| guide | Baetyl v2.4.3 has been released, and some functions of v2.3.0 have been upgraded and optimized. According to the announcement, these new functions continue to follow the cloud-native concept and build an open, secure, scalable, and controllable intelligent edge computing platform. |
The Baetyl project was initiated by Baidu and is open source based on Baidu Tiangong AIoT intelligent edge. It is the first edge computing project in China to join LF Edge. It aims to expand cloud computing capabilities to user sites and provide temporary offline and low-latency computing services. Including device access, message routing, message remote synchronization, function computing, device information reporting, configuration delivery and other functions.
New features and optimizations in v2.4.3 compared to Baetyl v2.3.0 release include:
- Added three types of southbound protocol drivers, including Modbus, OPCUA, and BACnet, to support device access of these three types of protocols. The introduction and operation of device access have been updated to the Baetyl open source document, which introduces in detail how to use Baetyl to deliver the Modbus simulator and the corresponding driver, and at the same time observe and collect the results through baetyl-broker. Link: https://docs.baetyl.io/docs/cn/latest/practice/modbus.html;
- Added support for Windows platform, the main module of Baetyl edge side can specify to generate Window platform image;
- The remote call function has been realized, and the access can be initiated to the specified service address on the edge side through the cloud and the access result can be obtained;
- Added eKuiper in container mode as an optional system application;
- Added Baetyl-rule module support for HTTP Target;
- Increase the adaptation up to K3s 1.24.4 version;
- Fix the problem that job load type creation fails.
The above new functions are immediately available with the release of Baetyl v2.4.3, and Baetyl will continue to improve and optimize the functions in the future.
Integrate with eKuiper to promote platform innovation
Baetyl uses eKuiper as an optional system application on the edge side for stream processing and data analysis. The partnership and integration with eKuiper increases connections between LF edge projects and fosters innovation. The wide adaptability of platforms and versions enables Baetyl to run on more different devices, and the optimization of device management and new driver support prepare for the access of more devices with different protocols, which means that developers can more quickly , Deploy eKuiper more conveniently. Through Baidu Tiangong AIoT's system application, one-click release and run Baetyl, cloud computing, data and services are seamlessly extended to edge devices, and developers can build lightweight, secure and scalable edge applications. In the new version, the integration between Baetyl and eKuiper has made the following changes, including:
- Set the mqtt client as the Baetyl broker;
- Mount the eKuiper data file to the host to ensure that the configuration is not lost;
- Add the k8s service to the eKuiper application so that the open API of eKuiper can be called from the host and within the cluster to realize edge configuration changes;
- Built-in eKuiper as an optional application in the Baetyl framework, so that eKuiper can be installed directly through Baetyl without a separate installation;
- After the integration, the Baetyl framework enhances the edge message processing capabilities, and users can use Baetyl's capabilities to use eKuiper more conveniently and quickly.
By pushing computing power to the edge of the data source, combined with powerful streaming data processing software, users can monitor, analyze and respond to large-scale real-time data streams in real time. The edge computing platform plus stream data processing application of this model can bring huge potential and advantages in the fields of industrial automation, Internet of Things, smart cities and financial services. For example, in the industry, it is possible to perform real-time anomaly detection, predictive maintenance, and recover sample data to achieve algorithm optimization at the factory site, reduce the pressure of cloud data processing, improve corresponding real-time performance, and provide more efficient and intelligent solutions for the overall project.
In future releases, Baetyl will strive to enhance the management of non-smart devices at the edge, including providing:
- Provide more comprehensive management functions for device models, devices and drivers on the cloud management platform;
- In terms of southbound access, open source drivers are gradually enriched. At the same time, it builds a device access framework, provides custom protocol plug-in development documents, supports users to do protocol-driven development for private protocols, and supports fast access to private protocol devices. Gradually realize the accumulation of southbound drive;
- On the northbound route, the edge measurement point information is converted into mqtt messages in blink format, which supports direct connection to Baidu Tiangong IoT device management platform;
- Further expand and optimize the underlying implementation of cloud storage, and provide support for database storage other than k8s crds. It will also strengthen the integration with K8s cloud-native, and provide more access to edge cloud-native capabilities, such as automatic scaling of edge applications, and support for container health checks.
"The release of Baetyl v2.4.3 marks the continuous evolution and innovation of the Baetyl edge computing platform. As an open source project, Baetyl has been adhering to the concept of open cooperation and working with the community and partners to promote the development of edge computing technology. In the future, we will Continue to work on improving and perfecting Baetyl to provide developers and enterprises with more powerful and reliable edge computing tools. We look forward to more innovative edge applications being born with the support of Baetyl to promote the further development and popularization of edge computing."