30 篇博文 含有标签「kubernetes edge computing」

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​

• Installation Experience Improvement with Keadm
• Preview version for Next-gen Edged: Suitable for more scenarios
• Edgemark: Support large-scale KubeEdge cluster performance testing
• EdgeMesh proxy tunnel supports quic
• EdgeMesh supports proxy for udp applications
• EdgeMesh support SSH login between cloud-edge/edge-edge nodes
• Kubernetes Dependencies Upgrade

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

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 December 6th, the KubeEdge community is proud to announce the availability of KubeEdge 1.9. This release includes a major upgrade for Custom HTTP Request Routing from Edge to Cloud through ServiceBus for Applications, CloudCore run independently of the Kubernetes Master host and containerized deployment using Helm, EdgeMesh add tls and encryption security, and compiled into rpm package, which includes:

• Custom HTTP Request Routing from Edge to Cloud through ServiceBus for Applications

• CloudCore run independently of the Kubernetes Master host

• EdgeMesh add tls and encryption security

• Enhance the ease of use of EdgeMesh

• Support containerized deployment of CloudCore using Helm

• Support compiled into rpm package and installed on OS such as openEuler using yum package manager

• 40+ bug fixes and enhancements.

Please refer to CHANGELOG v1.9 for a full list of features in this release

Release Highlights​

Support Custom HTTP Request Routing from Edge to Cloud through ServiceBus for Applications​

A HTTP server is added to ServiceBus, to support custom http request routing from edge to cloud for applications. This simplifies the rest api access with http server on the cloud while client is in the edge.

Refer to the links for more details. (#3254, #3301)

Support CloudCore to run independently of the Kubernetes Master host​

CloudCore now supports to run independently of the Kubernetes Master host, iptablesmanager has been added as an independent component, users only need to deploy the iptablesmanager to Kubernetes Master host, which now can add the iptable rules for Cloud-Edge tunnel automatically

Refer to the links for more details. (#3265)

EdgeMesh add tls and encryption security​

EdgeMesh's tunnel module adds tls and encryption security capabilities. These features bring more secure protection measures to the user's edgemesh-server component and reduce the risk of edgemesh-server being attacked.

Refer to the links for more details. (EdgeMesh#127)

Enhanced the ease of use of EdgeMesh​

EdgeMesh has many improvements in ease of use. Now users can easily deploy EdgeMesh's server and agent components with a single command of helm. At the same time, the restriction on service port naming is removed, and the docker0 dependency is removed, making it easier for users to use EdgeMesh.

Refer to the links for more details. (EdgeMesh#123, EdgeMesh#126, EdgeMesh#136, EdgeMesh#175)

Support containerized deployment of CloudCore using Helm​

CloudCore now supports containerized deployment using Helm, which provides better containerized deployment experience.

Refer to the links for more details. (#3265)

Support compiled into rpm package and installed on OS such as openEuler using yum package manager​

KubeEdge now supports compiled into rpm package and installed on OS such as openEuler using yum package manager.

Refer to the links for more details. (#3089, #3171)

In addition to the above new features, KubeEdge v1.9 also includes the following enhancements:

• Rpminstaller: add support for openEuler (#3089)

• Replaced 'kubeedge/pause' with multi arch image (#3114)

• Make meta server addr configurable (#3119)

• Added iptables to Dockerfile and made cloudcore privileged (#3129)

• Added CustomInterfaceEnabled and CustomInterfaceName for edgecore (#3130)

• Add experimental feature (#3131)

• Feat(edge): node ephemeral storage info (#3157)

• Support envFrom configmap in edge pods (#3176)

• Update golang to 1.16 (#3190)

• Metaserver: support shutdown server graceful (#3239)

• Support labelselector for metaserver (#3262)

Future Outlook​

With the release of v1.9, KubeEdge supports custom HTTP request routing from Edge to Cloud through ServiceBus for applications, supports CloudCore running independently of the Kubernetes Master host, supports containerized deployment of CloudCore using Helm, supports tls and encryption security and the ease of use of EdgeMesh. Thanks to Huawei, China Unicom, DaoCloud, Zhejiang University SEL Lab, ARM and other organizations for their contributions, as well as all community contributors for their support!

The community plans to further improve the user experience and the stability of KubeEdge in subsequent versions and create the best “open source” intelligent edge computing platform for everyone to freely use.

For more details regarding KubeEdge, please follow and join us here:

https://kubeedge.io

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.

Please refer to CHANGELOG v1.8 for a full list of features in this release

Release Highlights​

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

CloudCore now supports Active-Active HA mode deployment, which provides better scalability support for large scale clusters. Cloud-Edge tunnel can also work with multiple CloudCore instances. CloudCore now can add the iptable rules for Cloud-Edge tunnel automatically.

Refer to the links for more details. (#1560, #2999)

EdgeMesh Architecture Modification​

EdgeMesh now has two parts: edgemesh-server and edgemesh-agent. The edgemesh-server requires a public IP address, when users use cross lan communication, it can act as a relay server in the LibP2P mode or assist the agent to establish p2p hole punching. The edgemesh-agent is used to proxy all application traffic of user nodes, acts as an agent for communication between pods at different locations.

Refer to the links for more details. (edgemesh#19)

EdgeMesh Cross LAN Communication​

Users can use cross LAN communication feature to implement cross LAN edge to edge application communication and cross LAN edge to cloud application communication.

Refer to the links for more details. (edgemesh#26, edgemesh#37, edgemesh#57)

Onvif Device Mapper​

Onvif Device Mapper with Golang implementation is provided, based on new Device Mapper Standard. Users now can use onvif device mapper to manage the ONVIF IP camera.

Refer to the links for more details. (mappers-go#48)

Kubernetes Dependencies Upgrade​

Upgrade the vendered kubernetes version to v1.21.4, users now can use the feature of new version on the cloud and on the edge side.

Refer to the links for more details. (#3021, #3034)

In addition to the above new features, KubeEdge v1.8 also includes the following enhancements:

• Refactor edgesite: import functions and structs instead of copying code (#2893)

• Avoiding update cm after created a new cm (#2913)

• Solved the checksum file download problem when ke was installed offline (#2909)

• cloudcore support configmap dynamic update when the env of container inject from configmap or secret (#2931)

• Remove edgemesh from edgecore (#2916)

• keadm: support customsized labels when use join command (#2827)

• support k8s v1.21.X (#3021)

• Handling node/*/membership/detail (#3025)

• sync the response message unconditionally (#3014)

• support default NVIDIA SMI command (#2680)

Future Outlook​

With the release of v1.8, KubeEdge supports Active-Active HA mode deployment, which provides better scalability support for large scale clusters, supports cross LAN communication by EdgeMesh, and supports Onvif Device Mapper. Thanks to Huawei, China Unicom, DaoCloud, Zhejiang University SEL Lab, ARM and other organizations for their contributions, as well as all community contributors for their support!

The community plans to further improve the user experience and the stability of KubeEdge in subsequent versions and create the best “open source” intelligent edge computing platform for everyone to freely use.

For more details regarding KubeEdge, please follow and join us here:

https://kubeedge.io

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.

Please refer to CHANGELOG v1.7 for a full list of features in this release

Release Highlights​

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

CloudCore now supports Active-Active HA mode deployment, which provides better scalability support for large scale clusters. Cloud-Edge tunnel can also work with multiple CloudCore instances.

Refer to the links for more details. (#1560, #2867)

Support to manage Clusters on Edge [Alpha]​

In some scenarios, uses may have full-size Kubernetes clusters deployed on the edge. With EdgeSite, users are now able to access clusters on edge (in private network, behind NATed gateway, etc) from center cloud. (#2650, #2858)

Decoupled EdgeMesh from EdgeCore​

EdgeMesh aims to provide simplified network and services for edge applications. The EdgeMesh module is now decoupled from EdgeCore and able to be deployed as an independent components in containers.

Refer to EdgeMesh for more details

Mapper Framework​

Users are now able to use mapper framework to generate a new device mapper. This simplifies the mapper development when users trying to integrate with new protocols or new devices. (mappers-go#41)

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

Autonomic Kube-API Endpoint provides native Kubernetes API access on edge nodes. It's very useful in cases users want to run third-party plugins and applications that depends on Kubernetes APIs on edge nodes. With reliable message delivery and data autonomy provided by KubeEdge, list-watch connections on edge nodes keep available even when nodes are located in high latency network or frequently get disconnected to the Cloud.

In this release, a bunch of corner case issues are fixed and the stability is improved. And the feature maturity is now Beta.

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

A new RuleEndpointType servicebus is added to RuleEndpoint API, to support custom http request routing between cloud and edge for applications. This simplifies the rest api access with http server on the edge while client is in the cloud. (#2588)

28+ bug fixes and enhancements​

In addition to the above new features, KubeEdge v1.7 also includes the following enhancements:

• Implement update rule status

• Install crd for router in keadm

• Remove synckeeper in edgehub

• upstream: refactor kubeClientGet

• make customsiz labels available when restart

Future Outlook​

With the release of v1.7, KubeEdge supports Active-Active HA mode deployment, which provides better scalability support for large scale clusters. Thanks to Huawei, China Unicom, Zhejiang University SEL Lab, ARM and other organizations for their contributions, as well as all community contributors for their support!

The community plans to further improve the user experience and the stability of KubeEdge in subsequent versions and create the best “open source” intelligent edge computing platform for everyone to freely use.

For more details regarding KubeEdge, please follow and join us here:

https://kubeedge.io

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.

KubeEdge v1.6: A major upgrade for maintainability​

On 27th February, the KubeEdge community is proud to announce the availability of KubeEdge 1.6. This release includes a major upgrade for maintainability, which includes:

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

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

• Simplified Application Autonomy Configuration When Node Is Off-line

• New home for Device Mappers code

• OPC-UA Device Mapper

• 24+ bug fixes and enhancements.

Please refer to CHANGELOG v1.6 for a full list of features in this release.

Release Highlights​

Support Autonomic Kube-API Endpoint for Applications On Edge Nodes [Alpha]​

Autonomic Kube-API Endpoint is now available on edge nodes! Users are now able to run third-party plugins and applications that depends on Kubernetes APIs on edge nodes. List-watch connections are established between client and the local endpoint provided by EdgeCore. With reliable message delivery and data autonomy provided by KubeEdge, list-watch connections on edge nodes keep available even when nodes are located in high latency network or frequently get disconnected to the Cloud.

This is very useful in cases that users want to install customized versions of Kubelet, Kube-Proxy, CNI and CSI plugins with KubeEdge. Particularly, Kubernetes CRDs are also supported on edge nodes. (#2508, #2587)

Custom Message Routing between Cloud and Edge for Applications [Alpha]​

Added support of routing management with Rule, RuleEndpoint API and a router module. Users are now able to use KubeEdge to deliver their custom messages between cloud and edge.

Note that it's designed for control data exchange between cloud and edge, not suitable for large data delivery. The data size of delivery at one time is limited to 12MB.

Refer to custom message deliver for more details. (#2413)

Simplified Application Autonomy Configuration When Node Is Off-line​

If user wants any application to stay on edge nodes when disconnected to the cloud, simply add label app-offline.kubeedge.io=autonomy to its pods. KubeEdge will automatically override pod default toleration configuration for Taint node.kubernetes.io/unreachable to avoid Kubernetes evicting pods from unreachable nodes. (#2499)

New home for Device Mappers code​

Device Mappers implementations now have a new home kubeedge/mappers-go.

OPC-UA Device Mapper​

OPC-UA Device Mapper with Golang implementation is provided, based on new Device Mapper Standard. (mappers-go#4).

24+ bug fixes and enhancements​

In addition to the above new features, KubeEdge v1.6 also includes the following enhancements:

• support kubectl get --raw /api/v1/nodes/{node}/proxy/metrics (#2437)

• support more metric path in cloud (#2482)

• edgecore: add nfs localpath support (#2529)

• add func that make subscribed topics persistence (#2457)

Future Outlook​

With the release of v1.6, KubeEdge provides autonomic Kube-API endpoint for applications On Edge nodes, custom message routing between Cloud and Edge, a new repository for Device Mappers, a more friendly user experience, and a more friendly community contributor experience. Thanks to Huawei, China Unicom, Zhejiang University SEL Lab, ARM and other organizations for their contributions, as well as all community contributors for their support!

The community plans to further improve the user experience and the stability of KubeEdge in subsequent versions and create the best “open source” intelligent edge computing platform for everyone to freely use.

For more details regarding KubeEdge, please follow and join us here:

https://kubeedge.io