Digi Forge
Digi Forge
Digi Forge

DIGI EDGE facilitates the decentralized processing and analysis of data through edge computing

Introducing DIGI EDGE

Our specialized software solutions crafted for edge computing environments. With DIGI EDGE, data analysis and management take place directly at the edge, precisely where data originates. Additionally, it seamlessly synchronizes with the DIGI server, ensuring perfect alignment with your distinct business requirements. You have the flexibility to connect it to public DIGI servers, such as DIGIEYE IoT Platform or link to DIGIEYE IoT Platform.

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EDGE ARCHITECTURE

DIGI EDGE empowers you to process and store data from local (EDGE) devices independently of the central server. Updates are synced with the server automatically once connectivity is restored, ensuring seamless data management and reliability.

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Digi Edge serves as the central component for processing and managing data directly at the edge of the network.

  • 1. Local Deployment and Storage

    DIGI EDGE enables the processing and storage of data from local (edge) devices independently of the central server.

    Data is stored locally, ensuring resilience and availability even in the absence of network connectivity.

    Updates are synchronized with the central server seamlessly once connectivity is restored, ensuring data consistency and reliability.

  • 2. Data Filtering with DIGI Engine

    DIGI Engine, integrated into DIGI EDGE, provides powerful data filtering capabilities.

    It allows for the refinement and processing of data at the edge, enabling efficient utilization of network resources and reducing latency.

    Data filtering ensures that only relevant data is transmitted to the central server, optimizing bandwidth usage and enhancing overall system performance.

  • 3. Data Visualization with dashboards

    Digi Edge offers built-in capabilities for visualizing data through customizable dashboards.

    Users can easily configure and customize dashboards to monitor specific metrics and key performance indicators (KPIs) relevant to their use case.

  • 4. Database Storage

    Digi Edge facilitates seamless integration with databases for persistent storage of data.

    Data collected from edge devices and sensors can be stored in a database for historical analysis, reporting, and decision-making.

  • 5. Data Acquisition from Sensors

    DIGI EDGE supports data acquisition from sensors connected to the edge via industry-standard protocols such as MQTT and HTTP.

    Sensors transmit data to DIGI EDGE, where it undergoes processing, filtering, and visualization before being synchronized with the central server..

    This ensures efficient data collection and management from a diverse range of sensors deployed at the edge of the network.

Local Alarms

Local Alarms feature empowers users to respond instantly to critical situations on-site, even in scenarios where connectivity to the central server may be disrupted.

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Immediate Response to Critical Situations
Operational Continuity Without Server Connectivity
Customizable Alerting Parameters
Integration with Edge Devices and Sensors

Key Strengths

  • Robust & Efficient

    A single DIGI Edge  instance can efficiently manage up to 1,000 devices, depending on the specific use case and hardware capabilities.

    This robustness ensures reliable performance and scalability for a wide range of IoT applications.

  • Durable

    DIGI Edge  ensures data integrity by collecting all messages and events in a persistent layer.

    Only selected messages are transferred to the server as needed, optimizing bandwidth and storage utilization.

  • Customizable

    The built-in DIGI engine allows for easy enhancement of functionalities.

    Users can customize widgets and dashboards to suit their specific needs and preferences, providing a tailored user experience.

  • Scalable

    Computational tasks and data analysis can be distributed across thousands of Edge instances, providing exceptional scalability.

    This distributed architecture ensures that the system can grow with your business needs, handling increasing data volumes and complexity.

  • Low Latency

    By processing data locally at the edge, DIGI Edge Edge minimizes latency, ensuring faster response times for critical applications.

  • Reduced Bandwidth Usage

    Local data processing reduces the amount of data that needs to be sent to the central server, lowering bandwidth usage and associated costs.

  • Enhanced Privacy and Security

    Keeping data local can enhance privacy and security by minimizing the exposure of sensitive information to external networks.

  • Improved Reliability

    Local processing ensures that critical functions can continue uninterrupted even if connectivity to the central server is lost, enhancing overall system reliability.

  • Cost-Effective

    Reducing the dependency on centralized data centers can lower operational costs, making it a cost-effective solution for many organizations.

  • Flexibility & Adaptability

    DIGI Edge  can be easily integrated with various sensors and devices using standard protocols like MQTT and HTTP, providing flexibility in deployment and integration..