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Do You Own Your Software or Does Your Software Own You?

Eberhardt Weber
Emporix

In an era marked by geopolitical unrest, supply chain disruptions and economic uncertainties, wholesalers are facing some unprecedented challenges. Persistent inflation in major economies, combined with a jump in commodity prices caused by the Russia-Ukraine conflict, has left the wholesaler market scrambling to manage costs and maintain margins.

This squeeze on the retail sector was most notable as we emerged from the pandemic, with top and bottom lines repeatedly challenged by slow sales growth, reduced consumer spending power, higher fuel and freight costs, and supply chain challenges. It follows that retailers and wholesalers are now looking for ways to reduce their cost burden in order to sustain their profit margins.

One often overlooked area when it comes to reducing costs is the total cost of ownership (TCO) of software. TCO refers to the comprehensive evaluation of all direct and indirect costs associated with owning and operating software throughout its lifecycle. It encompasses not only the initial purchase or licensing costs, but also factors in expenses such as implementation, integration, training, maintenance, support, upgrades, and potential downtime. Reducing TCO can lead to huge savings, but requires a strategic approach that balances the minimizing of unnecessary expenditure with the need to optimize efficiency and improve business outcomes. For businesses that get it right, taking control of their software in this way is a win-win scenario.

This blog aims to shed light on the cost inefficiencies associated with sticking to legacy digital solutions and advocates for a composable approach that provides flexibility, responsiveness, and freedom of choice.

The Drawbacks of Off-the-Shelf Solutions

With traditional off-the-shelf software, pricing is relatively easy to define in the beginning. Some of these solutions might seem perfect at the time of purchase, but will they be perfect a year from now? Two years? Five years? Investing in traditional software often involves multi-million-figure contracts, drawn-out decision-making processes, and an inability to change or flex with evolving business requirements. This results in a spiraling TCO as businesses invest in more and more software to plug the gaps and keep pace with competition.

Off-the-shelf software is an on-the-rails solution at a time when businesses need to grab the wheel and carve out their own path. Composable architecture puts businesses in the driving seat, allowing them to mix and match modular components and services based on their specific needs, avoiding the constraints of long-term contracts and fixed options.

Here are some key areas where a composable approach outshines legacy systems:

Avoiding vendor and feature lock-in

One of the downsides of traditional software solutions is that wholesalers end up "locked in" with a specific set of software providers. These long-term agreements with vendors restrict a wholesaler's ability to adapt and respond to changing market demands, and they remain stuck with the same set of features for years at a time. A composable approach offers total freedom, giving companies the ability to select individual vendors and developers for specific applications, or even build their own.

Reducing TCO with flexible price models

Fixed pricing structures and long-term contracts can impede wholesalers from making cost-effective decisions. The inability to respond swiftly to evolving demand patterns leaves them unable to compete in a rapidly changing world. Composable solutions provide elasticity, enabling businesses to scale resources up or down as required, ensuring optimal utilization and cost-efficiency. Individual services can be upgraded or downgraded in line with demand, enabling more granular control over costs and ensuring resources are allocated appropriately.

Building a best-of-breed solution

Traditional software often confines businesses to fixed options, limiting their ability to leverage the latest innovations and advancements. For instance, if a business wants to roll out a new e-commerce feature, it is at the mercy of its chosen software provider, often waiting years for a new feature to be added while its competitors are already forging ahead. An alternative might be to try and code a new feature on top of the monolith using inhouse resources. Of course, this then signs the team up for ongoing testing and maintenance throughout all version updates of the monolith to make sure their own feature remains compatible, but there's no guarantee that this will be the case with all future versions, so it's a risky approach. With a composable approach, on the other hand, organizations have the freedom to choose and invest in best-of-breed microservices that align with their specific requirements, unlocking a competitive advantage while keeping TCO in check.

Focus only on the core commerce features

Sometimes, wholesalers need to streamline operations and focus on essential commerce capabilities to sustain their operations. A composable solution allows businesses to break away from the rigid templates of legacy software, allowing them to go into "efficiency mode" when needed in order to maintain business continuity and protect their margins.

The need for a composable approach is underscored by the evolving business landscape and the desire for greater agility and cost control. By adopting a composable architecture, wholesalers can effectively future-proof their businesses, leveraging modular components and microservices that can be easily adapted and reconfigured.

As uncertainty in the market continues, regaining control over TCO is a wholesaler's best shot at not only reducing costs and maintaining business continuity, but building a flexible, scalable software foundation that will stand the test of time. The question all wholesalers should be asking themselves is — do they own their software, or does their software own them?

Eberhardt Weber is Co-Founder and CEO of Emporix

The Latest

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Do You Own Your Software or Does Your Software Own You?

Eberhardt Weber
Emporix

In an era marked by geopolitical unrest, supply chain disruptions and economic uncertainties, wholesalers are facing some unprecedented challenges. Persistent inflation in major economies, combined with a jump in commodity prices caused by the Russia-Ukraine conflict, has left the wholesaler market scrambling to manage costs and maintain margins.

This squeeze on the retail sector was most notable as we emerged from the pandemic, with top and bottom lines repeatedly challenged by slow sales growth, reduced consumer spending power, higher fuel and freight costs, and supply chain challenges. It follows that retailers and wholesalers are now looking for ways to reduce their cost burden in order to sustain their profit margins.

One often overlooked area when it comes to reducing costs is the total cost of ownership (TCO) of software. TCO refers to the comprehensive evaluation of all direct and indirect costs associated with owning and operating software throughout its lifecycle. It encompasses not only the initial purchase or licensing costs, but also factors in expenses such as implementation, integration, training, maintenance, support, upgrades, and potential downtime. Reducing TCO can lead to huge savings, but requires a strategic approach that balances the minimizing of unnecessary expenditure with the need to optimize efficiency and improve business outcomes. For businesses that get it right, taking control of their software in this way is a win-win scenario.

This blog aims to shed light on the cost inefficiencies associated with sticking to legacy digital solutions and advocates for a composable approach that provides flexibility, responsiveness, and freedom of choice.

The Drawbacks of Off-the-Shelf Solutions

With traditional off-the-shelf software, pricing is relatively easy to define in the beginning. Some of these solutions might seem perfect at the time of purchase, but will they be perfect a year from now? Two years? Five years? Investing in traditional software often involves multi-million-figure contracts, drawn-out decision-making processes, and an inability to change or flex with evolving business requirements. This results in a spiraling TCO as businesses invest in more and more software to plug the gaps and keep pace with competition.

Off-the-shelf software is an on-the-rails solution at a time when businesses need to grab the wheel and carve out their own path. Composable architecture puts businesses in the driving seat, allowing them to mix and match modular components and services based on their specific needs, avoiding the constraints of long-term contracts and fixed options.

Here are some key areas where a composable approach outshines legacy systems:

Avoiding vendor and feature lock-in

One of the downsides of traditional software solutions is that wholesalers end up "locked in" with a specific set of software providers. These long-term agreements with vendors restrict a wholesaler's ability to adapt and respond to changing market demands, and they remain stuck with the same set of features for years at a time. A composable approach offers total freedom, giving companies the ability to select individual vendors and developers for specific applications, or even build their own.

Reducing TCO with flexible price models

Fixed pricing structures and long-term contracts can impede wholesalers from making cost-effective decisions. The inability to respond swiftly to evolving demand patterns leaves them unable to compete in a rapidly changing world. Composable solutions provide elasticity, enabling businesses to scale resources up or down as required, ensuring optimal utilization and cost-efficiency. Individual services can be upgraded or downgraded in line with demand, enabling more granular control over costs and ensuring resources are allocated appropriately.

Building a best-of-breed solution

Traditional software often confines businesses to fixed options, limiting their ability to leverage the latest innovations and advancements. For instance, if a business wants to roll out a new e-commerce feature, it is at the mercy of its chosen software provider, often waiting years for a new feature to be added while its competitors are already forging ahead. An alternative might be to try and code a new feature on top of the monolith using inhouse resources. Of course, this then signs the team up for ongoing testing and maintenance throughout all version updates of the monolith to make sure their own feature remains compatible, but there's no guarantee that this will be the case with all future versions, so it's a risky approach. With a composable approach, on the other hand, organizations have the freedom to choose and invest in best-of-breed microservices that align with their specific requirements, unlocking a competitive advantage while keeping TCO in check.

Focus only on the core commerce features

Sometimes, wholesalers need to streamline operations and focus on essential commerce capabilities to sustain their operations. A composable solution allows businesses to break away from the rigid templates of legacy software, allowing them to go into "efficiency mode" when needed in order to maintain business continuity and protect their margins.

The need for a composable approach is underscored by the evolving business landscape and the desire for greater agility and cost control. By adopting a composable architecture, wholesalers can effectively future-proof their businesses, leveraging modular components and microservices that can be easily adapted and reconfigured.

As uncertainty in the market continues, regaining control over TCO is a wholesaler's best shot at not only reducing costs and maintaining business continuity, but building a flexible, scalable software foundation that will stand the test of time. The question all wholesalers should be asking themselves is — do they own their software, or does their software own them?

Eberhardt Weber is Co-Founder and CEO of Emporix

The Latest

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...