Deploying containerized applications to remote IoT devices with minimal latency.
Edge computing brings processing power closer to the data source. Kubernetes (K3s) is now lightweight enough to run on industrial IoT gateways, enabling real-time analytics in factories and smart cities.
### GitOps for the Edge
Managing thousands of remote clusters requires a declarative approach. We use GitOps workflows to ensure that edge devices are always synchronized with the latest configuration.
### Real-Time Processing
By processing data at the edge, latency is minimized, and bandwidth usage is reduced. This is critical for applications that require immediate responses, such as autonomous vehicles and industrial automation.
### Scalability and Management
Kubernetes provides the orchestration capabilities needed to manage distributed edge environments. Automated scaling, self-healing, and rolling updates allow for efficient operation of large-scale edge deployments.