Demo Video ｜Clusterpedia - Complex Retrieval of Resources in a Multi-Cloud Environment

  3 minute read  

Iceber, the sponsor of Clusterpedia and a cloud native senior engineer of Daocloud, introduced the functions provided by Clusterpedia about resource retrieval in detail. This video step-by-step demonstrated what issues can be solved by using Clusterepdia.

Clusterpedia is an artifact for multi-cluster resource retrieval

With the increase of services you provide and the continuous expansion of the cluster scale, a single Kubernetes cluster may no longer meet the needs of many enterprises. As the cloud-native technologies develop, a multi-cloud era is coming. It is more complex and difficult to manage and retrieve resources in multiple clusters.

As a result, many excellent open source projects have emerged in the community, such as cluster api for cluster lifecycle management, karmada and clusternet for multi-cloud application management. Clusterpedia is built on these cloud management platforms to provide you with complex search for multi-cluster resources.

In a single cluster, we often use kubectl to view resources, directly access Kubernetes OpenAPI, or use client-go to retrieve resources in the code.

Now, in a multi-cluster environment, Clusterpedia provides compatibility with Kubernetes OpenAPI, so you can still perform complex retrieval or search for multi-cluster resources like a single cluster without pulling data from each cluster to the local for filtering.

In addition, the capabilities of Clusterpedia are not only for searching and viewing. It also supports simple control of resources in the future, just like wiki that also supports to edit entries. Clusterpedia provides the following features now:

  • Support for search with complex conditions, filters, sorting, and paging
  • Support for requesting attached resources when querying resources
  • Use a unified retrieval portal for master cluster and multi-cluster resources
  • Compatible with kubernetes OpenAPI, through which you can directly use kubectl for multi-cluster retrieval and need not any third-party plugins or tools
  • Compatible with collecting different versions of cluster resources and not constrained by the version of master cluster
  • High performance and low memory consumption in the process of resource collection
  • Automatically start and stop resource collection based on to the health status of clusters
  • Support for the pluggable storage layer that indicates you can use other storage components to customize the storage layer
  • High availability

What’s Next

In addition to supporting complex retrieval of multiple clusters, Clusterpedia can provide more benefits, such as a unified portal to the master cluster and multi-cluster resources through an aggregated API, low memory usage and weak network optimization when synchronizing sub-cluster resources in real time. It can also provide a pluggable storage layer to decouple the dependencies of storage components.

In the next topic, we will introduce the specific design and implementation principles, and explain more benefits offered by Clusterpedia, so stay tuned.