12 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.

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

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 v1.3: A major upgrade for maintainability​

On May 15th, the KubeEdge community is proud to announce the availability of KubeEdge 1.3. This release includes a major upgrade for maintainability, which includes:

• Collecting logs from pods at edge in cloud

• Edge node and container monitoring

• High availability of KubeEdge cloud components

• Automated TLS bootstrapping for edge nodes

• CRI-O and Kata Containers runtime support

• 25+ bug fixes and enhancements.

Please refer to https://github.com/kubeedge/kubeedge/blob/master/CHANGELOG-1.3.md for a full list of features in this release

Release Highlights​

Collecting logs from pods at edge in cloud​

In most edge computing scenarios, the edge node is in a private network, and the pod logs running on the edge node cannot be directly pulled from the cloud, resulting issues for maintenance and debugging.

KubeEdge v1.3 includes a built-in streaming data channel which enables cloud to easily obtain edge application container logs via the kubectl logs command, without having to build another VPN server to solve private network access problems.

In addition, the KubeEdge community plans to provide a kubectl exec command support for edge containers in subsequent versions, so that users can easily connect to the edge application container from the cloud for debugging purposes.

See more feature details: https://docs.kubeedge.io/en/latest/setup/kubeedge_install_source.html

Edge node and container monitoring​

KubeEdge v1.3 provides a monitoring interface for edge nodes. Users can obtain edge node and its container information, and integrate it with third-party monitoring systems. This feature is enabled by default. Users have the option to disable this built-in monitoring module through the EnableMetrics item during configuration.

In the next version, KubeEdge will support the aggregation of edge node and application container monitoring information in the cloud.

See more feature details: https://github.com/kubeedge/kubeedge/pull/1573

High availability of KubeEdge cloud components​

In previous releases, the availability of KubeEdge cloud components rely on the automatic recovery mechanism of Kubernetes Deployment. In some extreme cases, this recovery can take a long time to recover from failures.

KubeEdge v1.3 has a built-in high-availability for the KubeEdge cloud component, CloudCore. When the CloudCore instance fails, a standby CloudCore instance is automatically switched on to minimize the impact of cloud component failures.

In subsequent versions, the KubeEdge community will further optimize the high concurrency of cloud components to improve throughput in large-scale edge nodes scenarios.

Automated TLS bootstrapping for edge nodes​

KubeEdge v1.3 introduced automated TLS bootstrapping for edge nodes, which simplifies the operation for users to configure cloud-edge secure channels and improves ease-of-use.

By default, KubeEdge generates a self-signed certificate for users, which is used for encrypted communication between cloud components and edge nodes. For scenarios that require an unified management of certificates, users can also use certificates issued by designated trust authorities.

For future releases, the KubeEdge community will support automatic renewal of the node's certificate after expiration.

See more feature details: https://github.com/kubeedge/kubeedge/blob/master/docs/setup/kubeedge_configure.md

More container runtime support​

KubeEdge v1.3 adds support of CRI-O and Kata Containers as container runtime.

• CRI-O, a CNCF incubation project, is a lightweight container, taking up to 30MB memory, and is in compliance with OCI standards.

• Kata Containers is an open source container runtime based on lightweight virtual machines. It is designed to combine the security advantages of virtual machines (VMs) with the speed and the manageability of containers.

With v1.3, KubeEdge has official support for all mainstream container runtimes including Docker, containerd, CRI-O and Kata Containers.

See more feature details: https://github.com/kubeedge/kubeedge/blob/master/docs/setup/kubeedge_cri_configure.md

25+ bug fixes and enhancements​

In addition to the above new features, KubeEdge v1.3 also includes the following enhancements:

• Added the support for keadm to install KubeEdge on CentOS systems

• EdgeMesh no longer depends on initContainer, and will take over traffic on the host during startup

• Fixed the issue that some pods in “the terminating state” cannot be deleted

Future Outlook​

With the release of v1.3, 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. Please refer to the roadmap document for future release plans:

https://github.com/kubeedge/kubeedge/blob/master/docs/getting-started/roadmap.md

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

https://kubeedge.io

We are very pleased to share that we received a very good response from community for KubeEdge contribution competition that started on 23rd April 2019. Participants were given challenge to either fix issues, raise issues, add code towards feature development, requirement identification, promote KubeEdge by writing blogs or create a sample application using KubeEdge. During this period 156 commits and 66 issues were added in the repository. We thank all the community members for making this event a grand success. We believe that community will continue contributions to KubeEdge with same enthusiasm in the future as well. Each and every contribution is of great worth and to honor top contributors KubeEdge team have selected below members as winners of this competition.

Hearty Congratulations to all the winners. We will reach out to the winners soon via email.