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What You Should Be Monitoring to Ensure Digital Performance - Part 4

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 4 covers the infrastructure, including the cloud and the network.

Start with What You Should Be Monitoring to Ensure Digital Performance - Part 1

Start with What You Should Be Monitoring to Ensure Digital Performance - Part 2

Start with What You Should Be Monitoring to Ensure Digital Performance - Part 3

DATA

Data performance monitoring is the most important aspect to ensure digital performance. Data transformed into content will dictate the end user experience. Data represented as text, images, video or voxels in extended reality requires continual monitoring to ensure quality of experience. IT departments can determine the amount of investment required to modify the network and application components based upon data performance. Data visualization formats can also be modified to function on the status quo infrastructure until the upgrade investments are in place.
Dos Dosanjh
Director, Technical Marketing, Quali

Monitor slow flow data - collected by standard discovery tools to map changes in network, apps, data, location or users. And fast flow data - collected by log analyzers, webcasters, and real time discovery to overlay changes to dependency map.
Jeanne Morain
Author and Strategist, iSpeak Cloud

BIG DATA TECHNOLOGIES

Organizations need to be able to monitor the big data technology that modern applications are increasingly reliant upon. These apps need fast access to technologies such as Hadoop, Kafka, Spark and Hbase, in order to make business critical decisions across all verticals, including financial services, retail, manufacturing, healthcare and telecom. For example, in finance, fraud detection leverages streaming data from systems like Kafka and Spark Streaming to collect and process information in order to detect any irregular patterns and prevent fraudulent transactions. Streaming apps like these have complex distributed architectures and produce massive volumes of data that is constantly changing. This makes them susceptible to performance issues, jeopardizing the important business process they were supporting. It's critical that enterprises monitor these modern data apps with a strong application performance management (APM) platform that has end-to-end observability and AI-driven automation at the core.
Kunal Agarwal
CEO, Unravel Data

MAINFRAME

Ever since servers of all types began processing transactions between businesses and the web/mobile devices, the need for millisecond performance between the end-user and the mainframe back-end data repository has existed. Along this path, there are numerous moving parts that contribute to a delightful or disastrous user experience. Focus must be given to monitoring mainframe performance as most web and mobile applications end with a purchase, a bank account deposit, or some exchange that ultimately takes place on a back-end mainframe.
Kelly Vogt
Performance Consultant, Compuware

MIDDLEWARE

One component that people often miss: the middleware. Whether it be on-premises ESBs, cloud-based iPaaS, or some combination, if the middleware has an issue, it can adversely impact the customer experience.
Jason Bloomberg
President, Intellyx

INTERACTIONS BETWEEN CLOUDS

As organizations increasingly adopt multi-cloud strategies, there's a growing need to monitor not just the performance (speed, reliability) of individual cloud infrastructures themselves, but also the interactions between these platforms. When deploying a multi-cloud environment, fast, reliable interoperability between multiple cloud regions and providers can be the key to strong performance for entire end-to-end componentized applications.
Mehdi Daoudi
CEO and Founder, Catchpoint

NETWORK

Digital performance is a full-stack affair, so it's essential to monitor the network at the wire level all the way to the applications and real user experience.
Jason Bloomberg
President, Intellyx

The most important metric for IT teams to monitor is the performance of the network.
Douglas Roberts
VP and General Manager, Viavi Enterprise and Cloud Business Unit

Digital performance monitoring requires complete network visibility to expose hidden problems and soon-to-be problems.
Keith Bromley
Senior Manager, Solutions Marketing, Ixia Solutions Group a Keysight Technologies business

Networks can be needy: They often require constant attention to ensure continuous uptime and properly defend against cyberattacks. Traditional symptom-based SNMP monitoring isn't enough to ensure (or enhance) digital performance – IT teams need to leverage proactive network monitoring and contextualized visibility. Waiting for a problem to occur and then trying to track down the source with an outdated map or protocols results in more time troubleshooting and increased MTTR, leaving less time and brain space for making strategic updates or otherwise optimizing digital performance. Instead of always operating in crisis mode, network teams need to employ network automation to continuously monitor for underlying faults, identify problems in context to speed recovery and proactively enforce best practices.
Jason Baudreau
Product Specialist, NetBrain

SD-WAN

Ensuring digital performance today can be a proxy for keeping employees productive. When networks are slow, people are slow. The adoption of SD-WAN is enticing for large enterprises seeking to lower costs or increase flexibility for remote locations, but it's not a silver bullet and what's missing from this discussion is end-to-end performance baselining. SD-WAN has no effect on issues outside of the WAN and the application delivery path is constantly changing so monitoring before, during, and after SD-WAN deployment across the entire connection is essential to finding and fixing issues that degrade user experience no matter where the issue occurs.
Sean Armstrong
VP of Product, AppNeta

Read What You Should Be Monitoring to Ensure Digital Performance - Part 5, the final installment, with some recommendations you may not have thought about.

The Latest

Today's enterprises exist in rapidly growing, complex IT landscapes that can inadvertently create silos and lead to the accumulation of disparate tools. To successfully manage such growth, these organizations must realize the requisite shift in corporate culture and workflow management needed to build trust in new technologies. This is particularly true in cases where enterprises are turning to automation and autonomic IT to offload the burden from IT professionals. This interplay between technology and culture is crucial in guiding teams using AIOps and observability solutions to proactively manage operations and transition toward a machine-driven IT ecosystem ...

Gartner identified the top data and analytics (D&A) trends for 2025 that are driving the emergence of a wide range of challenges, including organizational and human issues ...

Traditional network monitoring, while valuable, often falls short in providing the context needed to truly understand network behavior. This is where observability shines. In this blog, we'll compare and contrast traditional network monitoring and observability — highlighting the benefits of this evolving approach ...

A recent Rocket Software and Foundry study found that just 28% of organizations fully leverage their mainframe data, a concerning statistic given its critical role in powering AI models, predictive analytics, and informed decision-making ...

What kind of ROI is your organization seeing on its technology investments? If your answer is "it's complicated," you're not alone. According to a recent study conducted by Apptio ... there is a disconnect between enterprise technology spending and organizations' ability to measure the results ...

In today’s data and AI driven world, enterprises across industries are utilizing AI to invent new business models, reimagine business and achieve efficiency in operations. However, enterprises may face challenges like flawed or biased AI decisions, sensitive data breaches and rising regulatory risks ...

In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions.... 

There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...

Image
Guardsquare

IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...

In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ... 

Image
Chrome

What You Should Be Monitoring to Ensure Digital Performance - Part 4

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 4 covers the infrastructure, including the cloud and the network.

Start with What You Should Be Monitoring to Ensure Digital Performance - Part 1

Start with What You Should Be Monitoring to Ensure Digital Performance - Part 2

Start with What You Should Be Monitoring to Ensure Digital Performance - Part 3

DATA

Data performance monitoring is the most important aspect to ensure digital performance. Data transformed into content will dictate the end user experience. Data represented as text, images, video or voxels in extended reality requires continual monitoring to ensure quality of experience. IT departments can determine the amount of investment required to modify the network and application components based upon data performance. Data visualization formats can also be modified to function on the status quo infrastructure until the upgrade investments are in place.
Dos Dosanjh
Director, Technical Marketing, Quali

Monitor slow flow data - collected by standard discovery tools to map changes in network, apps, data, location or users. And fast flow data - collected by log analyzers, webcasters, and real time discovery to overlay changes to dependency map.
Jeanne Morain
Author and Strategist, iSpeak Cloud

BIG DATA TECHNOLOGIES

Organizations need to be able to monitor the big data technology that modern applications are increasingly reliant upon. These apps need fast access to technologies such as Hadoop, Kafka, Spark and Hbase, in order to make business critical decisions across all verticals, including financial services, retail, manufacturing, healthcare and telecom. For example, in finance, fraud detection leverages streaming data from systems like Kafka and Spark Streaming to collect and process information in order to detect any irregular patterns and prevent fraudulent transactions. Streaming apps like these have complex distributed architectures and produce massive volumes of data that is constantly changing. This makes them susceptible to performance issues, jeopardizing the important business process they were supporting. It's critical that enterprises monitor these modern data apps with a strong application performance management (APM) platform that has end-to-end observability and AI-driven automation at the core.
Kunal Agarwal
CEO, Unravel Data

MAINFRAME

Ever since servers of all types began processing transactions between businesses and the web/mobile devices, the need for millisecond performance between the end-user and the mainframe back-end data repository has existed. Along this path, there are numerous moving parts that contribute to a delightful or disastrous user experience. Focus must be given to monitoring mainframe performance as most web and mobile applications end with a purchase, a bank account deposit, or some exchange that ultimately takes place on a back-end mainframe.
Kelly Vogt
Performance Consultant, Compuware

MIDDLEWARE

One component that people often miss: the middleware. Whether it be on-premises ESBs, cloud-based iPaaS, or some combination, if the middleware has an issue, it can adversely impact the customer experience.
Jason Bloomberg
President, Intellyx

INTERACTIONS BETWEEN CLOUDS

As organizations increasingly adopt multi-cloud strategies, there's a growing need to monitor not just the performance (speed, reliability) of individual cloud infrastructures themselves, but also the interactions between these platforms. When deploying a multi-cloud environment, fast, reliable interoperability between multiple cloud regions and providers can be the key to strong performance for entire end-to-end componentized applications.
Mehdi Daoudi
CEO and Founder, Catchpoint

NETWORK

Digital performance is a full-stack affair, so it's essential to monitor the network at the wire level all the way to the applications and real user experience.
Jason Bloomberg
President, Intellyx

The most important metric for IT teams to monitor is the performance of the network.
Douglas Roberts
VP and General Manager, Viavi Enterprise and Cloud Business Unit

Digital performance monitoring requires complete network visibility to expose hidden problems and soon-to-be problems.
Keith Bromley
Senior Manager, Solutions Marketing, Ixia Solutions Group a Keysight Technologies business

Networks can be needy: They often require constant attention to ensure continuous uptime and properly defend against cyberattacks. Traditional symptom-based SNMP monitoring isn't enough to ensure (or enhance) digital performance – IT teams need to leverage proactive network monitoring and contextualized visibility. Waiting for a problem to occur and then trying to track down the source with an outdated map or protocols results in more time troubleshooting and increased MTTR, leaving less time and brain space for making strategic updates or otherwise optimizing digital performance. Instead of always operating in crisis mode, network teams need to employ network automation to continuously monitor for underlying faults, identify problems in context to speed recovery and proactively enforce best practices.
Jason Baudreau
Product Specialist, NetBrain

SD-WAN

Ensuring digital performance today can be a proxy for keeping employees productive. When networks are slow, people are slow. The adoption of SD-WAN is enticing for large enterprises seeking to lower costs or increase flexibility for remote locations, but it's not a silver bullet and what's missing from this discussion is end-to-end performance baselining. SD-WAN has no effect on issues outside of the WAN and the application delivery path is constantly changing so monitoring before, during, and after SD-WAN deployment across the entire connection is essential to finding and fixing issues that degrade user experience no matter where the issue occurs.
Sean Armstrong
VP of Product, AppNeta

Read What You Should Be Monitoring to Ensure Digital Performance - Part 5, the final installment, with some recommendations you may not have thought about.

The Latest

Today's enterprises exist in rapidly growing, complex IT landscapes that can inadvertently create silos and lead to the accumulation of disparate tools. To successfully manage such growth, these organizations must realize the requisite shift in corporate culture and workflow management needed to build trust in new technologies. This is particularly true in cases where enterprises are turning to automation and autonomic IT to offload the burden from IT professionals. This interplay between technology and culture is crucial in guiding teams using AIOps and observability solutions to proactively manage operations and transition toward a machine-driven IT ecosystem ...

Gartner identified the top data and analytics (D&A) trends for 2025 that are driving the emergence of a wide range of challenges, including organizational and human issues ...

Traditional network monitoring, while valuable, often falls short in providing the context needed to truly understand network behavior. This is where observability shines. In this blog, we'll compare and contrast traditional network monitoring and observability — highlighting the benefits of this evolving approach ...

A recent Rocket Software and Foundry study found that just 28% of organizations fully leverage their mainframe data, a concerning statistic given its critical role in powering AI models, predictive analytics, and informed decision-making ...

What kind of ROI is your organization seeing on its technology investments? If your answer is "it's complicated," you're not alone. According to a recent study conducted by Apptio ... there is a disconnect between enterprise technology spending and organizations' ability to measure the results ...

In today’s data and AI driven world, enterprises across industries are utilizing AI to invent new business models, reimagine business and achieve efficiency in operations. However, enterprises may face challenges like flawed or biased AI decisions, sensitive data breaches and rising regulatory risks ...

In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions.... 

There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...

Image
Guardsquare

IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...

In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ... 

Image
Chrome