Skip to main content

Beyond the "Single Pane of Glass"

Single Pane of Glass for Monitoring IT Performance is Not the Means to an End

End-user organizations are looking to take more of a service-centric approach when managing IT performance, and management vendors, for the most part, have done a good job of adjusting to this trend. Recently, I had the chance to see a number of demos of IT performance monitoring products that are based on different underlining technologies for collecting performance data, are being sold to different job roles within the organization, and even competing in different markets, but they all had something in common. The first screen of their performance dashboards looks almost identical. And products that are based on network monitoring technologies, data center management or application monitoring all of a sudden have the same look and feel:

• Green, yellow/orange and red markers for performance of your key IT services - typically in the top right corner

•Some kind of mash-up (mostly Google Maps) to show where these services are being delivered to and how their performance varies – typically in top left corner

• Icons representing different infrastructure parts that can be monitored for performance – typically in the bottom row

It is very encouraging that technology vendors are realizing that the days of infrastructure bias to performance monitoring are over and they are adjusting the way they are presenting performance data to end-users to reflect more of a service centric approach. It is also encouraging to see that the vendors are getting the message that a “single pane of glass” is the best approach to present network, application, server and database performance data to end-users. The key question is: What does it take to turn pretty icons, maps and links from a high level overview of performance of IT services to information needed for problem resolution?

Using a single platform to monitor the health of IT services is not much of a competitive differentiator, as the range of companies that are providing dashboards for monitoring the overall health of IT services goes across different technology classes – from networking vendors such as NetScout and Network Instruments over BTM vendors such as Nastel and Correlsense, APM platforms such as Foglight and Vantage and BSM solutions such as Zyrion, Netuitive or AccelOps. However, the depth of data that these tools can collect is very dissimilar, and they are using a different approach for collecting this data.

“A single pane of glass” solutions for monitoring the health of IT services has true value for the end-user only if it delivers all of the capabilities that they need to monitor each part of their infrastructure. However, many BSM products are still lacking major network monitoring capabilities, such as NetFlow capture and analysis, network behavior analysis (NBA), ability to recreate network behavior and others. AccelOps is one of the few BSM vendors that have NBA capabilities, while Uptime Software recently added NetFlow capabilities to their portfolio. It is a similar story with key application monitoring capabilities, such as response times measuring, end-user experience monitoring and Layer 7 analysis, as not all BSM products are offering these capabilities.

Ease of use, implementation and management is very important for end-user organizations, as they are increasingly looking to consolidate their IT management tools. Organizations are definitely becoming more interested in seeing across IT ‘silos’ and taking a service-centric approach for monitoring the health of their IT infrastructure. However, starting with monitoring the health of IT services (as opposed to monitoring the performance of infrastructure parts) is not the means to an end. In order for organizations to move away from using dozens of point solutions to monitor IT performance, vendors need to start offering platforms that would include all of the capabilities of networking, application, datacenter and database products.

About Bojan Simic

Bojan Simic is the founder and Principal Analyst at TRAC Research, a market research and analyst firm that specializes in IT performance management. As an industry analyst, Bojan interviewed more than 2,000 IT and business professionals from end-user organizations and published more than 50 research reports. Bojan's coverage area at TRAC Research includes application and network monitoring, WAN management and acceleration, cloud and virtualization management, BSM and managed services.

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

Beyond the "Single Pane of Glass"

Single Pane of Glass for Monitoring IT Performance is Not the Means to an End

End-user organizations are looking to take more of a service-centric approach when managing IT performance, and management vendors, for the most part, have done a good job of adjusting to this trend. Recently, I had the chance to see a number of demos of IT performance monitoring products that are based on different underlining technologies for collecting performance data, are being sold to different job roles within the organization, and even competing in different markets, but they all had something in common. The first screen of their performance dashboards looks almost identical. And products that are based on network monitoring technologies, data center management or application monitoring all of a sudden have the same look and feel:

• Green, yellow/orange and red markers for performance of your key IT services - typically in the top right corner

•Some kind of mash-up (mostly Google Maps) to show where these services are being delivered to and how their performance varies – typically in top left corner

• Icons representing different infrastructure parts that can be monitored for performance – typically in the bottom row

It is very encouraging that technology vendors are realizing that the days of infrastructure bias to performance monitoring are over and they are adjusting the way they are presenting performance data to end-users to reflect more of a service centric approach. It is also encouraging to see that the vendors are getting the message that a “single pane of glass” is the best approach to present network, application, server and database performance data to end-users. The key question is: What does it take to turn pretty icons, maps and links from a high level overview of performance of IT services to information needed for problem resolution?

Using a single platform to monitor the health of IT services is not much of a competitive differentiator, as the range of companies that are providing dashboards for monitoring the overall health of IT services goes across different technology classes – from networking vendors such as NetScout and Network Instruments over BTM vendors such as Nastel and Correlsense, APM platforms such as Foglight and Vantage and BSM solutions such as Zyrion, Netuitive or AccelOps. However, the depth of data that these tools can collect is very dissimilar, and they are using a different approach for collecting this data.

“A single pane of glass” solutions for monitoring the health of IT services has true value for the end-user only if it delivers all of the capabilities that they need to monitor each part of their infrastructure. However, many BSM products are still lacking major network monitoring capabilities, such as NetFlow capture and analysis, network behavior analysis (NBA), ability to recreate network behavior and others. AccelOps is one of the few BSM vendors that have NBA capabilities, while Uptime Software recently added NetFlow capabilities to their portfolio. It is a similar story with key application monitoring capabilities, such as response times measuring, end-user experience monitoring and Layer 7 analysis, as not all BSM products are offering these capabilities.

Ease of use, implementation and management is very important for end-user organizations, as they are increasingly looking to consolidate their IT management tools. Organizations are definitely becoming more interested in seeing across IT ‘silos’ and taking a service-centric approach for monitoring the health of their IT infrastructure. However, starting with monitoring the health of IT services (as opposed to monitoring the performance of infrastructure parts) is not the means to an end. In order for organizations to move away from using dozens of point solutions to monitor IT performance, vendors need to start offering platforms that would include all of the capabilities of networking, application, datacenter and database products.

About Bojan Simic

Bojan Simic is the founder and Principal Analyst at TRAC Research, a market research and analyst firm that specializes in IT performance management. As an industry analyst, Bojan interviewed more than 2,000 IT and business professionals from end-user organizations and published more than 50 research reports. Bojan's coverage area at TRAC Research includes application and network monitoring, WAN management and acceleration, cloud and virtualization management, BSM and managed services.

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...