Breaking the limitations of legacy systems, achieving enhanced connectivity and flexibility for smart operations
Edge Computing Platform for CPS
CEREBRO-Edge supports multiple communication protocols, enabling real-time data collection and integration from industrial assets, control systems, and IoT devices.
With over 150 device connectors, it facilitates smooth data exchange and control, ensuring collected edge data is normalized and instantly available for cloud or local applications.
A key differentiator of CEREBRO-Edge is its DPI-based precise data analysis, which provides deep insights into network traffic, enabling advanced data processing and security control.
CEREBRO-Edge provides MSA-based scalability, allowing businesses to efficiently transform legacy applications into microservices while leveraging built-in CPS-specific applications for industry-optimized solutions.
The Message Bus Module supports real-time communication between microservices, ensuring DPI-based real-time data collection results are seamlessly transmitted to the Message Broker for precise and efficient data utilization.
New MSA services can be easily subscribed to, enabling flexible data processing for various applications.
CEREBRO-Edge provides a reliable operational environment through comprehensive security measures, including identification and authentication, encryption-based protection, network traffic monitoring, and access control.
Leveraging DPI-based security, the platform enables granular access control, prevents unauthorized access, and ensures data is only accessible to designated applications and devices. DPI also enables deep packet inspection of network traffic, delivering precise security control for CPS environments.
The cloud-native transformation of CPS environments involves seamlessly migrating on-premises or legacy applications to the cloud.
Edge computing plays a crucial role in CPS cloud-native transitions by enabling real-time control at the field level while ensuring seamless integration with cloud analytics. This approach reduces latency, enhances system resilience, and enables predictive decision-making for optimized operations.
By bridging physical and digital systems, edge computing enhances operational flexibility and scalability, creating a future-proof industrial environment.
Edge computing enables real-time data collection and processing across heterogeneous CPS devices, seamlessly integrating diverse protocols and formats at the edge.
By normalizing data before cloud transmission, CEREBRO-Edge resolves CPS-specific integration challenges, ensuring smooth interoperability between control systems, IoT devices, and industrial assets.
This reduces latency and optimizes bandwidth usage, allowing the cloud to focus on long-term analysis and centralized management.
The MSA approach allows applications to be modularized into independent microservices, which can be deployed and managed flexibly.
By decoupling legacy applications from hardware dependencies, MSA enables seamless deployment and management of applications in cloud-native environments, ensuring business agility and adaptability to evolving industry demands.
In resource-constrained environments such as industrial control systems, lightweight orchestration is essential.
Lightweight orchestration enables seamless cloud-native application deployment at the edge, ensuring autonomous management without relying solely on central cloud systems.This approach optimizes resource utilization and guarantees stable performance in constrained environments.
CEREBRO-Edge integrates DPI-based real-time traffic analysis, providing granular threat detection and access control.
This allows for packet-level traffic monitoring, fine-grained permission settings, and enforcement of Zero Trust security models.
Additionally, identification, authentication, encryption-based protection, network traffic monitoring, and access control ensure a secure and trustworthy operating environment.