Manage IoT data complexity at scale with open source technology
A connected world of the Internet of Things (IoT) promises a flow of data for organizations to make real-time decisions that benefit people, vehicles, factories, cities, digital services and provide safe environments, and efficient processes. But these scenarios only apply when data is seamlessly processed in real time and at scale. Integrating, routing and analyzing the massive amounts of data returned from device fleets is challenging without the right infrastructure in place.
Bringing Linux-enabled and fixed-function devices on to an IoT network today means organizations need to depend on proprietary solutions or, worse, a complete OS and hardware upgrade at considerable cost. To reliably manage, make use of and act on device data in real-time, many need to implement observability and monitoring tools that can integrate with the rest of your infrastructure.
“Data returned from devices such as logs and telemetry is centralized and routed through Pantacor Fleet.”
The Pantacor platform enables embedded developers and operations teams to connect, deploy new applications and manage software lifecycle updates with DevOps methods and modern open source tools on any Linux embedded device. Data returned from devices such as logs and telemetry is centralized and routed through Pantacor Fleet. Because Pantacor is based on open source, data can be analyzed and acted on with standard tools available from cloud native ecosystems such as Kubernetes, Prometheus and Grafana. Alternatively, teams can also leverage Pantacor’s Fleet APIs that easily integrate with popular enterprise IoT solutions for real-time decision making and analysis.
Pantacor manages data with:
Community supported and open source that easily integrates with standard monitoring and observability tools means ease of data streaming and aggregation.
Pantacor Fleet adds a layer of orchestration on top of Hub’s basic APIs. It let’s you partition your device deployment according to logical groups, enabling your operations teams to take care of updates and rollouts with fine-grained control and through simple APIs that can effectively integrate into any business applications or open source tools you might have in deployment.
Turn devices into software defined IoT.
Delivering containerized applications to the edge with DevOps and open source.