Overview
Kubernetes, also known as K8s, is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. The Cloud Management Portal provides a powerful and user-friendly interface to manage Kubernetes clusters, allowing users to deploy, monitor, and maintain containerized workloads efficiently.
What is Kubernetes?
Kubernetes is designed to simplify the complexities of managing large-scale containerized environments. It abstracts the underlying infrastructure and provides a consistent platform to run applications across different environments—whether on-premise or in the cloud.
Key benefits include:
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Automated Deployment
Automatically roll out application updates and roll back changes with zero downtime. -
Self-Healing
Kubernetes monitors the health of containers and restarts or replaces them when failures occur. -
Horizontal Scaling
Scale applications up or down based on demand using simple commands or auto-scaling policies. -
Service Discovery & Load Balancing
Automatically exposes containers using DNS and balances network traffic across them. -
Secret & Configuration Management
Manage sensitive data and application configuration without rebuilding your container images.
Kubernetes in the Cloud Management Portal
The Cloud Management Portal offers full lifecycle support for Kubernetes clusters, simplifying cluster operations for both development and production environments.
Key Features
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Cluster Creation
Create and configure Kubernetes clusters using predefined templates or advanced setup options. -
Node Management
Add or remove worker nodes to meet scaling requirements. Monitor node health and resource usage. -
Namespace & Resource Control
Organize workloads using Kubernetes namespaces and apply resource quotas for better governance. -
Dashboard Integration
Access Kubernetes Dashboard and CLI tools directly from the portal for in-depth control and visibility. -
Storage & Volume Support
Attach persistent volumes and manage dynamic storage provisioning for stateful workloads.