Cloud Container Engine (CCE)
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Cloud Container Engine (CCE)
Containers take working with clouds to the next level: transport only the essential parts of applications and let the platform provide things such as the operating system and libraries.
The Cloud Container Engine (CCE) in the Open Telekom Cloud allows containers to be configured using virtual machines (ECS). Based on Kubernetes, CCE is compatible with Docker and offers the option of accessing the public resources of the Docker hub or the Software Repository for Containers service zuzugreifen. Das CCE verwaltet Cluster, Images, Templates und kompatible Anwendungen sowie den Betrieb dieser Anwendungen.
CCE allows you to create Managed Kubernetes in only a few clicks and just a few minutes. Manual installation, management and maintenance of Kubernetes are a thing of the past. Additionally, a visual console helps users who are unfamiliar with Kubernetes.
Users benefit from the fact that Cloud Container Engine uses open-source technology. The compatibility with Docker grants access to the public, to open-source image repositories from Docker Hub, and enables the portability of the Kubernetes environment.
CCE is designed for enterprise environments to meet the requirements of productive applications:
The Kubernetes cluster can be customised and extended with predefined add-ons or your own Helm charts.
The costs are based on the use of the cloud resources such as Elastic Cloud Server (ECS), etc. The smallest cluster without HA is free of charge for the CCE service self and can be used for smaller workloads.
Computing resources can be adjusted based on service requirements and preset strategies. The number of cloud servers or containers increases or decreases with service traffic changes, ensuring service stability.
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High availability and functionality of an application can be ensured with multiple master nodes distributed over different availability zones. Even if a master node fails, the application will not be affected.
Financial systems | Medical/health applications | Database applications
Running containers on high-performance GPU-accelerated cloud servers significantly improves AI computing performance, and GPU sharing among containers greatly reduces AI computing costs.
Training of machine learning applications | CEA applications | Scientific computing
The accounts have the permission to use CCE. However, IAM users created by the accounts do not have the permission. You need to manually assign the permission to IAM users
For details on how to create a regular Kubernetes cluster, see Creating a Hybrid Cluster.
For details, see Managing a Deployment.
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