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Q&A: IDC Talks About APM

Pete Goldin
APMdigest

In APMdigest's exclusive interview, Mary Johnston Turner, Research Vice President in IDC's Enterprise System Management Software practice, discusses Application Performance Management and related topics covered in recent IDC reports including IDC MarketScape: Worldwide Production APM Software as a Service 2013 Vendor Analysis.

APM: How do emerging technologies – particularly mobile and social business – drive an increased need for APM?

MJT: Over the last several years, application environments have become much more dynamic due to the adoption of virtualization, cloud, mobility, social business and big data.

Mobility and social business provide end users a new level of personalization and real-time applications but end user experiences can be unpredictable given the myriad of mobile devices, browsers and apps that are available. Mobile and social apps tend to be released quickly and updated continually so developers and service providers need to know immediately if there are problems with the code or if users are experiencing unexpected problems.

With all the complexity and interdependencies in today's environments it can be difficult to rapidly isolate the source of problems and to provide developers and IT operations team with enough of the right kind of information so that they can remediate those problems quickly.

In contrast to older APM solutions that were often difficult to configure and maintain, a new generation of APM solutions is emerging that is more suited to the needs of modern mobile and social applications environments. They are designed to be used by a wide range of IT operations, development and line of business professionals and are easier to deploy and manage while still providing sophisticated information about the status of the code, the browser, the mobile app and the end user experience.

APM: Do you feel the acceptance of SaaS will impact the growth in adoption of APM in general?

MJT: In the early days, SaaS was often seen as a lightweight alternative to more sophisticated enterprise scale on premise APM software options. However, as the use of SaaS delivery platforms has matured, robust APM SaaS offerings are coming to market. Customers that want to get started with APM for little or no up-front cost can take advantage of free services and get value quickly using self-service activation tools. User interfaces, navigation and analytics are becoming much more intuitive. Many of the SaaS APM solutions come with significant pre-built reports and models, allowing organizations to quickly get that time to value.

Beyond that, APM SaaS options allow organizations to ramp up use of APM as needed overtime and match spending to business need. Overall, the barriers to implementing APM are much lower than they used to be at a time when the need for APM is greater than ever. I expect that SaaS delivered APM will definitely help to expand the overall APM market.

APM: What should a potential APM buyer be looking for in an APM SaaS solution?

MJT: Traditionally many APM products focused on Java, or .Net, however, many of today's applications are being written in PHP, Ruby, Python and other languages. Support for mobile as well as traditional desktop applications is also critical. It is critical to make sure that the solution supports your top priority application environments.

Similarly, the APM solutions needs insight into the infrastructure supporting the application so the ability to monitor across public clouds, virtualized environment or even on physical infrastructures is important – particularly for multi-tier applications where different tiers live in different infrastructure environments.

Beyond that, buyers should focus on ease of use and time to value. For example, look for services that can be activated easily.

A SaaS APM solution should have good graphics and visualization and the ability to integrate data from a wide range of sources to help IT and developer teams monitor performance efficiently and troubleshoot problems quickly.

The ability to customize different views of the APM data for different roles and the capability to develop custom reports are important, as are advanced analytics and root cause diagnostics that can help correlate data and get down to root cause quickly.

Finally, the ability to scale up in terms of numbers of users, devices, and transactions is vital as is the ability to scale down in situations where the use of the application varies over time.

APM: In terms of app development, do you feel quality – and therefore APM – will become a priority over fast innovation and time to market?

MJT: I think successful companies and the applications they rely on to do business will have to meet the speed and quality test simultaneously. We are way past the days were customers will applaud innovators if the application crashes or performance is unpredictable. Most business is done online today and customers can quickly move their business elsewhere if the application doesn't perform. The need for consistent user experiences and application quality will only increase over time but it cannot be overlooked today.

ABOUT Mary Johnston Turner

Mary Johnston Turner, IDC Research Vice President, Enterprise Systems Management Software, drives IDC's forecasts and analysis of many IT management software markets including public and private cloud operations, data center automation, virtualization management and performance and availability management. She is a major contributor to IDC's annual IT industry predictions process.

Each year, Turner surveys and interviews hundreds of IT decision makers on priorities for IT spending and strategic IT initiatives. She has conducted extensive research on cloud management strategies and changes in the performance management software market. Turner also examines the priorities around mobile interfaces and control points for enterprise scale system management solutions. Her systems management software coverage is published in IDC's Enterprise Systems Management Software service while her analysis of cloud management software is published in IDC's IT Cloud Decision Economics service.

Turner is a 25 year veteran of the IT research and advisory services business. She is widely published and quoted in many major business and trade publications, and is a frequent speaker at industry events. Turner has been with IDC since 2008. Prior to joining IDC she held senior analyst and consulting positions at Ovum, Summit Strategies, Northeast Consulting Resources and Yankee Group. She holds a Masters of Public Policy (M.P.P.) degree from Harvard's Kennedy School of Government.

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Q&A: IDC Talks About APM

Pete Goldin
APMdigest

In APMdigest's exclusive interview, Mary Johnston Turner, Research Vice President in IDC's Enterprise System Management Software practice, discusses Application Performance Management and related topics covered in recent IDC reports including IDC MarketScape: Worldwide Production APM Software as a Service 2013 Vendor Analysis.

APM: How do emerging technologies – particularly mobile and social business – drive an increased need for APM?

MJT: Over the last several years, application environments have become much more dynamic due to the adoption of virtualization, cloud, mobility, social business and big data.

Mobility and social business provide end users a new level of personalization and real-time applications but end user experiences can be unpredictable given the myriad of mobile devices, browsers and apps that are available. Mobile and social apps tend to be released quickly and updated continually so developers and service providers need to know immediately if there are problems with the code or if users are experiencing unexpected problems.

With all the complexity and interdependencies in today's environments it can be difficult to rapidly isolate the source of problems and to provide developers and IT operations team with enough of the right kind of information so that they can remediate those problems quickly.

In contrast to older APM solutions that were often difficult to configure and maintain, a new generation of APM solutions is emerging that is more suited to the needs of modern mobile and social applications environments. They are designed to be used by a wide range of IT operations, development and line of business professionals and are easier to deploy and manage while still providing sophisticated information about the status of the code, the browser, the mobile app and the end user experience.

APM: Do you feel the acceptance of SaaS will impact the growth in adoption of APM in general?

MJT: In the early days, SaaS was often seen as a lightweight alternative to more sophisticated enterprise scale on premise APM software options. However, as the use of SaaS delivery platforms has matured, robust APM SaaS offerings are coming to market. Customers that want to get started with APM for little or no up-front cost can take advantage of free services and get value quickly using self-service activation tools. User interfaces, navigation and analytics are becoming much more intuitive. Many of the SaaS APM solutions come with significant pre-built reports and models, allowing organizations to quickly get that time to value.

Beyond that, APM SaaS options allow organizations to ramp up use of APM as needed overtime and match spending to business need. Overall, the barriers to implementing APM are much lower than they used to be at a time when the need for APM is greater than ever. I expect that SaaS delivered APM will definitely help to expand the overall APM market.

APM: What should a potential APM buyer be looking for in an APM SaaS solution?

MJT: Traditionally many APM products focused on Java, or .Net, however, many of today's applications are being written in PHP, Ruby, Python and other languages. Support for mobile as well as traditional desktop applications is also critical. It is critical to make sure that the solution supports your top priority application environments.

Similarly, the APM solutions needs insight into the infrastructure supporting the application so the ability to monitor across public clouds, virtualized environment or even on physical infrastructures is important – particularly for multi-tier applications where different tiers live in different infrastructure environments.

Beyond that, buyers should focus on ease of use and time to value. For example, look for services that can be activated easily.

A SaaS APM solution should have good graphics and visualization and the ability to integrate data from a wide range of sources to help IT and developer teams monitor performance efficiently and troubleshoot problems quickly.

The ability to customize different views of the APM data for different roles and the capability to develop custom reports are important, as are advanced analytics and root cause diagnostics that can help correlate data and get down to root cause quickly.

Finally, the ability to scale up in terms of numbers of users, devices, and transactions is vital as is the ability to scale down in situations where the use of the application varies over time.

APM: In terms of app development, do you feel quality – and therefore APM – will become a priority over fast innovation and time to market?

MJT: I think successful companies and the applications they rely on to do business will have to meet the speed and quality test simultaneously. We are way past the days were customers will applaud innovators if the application crashes or performance is unpredictable. Most business is done online today and customers can quickly move their business elsewhere if the application doesn't perform. The need for consistent user experiences and application quality will only increase over time but it cannot be overlooked today.

ABOUT Mary Johnston Turner

Mary Johnston Turner, IDC Research Vice President, Enterprise Systems Management Software, drives IDC's forecasts and analysis of many IT management software markets including public and private cloud operations, data center automation, virtualization management and performance and availability management. She is a major contributor to IDC's annual IT industry predictions process.

Each year, Turner surveys and interviews hundreds of IT decision makers on priorities for IT spending and strategic IT initiatives. She has conducted extensive research on cloud management strategies and changes in the performance management software market. Turner also examines the priorities around mobile interfaces and control points for enterprise scale system management solutions. Her systems management software coverage is published in IDC's Enterprise Systems Management Software service while her analysis of cloud management software is published in IDC's IT Cloud Decision Economics service.

Turner is a 25 year veteran of the IT research and advisory services business. She is widely published and quoted in many major business and trade publications, and is a frequent speaker at industry events. Turner has been with IDC since 2008. Prior to joining IDC she held senior analyst and consulting positions at Ovum, Summit Strategies, Northeast Consulting Resources and Yankee Group. She holds a Masters of Public Policy (M.P.P.) degree from Harvard's Kennedy School of Government.

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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 ...

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 ...