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· 3 min read

On July 1, 2023, KubeEdge released v1.14. The new version introduces several enhanced features, significantly improving security, reliability, and user experience.

v1.14 What's New

Release Highlights

Support Authentication and Authorization for Kube-API Endpoint for Applications On Edge Nodes

The Kube-API endpoint for edge applications is implemented through MetaServer in edegcore. However, in previous versions, the authentication and authorization of Kube-API endpoint are performed in the cloud, which prevents authentication and authorization especially in offline scenarios on the edge node.

In this release, the authentication and authorization functionalities are implemented within the MetaServer at edge, which allows for limiting the access permissions of edge applications when accessing Kube-API endpoint at edge.

Refer to the link for more details. (#4802)

Support Cluster Scope Resource Reliable Delivery to Edge Node

The cluster scope resource can guarantee deliver to the edge side reliably since this release, especially include using list-watch global resources, the cluster scope resource can be delivered to the edge side reliably, and the edge applications can work normally.

Refer to the link for more details. (#4758)

Upgrade Kubernetes Dependency to v1.24.14

Upgrade the vendered kubernetes version to v1.24.14, users are now able to use the feature of new version on the cloud and on the edge side.

note

The dockershim has been removed, which means users can't use docker runtime directly in this release.

Refer to the link for more details. (#4789)

Support Kubectl Attach to Container Running on Edge Node

KubeEdge already support kubectl logs/exe command, kubectl attach is supported in this release. kubectl attach command can attach to a running container at edge node. Users can execute these commands in the cloud and no need to operate on the edge nodes.

Refer to the link for more details. (#4734)

Alpha version of KubeEdge Dashboard

KubeEdge dashboard provides a graphical user interface (GUI) for managing and monitoring your KubeEdge clusters. It allows users to manage edge applications running in the cluster and troubleshoot them.

Refer to the link for more details. (https://github.com/kubeedge/dashboard)

Important Steps before Upgrading

  • On KubeEdge v1.14, EdgeCore has removed the dockeshim support, so users can only use remote type runtime, and uses containerd runtime by default. If you want to use docker runtime, you must first set edged.containerRuntime=remote and corresponding docker configuration like RemoteRuntimeEndpoint and RemoteImageEndpoint in EdgeCore, then install the cri-dockerd tools as docs below: https://github.com/kubeedge/kubeedge/issues/4843

· 3 min read

On Jan 18, 2023, KubeEdge released v1.13. The new version introduces several enhanced features, significantly improving performance, security, and edge device management.

v1.13 What's New

Performance Improvement

  • CloudCore memory usage is reduced by 40%, through unified generic Informer and reduce unnecessary cache. (#4375, #4377)

  • List-watch dynamicController processing optimization, each watcher has a separate channel and goroutine processing to improve processing efficiency (#4506)

  • Added list-watch synchronization mechanism between cloud and edge and add dynamicController watch gc mechanism (#4484)

  • Removed 10s hard delay when offline nodes turn online (#4490)

  • Added prometheus monitor server and a metric connected_nodes to cloudHub. This metric tallies the number of connected nodes each cloudhub instance (#3646)

  • Added pprof for visualization and analysis of profiling data (#3646)

  • CloudCore configuration is now automatically adjusted according to nodeLimit to adapt to the number of nodes of different scales (#4376)

Security Improvement

  • KubeEdge is proud to announce that we are digitally signing all release artifacts (including binary artifacts and container images). Signing artifacts provides end users a chance to verify the integrity of the downloaded resource. It allows to mitigate man-in-the-middle attacks directly on the client side and therefore ensures the trustfulness of the remote serving the artifacts. By doing this, we reached the SLSA security assessment level L3 (#4285)

  • Remove the token field in the edge node configuration file edgecore.yaml to eliminate the risk of edge information leakage (#4488)

Upgrade Kubernetes Dependency to v1.23.15

Upgrade the vendered kubernetes version to v1.23.15, users are now able to use the feature of new version on the cloud and on the edge side.

Refer to the link for more details. (#4509)

Modbus Mapper based on DMI

Modbus Device Mapper based on DMI is provided, which is used to access Modbus protocol devices and uses DMI to synchronize the management plane messages of devices with edgecore.

Refer to the link for more details. (mappers-go#79)

Support Rolling Upgrade for Edge Nodes from Cloud

Users now able to trigger rolling upgrade for edge nodes from cloud, and specify number of concurrent upgrade nodes with nodeupgradejob.spec.concurrency. The default Concurrency value is 1, which means upgrade edge nodes one by one.

Refer to the link for more details. (#4476)

Test Runner for conformance test

KubeEdge has provided the runner of the conformance test, which contains the scripts and related files of the conformance test.

Refer to the link for more details. (#4411)

EdgeMesh: Added configurable field TunnelLimitConfig to edge-tunnel module

The tunnel stream of the edge-tunnel module is used to manage the data stream state of the tunnel. Users can obtain a stable and configurable tunnel stream to ensure the reliability of user application traffic forwarding.

Users can configure the cache size of tunnel stream according to TunnelLimitConfig to support larger application relay traffic.

Refer to the link for more details. (#399)

Cancel the restrictions on the relay to ensure the stability of the user's streaming application or long link application.

Refer to the link for more details. (#400)

Important Steps before Upgrading

  • EdgeCore now uses containerd runtime by default on KubeEdge v1.13. If you want to use docker runtime, you must set edged.containerRuntime=docker and corresponding docker configuration like DockerEndpoint, RemoteRuntimeEndpoint and RemoteImageEndpoint in EdgeCore.

· 4 min read
Kevin Wang
Fei Xu

KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge. It is built upon Kubernetes and provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT and allows developers to author custom logic and enable resource constrained device communication at the Edge.

· 4 min read
Kevin Wang
Fei Xu

KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge. It is built upon Kubernetes and provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT and allows developers to author custom logic and enable resource constrained device communication at the Edge.

On October 31st, the KubeEdge community is proud to announce the availability of KubeEdge 1.8. This release includes a major upgrade for Active-Active HA Support of CloudCore for Large Scale Cluster, EdgeMesh Architecture Modification, EdgeMesh Cross LAN Communication, and Kubernetes Dependencies Upgrade, which includes:

  • Active-Active HA Support of CloudCore for Large Scale Cluster [Beta]

  • EdgeMesh Architecture Modification

  • EdgeMesh Cross LAN Communication

  • Onvif Device Mapper

  • Kubernetes Dependencies Upgrade

  • 30+ bug fixes and enhancements.

· 4 min read
Kevin Wang
Fei Xu

KubeEdge is an open source system extending native containerized application orchestration and device management to hosts at the Edge. It is built upon Kubernetes and provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT and allows developers to author custom logic and enable resource constrained device communication at the Edge.

On June 10th, the KubeEdge community is proud to announce the availability of KubeEdge 1.7. This release includes a major upgrade for Active-Active HA Support of CloudCore for Large Cluster and a new Device Mapper Framework, which includes:

  • Active-Active HA Support of CloudCore for Large Scale Cluster [Alpha]

  • Support to manage Clusters on Edge [Alpha]

  • Decoupled EdgeMesh from EdgeCore

  • Autonomic Kube-API Endpoint for Applications On Edge Nodes [Beta]

  • Custom HTTP Request Routing between Cloud and Edge for Applications [Alpha]

  • Kubernetes Dependencies Upgrade

  • 34+ bug fixes and enhancements.