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2 changes: 1 addition & 1 deletion docs/en/docs/amamba/intro/index.md
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Expand Up @@ -33,7 +33,7 @@ helps enterprises achieve digital transformation and improve IT delivery capabil

Supports "polyform" cloud native applications in cloud native scenarios, including Kubernetes native applications, Helm apps, and OAM applications.
Can integrate microservice applications based on SpingCloud, Dubbo, and ServiceMesh frameworks to achieve microservice governance. Seamlessly integrates with DCE 5.0's [Microservice Engine](../../skoala/intro/index.md) and [Service Mesh](../../mspider/intro/index.md).
Provides full lifecycle management for cloud native applications, such as scaling, logging, monitoring, and application updates.
Provides lifecycle management for cloud native applications, such as scaling, logging, monitoring, and application updates.

![Cloud native apps](https://docs.daocloud.io/daocloud-docs-images/docs/en/docs/amamba/images/what02.png)

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2 changes: 1 addition & 1 deletion docs/en/docs/blogs/2022/220808-kairship.md
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Expand Up @@ -77,7 +77,7 @@ The Multicloud Management will synchronize all the clusters that have been conne

**Deploy multicloud workloads**

The Multicloud Management module supports Kubernetes-native workload type deployment and management capabilities, including: creation, configuration, expansion, deletion, and other full lifecycle management. In addition, it supports override configuration of clusters, allowing users to easily handle the configuration management of different clusters.
The Multicloud Management module supports Kubernetes-native workload type deployment and management capabilities, including: creation, configuration, expansion, deletion, and other lifecycle management. In addition, it supports override configuration of clusters, allowing users to easily handle the configuration management of different clusters.

- **Instance Scheduling Policy**

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2 changes: 1 addition & 1 deletion docs/en/docs/blogs/2022/220925-amamba.md
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Expand Up @@ -9,7 +9,7 @@ Nowadays, with the rapid popularization of cloud native concepts, cloud native t
- Fully automatic application deployment, how to make the release of new features controllable, predictable, and reversible?

In the face of such challenges, DCE 5.0 is based on cloud native technologies such as Kubernetes. Workbench came into being, integrating DaoCloud DevOps practice and the cutting-edge research and development concepts of the cloud native community.
Establish a set of automated development, operation and maintenance integrated environment for enterprises from source code construction to continuous deployment of applications, and can cover the full lifecycle management of all forms of cloud native applications. Help enterprises shorten the R&D cycle and improve app delivery efficiency.
Establish a set of automated development, operation and maintenance integrated environment for enterprises from source code construction to continuous deployment of applications, and can cover the lifecycle management of all forms of cloud native applications. Help enterprises shorten the R&D cycle and improve app delivery efficiency.

## Graphical user interaction

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2 changes: 1 addition & 1 deletion docs/en/docs/blogs/2022/221008-dce-bg.md
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Expand Up @@ -108,7 +108,7 @@ He has a deep understanding of core open source technologies, and contributes to

## DCE Product Introduction

DCE adopts industry-leading container orchestration technology, and its product capabilities cover the development, delivery, operation and maintenance of cloud native applications, as well as the full lifecycle management of operations.
DCE adopts industry-leading container orchestration technology, and its product capabilities cover the development, delivery, operation and maintenance of cloud native applications, as well as the lifecycle management of operations.
It can help financial governments and enterprises realize agile delivery, elastic support and governance of distributed business applications, and improve enterprises' ability to support and manage distributed applications.
At the same time, the product has built an end-to-end cloud native overall solution of "Innovation architecture + cloud native platform" with domestic mainstream Xinchuang partners.
At present, it has provided container cloud solutions based on cloud native technology for hundreds of leading customers in key industries including finance, securities, industrial interconnection, Internet of Vehicles, intelligent manufacturing, and e-commerce.
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20 changes: 10 additions & 10 deletions docs/en/docs/blogs/2022/221026-kpanda.md
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Expand Up @@ -20,22 +20,22 @@ The main features of container management are as follows:

**node management**

- Supports full lifecycle management of nodes in the management cluster and the worker cluster created based on the management cluster.
- Supports lifecycle management of nodes in the management cluster and the worker cluster created based on the management cluster.
- Real-time monitoring of node status. Supports real-time monitoring of the status of nodes and pods running on nodes.
- Support logging in and managing nodes through the interface CloudShell.
- Provides basic cloud native capabilities for managing node scheduling policies, labels, stains, and annotations.

**Workload management**

- One-stop deployment, decoupling the underlying Kubernetes platform, one-stop deployment and operation and maintenance of business applications, and realizing the full lifecycle management of workloads.
- One-stop deployment, decoupling the underlying Kubernetes platform, one-stop deployment and operation and maintenance of business applications, and realizing the lifecycle management of workloads.
- Scaling and shrinking of workloads. Manual/automatic scaling of workloads can be realized through the interface, and custom scaling policies can be used to cope with traffic peaks.
- The full lifecycle of workloads supports full lifecycle management such as workload viewing, updating, deleting, rolling back, time viewing, and upgrading.
- The lifecycle of workloads supports lifecycle management such as workload viewing, updating, deleting, rolling back, time viewing, and upgrading.
- Unified management capability across cluster loads.

**Plugin Management**

- Built-in DaoCloud self-developed core plug-in library, supports the introduction of Helm official library and private plug-in registry, and provides users with a large number of plug-ins.
- Provides full lifecycle management capabilities for adding, deleting, modifying and querying plug-ins.
- Provides lifecycle management capabilities for adding, deleting, modifying and querying plug-ins.
- Record operations such as plug-in installation, update, and deletion, and display them in console logs that are easier for O&M personnel to understand, making plug-in O&M more cloud native.

**Internet access**
Expand Down Expand Up @@ -86,7 +86,7 @@ In terms of hierarchical structure, a three-level architecture is adopted. The t

- On the __Privilege Management__ interface, users can view and authorize the permissions of users/groups based on the two levels of cluster and namespace.

- On the __Cluster Details__ interface, users can view detailed cluster overview information and manage the full life cycle of resources in the cluster.
- On the __Cluster Details__ interface, users can view detailed cluster overview information and manage the lifecycle of resources in the cluster.
Features including node management, service and routing management, workload and pod management, namespace management, Helm plug-in management, storage management, operation and maintenance management can all be operated in the cluster details interface.

## Best Practice Exploration
Expand All @@ -107,18 +107,18 @@ The worker cluster only runs business-related loads. At the same time, the manag

**Deploy workload**

The container management module supports deployment and management capabilities based on Kubernetes-native workload types, including: creation, configuration, monitoring, expansion, upgrade, rollback, deletion, and other full lifecycle management.
The container management module supports deployment and management capabilities based on Kubernetes-native workload types, including: creation, configuration, monitoring, expansion, upgrade, rollback, deletion, and other lifecycle management.

- **Elastic Scaling**: Through the interface, the manual/automatic scaling capability of the workload can be realized, and the scaling policy can be customized to cope with traffic peaks.
- **Container life cycle settings**: Support setting callback function, parameters after startup, and parameters before stopping when creating workloads to meet the needs of specific cases.
- **Scaling**: Through the interface, the manual/automatic scaling capability of the workload can be realized, and the scaling policy can be customized to cope with traffic peaks.
- **Container lifecycle settings**: Support setting callback function, parameters after startup, and parameters before stopping when creating workloads to meet the needs of specific cases.
- **Container readiness check, liveness check settings**: support setting workload readiness check and liveness check when deploying workload:
- **Workload Readiness Check**: It is used to detect whether the user business is ready. If not, the traffic will not be forwarded to the current instance.
- **Workload Survival Check**: The user checks whether the container is normal. If there is an exception, the cluster will run the container restart operation
- **Environment variable settings for containers**: You can specify environment variables for business container operating environment settings.
- **Automatic scheduling of containers**: Support workload service scheduling management, automatically schedule containers according to host resource usage, specify specific deployment hosts, and schedule containers through label policies.
- **Affinity and anti-affinity**: Supports the definition of affinity and anti-affinity for scheduling between pods; and affinity and anti-affinity between pods and nodes to meet business customization Scheduling needs.
- **Container security user settings**: Support setting the container running user, if running with Root privileges, fill in Root user ID 0.
- **Custom Resource (CRD) Support**: Support the creation, configuration, deletion of custom resources and other full life cycle management and the ability to create instances (CR) based on custom resources.
- **Custom Resource (CRD) Support**: Support the creation, configuration, deletion of custom resources and other lifecycle management and the ability to create instances (CR) based on custom resources.

## Who Needs Container Management

Expand All @@ -136,7 +136,7 @@ Large-scale financial, banking, aerospace, and traditional manufacturing compani
### Use cases

1. Explore a multi-room, cross-regional container scheduling method to achieve unified management of clusters in different regions, reduce manpower and material resource consumption, and reduce costs.
2. Explore elastic scaling at the cluster level, support the creation of clusters, open up the boundaries between clusters, and explore the way of deploying workloads across clusters.
2. Explore scaling at the cluster level, support the creation of clusters, open up the boundaries between clusters, and explore the way of deploying workloads across clusters.
3. Explore the compatibility and unified management of different cluster types to form a unified management plane for resources.

## FAQ
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2 changes: 1 addition & 1 deletion docs/en/docs/blogs/2023/230201-forecast.md
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Expand Up @@ -168,7 +168,7 @@ Large conference in Amsterdam in April 2023, registration is open!
**DaoCloud Company Profile**

DaoCloud is an innovative leader in the field of cloud native. Founded at the end of 2014, it has core technologies with independent intellectual property rights and is committed to creating an open cloud operating system to empower digital transformation of enterprises.
Product capabilities cover the entire life cycle of cloud native application development, delivery, and operation and maintenance, and provide multiple delivery methods such as public cloud, private cloud, and hybrid cloud. Since its establishment, the company has been involved in financial technology, advanced manufacturing, smart cars,
Product capabilities cover the entire lifecycle of cloud native application development, delivery, and operation and maintenance, and provide multiple delivery methods such as public cloud, private cloud, and hybrid cloud. Since its establishment, the company has been involved in financial technology, advanced manufacturing, smart cars,
Retail outlets, urban brain and other fields have been deeply cultivated. Benchmark customers include Bank of Communications, Shanghai Pudong Development Bank, SAIC Motor, Dongfeng Motor, Haier Group, Watsons, and Golden Arches (McDonald's).
At present, the company has completed the D round of financing exceeding 100 million yuan, and is known as a quasi-unicorn enterprise in the technology field. The company has set up a number of branches and joint ventures in Beijing, Nanjing, Wuhan, Shenzhen and Chengdu.
The total number of employees exceeds 400. It is a high-tech enterprise in Shanghai, a "little giant of science and technology" in Shanghai, and a "specialized and special new" enterprise in Shanghai, and has been selected into the list of enterprises cultivated by the Science and Technology Innovation Board.
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2 changes: 1 addition & 1 deletion docs/en/docs/blogs/2023/230412-k8s-1.27.md
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Expand Up @@ -48,7 +48,7 @@ Similarly, the KubeletTracing feature of kubelet has been enabled by default, bu
Context logs can help users understand the context information of the logs, **make logs better for users to troubleshoot and understand, and improve the observability of logs.**
Currently, the migration of kube-controller-manager has been completed, and the migration of kube-scheduler will be completed in version 1.28.

### KEP-1287: Vertical Elastic Scaling of Pod Resources
### KEP-1287: Vertical Scaling of Pod Resources

**Kubernetes now supports in-place resizing of Pod resources**,
pod reconstruction is no longer necessary, which largely alleviates problems such as cold start of horizontal elasticity.
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2 changes: 1 addition & 1 deletion docs/en/docs/blogs/2023/230815-k8s1.28.md
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Expand Up @@ -273,7 +273,7 @@ DaoCloud's developers achieved significant milestones during the Kubernetes v1.2
- Yin Na became an Approver for SIG-scheduler.
- Xu Junjie became an Approver for the kubeadm project.
- Cai Wei became a Reviewer for the Containerd community and also organized and hosted KCD Beijing 2023.
At KCD Beijing, Zhang Shiming presented on the community hot topic project KWOK (Kubernetes WithOut Kubelet) with a focus on "Low-Cost Cluster Simulation". Jiang Xingyan, as a co-speaker, shared the theme of "Karmada Cross-Cluster Elastic Scaling Scenarios and Implementation Analysis" in another session.
At KCD Beijing, Zhang Shiming presented on the community hot topic project KWOK (Kubernetes WithOut Kubelet) with a focus on "Low-Cost Cluster Simulation". Jiang Xingyan, as a co-speaker, shared the theme of "Karmada Cross-Cluster Scaling Scenarios and Implementation Analysis" in another session.

## Kubecon 2023

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Expand Up @@ -107,7 +107,7 @@ hide:

---

A full life cycle management tool for containerized clusters.
A lifecycle management tool for containerized clusters.

[:octicons-arrow-right-24: Learn more](./kubean.md)

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2 changes: 1 addition & 1 deletion docs/en/docs/dce/bphome.md
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Expand Up @@ -117,7 +117,7 @@ and maintain containerized applications more efficiently and stably.
**Multicloud Management** achieves centralized management of multicloud and hybrid cloud.
**Virtual Machines** is a containerized virtual machine platform built on KubeVirt.

- [Cross-Cluster Elastic Scaling](../kairship/best-practice/fhpa.md)
- [Cross-Cluster Scaling](../kairship/best-practice/fhpa.md)
- [One-Click Conversion from DCE 4.0 to DCE 5.0 Multicloud Applications](../kairship/best-practice/one-click-conversion.md)
- [Import VMware Virtual Machines to DCE 5.0](../virtnest/best-practice/import-ubuntu.md)

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2 changes: 1 addition & 1 deletion docs/en/docs/dce/dce-rn/20230831.md
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Expand Up @@ -106,7 +106,7 @@ Below are some of the new features and optimizations included in the latest rele

### Multicloud Management v0.11.1

- **Added** support for cross-cluster elastic scaling.
- **Added** support for cross-cluster scaling.

### Container Management v0.21.0

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4 changes: 2 additions & 2 deletions docs/en/docs/dce/dce-rn/20231031.md
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Expand Up @@ -76,7 +76,7 @@ Here is a brief summary of some new features and improvements:

### Multicloud Management v0.13.1

- **Fixed** an issue where member clusters couldn't be deleted after enabling elastic scaling
- **Fixed** an issue where member clusters couldn't be deleted after enabling scaling
- **Fixed** the problem of not being able to view proper Pods when viewing multicloud services

### Container Registry v0.12.0
Expand Down Expand Up @@ -140,7 +140,7 @@ Here is a brief summary of some new features and improvements:
- **Added** __VM Agent__ now supports container runtime
- **Added** support for deleting virtual machine workload types
- **Added** customization of mesh namespace sidecar discovery scope
- **Added** elastic scaling configuration __auto_scaling__ for mesh gateways
- **Added** scaling configuration __auto_scaling__ for mesh gateways

### Middleware

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2 changes: 1 addition & 1 deletion docs/en/docs/dce/faq.md
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Expand Up @@ -53,7 +53,7 @@ This is an index page for FAQs and troubleshooting for DCE 5.0.
- [What is the logic for Kcoral application backup to detect Velero status in the working cluster](../kpanda/intro/faq.md#kcoral-logic-for-velero)
- [When backing up and restoring across clusters, how does Kcoral obtain available clusters](../kpanda/intro/faq.md#kcoral-get-cluster)
- [Kcoral backed up Pods and Deployments with the same label, but after restoring the backup, two Pods appear](../kpanda/intro/faq.md#2pod-with-same-label)
- [Why do the corresponding elastic scaling records still exist after uninstalling VPA, HPA, and CronHPA](../kpanda/intro/faq.md#autoscaling-log)
- [Why do the corresponding scaling records still exist after uninstalling VPA, HPA, and CronHPA](../kpanda/intro/faq.md#autoscaling-log)
- [Why does the console open abnormally in lower version clusters](../kpanda/intro/faq.md#console-error)
- Creating and Integrating Clusters:
- [How to reset a created cluster](#reset-cluster)
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4 changes: 2 additions & 2 deletions docs/en/docs/dce/features.md
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Expand Up @@ -19,7 +19,7 @@ DaoCloud Enterprise (DCE) 5.0 combines a large number of features, and the typic
- Cluster high avalability, the built-in cluster disaster recovery and backup abilities ensure that business systems
can recover from host failures, equipment room interruptions, and natural disasters, improving the stability of the
production environment and reducing the risk of business interruption.
- Full lifecycle management of clusters, realizing the full lifecycle management of self-build cloud native clusters.
- Full lifecycle management of clusters, realizing the lifecycle management of self-build cloud native clusters.
- OpenAPI capability, providing native Kubernetes openAPI ability.

=== "Cloud native application management"
Expand All @@ -30,7 +30,7 @@ DaoCloud Enterprise (DCE) 5.0 combines a large number of features, and the typic
service application to realize the lifecycle-management of application.
- Workload autoscaling. It can manually/automatically expand and reduce the application workload, and
customize the autoscaling policies to cope with the traffic peak.
- The full lifecycle of application, supporting lifecycle-management of application such as application view, update,
- The lifecycle of application, supporting lifecycle-management of application such as application view, update,
delete, rollback, time view, and upgrade.
- Unified workload management abbility of cross-cluster.

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2 changes: 1 addition & 1 deletion docs/en/docs/dce/scenario.md
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Expand Up @@ -109,7 +109,7 @@ The user application architecture relies on mainstream middleware capabilities,

Modules involved: [Container Management](../kpanda/intro/index.md), [Container Network](../network/intro/index.md), [Container Local Storage](../storage/index.md), [Cloud native middleware](../middleware/index.md), Cloud Edge Collabration, Dual-architecture Cloud

Solution advantages: cloud native local storage capabilities designed for stateful applications, unified platform management cloud native middleware, providing middleware management capabilities for the full lifecycle of multi-tenancy, deployment, observation, backup, operation and maintenance, combined with the container platform Ability to adapt to edge and innovation use cases.
Solution advantages: cloud native local storage capabilities designed for stateful applications, unified platform management cloud native middleware, providing middleware management capabilities for the lifecycle of multi-tenancy, deployment, observation, backup, operation and maintenance, combined with the container platform Ability to adapt to edge and innovation use cases.

=== "App Store"

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