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

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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

Related Links

Hot Topics

The Latest

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

AI Deepfakes: Rethinking Trust in the Workplace

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Why ITOps Need Right-Sized AI, Not Bigger Models

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

The End of Reactive DevOps: AI-Driven Observability for Zero-Defect Digital Systems

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

5 Takeaways from the Observability Forecast for Media and Entertainment

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Why Moving Off the Cloud Is the Easy Part and What Comes Next Is Where Things Get Hard

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

MEAN TIME TO INSIGHT Podcast - Episode 24: Network Observability Tool Sprawl

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

Capacity Isn't a Guess: Observability-Driven Sizing for On-Prem Databases

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 ...

5 Security Principles Every Entrepreneur Should Apply to Leadership

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 ...