Infrastructure as Code describes the process of deploying and managing IT infrastructure through auditable configurations (e.g., YAML files) from a centralized repository. Instead of installing devices manually, an Infrastructure as Code (IaC) environment collects and provides all details for setup and running a device over a network. This approach reduces management and maintenance efforts while minimizing human error at setup. Also, in cloud-based solutions and in clustering devices, IaC is a key element to improve scalability and a fast and reliable deployment of homogeneous systems.
Compared to No-Code and Low-Code solutions, the IaC approach unfolds its advantages especially for larger and more complex setups: Once a configuration file has been written, it can be applied to identical machines or assets in seconds. Implementing additional assets in this way is more than 95% faster than with a regular setup. Configuration files also enable automated rollouts. Here, too, the user not only benefits from speed, but can also rule out errors that would have been possible with manual implementation.
The IaC-approach describes an entire infrastructure, needed for an IIoT use-case, in only one structured text file – often called the configuration or commissioning file. This file lists all of its components, called resources, and defines their specifications and interrelations in a standardized way. The commissioning file thus avoids time-consuming maneuvering of separate configurations or even scripts for each and all the different elements needed in a use-case. Everything is in one place, structured and standardized.
Die führende Manufacturing Data Platform Connectware eignet sich für die ersten Schritte der Digitalisierung bis hin zur Smart Factory Transformation. Neben voller Shopfloor-Konnektivität schafft Connectware eine skalierbare Dateninfrastruktur für digitale Projekte ohne Grenzen. Eine Plattform für alle IIoT Projekte, unabhängig von Schnittstellen und Herstellern.
Die Erfolgsgeschichten unserer Kunden zeigen, wie die strategische Entscheidung für eine Manufacturing Data Platform zukunftssicher skaliert.