Kubernetes in D4Science provides a powerful orchestration platform for managing containerized applications. It automates the deployment, scaling, and management of applications across clusters of machines.
Kubernetes offers features like automated rollouts and rollbacks, service discovery, and horizontal scaling. It supports a wide range of workloads, from microservices to batch processing. D4Science's shared cloud storage ensures all container data is accessible and manageable across services.
Automated scaling: Kubernetes can automatically adjust the number of running containers based on demand, ensuring optimal resource utilisation. This feature is crucial for maintaining the performance and availability of applications under varying loads while lowering operational costs of the VRE.
Self-healing capabilities: D4Science Kubernetes can automatically restart failed containers, replace or reschedule containers when nodes die, and kill containers that do not respond to health checks. This feature enhances the reliability and resilience of applications.
Service discovery and load balancing: D4Science Kubernetes can expose containers using DNS names or IP addresses and distribute network traffic across multiple containers. This feature ensures that applications are accessible and responsive.
Storage Orchestration: D4Science Kubernetes automatically mounts storage systems of the VRE, such as local dataspace storage but public cloud providers, or network storage systems ca be configured as well. This feature ensures that applications have access to the necessary storage resources.
In D4Science, Kubernetes operates by managing a cluster of nodes that run containerized applications. Users can define the desired state of their applications, and Kubernetes ensures that this state is maintained automatically. The system provides automated scaling, self-healing, service discovery, and load balancing to ensure the optimal performance and availability of applications. Kubernetes also manages storage resources, allowing users to mount storage systems as needed to extend the VRE storage automatically mounted. This structured approach ensures that containerized applications are deployed, scaled, and managed efficiently within the D4Science ecosystem.