edgenesis
Tackle Industrial IoT Challenges at the Edge with
SUSE x Edgenesis White Paper
SUSE x Edgenesis White Paper
Check out our new white paper "Connecting Industrial IoT Devices at the Edge inside Kubernetes"
Get the White PaperThe Nervous System of Physical AI
SERIES: Scalable, Extensible, Reliable, Interoperable, Edge-cloud coordination, Securable
Integrate any device. Deploy any use case.
Trusted by Industry Leaders
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Embracing Open Source Best Practicesand Industry Standards
Why Edgenesis
Efficient
Get a faster market approach through 10X developer productivity
Reusable
Applications can be easily adapted and reused across multiple scenarios
Cloud & Kubernetes Native
Scalable, highly available, secure and modularized IoT & edge AI solutions
Vendor-Agnostic
Embrace technology freedom by adopting best open-source practices
What Our Customers & Partners Say
The advent of the cloud-native era has reconfigured the infrastructure of all enterprises, and the open source of Shifu will further help enterprises with their IoT management. I sincerely hope that Shifu project will excel itself in the future.
William G.
Board Member, Apache Software Foundation
Shifu's cloud-native architecture is based on Kubernetes, which is very innovative, further unleashing the control and management capabilities of edge devices and providing application development engineers with a unified base for cloud edge collaborative management.
Tina T.
Chairman of LF Edge Board
Shifu's cloud-native architecture supports containerized deployment more perfectly. I hope that Shifu could explore more possibilities in IoT scenarios with TDengine 3.0 in the future.
Jeff T.
Founder of TDengine
Shifu helps us integrate all of our devices in a smart and efficient way. With Shifu, we can treat all of our devices as software objects and abstract away the physical devices. This makes it easier for us to manage and control our devices.
Kanyon E.
Lead Robotics Engineer, Life-Foundry
