📄️ Cluster Summary
Overview
📄️ Kubernetes Cluster Scaling
The Cloud Management Portal offers a user-friendly and efficient interface that enables you to resize your Kubernetes cluster in response to fluctuating workload requirements. Whether your applications experience a sudden spike in traffic or require additional computing resources for scheduled batch jobs, the portal provides intuitive controls to increase or decrease the number of worker nodes as needed. This ensures your cluster remains agile, cost-efficient, and performance-optimized at all times, without requiring complex manual configurations or downtime.
📄️ Kubernetes Dashboard
The Kubernetes Dashboard is a web-based user interface for managing and monitoring Kubernetes clusters. It provides an overview of cluster resources, allows users to deploy and troubleshoot applications, manage workloads, and view logs and performance metrics. The dashboard simplifies cluster administration by offering a visual representation of deployments, pods, and other Kubernetes objects.
📄️ Kubernetes Resources
The Kubernetes Resources section in the Cloud Management Portal provides a detailed overview and management interface for node pools, individual nodes, and persistent storage volumes associated with a Kubernetes cluster.
📄️ Networking
Kubernetes Cluster – Networking
📄️ Monitoring
The Monitoring section in the Cloud Management Portal offers real-time visibility into the health and performance of your Kubernetes cluster. It provides granular, node-level metrics across multiple dimensions including CPU usage, memory consumption, disk operations, and network activity—empowering DevOps teams to make data-driven decisions and maintain optimal resource utilization.
📄️ Notes
The Notes section of the Cloud Management Portal is a lightweight, yet powerful feature that allows users to attach custom annotations to their Kubernetes clusters. This is particularly useful for operational handoffs, audit trails, tracking configuration changes, or simply sharing insights within a DevOps team.