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The Business Case for Composable Infrastructure

Perry Szarka

What is composable infrastructure, and is it the right choice for your IT environment? That's the question on many CIOs' minds today as they work to position their organizations as "digitally driven," delivering better, deeper, faster user experiences and a more agile response to change in whatever vertical market you do business in today.

Sometimes thought of as "software-defined in a box," a composable infrastructure virtualizes the entire compute environment and manages its resources as if they were services. This makes a composable infrastructure both flexible and agile enough to deliver true digital transformation, yet allows IT to continue to manage legacy applications from within a single architecture.

While this may seem like the answer to all of your headaches, there is no silver bullet. To help you decide if composable infrastructure is the right choice for your organization, it's important to understand the three most significant issues driving the need for change:

■ The traditional, legacy computing infrastructures most organizations have in place are simply not agile enough to meet today's fast-paced business demands.

■ Organizations are increasingly developing their own applications in house, yet legacy infrastructure cannot keep pace with development efforts.

■ Today's business users have consumer-like expectations for the availability of IT services – and that is putting significant pressure on IT.

While there's no single solution that will work for every organization, composable infrastructure may provide an answer for many. What many businesses need is a single solution that can address both today's bimodal IT model on the same platform at the same time – and composable infrastructure can do just that.

One of the most significant advancements in this area that we have seen is a composable infrastructure that brings together software-defined compute resources, software-defined storage and software-defined networking into a homogenous package with a single management interface. By completely abstracting the hardware, this kind of solution delivers the necessary compute, memory, storage and networking resources to accommodate individual applications automatically, without the involvement of multiple IT personnel.

When properly implemented, composable infrastructure can help propel an organization forward in its digital transformation, making it a truly service-defined enterprise. The key, however, is in determining if composable infrastructure is the best way to meet the business' needs.

To help organizations decide, it's important that a solution provider start with a thorough understanding of the company's business, then provide the client with a deep level of consulting, application rationalization, and an analysis of what is working and what isn't so they know where their own gaps exist. No matter who the solution provider is, this should all be taking place before any decisions about infrastructure are made. You have to start with the vision so you know where you are going and can map the best route to get there.

Read 5 Questions to Ask Yourself About Composable Infrastructure

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In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...

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 ...

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 ...

The Business Case for Composable Infrastructure

Perry Szarka

What is composable infrastructure, and is it the right choice for your IT environment? That's the question on many CIOs' minds today as they work to position their organizations as "digitally driven," delivering better, deeper, faster user experiences and a more agile response to change in whatever vertical market you do business in today.

Sometimes thought of as "software-defined in a box," a composable infrastructure virtualizes the entire compute environment and manages its resources as if they were services. This makes a composable infrastructure both flexible and agile enough to deliver true digital transformation, yet allows IT to continue to manage legacy applications from within a single architecture.

While this may seem like the answer to all of your headaches, there is no silver bullet. To help you decide if composable infrastructure is the right choice for your organization, it's important to understand the three most significant issues driving the need for change:

■ The traditional, legacy computing infrastructures most organizations have in place are simply not agile enough to meet today's fast-paced business demands.

■ Organizations are increasingly developing their own applications in house, yet legacy infrastructure cannot keep pace with development efforts.

■ Today's business users have consumer-like expectations for the availability of IT services – and that is putting significant pressure on IT.

While there's no single solution that will work for every organization, composable infrastructure may provide an answer for many. What many businesses need is a single solution that can address both today's bimodal IT model on the same platform at the same time – and composable infrastructure can do just that.

One of the most significant advancements in this area that we have seen is a composable infrastructure that brings together software-defined compute resources, software-defined storage and software-defined networking into a homogenous package with a single management interface. By completely abstracting the hardware, this kind of solution delivers the necessary compute, memory, storage and networking resources to accommodate individual applications automatically, without the involvement of multiple IT personnel.

When properly implemented, composable infrastructure can help propel an organization forward in its digital transformation, making it a truly service-defined enterprise. The key, however, is in determining if composable infrastructure is the best way to meet the business' needs.

To help organizations decide, it's important that a solution provider start with a thorough understanding of the company's business, then provide the client with a deep level of consulting, application rationalization, and an analysis of what is working and what isn't so they know where their own gaps exist. No matter who the solution provider is, this should all be taking place before any decisions about infrastructure are made. You have to start with the vision so you know where you are going and can map the best route to get there.

Read 5 Questions to Ask Yourself About Composable Infrastructure

The Latest

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...

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 ...

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 ...