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· 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.

· 3 min read

The KubeEdge community is thrilled to announce the release of KubeEdge v1.12! This release introduces several exciting new features and enhancements, including alpha implementation of the next-generation Cloud Native Device Management Interface (DMI), a new version of the lightweight Edged engine, high-availability mode for EdgeMesh, edge node upgrades from the cloud, authorization for the Edge Kube-API endpoint, and more.

What's New in KubeEdge v1.12

Alpha Implementation of Next-Gen Cloud Native Device Management Interface (DMI)

DMI makes KubeEdge's IoT device management more pluggable and modular in a cloud-native way, covering Device Lifecycle Management, Device Operation, and Device Data Management.

  • Device Lifecycle Management: Simplifies IoT device lifecycle management, making it as easy as managing a pod.

  • Device Operation: Provides the ability to operate devices through the Kubernetes API.

  • Device Data Management: Separates device data management from device management, allowing data to be consumed by local applications or synchronized to the cloud through a special tunnel.

Next-Gen Edged Graduates to GA: Suitable for More Scenarios

The new version of the lightweight Edged engine, optimized from Kubelet and integrated into EdgeCore, has graduated to General Availability (GA) in this release. The new Edged will continue to communicate with the cloud through a reliable transmission tunnel, making it suitable for a wider range of scenarios.

Introducing High-Availability Mode for EdgeMesh

KubeEdge v1.12 introduces a high-availability mode for EdgeMesh. Unlike the previous centralized relay mode, the EdgeMesh HA mode can set up multiple relay nodes. When some relay nodes fail, other relay nodes can continue to provide relay services, avoiding single points of failure and improving system stability.

Support Edge Node Upgrade from the Cloud

KubeEdge v1.12 introduces the NodeUpgradeJob v1alpha1 API to upgrade edge nodes from the cloud. With this API and its associated controller, users can upgrade selected edge nodes from the cloud and roll back to the original version if the upgrade fails.

Support Authorization for Edge Kube-API Endpoint

Authorization for the Edge Kube-API Endpoint is now available in KubeEdge v1.12. Third-party plugins and applications that depend on Kubernetes APIs on edge nodes must use a bearer token to communicate with the kube-apiserver via the HTTPS server in MetaServer.

New GigE Mapper

KubeEdge v1.12 includes a new GigE Device Mapper with a Golang implementation, which is used to access GigE Vision protocol cameras.

Important Steps Before Upgrading

  • If you want to upgrade KubeEdge to v1.12, the configuration file in EdgeCore has been upgraded to v1alpha2. You must modify your configuration file for Edged in EdgeCore to adapt to the new Edged.

  • If you want to use authorization for the Edge Kube-API Endpoint, please enable the RequireAuthorization feature through the feature gate in both CloudCore and EdgeCore. If the RequireAuthorization feature is enabled, MetaServer will only serve HTTPS requests.

  • If you want to upgrade EdgeMesh to v1.12, you do not need to deploy the existing EdgeMesh-server, but you need to configure relayNodes.

  • If you want to run EdgeMesh v1.12 on KubeEdge v1.12 and use HTTPS requests to communicate with KubeEdge, you must set kubeAPIConfig.metaServer.security.enable=true.

KubeEdge v1.12 brings exciting new features and improvements to the edge computing ecosystem. We invite you to explore the release and provide feedback to the community. Happy edge computing!

· 4 min read

On Jun 21, 2022 KubeEdge released v1.11, introducing several exciting new features and enhancements that significantly improve node group management, mapper development, installation experience, and overall stability.

v1.11 What's New

Release Highlights

Node Group Management

Users can now deploy applications to several node groups without writing deployment for every group. Node group management helps users to:

  • Manage nodes in groups

  • Spread apps among node groups

  • Run different versions of app instances in different node groups

  • Limit service endpoints in the same location as the client

Two new APIs have been introduced to implement Node Group Management:

  • NodeGroup API: represents a group of nodes that have the same labels.
  • EdgeApplication API: contains the template of the application organized by node groups, and the information on how to deploy different editions of the application to different node groups.

Refer to the links for more details (#3574, #3719).

Mapper SDK

Mapper-sdk is a basic framework written in Go. Based on this framework, developers can more easily implement a new mapper. Mapper-sdk has realized the connection to KubeEdge, provides data conversion, and manages the basic properties and status of devices, etc., as well as basic capabilities and abstract definition of the driver interface. Developers only need to implement the customized protocol driver interface of the corresponding device to realize the function of mapper.

Refer to the link for more details (#70).

Beta sub-commands in Keadm to GA

Some new sub-commands in Keadm have moved to GA, including containerized deployment, offline installation, etc. The original init and join behaviors have been replaced by the implementation from beta init and beta join:

  • CloudCore will be running in containers and managed by Kubernetes Deployment by default.

  • Keadm now downloads releases that are packed as container images to edge nodes for node setup.

  • init: CloudCore Helm Chart is integrated into init, which can be used to deploy containerized CloudCore.

  • join: Installing edgecore as a system service from a Docker image, no need to download from the GitHub release.

  • reset: Reset the node, clean up the resources installed on the node by init or join. It will automatically detect the type of node to clean up.

  • manifest generate: Generate all the manifests to deploy the cloud-side components.

Refer to the link for more details (#3900).

Deprecation of original init and join

The original init and join sub-commands have been deprecated as they had issues with offline installation, etc.

Refer to the link for more details (#3900).

Next-gen Edged to Beta: Suitable for more scenarios

The new version of the lightweight engine Edged, optimized from Kubelet and integrated into edgecore, has moved to Beta. The new Edged will still communicate with the cloud through the reliable transmission tunnel.

Refer to the link for more details (Dev-Branch for beta: feature-new-edged).

Important Steps before Upgrading

If you want to use Keadm to deploy KubeEdge v1.11.0, please note that the behaviors of the init and join sub-commands have been changed.

Other Notable Changes

  • Add custom image repo for keadm join beta (#3654)

  • Keadm: beta join support remote runtime (#3655)

  • Use sync mode to update pod status (#3658)

  • Make log level configurable for local up kubeedge (#3664)

  • Use dependency to pull images (#3671)

  • Move apis and client under kubeedge/cloud/pkg/ to kubeedge/pkg/ (#3683)

  • Add subresource field in application for API with subresource (#3693)

  • Add Keadm beta e2e (#3699)

  • Keadm beta config images: support remote runtime (#3700)

  • Use unified image management (#3720)

  • Use armhf as default for armv7/v6 (#3723)

  • Add ErrStatus in api-server application (#3742)

  • Support compile binaries with kubeedge/build-tools image (#3756)

  • Add min TLS version for stream server (#3764)

  • Adding security policy (#3778)

  • Chart: add cert domain config in helm chart (#3802)

  • Add domain support for certgen.sh (#3808)

  • Remove default KubeConfig for cloudcore (#3836)

  • Helm: Allow annotation of the cloudcore service (#3856)

  • Add rate limiter for edgehub (#3862)

  • Sync pod status immediately when status update (#3891)

· 4 min read

On Mar 7, 2022, KubeEdge released v1.10. The new version introduces several enhancements, significantly improving the installation experience, performance testing, network communication, and Kubernetes version compatibility.

v1.10 What's New

Release Highlights

Installation Experience Improvement with Keadm

Keadm adds some new sub-commands to improve the user experience, including containerized deployment, offline installation, etc. New sub-commands including: beta, config.

beta provides some sub-commands that are still in testing, but have complete functions and can be used in advance. Sub-commands including: beta init, beta manifest generate, beta join, beta reset.

  • beta init: CloudCore Helm Chart is integrated in beta init, which can be used to deploy containerized CloudCore.

  • beta join: Installing edgecore as system service from docker image, no need to download from github release.

  • beta reset: Reset the node, clean up the resources installed on the node by beta init or beta join. It will automatically detect the type of node to clean up.

  • beta manifest generate: Generate all the manifests to deploy the cloudside components.

config is used to configure kubeedge cluster, like cluster upgrade, API conversion, image preloading. Now the image preloading has supported, sub-commands including: config images list, config images pull.

  • config images list: List all images required for kubeedge installation.

  • config images pull: Pull all images required for kubeedge installation.

Refer to the links for more details. (#3517, #3540, #3554, #3534)

Preview version for Next-gen Edged: Suitable for more scenarios

A new version of the lightweight engine Edged, which is optimized from kubelet and integrated in edgecore, and occupies less resource. Users can customize lightweight optimization according to their needs.

Refer to the links for more details. (Dev-Branch for previewing: feature-new-edged)

Edgemark: Support large-scale KubeEdge cluster performance testing

Edgemark is a performance testing tool inherited from Kubemark. The primary use case of Edgemark is also scalability testing, it allows users to simulate edge clusters, which can be much bigger than the real ones.

Edgemark consists of two parts: real cloud part components and a set of "Hollow" Edge Nodes. In "Hollow" Edge Nodes, EdgeCore runs in container. The edged module runs with an injected mock CRI part that doesn't do anything. So the hollow edge node doesn't actually start any containers, and also doesn't mount any volumes.

Refer to the link for more details. (#3637)

EdgeMesh proxy tunnel supports quic

Users can choose edgemesh's proxy tunnel as quic protocol to transmit data. In edge scenarios, nodes are often in a weak network environment. Compared with the traditional tcp protocol, the quic protocol has better performance and QoS in the weak network environment.

Refer to the link for more details. (#281)

EdgeMesh supports proxy for udp applications

Some users' services use the udp protocol, and now edgemesh can also support the proxy of udp applications.

Refer to the link for more details. (#295)

EdgeMesh support SSH login between cloud-edge/edge-edge nodes

Edge nodes are generally distributed in the Private network environment, but it is often necessary to ssh login and operate the edge node. EdgeMesh provide a socks5proxy based on the tunnel inside EdgeMesh, which supports forwarding ssh requests from cloud/edge nodes to edge nodes.

Refer to the links for more details. (#258, #242)

Kubernetes Dependencies Upgrade

Upgrade the vendered kubernetes version to v1.22.6, users now can use the feature of new version on the cloud and on the edge side.

Refer to the link for more details. (#3624)

Important Steps before Upgrading

If you want to deploy the KubeEdge v1.10.0, please note that the Kubernetes dependency is 1.22.6.

Other Notable Changes

  • Remove dependency on os/exec and curl in favor of net/http (#3409, @mjlshen)

  • Optimize script when create stream cert (#3412, @gujun4990)

  • Cloudhub: prevent dropping volume messages (#3457, @moolen)

  • Modify the log view command after edgecore is running (#3456, @zc2638)

  • Optimize the iptables manager (#3461, @zhu733756)

  • Add script for build release (#3467, @gy95)

  • Using lateset codes to do keadm_e2e (#3469, @gy95)

  • Change the resourceType of msg issued by synccontroller (#3496, @Rachel-Shao)

  • Add a basic image for building various components of KubeEdge (#3513, @zc2638)

  • Supporting crossbuild all components (#3515, [@fisher

· 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.