Baetyl Issues 2.2 Release, Adds EdgeX Support, New APIs, Debugging, and More
Baetyl, which seamlessly extends cloud computing, data and services to edge devices, enabling developers to build light, secure and scalable edge applications, has issued its 2.2 release. Baetyl 2.2, based on community contributions, now contains more advanced functions. Still based on cloud native functionality, Baetyl’s new features continue build an open, secure, scalable, and controllable intelligent edge computing platform.
Specific new features in the 2.2 release include:
Support for working with EdgeX Foundry
Baetyl v2.2 has updated compatibility with LF Edge sister project, EdgeX Foundry. Through Baetyl’s remote management suite, “Baetyl-cloud,” users can deliver all 14 EdgeX services to the edge. The delivered EdgeX services will be submitted by Baetyl to local Kubernetes clusters for deployment and monitoring synchronized to the cloud.
New API definition, which is needed to support edge cluster environments
In the industrial IoT scenario, there are often many industrial control boxes to form an edge cluster scenario. Baetyl defines open multi-cluster management APIs. By implementing these APIs, the entire cluster can be reflected on the cloud console. Users can easily deploy applications to defined edge clusters, and specify edge node affinity within those clusters.
Support for DaemonSet load type applications
In the context of supporting clusters, a new load method is needed to support deployments like the function of monitoring the status of each node in the cluster, so Baetyl also supports DaemonSet. Through this load type, the service can be a single replica launched on every node in the matched cluster, and it will be automatically scaled to new added nodes and vice-versa.
New API definitions for remote debugging and remote log viewing of deployed applications
To facilitate debugging or log viewing operations on edge devices, Baetyl has established an open remote debugging API that can connect with multiple cloud control systems in the future.
New API definitions for GPU monitoring and sharing functions
Support for the GPU mainly includes two aspects: one is the monitoring of the use of the GPU, and the other is the support for the GPU sharing. Through the GPU monitoring module, Baetyl-core can obtain the current GPU memory usage, temperature, energy consumption and other information in real time. With the GPU sharing function, multiple applications can share the GPU resources of the device. At present, the definition of the GPU support interface has been completed, and only a module containing the GPU share function needs to be provided on the end side to use.
More official modules
There will be more official system modules are also provided:
- baetyl-init: Responsible for activating edge nodes to the cloud, initializing and guarding baetyl-core, after the task is completed, it will continue to report and synchronize the core state.
- baetyl-rule: can realize the message flow of baetyl framework end-side, and exchange messages in baetyl-broker (end-side message center), function service, IoT Hub (cloud MQTT broker).
In addition to these new features, Baetyl 2.2 also provides many other functional details for optimization and mechanism improvement, such as the optimization of the installation process; the system application can now be configured according to needs, and the transaction execution interface and task queue interface are defined.
All these new features will be available immediately with the release of Baetyl 2.2. More information is available here: https://github.com/baetyl/baetyl.