🏭 IT and SCADA Convergence: A New Era in Industrial Automation 🚀

[Elif Özaksu]

Industrial control systems and enterprise software have progressed on separate paths for years. Control systems prioritized reliability and stability, while enterprise software focused on speed, iteration, and scalability. But now, these two worlds are converging!

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🌐 The Rise of Web-Based SCADA 💡​

Modern web-based SCADA (Supervisory Control and Data Acquisition) platforms, particularly those like Inductive Automation's Ignition, are fundamentally changing how industrial systems are built, deployed, and maintained. This is leading to development methodologies long used in the IT (Information Technology) world beginning to influence automation solutions.

The Digitalization Group (DSG) within Process and Data Automation (PDA) is at the heart of this convergence. Formerly focused on the connection between enterprise systems and factory operations, the DSG now operates at the intersection of web software and industrial control.

According to Eric Williams, PDA's Digitalization Group Manager, this shift represents much more than just a technology upgrade. "SCADA systems are increasingly becoming web applications," says Williams. "When that happens, it's not just the tools you use that change, it's the way you build systems." This change in mindset is giving rise to a new model for industrial automation development.

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🛠️ Designing Developer-Agnostic Systems 🧠​

One of the most enduring challenges in industrial automation is long-term sustainability. While systems often evolve over decades, engineering teams inevitably change. To address this, PDA's DSG team advocates for a philosophy that will be familiar to modern software engineers: System architecture should be independent of the individual developer who built it.

Ethan Caplea, a solutions specialist at PDA, states that the goal is to write code without a "coding accent." Rather than each developer bringing their own stylistic rules, projects follow strict internal standards designed to produce a consistent structure across systems.

The implications of this are significant:

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  []Engineers can immediately understand the structure of a project when they step into it.
  
  []Maintenance and troubleshooting become faster and less risky.
  
  []Upgrades can be implemented more frequently with much less friction.
  
  

In essence, the system becomes institutional knowledge rather than personal knowledge — a critical distinction for infrastructure expected to operate for decades.

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💻 When SCADA Starts Behaving Like IT Software 🔄​

Web-based SCADA platforms have also unlocked the ability to adopt development models in industrial automation that were previously impractical.

In the past, SCADA deployments often followed a "big bang" model. Systems would be designed, built, and deployed as a largely complete solution. Modern web architecture allows for something different. Now, development teams can release features incrementally rather than waiting for a fully completed system. Components can be developed, tested, and introduced in stages, allowing operational teams to interact with the system as it evolves.

This shift mirrors the agile development models common in enterprise software and fundamentally changes how integrators and clients work together. Project roadmaps become living documents, priorities shift as operational demands evolve, and clients are integrated into the development process in ways rarely possible before.

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🏭 DevOps Comes to the Factory Floor 🚀​

The convergence with IT development practices is further evident in the adoption of DevOps (Development and Operations)-inspired workflows. In this model, development and deployment follow a structured progression:

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• ]Engineers develop and test functionality in isolated systems.
  
  []Updates are introduced into the client's non-production environments for validation.
  
  []Once approved, releases are pushed to production.
  

This approach enables continuous improvement without sacrificing operational stability. Multiple engineers, and even client teams, can contribute to development simultaneously while maintaining clear release checkpoints. If an issue arises, updates can be quickly rolled back without disrupting operations.

"These approaches have been standard in IT for years," says Williams. "But in control systems integration, they represent a real evolution in how projects are delivered."

Another significant impact of web-based automation platforms is cultural rather than technical. As industrial systems increasingly resemble modern software applications, the gap between IT and operations begins to narrow. Development tools, architectural patterns, and release cycles become more familiar to enterprise software professionals. This shared understanding significantly facilitates cross-departmental collaboration.

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🔮 Laying the Foundation for Future Industrial Applications 🏗️​

This push towards standardization and modular development is also laying the groundwork for the next generation of industrial software. Structured architectures, reusable components, and consistent data models create systems that are easier to extend, whether for advanced analytics, enterprise integration, or emerging artificial intelligence (AI)-driven capabilities.

AI systems learn most effectively from environments where patterns, naming conventions, and data structures are predictable. By building applications on standardized foundations, organizations are not only improving sustainability today but also creating structured environments where AI tools can meaningfully assist production teams in the future.

As AI is integrated into SCADA systems, production teams will be able to consult AI agents for process optimization, maintenance teams will rely on predictive and prescriptive analytics tied into ERP (Enterprise Resource Planning) and CMMS (Computerized Maintenance Management System) platforms, and managers will gain the ability to forecast production costs and assess profitability with greater accuracy.