The Essential Tools to Support Digital Transformation - Part 2

APMdigest asked experts from across the IT industry — from analysts and consultants to users and the top vendors — for their opinions on the essential tools to support digital transformation. Part 2 covers the network and the cloud.

Start with The Essential Tools to Support Digital Transformation - Part 1

NETWORK PERFORMANCE MANAGEMENT (NPM)

There's no question that numerous tools are needed to support digital transformation, and many play an important role. Network monitoring solutions though are absolutely crucial, because digital transformation by its very nature requires organizations to change their IT infrastructure, whether it's adding new components or removing existing ones. There are always unintended consequences whenever you change networks and systems, particularly today when transformative trends like the cloud, the internet of things and virtualization have taken us far beyond the traditional hub-and-spoke architecture. That's why it's imperative that you have real-time visibility over your entire IT infrastructure as you improve it and add new capabilities. You need to know, and be able to see, how your digital transformation efforts impact your networks and systems, your hardware and software, and the devices that tie into all of it. Most importantly, you want to be the first to know when a problem arises. You wouldn't try to rebuild an engine in the dark and you shouldn't try to do the same with your network. The importance of the visibility that network monitoring makes possible can't be overemphasized.
Greg Ross
Systems Engineer, North America, Paessler AG

Your network and IT team can't work on digital transformation initiatives if they're bogged down with trouble tickets. So, one of the most important tools to support these initiatives is an NPM solution that reduces troubleshooting time by combining real-time network monitoring with packet-level analysis. Having both of these capabilities in a single tool can dramatically reduce MTTR by first giving visibility to the IT staff where the problem areas on the network are in real time, and then enabling them with the deeper level packet analysis needed to find and fix the cause. And faster MTTR means more time to devote to Digital Transformation.
Jay Botelho
Senior Director of Products, Savvius

To a large extent, success with digital transformation is measured by the end user's experience. This includes customers, employees and partners. Before a company looks to add or extend its digital transformation efforts, it should have a solid network performance management platform in place. One that can monitor and analyze traffic and performance across distributed business applications, services and devices, both on premise and in the cloud, as well as mobile devices. It should also support the latest innovations that are enabling digital transformation initiatives including cloud, voice, software-defined infrastructure, and IoT. This way, businesses can ensure the data-intensive applications that connect every interaction are seamless. But when they're not, there's a need for network performance monitoring solutions to spot and troubleshoot issues before they impact the user's experience, which ultimately provides the assurance that their investments in digital transformation will pay off.
John K. Smith
Executive VP and CTO, LiveAction

Networks enable digital transformation, so enterprises need multi-path network monitoring and optimization tools. Many companies leverage the explosion of sensors and data to transform their businesses with use-cases like remote operations, geographically-diverse production, or distributed asset optimization. In all these cases reliable and efficient connectivity for data transfer, control, and collaboration is essential. To transform operations, enterprises need to invest in tools which characterize network capabilities, monitor connectivity degradation, and optimize multiple network paths continuously for critical services.
Erik Thoen
Director, Product Management, 128 Technology

The widespread digital transformation is requiring businesses to be dynamic and adapt to changes quickly. Organizations must ensure all IT initiatives (existing and new) are aligned to drive business value. This requires bringing in a comprehensive network infrastructure management and automation tool to rethink their approach and strive for agility in addition to stability.
Muralidharan Palanisamy
CTO, AppViewX

The most critical and vulnerable aspect of your digital transformation are your application services. You can modernize infrastructure all you want. None of it matters if your applications aren't reliably delivered. You need robust application monitoring and analytics — ideally at the network level — to make sure users get the benefit of container-based applications and cloud infrastructure.
Ashish Shah
Sr. Director of Product, Avi Networks

NETFLOW TOOLS

The most important tool for digital transformation in today's state is using networks to provide the roads and speed limits of tomorrow. NetFlow tools provide IT Pros with visibility to track network usage and prepare for bandwidth increases. This increased visibility allows network administrators to focus on configurations that can shape traffic to increase consistency and optimize application speeds. Leveraging networks will help digital transformation thrive rather than limp along.
Destiny Bertucci
Head Geek, SolarWinds

PUBLIC CLOUD

The most important tool needed to support digital transformation is a cloud strategy that focuses on full adoption of a public cloud environment. With its elasticity and scalability, the public cloud allows our developer team to save time by being able to move faster. With this, the ability to scale up and down beyond the footprint of what you have already paid for is extremely valuable and is something that you cannot obtain with a private cloud environment. At Barclaycard, public cloud computing is enabling us to transform from simply being a financial services provider to a tech company as well, while giving our users the best experience possible. The flexibility of the public cloud allows companies large and small to grow without limitations and is an irreplaceable asset for tech-driven businesses on their digital transformation journey.
Prem Chandrasekaran
VP of Software Engineering, Barclaycard

HYBRID SERVICE MANAGEMENT

You can not move, migrate, or calculate costs/risks for a workload without understanding what it is, how it connects, and what the impact is. As a result many executives have reported issues with their digital transformation initiatives. Hybrid Service Management solves the visibility gap. Hybrid Service Management that includes not only discovery of applications and systems across hybrid cloud environments but also maps service dependencies, licenses,and other critical factors. These tools aggregate data across multiple sources to provide a single pane of glass view. Beware of yesterday's configuration management tools as they will not solve today's Hybrid Service Management problems. The key point is they must traverse across legacy environments, on premise, and cloud — across application container from the hardware to virtual machine or container.
Jeanne Morain
Author and Strategist, iSpeak Cloud

When prioritizing tooling needs for digital transformation, the key word is transformation. The best investment would be in an independent operations platform that provides visibility into your hybrid and multi-cloud initiatives. This reduces cost and risk in the early stages of transformation, grows with you as your digital footprint expands, and mitigates against vendor lock-in in the future.
Richard Whitehead
Evangelist-in-Chief, Moogsoft

Read The Essential Tools to Support Digital Transformation - Part 3, covering analytics, AI and machine learning.

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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 ...

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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 ...

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The Essential Tools to Support Digital Transformation - Part 2

APMdigest asked experts from across the IT industry — from analysts and consultants to users and the top vendors — for their opinions on the essential tools to support digital transformation. Part 2 covers the network and the cloud.

Start with The Essential Tools to Support Digital Transformation - Part 1

NETWORK PERFORMANCE MANAGEMENT (NPM)

There's no question that numerous tools are needed to support digital transformation, and many play an important role. Network monitoring solutions though are absolutely crucial, because digital transformation by its very nature requires organizations to change their IT infrastructure, whether it's adding new components or removing existing ones. There are always unintended consequences whenever you change networks and systems, particularly today when transformative trends like the cloud, the internet of things and virtualization have taken us far beyond the traditional hub-and-spoke architecture. That's why it's imperative that you have real-time visibility over your entire IT infrastructure as you improve it and add new capabilities. You need to know, and be able to see, how your digital transformation efforts impact your networks and systems, your hardware and software, and the devices that tie into all of it. Most importantly, you want to be the first to know when a problem arises. You wouldn't try to rebuild an engine in the dark and you shouldn't try to do the same with your network. The importance of the visibility that network monitoring makes possible can't be overemphasized.
Greg Ross
Systems Engineer, North America, Paessler AG

Your network and IT team can't work on digital transformation initiatives if they're bogged down with trouble tickets. So, one of the most important tools to support these initiatives is an NPM solution that reduces troubleshooting time by combining real-time network monitoring with packet-level analysis. Having both of these capabilities in a single tool can dramatically reduce MTTR by first giving visibility to the IT staff where the problem areas on the network are in real time, and then enabling them with the deeper level packet analysis needed to find and fix the cause. And faster MTTR means more time to devote to Digital Transformation.
Jay Botelho
Senior Director of Products, Savvius

To a large extent, success with digital transformation is measured by the end user's experience. This includes customers, employees and partners. Before a company looks to add or extend its digital transformation efforts, it should have a solid network performance management platform in place. One that can monitor and analyze traffic and performance across distributed business applications, services and devices, both on premise and in the cloud, as well as mobile devices. It should also support the latest innovations that are enabling digital transformation initiatives including cloud, voice, software-defined infrastructure, and IoT. This way, businesses can ensure the data-intensive applications that connect every interaction are seamless. But when they're not, there's a need for network performance monitoring solutions to spot and troubleshoot issues before they impact the user's experience, which ultimately provides the assurance that their investments in digital transformation will pay off.
John K. Smith
Executive VP and CTO, LiveAction

Networks enable digital transformation, so enterprises need multi-path network monitoring and optimization tools. Many companies leverage the explosion of sensors and data to transform their businesses with use-cases like remote operations, geographically-diverse production, or distributed asset optimization. In all these cases reliable and efficient connectivity for data transfer, control, and collaboration is essential. To transform operations, enterprises need to invest in tools which characterize network capabilities, monitor connectivity degradation, and optimize multiple network paths continuously for critical services.
Erik Thoen
Director, Product Management, 128 Technology

The widespread digital transformation is requiring businesses to be dynamic and adapt to changes quickly. Organizations must ensure all IT initiatives (existing and new) are aligned to drive business value. This requires bringing in a comprehensive network infrastructure management and automation tool to rethink their approach and strive for agility in addition to stability.
Muralidharan Palanisamy
CTO, AppViewX

The most critical and vulnerable aspect of your digital transformation are your application services. You can modernize infrastructure all you want. None of it matters if your applications aren't reliably delivered. You need robust application monitoring and analytics — ideally at the network level — to make sure users get the benefit of container-based applications and cloud infrastructure.
Ashish Shah
Sr. Director of Product, Avi Networks

NETFLOW TOOLS

The most important tool for digital transformation in today's state is using networks to provide the roads and speed limits of tomorrow. NetFlow tools provide IT Pros with visibility to track network usage and prepare for bandwidth increases. This increased visibility allows network administrators to focus on configurations that can shape traffic to increase consistency and optimize application speeds. Leveraging networks will help digital transformation thrive rather than limp along.
Destiny Bertucci
Head Geek, SolarWinds

PUBLIC CLOUD

The most important tool needed to support digital transformation is a cloud strategy that focuses on full adoption of a public cloud environment. With its elasticity and scalability, the public cloud allows our developer team to save time by being able to move faster. With this, the ability to scale up and down beyond the footprint of what you have already paid for is extremely valuable and is something that you cannot obtain with a private cloud environment. At Barclaycard, public cloud computing is enabling us to transform from simply being a financial services provider to a tech company as well, while giving our users the best experience possible. The flexibility of the public cloud allows companies large and small to grow without limitations and is an irreplaceable asset for tech-driven businesses on their digital transformation journey.
Prem Chandrasekaran
VP of Software Engineering, Barclaycard

HYBRID SERVICE MANAGEMENT

You can not move, migrate, or calculate costs/risks for a workload without understanding what it is, how it connects, and what the impact is. As a result many executives have reported issues with their digital transformation initiatives. Hybrid Service Management solves the visibility gap. Hybrid Service Management that includes not only discovery of applications and systems across hybrid cloud environments but also maps service dependencies, licenses,and other critical factors. These tools aggregate data across multiple sources to provide a single pane of glass view. Beware of yesterday's configuration management tools as they will not solve today's Hybrid Service Management problems. The key point is they must traverse across legacy environments, on premise, and cloud — across application container from the hardware to virtual machine or container.
Jeanne Morain
Author and Strategist, iSpeak Cloud

When prioritizing tooling needs for digital transformation, the key word is transformation. The best investment would be in an independent operations platform that provides visibility into your hybrid and multi-cloud initiatives. This reduces cost and risk in the early stages of transformation, grows with you as your digital footprint expands, and mitigates against vendor lock-in in the future.
Richard Whitehead
Evangelist-in-Chief, Moogsoft

Read The Essential Tools to Support Digital Transformation - Part 3, covering analytics, AI and machine learning.

Related Links

Hot Topics

The Latest

OpenTelemetry: A Complete Telemetry Framework that Grows with You

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 ...

The Quiet Power of Milliseconds in High Traffic Systems

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 ...

Are AI "Autonomous Coworkers" Ready for Payroll?

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 Reaches Pivotal Inflection Point: From Automation to Agentic Intelligence

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 Real Reason Enterprise AI Stalls: It Doesn't Fit in the Box

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 ...

AI's Inflection Point Will Redefine Enterprise Readiness in 2026

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 ...

Turning Foresight into Resilience: Reclaiming Prevention in the Age of Exposure

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 ...

MLOps Meets DataOps: Creating Unified Backbone for AI

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% ...

2026 Network Monitoring Trends

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 ...

2026 AI Predictions - Part 5

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 ...