Empower your IoT systems with custom edge connectivity
Our ready-to-use edge agent architecture lets you seamlessly build connected solutions with flexibility and extensive hardware support.
What is IoT Edge Computing?
Edge computing is a decentralized computing architecture where data is being stored, processed, and analyzed closer to where it's generated or consumed. Edge computing is critical to use cases that rely heavily on real-time data processing and a lower reliance on the cloud.
Get one step closer to extending cloud features to the edge
Reduced latency
Process data locally and eliminate the need to send data back and forth to the cloud, allowing for immediate response and action.
Cost efficiency
Process data at the edge and only send relevant or aggregated data back to the cloud. Save on bandwidth and cloud storage costs.
Dependable operation
Operate locally even without an internet connection, ensuring continuous operation even when the cloud is unavailable.
Unlock cloud capabilities at the edge
Harness the power of edge computing to run your IoT systems with velocity, agility, and flexibility.
Seamlessly configure agents from the cloud
Deploy pre-built Edge Agents directly to your devices from the cloud console. Configure data streams, filters, and local triggers without writing complex code.
Connect your devices to the application
Build native plugins using our comprehensive SDK. Ensure that all the data is processed natively in the edge agent and transform protocols prior to sending it over to the cloud for further processing.
Perfect fit for complex computations
Use a high-performance agent architecture to run local machine learning models, run heavy computations, or high-volume data streams.
Distinct approaches to meet diverse needs and technical proficiencies
Lite Edge Agent
- User-friendly Configuration
- Seamless Data Collection
- Lightweight agent
SDK & Plugins
- Flexible Development
- Custom APIs
High-performance Agent
- Compute Heavy Tasks
- Optimized Performance
Frequently asked questions
How does edge computing enhance security in IoT deployments?
Edge computing enhances security by processing sensitive data locally, minimizing the amount of data transmitted over the internet, thereby reducing the attack surface.
What is the main challenge of implementing edge computing?
The primary challenge is often managing and orchestrating the fleet of decentralized devices, which is why a robust platform with centralized fleet management APIs and OTA update capabilities is essential.
How is the exact balance between latency and processing determined?
It depends on the specific use case. For immediate feedback loops (like robotics or safety sensors), processing is pushed entirely to the edge. For trend analysis, data can be filtered locally and aggregated in the cloud.
Can edge computing completely replace cloud computing?
No, they are complementary. Edge computing handles real-time, low-latency tasks and data filtering, while cloud computing remains necessary for heavy machine learning training, long-term storage, and global data aggregation.