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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

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

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

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...