloud or private cloud, or eventually platform-as-a-service (PaaS), you put your code up on the platform and your software executes. You don't worry about the infrastructure. At that point you don't need to monitor any of the infrastructure because it is hidden behind the PaaS or IaaS provider. APM is the only way you can understand how your code is actually executing and what the user is experiencing. APM is still very relevant in that world. APM becomes the only monitoring that you really need, besides possibly some network monitoring.

At that point you don't want to deal with managing the APM solution yourself, so going to an APM-as-a-Service type of solution can alleviate many of those concerns, and provide a more efficient way to deploy APM.

APM: How do you rate the industry overall, in terms of the vendors' ability to deliver SaaS?

JK: Sorry but I cannot comment on that while the research is in progress. We are targeting a Q3 release for the Magic Quadrant for Application Performance Monitoring.

Check back tomorrow for Part Three of the Q&A, when Jonah Kowall discusses other new requirements for the Magic Quadrant for APM, as well as challenges of APM deployments and Big Data.

ABOUT Jonah Kowall

Jonah Kowall is a research director in Gartner's IT Operations Research group. He focuses on application performance monitoring (APM), event correlation and analysis (ECA), network management systems (NMSs), network performance management (NPM), network configuration and change management (NCCM), and general system and infrastructure monitoring technologies. Previously Kowall managed a global team of engineers and managers for MFG.com, and was responsible for monitoring and enterprise management software and architecture at Thomson Reuters.

Related Links:

Q&A Part One: Gartner Talks About APM Cool Vendors

Q&A Part Three: Gartner Talks About Application Performance Management

Gartner's Five Dimensions of APM

Gartner Analyst Will Cappelli Talks about APM

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Q&A Part Two: Gartner Talks About SaaS APM

Pete Goldin
APMdigest

In Part Two of APMdigest's exclusive interview, Jonah Kowall, Research Director in Gartner's IT Operations Research group, discusses SaaS APM - the new requirement for the 2012 Magic Quadrant for Application Performance Management.

Start with Q&A Part One: Gartner Talks About APM Cool Vendors

APM: Gartner is changing some of the requirements for the Magic Quadrant for Application Performance Monitoring. This year you are requiring all APM companies included in the report to offer a Software-as-a-Service (SaaS) option?

JK: Yes that is correct. At least a part of the offering. It does not need to be a full-blown implementation.

We are seeing more and more interest in SaaS solutions. The new requirement for the Magic Quadrant is driven by the requests that we get for SaaS deployment models, which is increasing. Vendors that are not really thinking about SaaS cannot keep up to speed with what is happening in the market.

In the future, we will put even more requirements around SaaS capabilities, and eventually we would like to have all the vendors in the Magic Quadrant for APM offer everything they can do on-premise as SaaS as well, so that customers will not have to choose on-premise for certain functionality. In the future all vendors' on-premise and SaaS offerings should have the same capabilities, but at this point the marketplace is not there yet.

APM: In terms of actual deployments, is SaaS APM becoming a mainstream solution, or is it still down the road?

JK: SaaS in general is definitely here. It is being adopted heavily. And I would say that APM-as-a-Service is definitely here now, too. Some of the vendors that are offering SaaS APM have substantial customer accounts and market penetration. And I'm talking about standard full-blown APM, let alone the synthetic transaction technologies that have been adopted as SaaS for a long time as well.

Through this year you will start to see significantly more offerings as full APM Software-as-a-Service, mostly driven by market demand. This is something that was immature a year ago but has snowballed its way to become a market driver.

APM: Do you see any challenges for SaaS APM adoption?

JK: SaaS is something that has been permeating every company and every industry. But for some reason the IT team has not been keeping up with the way the business side is adopting and using Software-as-a-Service. It seems like IT is behind what the business is doing, and how the business is exploiting technology. IT is very conservative and the business tends to be much more progressive. This is something the IT team is constantly struggling with as far staying relevant, staying ahead of the business. And in many ways now the business is setting much of the technology pace in the company. It is an interesting change that is slowly taking place.

APM: Does SaaS APM have to be completely agentless?

JK: No, it can be agent-based. The companies that offer full-blown APM-as-a-Service use agents, because they have the full functionality of being able to dig into the transaction and not just look at the users. The solutions that only look at user experience – whether it is synthetic or real users – can do that without agents, but when you want to dig into the actual application and the database, and understand the execution of the application, you still need to have agents there.

I think a trend is that some of the agentry will be embedded in the platforms for the public cloud, for example. So if you were to go to a public cloud and start up an instance, there could be an agent already in that instance that you do not need to configure per se.

We are starting to see some of that marketplace capability happening, where you can literally go to a website and click “instrument my application with product X” and it will deploy the agent and get your application instrumented. That is starting to happen, and you will see a lot more of that happening in the next month or two.

APM: Is there some aspect of APM specifically that makes it ideal for SaaS, or is it just that any application can be deployed that way?

JK: In the future, when you move to infrastructure-as-a-service (IaaS) in the public cloud or private cloud, or eventually platform-as-a-service (PaaS), you put your code up on the platform and your software executes. You don't worry about the infrastructure. At that point you don't need to monitor any of the infrastructure because it is hidden behind the PaaS or IaaS provider. APM is the only way you can understand how your code is actually executing and what the user is experiencing. APM is still very relevant in that world. APM becomes the only monitoring that you really need, besides possibly some network monitoring.

At that point you don't want to deal with managing the APM solution yourself, so going to an APM-as-a-Service type of solution can alleviate many of those concerns, and provide a more efficient way to deploy APM.

APM: How do you rate the industry overall, in terms of the vendors' ability to deliver SaaS?

JK: Sorry but I cannot comment on that while the research is in progress. We are targeting a Q3 release for the Magic Quadrant for Application Performance Monitoring.

Check back tomorrow for Part Three of the Q&A, when Jonah Kowall discusses other new requirements for the Magic Quadrant for APM, as well as challenges of APM deployments and Big Data.

ABOUT Jonah Kowall

Jonah Kowall is a research director in Gartner's IT Operations Research group. He focuses on application performance monitoring (APM), event correlation and analysis (ECA), network management systems (NMSs), network performance management (NPM), network configuration and change management (NCCM), and general system and infrastructure monitoring technologies. Previously Kowall managed a global team of engineers and managers for MFG.com, and was responsible for monitoring and enterprise management software and architecture at Thomson Reuters.

Related Links:

Q&A Part One: Gartner Talks About APM Cool Vendors

Q&A Part Three: Gartner Talks About Application Performance Management

Gartner's Five Dimensions of APM

Gartner Analyst Will Cappelli Talks about APM

Hot Topic
The Latest
The Latest 10

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 ...