24 篇博文 含有标签「cloud native」

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

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 v1.5: A major upgrade for maintainability and edge devices management​

On 16th November, the KubeEdge community is proud to announce the availability of KubeEdge 1.5. This release includes a major upgrade for maintainability and edge devices management, which includes:

• Simplified Device Mapper reference architecture

• Modbus Mapper Golang Implementation

• Support Remote Exec to Pods on Edge From Cloud

• Support Keadm Debug Command for Trouble Shooting On Edge Nodes

• Kubernetes Dependencies Upgrade

• 23+ bug fixes and enhancements.

Please refer to https://github.com/kubeedge/kubeedge/blob/master/CHANGELOG/CHANGELOG-1.5.md for a full list of features in this release

Release Highlights​

Simplified Device Mapper reference architecture​

New version of Mapper reference architecture:

• Simplified Mapper code structure
• Extracted common code into SDK
• Added new building blocks: Configmap parser, Driver, Event process, Timer

Users are now able to develop mappers based on the new design standard.(#2147).

Modbus Mapper Golang Implementation​

A new modbus mapper with Golang implementation is provided, based on new Device Mapper Standard. (#2282).

Support Remote Exec to Pods on Edge From Cloud​

Users are now able to use K8s exec api or kubectl exec command to connect to pods on the edge node. (#2075).

Support Keadm Debug Command for Trouble Shooting On Edge Nodes​

A set of keadm debug subcommands are added for Trouble Shooting On Edge Nodes. Users are now able to use keadm debug get and keadm debug collect to get/collect KubeEdge local data for trouble shooting, and use keadm debug check and keadm debug diagnose to check local environment configuration. (#1939)

Kubernetes Dependencies Upgrade​

Upgrade the vendered kubernetes version to v1.19.3, users now can use the feature of new version on the cloud and on the edge side. (#2223)

Future Outlook​

With the release of v1.5, KubeEdge provides more complete device mapper, support for remote exec from Cloud to Pods on Edge, 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

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 v1.4: A major upgrade for maintainability and edge devices management​

On August 15th, the KubeEdge community is proud to announce the availability of KubeEdge 1.4. This release includes a major upgrade for maintainability and edge devices management, which includes:

• Enhance Devices Management

• Metrics-Server Support for metrics collection across cloud and edge

• EdgeNode Certificate Rotation

• Kubernetes Dependencies Upgrade

• 34+ bug fixes and enhancements.

Please refer to https://github.com/kubeedge/kubeedge/blob/master/CHANGELOG/CHANGELOG-1.4.md for a full list of features in this release

Release Highlights​

Enhance Devices Management​

Upgrade device API from v1alpha1 to v1alpha2, enhancement include:

• A new field is added to explicitly provide customized protocol support
• Introduced data section to allow users defining data to get and process on the edge
• Moved propertyVistors from device model to Device instance API

Users are now able to customize the protocol of the edge device and also able to get and process the date in edge side.

Metrics-Server Support for metrics collection across cloud and edge​

With KubeEdge v1.4 users are now able to deploy metrics-server to collect resource metrics from edge nodes. Follow the instructions here to deploy the metrics-server.

Ref: https://github.com/kubeedge/kubeedge/blob/master/docs/setup/keadm.md#support-metrics-server-in-cloud

EdgeNode Certificate Rotation​

EdgeNodes are now able to automatically apply for new certificate when the certificate is about to expire and enforce TLS between CloudCore and EdgeCore.

Kubernetes Dependencies Upgrade​

Upgrade the venderod kubernetes version to v1.18.6, users now can use the feature of new version on the cloud and on the edge side.

34+ bug fixes and enhancements​

In addition to the above new features, KubeEdge v1.4 also includes the following enhancements:

• Add tree to store copy of dependency's license

• Add garbage collection of reliablesyncs when node unregisters

• Fix too long time to get node ready when reconnect

• Auto detect sandbox image

• Run edgecore as system service

Future Outlook​

With the release of v1.4, KubeEdge provides more complete edge application monitoring and management capabilities, a more stable and reliable cloud-side collaborative transmission mechanism, 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