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What You Should Be Monitoring to Ensure Digital Performance - Part 5

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 5, the final installment, offers some recommendations you may not have thought about.

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

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

SECURITY

The current software application scenario is predominantly threatened by security issues and cybersecurity risks. Security is probably one of the most critical aspects to consider while ensuring digital performance. In today's world of cyber threats, Security monitoring has become critical to safeguard apps against any unwanted and unwarranted cyber-attacks. Organizations must have a system that helps them monitor and improve the security of their applications. Digital Transformation and a robust digital interface can be offered only after ensuring all the security aspects.
Sajid Khan
Senior Director, Global Delivery, Cigniti Technologies

When processing transactions or information of your clients you must be monitoring your risk assessments and the implementation of your security measures. Maintain yourself and your team subscribed to threat alerts that will allow you to stay on top of possible risks.
Otis Gospodnetić
Founder, Sematext

Security strategy: Ensure that there is a process in place to protect the company's systems and data especially when adding or integrating applications.
Colin Earl
CEO, Agiloft

SOCIAL MEDIA

There are many metrics necessary to ensure digital performance, but there is a key metric often overlooked by businesses: social media based metrics. Data from social media monitoring has too long been considered a vanity metric, but it can have real operational value if used correctly. Coupled with machine learning algorithms, analyst teams can be alerted in real time to track and correlate social media data with changes in product demand or revenue, identifying the root cause immediately, and providing forecasting for the future. What's the value in this? Let's say a celebrity promotes your brand via social media and the post starts gaining traction, you need to quickly identify the actual business impact. That way, you can leverage the momentum in-store and online by adjusting to inventory to meet expected demand, tactically bundling products to grow basket size, etc. Social media has a huge impact on digital performance, and it is essential businesses are able to predict and manage this metric in real time.
Ira Cohen
Co-Founder and Chief Data Scientist, Anodot

ITSM SUPPORT

For organizations in the throes of executing digital transformation, understanding how users interact with IT can help improve digital performance. Employees' optimum use of digital assets is tied to how well ITSM supports them when there are performance issues. Therefore, monitoring the efficiency of your ITSM processes can identify where less-than-adequate support is leading to weaker digital performance. In general, applying analytics to ITSM will give an organization actionable data points, to determine which combination of phone, email, automation, self-help options, social channels or integration to Twitter, Facebook, or Slack are the most effective means of receiving and resolving IT support issues. For example, measuring and monitoring the resolution of calls that come into a help desk, how long queue delays are, and whether the calls resulted in an improvement in user productivity can provide an indicator of how well ITSM is enabling digital performance, or being a block.
Alan Taylor
HDM, SMM, Principal Product Manager, Ivanti

PEOPLE

Rather than focusing on technological metrics like uptime or downtime, CPU, etc. companies should focus more on the human metrics. Talent is the number one operating priority, so measuring digital performance has more to do with the type of talent within an organization. This involves considering metrics like how many senior people they have, what their bench strength looks like, how long people have been in their roles, who the top performers are and whether they're being rewarded with opportunities or accolades. Once you have your focus on your people and the criteria for success aligned accordingly, you can do anything.
Craig Williams
VP and CIO, Ciena

The Latest

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 ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

What You Should Be Monitoring to Ensure Digital Performance - Part 5

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 5, the final installment, offers some recommendations you may not have thought about.

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

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

SECURITY

The current software application scenario is predominantly threatened by security issues and cybersecurity risks. Security is probably one of the most critical aspects to consider while ensuring digital performance. In today's world of cyber threats, Security monitoring has become critical to safeguard apps against any unwanted and unwarranted cyber-attacks. Organizations must have a system that helps them monitor and improve the security of their applications. Digital Transformation and a robust digital interface can be offered only after ensuring all the security aspects.
Sajid Khan
Senior Director, Global Delivery, Cigniti Technologies

When processing transactions or information of your clients you must be monitoring your risk assessments and the implementation of your security measures. Maintain yourself and your team subscribed to threat alerts that will allow you to stay on top of possible risks.
Otis Gospodnetić
Founder, Sematext

Security strategy: Ensure that there is a process in place to protect the company's systems and data especially when adding or integrating applications.
Colin Earl
CEO, Agiloft

SOCIAL MEDIA

There are many metrics necessary to ensure digital performance, but there is a key metric often overlooked by businesses: social media based metrics. Data from social media monitoring has too long been considered a vanity metric, but it can have real operational value if used correctly. Coupled with machine learning algorithms, analyst teams can be alerted in real time to track and correlate social media data with changes in product demand or revenue, identifying the root cause immediately, and providing forecasting for the future. What's the value in this? Let's say a celebrity promotes your brand via social media and the post starts gaining traction, you need to quickly identify the actual business impact. That way, you can leverage the momentum in-store and online by adjusting to inventory to meet expected demand, tactically bundling products to grow basket size, etc. Social media has a huge impact on digital performance, and it is essential businesses are able to predict and manage this metric in real time.
Ira Cohen
Co-Founder and Chief Data Scientist, Anodot

ITSM SUPPORT

For organizations in the throes of executing digital transformation, understanding how users interact with IT can help improve digital performance. Employees' optimum use of digital assets is tied to how well ITSM supports them when there are performance issues. Therefore, monitoring the efficiency of your ITSM processes can identify where less-than-adequate support is leading to weaker digital performance. In general, applying analytics to ITSM will give an organization actionable data points, to determine which combination of phone, email, automation, self-help options, social channels or integration to Twitter, Facebook, or Slack are the most effective means of receiving and resolving IT support issues. For example, measuring and monitoring the resolution of calls that come into a help desk, how long queue delays are, and whether the calls resulted in an improvement in user productivity can provide an indicator of how well ITSM is enabling digital performance, or being a block.
Alan Taylor
HDM, SMM, Principal Product Manager, Ivanti

PEOPLE

Rather than focusing on technological metrics like uptime or downtime, CPU, etc. companies should focus more on the human metrics. Talent is the number one operating priority, so measuring digital performance has more to do with the type of talent within an organization. This involves considering metrics like how many senior people they have, what their bench strength looks like, how long people have been in their roles, who the top performers are and whether they're being rewarded with opportunities or accolades. Once you have your focus on your people and the criteria for success aligned accordingly, you can do anything.
Craig Williams
VP and CIO, Ciena

The Latest

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 ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...