Digital Transformation capability
Flexible Digital Infrastructure for Connected Operations
Cloud computing provides a flexible way to store, process, manage, and access data and applications without depending entirely on local hardware.
For industrial organizations, cloud technology can support remote monitoring, centralized data management, advanced analytics, collaboration, reporting, and the connection of multiple sites within a shared digital environment.
We design cloud-based and hybrid solutions around the actual needs of each organization. Depending on the project, the system may operate entirely in the cloud or combine local servers, edge devices, private networks, and cloud platforms.
Our focus is not simply on moving data to the cloud. We develop practical architectures that improve accessibility, scalability, security, and long-term system performance.
Industrial information is often distributed across different systems, locations, and departments. Some data may remain inside control systems, while other information is stored in databases, spreadsheets, maintenance platforms, or standalone software.
Cloud computing creates an environment where selected information can be collected, stored, processed, and made available to authorized users.
Our solutions can support:
The architecture is selected according to the sensitivity of the data, required response time, number of users, available infrastructure, and future expansion plan.
The cloud service portfolio is organized into focused, accessible modules that can be explored independently.
Every cloud project begins with selecting the right architecture.
We assess the existing systems, data sources, applications, communication infrastructure, cybersecurity requirements, and expected system growth.
Based on this assessment, we design an architecture that may include:
The objective is to create an architecture that is reliable, manageable, and suitable for the organization’s actual operating environment.
Industrial and operational systems can generate large amounts of information over time.
We develop cloud-storage solutions for structured and unstructured data, including:
Storage policies can be defined according to data importance, retention period, access frequency, and regulatory requirements.
The system can also include automated backup, data archiving, and recovery functions.
Cloud databases provide scalable storage for applications, dashboards, analytical platforms, and connected industrial systems.
Depending on the project, we can work with:
The database structure is designed around the type of data, required query speed, expected data volume, and application requirements.
A properly designed database makes information easier to retrieve, analyze, and integrate with other systems.
We develop cloud-based monitoring platforms that allow users to access operational information from authorized locations and devices.
Dashboards may display:
Access permissions can be defined for different users, including operators, engineers, maintenance teams, managers, customers, and external service providers.
The interface can be designed for desktop computers, tablets, and mobile devices.
We develop web-based and cloud applications for industrial and business requirements.
These applications may be used for:
Applications can be developed as standalone systems or integrated with existing industrial and enterprise platforms.
Cloud platforms become more useful when they can exchange information with existing industrial systems.
We design interfaces that connect cloud applications to:
Data can be transferred continuously, periodically, or when specific events occur.
Where direct cloud communication is not suitable, an edge gateway or local server can act as an intermediate layer.
Cloud platforms can provide the computing power required for advanced data processing, machine learning, simulation, and artificial intelligence.
Cloud-based analytics can support:
Analytical models may run directly in the cloud or through a hybrid architecture where critical calculations remain local.
Data availability is an important part of any digital platform.
We design backup and recovery solutions to reduce the risk of data loss and help systems return to operation after hardware failure, software problems, cybersecurity incidents, or other interruptions.
Depending on project requirements, the solution may include:
The required recovery time and acceptable data-loss level are defined during the design stage.
Different organizations have different requirements for security, control, cost, and flexibility.
Public cloud platforms provide scalable computing, storage, databases, and software services through shared infrastructure.
They are suitable for applications that require rapid deployment, flexible capacity, remote access, and scalable processing.
A private cloud is dedicated to one organization and can be located within the company’s own infrastructure or hosted by a service provider.
This approach offers greater control over data, applications, access policies, and system configuration.
A hybrid cloud combines local or private infrastructure with public cloud services.
Critical operational functions and sensitive data can remain inside the site, while selected information is transferred to the cloud for monitoring, storage, reporting, or advanced analysis.
For many industrial applications, the hybrid approach provides a practical balance between security, performance, and flexibility.
Cloud computing does not always replace local systems.
In many industrial projects, the best architecture includes several layers:
PLCs, DCS systems, and local controllers continue to manage critical operations.
Gateways and edge computers collect, filter, process, and temporarily store data close to the equipment.
Selected data is transferred to the cloud for centralized storage, remote access, analytics, reporting, and application services.
This layered structure helps reduce dependence on internet availability while still providing the benefits of cloud technology.
Cloud systems must be designed with security as a core requirement.
Depending on the project, our approach may include:
Access can be limited according to user role, location, device, project, or data type.
Industrial control functions should remain protected from unnecessary external access, and cloud connectivity should be designed without compromising the safety and reliability of the operational environment.
One of the main advantages of cloud computing is the ability to expand the system as requirements grow.
A project may begin with one machine, one production line, or one industrial site. The same platform can later be expanded to support:
We design the system architecture with future development in mind, so expansion does not require rebuilding the entire platform.
Our cloud-computing solutions can be developed for different sectors, including:
Typical applications include:
Every cloud project begins with an assessment of the existing infrastructure and expected outcomes.
Our typical workflow includes:
Reviewing the current systems, applications, and data sources
Defining technical, operational, and business requirements
Evaluating cybersecurity and data-governance requirements
Selecting the appropriate local, edge, cloud, or hybrid architecture
Designing databases, communication interfaces, and applications
Developing and configuring the required platform
Integrating the solution with existing industrial and enterprise systems
Testing performance, security, and reliability
Deploying the system and training users
Providing support, maintenance, and future expansion
The final solution may include cloud databases, dashboards, web applications, analytical services, remote-access platforms, backup systems, and integration with existing software and control infrastructure.
Building a Flexible Digital Environment
Cloud computing gives organizations the flexibility to access information, run applications, and scale digital services without depending entirely on fixed local infrastructure.
However, successful cloud implementation requires more than selecting a cloud provider. The architecture must match the actual operational, technical, and security requirements of the organization.
By combining cloud technology with industrial automation, IoT, edge computing, software development, databases, data analytics, and engineering knowledge, we create practical cloud solutions that support connected, scalable, and data-driven operations.
Related capabilities
Move between the connected capabilities that make industrial data operationally useful.
Cloud Computing
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