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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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...