Edge deployment
When you have sensors and devices in places with limited connectivity, or that produce too much data to send to the cloud cost-effectively, or require millisecond response times from analytics, edge solutions are the answer. Run your IoT solution at the edge with all the features of Cumulocity on the cloud. That means that even in air-gapped on-premises networks, you’ll have access to ready-to-use cockpit apps, code-free device management, self-service analytics, as well as cost-efficient data storage.
Be at the edge – not on it
Easy to install, easy to manage
Cumulocity Edge can be deployed either as an Appliance VM or on Kubernetes. It is a single-server variant of the Cumulocity platform designed for deployment in local environments such as factories on industrial PCs or local servers. This setup allows for onsite data processing and management, ensuring low latency and improved security for IoT assets by keeping data within the local infrastructure.
For more detailed information, visit the Cumulocity Edge documentation.
Enhanced security and trust
Cumulocity Edge implements the Security Technical Implementation Guides (STIGs) developed by the Defense Information Systems Agency (DISA) in the United States.
STIGs offer a comprehensive framework for configuring and managing security settings, addressing potential vulnerabilities before they can be exploited. By integrating STIGs, Cumulocity Edge enhances its defense mechanisms, ensures regulatory compliance, and fosters trust among users by maintaining a secure and resilient IoT environment. This commitment to security not only protects critical data but also supports the reliable operation of IoT systems in various industries.
For more detailed information, you can visit the Configuring Edge — Cumulocity documentation
Cumulocity cloud to Edge continuum
Edge deployment enhances security and confidentiality by processing data locally, keeping sensitive information within premises and reducing the risk of external breaches, thereby ensuring compliance with data protection regulations. It optimizes local data processing, minimizing the need to send large volumes of data to centralized cloud servers, reducing bandwidth usage and costs.
By analyzing and filtering data locally, only relevant information is sent to the cloud, lowering operational expenses.
For more detailed information, visit the Cumulocity Product overview.
Develop once, deploy anywhere
A distributed IoT architecture integrates IoT devices and data processing across various locations, including sensors, gateways, on-premise data centers, and cloud environments. Cumulocity supports the entire chain, enhancing value by processing data closer to its source.
This approach reduces latency, improves real-time decision-making, and bolsters security. It optimizes bandwidth usage by filtering data locally and transmitting only essential information to the cloud, ensuring efficient and scalable management of numerous IoT devices and data points.
Efficient connectivity and Edge data processing
Efficiently translate industrial data by processing and analyzing it locally on an edge computing platform. Filter the data to ensure only necessary information is sent to the cloud, achieving fast and accurate data translation with minimal programming effort.
For more information, visit Edge to Cloud connectivity.
Store only the data you need
Thin edge or thick edge: The best of both worlds
You can choose to run thick edge with local compute nodes, or thin edge with resource-constrained edge devices. When you choose our enterprise-grade thin edge, you gain robust device management, high performance on embedded devices, security by design, and out-of-the-box connectivity—get started with just a few steps.
Learn more: What is thin edge?
