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APM in the New Hybrid World

APM for Any Infrastructure, Any Application, Any Personae
Ulrica de Fort-Menares

True Application Performance Monitoring (APM) cross-cuts many IT tiers: network infrastructure, physical and virtual infrastructure, databases, mobile devices, etc. An ideal Application Performance Monitoring solution provides visibility over any infrastructure, for any app and any audience.

1. Any Infrastructure – We live in a hybrid world

Enterprises are transitioning to cloud, hybrid WAN and BYOD. We call this the three dimensions of the new hybrid world.


Traditional Enterprise Architecture is in the bottom left front quadrant. Managed applications are typically hosted in the Private Cloud. Many enterprises have managed networks and managed devices such as laptops, desktop, IP phones, etc.

Cloud computing, mobility and BYOD trends are rapidly changing the landscape, driving Enterprise Architecture to the top right quadrant. Enterprises are now consuming SaaS applications that are not managed by traditional IT. The Internet has become a much more stable platform; businesses are migrating their traditional network to the Internet. Users are accessing Enterprise content from anywhere across the unmanaged Internet. Enterprises are also dealing with an influx of unmanaged BYOD devices.

Implications: In this new hybrid world, you will likely have limited visibility of devices, applications and/or networks. Multiple administrative domains will become the new norm. Enterprises need new capabilities to perform fault isolation that span different organizations, groups and service providers. This means a lot of room for finger pointing. We believe modern APM solutions need to address this added complexity with the ability to provide visibility across any public/private network, any public/private cloud for any device.

2. Any Apps – Voice and video have more stringent performance requirements, but yet they are not the main focus of APM solutions today

There is much focus on web performance management in regards to APM solutions today. Voice and video are more challenging data types when it comes to performance and quality of experience. Yet, we do not see as much emphasis from the APM solutions today. Voice and video remain as their own silos from a performance management perspective. Perhaps when WebRTC becomes mainstream, we would see voice and video become a focus of APM solutions.

3. Any Personae – Tools should be capable of collaborative troubleshooting and leveraged by sysadmin, DevOps, network engineers, app developers, etc.

According to a study conducted by EMA, 81% of respondents indicated that cross-domain triage teams were being invoked to tackle application performance issues. The teams combine network, application, database, server, endpoints, etc. Even more interestingly, 66% of respondents indicated that network operators were taking the lead most or all of the time. This can only be interpreted as a need to arm network operators with the tool to succeed in their lead roles. The network is the resource that binds the user and the application together. It seems natural that network operators take the lead role in these challenging cross-domain initiatives.

Despite the pressing need, enterprises are still challenged by the lack of tools that can present a unified picture to meet the needs of these different audiences. There are no shortages of silo tools, but they lack abilities to correlate different data sources to present the unified view.

Key Takeaways

Despite the diversity of APM tools, there is still opportunity for a tool that can be leveraged by different cross-domain teams, different application types and across the hybrid cloud/network world.

Ulrica de Fort-Menares is VP Product Strategy at LiveAction.

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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 ...

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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 ...

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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 ...

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If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

APM in the New Hybrid World

APM for Any Infrastructure, Any Application, Any Personae
Ulrica de Fort-Menares

True Application Performance Monitoring (APM) cross-cuts many IT tiers: network infrastructure, physical and virtual infrastructure, databases, mobile devices, etc. An ideal Application Performance Monitoring solution provides visibility over any infrastructure, for any app and any audience.

1. Any Infrastructure – We live in a hybrid world

Enterprises are transitioning to cloud, hybrid WAN and BYOD. We call this the three dimensions of the new hybrid world.


Traditional Enterprise Architecture is in the bottom left front quadrant. Managed applications are typically hosted in the Private Cloud. Many enterprises have managed networks and managed devices such as laptops, desktop, IP phones, etc.

Cloud computing, mobility and BYOD trends are rapidly changing the landscape, driving Enterprise Architecture to the top right quadrant. Enterprises are now consuming SaaS applications that are not managed by traditional IT. The Internet has become a much more stable platform; businesses are migrating their traditional network to the Internet. Users are accessing Enterprise content from anywhere across the unmanaged Internet. Enterprises are also dealing with an influx of unmanaged BYOD devices.

Implications: In this new hybrid world, you will likely have limited visibility of devices, applications and/or networks. Multiple administrative domains will become the new norm. Enterprises need new capabilities to perform fault isolation that span different organizations, groups and service providers. This means a lot of room for finger pointing. We believe modern APM solutions need to address this added complexity with the ability to provide visibility across any public/private network, any public/private cloud for any device.

2. Any Apps – Voice and video have more stringent performance requirements, but yet they are not the main focus of APM solutions today

There is much focus on web performance management in regards to APM solutions today. Voice and video are more challenging data types when it comes to performance and quality of experience. Yet, we do not see as much emphasis from the APM solutions today. Voice and video remain as their own silos from a performance management perspective. Perhaps when WebRTC becomes mainstream, we would see voice and video become a focus of APM solutions.

3. Any Personae – Tools should be capable of collaborative troubleshooting and leveraged by sysadmin, DevOps, network engineers, app developers, etc.

According to a study conducted by EMA, 81% of respondents indicated that cross-domain triage teams were being invoked to tackle application performance issues. The teams combine network, application, database, server, endpoints, etc. Even more interestingly, 66% of respondents indicated that network operators were taking the lead most or all of the time. This can only be interpreted as a need to arm network operators with the tool to succeed in their lead roles. The network is the resource that binds the user and the application together. It seems natural that network operators take the lead role in these challenging cross-domain initiatives.

Despite the pressing need, enterprises are still challenged by the lack of tools that can present a unified picture to meet the needs of these different audiences. There are no shortages of silo tools, but they lack abilities to correlate different data sources to present the unified view.

Key Takeaways

Despite the diversity of APM tools, there is still opportunity for a tool that can be leveraged by different cross-domain teams, different application types and across the hybrid cloud/network world.

Ulrica de Fort-Menares is VP Product Strategy at LiveAction.

Hot Topics

The Latest

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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...