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

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 2 covers key performance metrics like availability and response time.

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

AVAILABILITY

To ensure digital performance, availability is one of three key performance areas I always recommend monitoring. Your applications and networks must first be available to service users and customers. Otherwise, they're useful to no one.
Jean Tunis
Senior Consultant and Founder of RootPerformance

Monitoring the login page of an application with a synthetic transaction is an essential part of an Enterprise Monitoring strategy. Active monitoring is a good starting point to provide visibility on application availability especially when monitoring outside the Data Center. Synthetic Transactions can provide location-based availability and act as a barometer for measuring application performance.
Larry Dragich
Technology Executive and Founder of the APM Strategies Group on LinkedIn.

Read Larry Dragich's latest blog: Digital Intelligence - Why Traditional APM Tools Aren't Sufficient

Read Larry Dragich's new white paper: The Case for Converged Application & Infrastructure Performance Monitoring

INFRASTRUCTURE RISK

Understanding Infrastructure Risk is a key component of monitoring that most organizations miss. APM tools do a great job of tracking left-to-right performance across an application, and modern application designs ensure that no single component can cause a failure. Building an understanding of the risk inherent in the current IT infrastructure — below the application — is critical for stopping unexpected downtime and sudden capacity limits. You can do that by tracking links from between overlay and underlay networks, file systems to storage units, and hypervisor to server hardware — or you can use a unified monitoring tool do do it for you. Key buying decision — can you see the IT infrastructure risk for the specific components that your application relies on?
Kent Erickson
Alliance Strategist, Zenoss

THROUGHPUT

To ensure digital performance, throughput is one of three key performance areas that must be included. Applications and networks must be able to provide all the relevant data that is required to fulfill a specific request. Monitoring throughput ensures you know when your systems do not deliver all of the data that was requested, and you can act on it before the complaints come in.
Jean Tunis
Senior Consultant and Founder of RootPerformance

PAGE LOAD SPEED

Ultimately you want to be monitoring everything that impacts customer experience and conversion rates, but the most important thing is the page load speed. This drives more conversions than any other factor. And the key pages are those at the beginning of a user journey since the more time someone has invested in the process the less likely they are to abandon.
Antony Edwards
CTO, Eggplant

RESPONSE TIME

To ensure digital performance, response time is one of three key performance areas that must not be forgotten. Requests for specific information from users must be fulfilled with as much speed as possible. This is a common expectation of every IT system, so you should be monitoring them.
Jean Tunis
Senior Consultant and Founder of RootPerformance

Monitor application response from user to application (last mile) and application to the data (middle mile) to not only measure is the app up but of it is working.
Jeanne Morain
Author and Strategist, iSpeak Cloud

TRANSACTION UPTIME

A good starting point is to implement end-to-end performance monitoring with real transaction uptime to complement your APM tools.
Sven Hammar
Founder and CSO, Apica

TIME TO FIRST BYTE

Initial motivation in the user journey can be lost very quickly if for example the first time the user clicks on an advertisement or logs into an application is not performant. The appearance of performance is important; monitoring time to first byte (TTFB)can help ascertain the experience of what a user sees marching towards a minimum viable/viewable product (MVP) of the page or app before being loaded to completion. TTFB is a leading indicator on web performance to the end user and also is used by the leading search engines in factoring in page rank as the more performant pages get a higher rank.
Ravi Lachhman
Evangelist, AppDynamics

LOG EVENTS

If it has an IP address, it sends logs, and logs must be monitored to gain detailed insight on server performance, security, error messages or underlying issues.
Clayton Dukes
CEO, LogZilla

Logs have been around since the dawn of computing, but with constantly increasing threats, logs are more important than ever. Log events are one of the key data sources SIEM (Security Information and Event Management) solutions use for threat detection.
Otis Gospodnetić
Founder, Sematext

Read What You Should Be Monitoring to Ensure Digital Performance - Part 3, covering the development side.

The Latest

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...

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

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 2 covers key performance metrics like availability and response time.

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

AVAILABILITY

To ensure digital performance, availability is one of three key performance areas I always recommend monitoring. Your applications and networks must first be available to service users and customers. Otherwise, they're useful to no one.
Jean Tunis
Senior Consultant and Founder of RootPerformance

Monitoring the login page of an application with a synthetic transaction is an essential part of an Enterprise Monitoring strategy. Active monitoring is a good starting point to provide visibility on application availability especially when monitoring outside the Data Center. Synthetic Transactions can provide location-based availability and act as a barometer for measuring application performance.
Larry Dragich
Technology Executive and Founder of the APM Strategies Group on LinkedIn.

Read Larry Dragich's latest blog: Digital Intelligence - Why Traditional APM Tools Aren't Sufficient

Read Larry Dragich's new white paper: The Case for Converged Application & Infrastructure Performance Monitoring

INFRASTRUCTURE RISK

Understanding Infrastructure Risk is a key component of monitoring that most organizations miss. APM tools do a great job of tracking left-to-right performance across an application, and modern application designs ensure that no single component can cause a failure. Building an understanding of the risk inherent in the current IT infrastructure — below the application — is critical for stopping unexpected downtime and sudden capacity limits. You can do that by tracking links from between overlay and underlay networks, file systems to storage units, and hypervisor to server hardware — or you can use a unified monitoring tool do do it for you. Key buying decision — can you see the IT infrastructure risk for the specific components that your application relies on?
Kent Erickson
Alliance Strategist, Zenoss

THROUGHPUT

To ensure digital performance, throughput is one of three key performance areas that must be included. Applications and networks must be able to provide all the relevant data that is required to fulfill a specific request. Monitoring throughput ensures you know when your systems do not deliver all of the data that was requested, and you can act on it before the complaints come in.
Jean Tunis
Senior Consultant and Founder of RootPerformance

PAGE LOAD SPEED

Ultimately you want to be monitoring everything that impacts customer experience and conversion rates, but the most important thing is the page load speed. This drives more conversions than any other factor. And the key pages are those at the beginning of a user journey since the more time someone has invested in the process the less likely they are to abandon.
Antony Edwards
CTO, Eggplant

RESPONSE TIME

To ensure digital performance, response time is one of three key performance areas that must not be forgotten. Requests for specific information from users must be fulfilled with as much speed as possible. This is a common expectation of every IT system, so you should be monitoring them.
Jean Tunis
Senior Consultant and Founder of RootPerformance

Monitor application response from user to application (last mile) and application to the data (middle mile) to not only measure is the app up but of it is working.
Jeanne Morain
Author and Strategist, iSpeak Cloud

TRANSACTION UPTIME

A good starting point is to implement end-to-end performance monitoring with real transaction uptime to complement your APM tools.
Sven Hammar
Founder and CSO, Apica

TIME TO FIRST BYTE

Initial motivation in the user journey can be lost very quickly if for example the first time the user clicks on an advertisement or logs into an application is not performant. The appearance of performance is important; monitoring time to first byte (TTFB)can help ascertain the experience of what a user sees marching towards a minimum viable/viewable product (MVP) of the page or app before being loaded to completion. TTFB is a leading indicator on web performance to the end user and also is used by the leading search engines in factoring in page rank as the more performant pages get a higher rank.
Ravi Lachhman
Evangelist, AppDynamics

LOG EVENTS

If it has an IP address, it sends logs, and logs must be monitored to gain detailed insight on server performance, security, error messages or underlying issues.
Clayton Dukes
CEO, LogZilla

Logs have been around since the dawn of computing, but with constantly increasing threats, logs are more important than ever. Log events are one of the key data sources SIEM (Security Information and Event Management) solutions use for threat detection.
Otis Gospodnetić
Founder, Sematext

Read What You Should Be Monitoring to Ensure Digital Performance - Part 3, covering the development side.

The Latest

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...