Uncover the future of SPARC Emulation with Charon SSP.
Download DatasheetModern manufacturing applications utilize the most innovative systems, like AI, IIoT, cobots, the hybrid cloud, customization, sustainable devices, and so on. While it has an advanced framework, it is also fraught with cyberthreats, geopolitical crises, and workers' skill issues.
Manufacturing industries also hold legacy systems as a potent risk, due to all the problems of reaching EOL in such a modernizing landscape. What enterprise need is not immediate complete modernization but a system that maintains applications while getting rid of aged hardware.
While such a solution is rare, it is not unfindable. You have emulation, where you can save your applications without changing them, while your outdated hardware gets replaced. You can do this while you prepare the task of application modernization in manufacturing.
Manufacturing, no matter where you reside, maintains an importance few other industries do. Almost every country manufactures products needed by them or other countries. However, what they focus on is the bigger question.
For most enterprises involved in manufacturing, business continuity is as essential for production as innovation. The first ensures your productivity, the second, transformation. A balance between the two is necessary for your business to flourish.
However, it can be difficult for these companies to decide which to prioritize. After all, industries are on a modernization roll right now, and Industry 4.0 is booming. Every machinery is becoming interconnected, real-time, and proactive. Yet, production is increasing too.
For example, UNIDO reports show a growth rate of 1.2% for production and 3.5% for exports in the first quarter of 2026 (World Manufacturing Production and Trade – Quarterly Report (Q1 2026)). A CAGR of 4.28% is expected from 2026 to 2031, according to Statista (Manufacturing – Worldwide).
However, legacy applications have an extra hurdle to overcome. They must first decide whether to retain the system a little longer and face greater modernization challenges then or modernize now with fewer troubles but throwing business continuity under great risk. The dilemma is one that keeps business executives up at night.
A compromise is required to set this question to rest. This blog discusses the problems of both as you search for application modernization in manufacturing without replacing them. Get comfortable as we give you a solution that provides both while preventing your revenue and your customers from forsaking your business.
System Failed? Other Priorities? No Problem! Find the Best Solution That Suits You.
Mission-critical manufacturing application modernization is not as difficult as you think, if the right strategies are used by the right people. However, first, there’s a need to understand what systems or concepts we are updating to. Here’s a list of the changes appearing in the manufacturing industry:
Using AI is not limited to your daily life. Factories integrating AI can become automated, even fully, optimizing designs, increasing efficiency, and promoting energy conservation. Manufacturing firms to the tune of 35% were using AI in different forms and technologies in 2024, and the number has only increased now.
Both cobots and AR are necessary for making manufacturing easier. They can both be used without AI, but incorporating it is possible and recommended. Cobots make less bulky, more flexible work operators possible, with a much lower chance of human accidents. On the other hand, AR makes instructions accessible whenever needed without manuals.
The cloud is favored by most companies going for application modernization in manufacturing; they are even accelerating its usage. What is showing up more right now is how the cloud is deployed. The hybrid cloud is chosen by most, and it is increasing every year. Enterprises prefer to keep business-critical applications on-premises while moving the rest to the cloud.
Deploying the cloud, however, does present challenges. According to Foundry’s 13th annual Cloud Computing Study, a massive 94% of IT decision makers experienced issues with cloud adoption, and for most, it was financial. This shows how people are eager to adopt the cloud without measuring the consequences.
With greater regulations and even customer demand, manufacturers are employing more ecological practices. Waste reduction, use of renewable energy as much as possible, recycling and reusing initiatives, and lower carbon footprint moves are implemented to ensure better environmental effects.
In fact, measures like blockchain and AI drive operational sustainability, noting a 25% improvement. Every inch of a factory, from when a raw material enters to when a finished product exits, is made, ecologically and energy-wise, sound.
Smart factories are taking over manufacturing, and IIoT is a huge part of it. The use of predictive maintenance, security monitoring, and quick production decision making is changing how factories operate.
Systems like immersive technologies, edge computing, and digital twins help in real-time, environment-led detection and analysis. The integration of intelligent PLC, SCADA, MES, and ERP makes factory floors more reactive, even proactive.
Customers have always wanted personalized products that met their requirements how they wanted. This is now possible for manufactured products. AI/ML, 3D scanning and printing, robotics, and interconnectivity give rise to customized products that match an end user’s specifications perfectly.
However, manufacturing also faces issues. Like any modern trend taking direction in this era, modern manufacturing has downsides too.
Application modernization in manufacturing brings a new complication: fewer low-skill workers are needed now. What enterprises need is high, more refined skills in even smaller, concentrated areas. Hence, upskilling is a huge investment for many companies. However, worker safety comes into question now.
Will robots be able to give CPR? What if they cause an accident, now that they are not in cages? Can an interconnected system relay a workplace danger as they do for product quality? While accidents have reduced to 5 per 1000 workers in smart factories compared to above 20 for traditional ones, how and when safety is provided is an issue still being questioned.
Current times presents uncertainty in an un-unique way: geopolitical tensions rising every day. From the Ukraine-Russia war and Venezuelan conflict to the more recent USA-China tit-for-tat and Iran-Saudi threat, geopolitical tensions have been rife.
Conversations have been on the rise regarding a third World War in an economic, cyber, and energy-related manner. A fully connected, automated factory becomes a risk in such scenarios. Factory development becomes interrupted in such circumstances.
Cyberthreats are a major issue for smart factories. The conjunction of IT and OT, lack of network segmentation, human error, unclear compliance rules, and legacy systems with old-age, un-updatable software that lacks modern security features all give rise to avoidable cybercrimes. It is especially crucial to modernize legacy manufacturing applications, since it is the easiest task.
According to Capgemini, a whopping 40% of organizations have been cyberattacked through their smart factories. Sometimes, the attack is from an internal source that went undetected. Ensuring complete cybersecurity will be a challenge, as only preparedness is no longer a feasible option.
What we conclude from this is that while welcoming modern manufacturing enthusiastically is an expectation, one must not forget the risks involved or the safe practices achievable.
For modern manufacturing, business continuity is a must. Enterprises depend on legacy systems for more reasons than you can think of. Reports say that 90% of enterprises run business-critical operations on legacy systems. So, for manufacturing companies that employ cutting-edge technologies, this becomes a problem to fix.
Legacy applications experience:
Aging systems are hardly able to integrate with modern software and hardware. They operate in isolation, unlike the interconnected systems of today. After all, legacy systems operate in isolation.
As Remco Molenaar said, “Almost every manufacturing company we’ve worked with has mission-critical operations running on outdated software. However, not modernizing your IT landscape is like putting the hand break on innovation.”
Keeping pace with the technologies of Industry 4.0 means getting rid of lower throughput, slower production, and higher rejection rates of legacy systems. This inefficiency can only be prevented with application modernization in manufacturing.
Decision making and analytics is a pain in legacy systems due to the existence of data silos. Even within the business, the flow of information is hindered across systems. This compromises functions that require continuous, real-time data.
Skilled workers are more scarce than you think. Worse, most are not ready to change. According to Hexagon, only 8% of workers in the US are ready to take on next-gen technologies. This can be scary for manufacturers waiting for the next tech.
New technologies depend on the ability of systems to expand. Legacy systems fail in that respect. They are already on the verge of reaching their capacity. Adding more outdated systems to the mix is a bad idea.
Older software and hardware are not only less scannable, but they also pose security risks that modern tools cannot check. You have to attach special applications that can check for a handful of vulnerabilities, which cannot provide the real-time action expected today.
The financial drain as a result of maintaining these systems is an added responsibility that comes in the way of innovation and introduces the need to modernize legacy manufacturing applications.
We think of modernization as a one-and-done exercise, but it is a process that has to be completed for the entire manufacturing operation. While you can modernize legacy manufacturing applications today or tomorrow, doing that in one go is not feasible.
Modernizing is a long-drawn process. You have to change several software and hardware systems one by one and flip them at the right time and ensure compatibility between each other and other enterprise functions.
You have to maintain quality for all your products and services and guarantee better results according to the needs of your workers at all levels and wants of your end users of all categories. At the same time, you have to prevent cyberattacks and heed all compliance requirements, including changes, and protect your business from disasters, especially global ones. It takes –
Clinching all these is the best way for mission-critical manufacturing application modernization that is legacy or about to be. Completing a major process such as this is possible, but it will affect the business greatly.
Enterprise owners do not want that. Yet, at the speed at which application modernization in manufacturing is happening, keeping legacy transformation undone is pain and loss, doubled.
The best option is a process that does not add technical debt but provides an in-between while allowing ample time to modernize.
Need a method to maintain manufacturing business continuity while modernizing for the future? Meet Charon by Stromasys, an enterprise emulation solution for SPARC, VAX, AlphaServer, PA-RISC, and PDP-11 hardware.
It replaces aging hardware with modern ones while keeping the software the same. We set up in less time and money, and you don’t understand the difference in hardware at all. Hardware emulation fixes all your problems with hardly any effort.
Your operations will be fixed, cybersecurity remedied, worker problems solved, scalability arranged, and finances secured with the lift-and-shift or rehosting approach used by Charon.
What do you do when you have no recovery system for disasters and one location to protect everything? This is what this major cement manufacturer in Saudi Arabia kept thinking. Besides cost and the lack of technical specialists, there was one primary flaw — a secondary site for DR.
They had a SPARC system with Solaris OS and applications that needed immediate relocation. Thankfully, Stromasys was ready. Their Charon-SSP 6.0 was the perfect solution to move to AWS Cloud and ensure application modernization in manufacturing.
The results they received after a seamless migration were much more than a DR plan that was powerful and scalable beyond expectations. The company experienced minimal downtime, lower power consumption, integration with modern tools, and renewed manufacturing business continuity. Most of all, expenses were reduced beyond measure.
The customer put it nicely, “Now the business feels more confident because the disaster recovery process can reduce potential downtime and keep systems running smoothly.”
Learn more about Charon-SSP 6.0 here.
Updating is one of the essential procedures of application modernization, be your enterprise B2C or B2B. Manufacturing is no different. If anything, it is more complex and involves more parties in this industry. From the raw material to the end-product, the implement changes hands several times and is unified only at its conclusion.
However, mission-critical manufacturing application modernization is more than following some steps. It is about selecting the right services, choosing the time and cost, listening to everyone’s concerns, and bearing business continuity in mind.
Yet, to modernize legacy manufacturing applications, the above is necessary in bulk. Legacy systems already cause severe hardships for ITDMs; these increase as time goes on till permanent system failure.
Complete application modernization in manufacturing is not possible for any enterprise. It has to be phased, and proper solutions have to be used for the steps. Only then can the process be completed without any hurdles.
Every industry is going through immense changes. In manufacturing, AI, the hybrid cloud, smart factories, cobots, and others are taking up space. While changes were slower before, they have become faster in the digital age. Modernization is necessary now, and faster than you think, to incorporate these changes.
Legacy systems, during their heydays, were functioning fast and performing greatly. However, they are now slow, require extra effort, and cost more than you want to expend. In short, they are slowing down manufacturing operations in more ways than one.
You need to invest in several technologies to create a smart factory. These include IIoT, digital twins, cobots, advanced analytics, MES, SCADA, HMI, and cloud platforms. What you choose depends on your needs.
AI is not an absolute necessity for modern manufacturing. However, by recent activity, it is fast becoming so. Every factory is incorporating AI in its systems in various ways for different options. It does have certain risks, so the best option is to follow instructions and maintain safety measures.
The exact timing to modernize legacy manufacturing applications depends on your business as much as the system itself. A legacy application should be changed before it goes well into its EOSL. However, make sure your business does not lose continuity with the system failing completely and beyond repair.
The Stromasys Research Team is a collective of experts specializing in researching and writing about legacy systems modernization, virtualization, and hardware emulation. With a combined experience of over 15 years, the team has researched, written, and published 200+ in-depth content pieces exploring how organizations across manufacturing, aerospace, finance, and public sector environments extend the life of mission-critical platforms while transitioning to modern infrastructure. Their work is informed by real-world customer deployments, input from engineering, and updated insights on what is latest in the world of legacy systems including SPARC, PA-RISC, VAX, Alpha and PDP environments.
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