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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.

1. Node Selection :​

Users can easily select individual nodes from the cluster to view specific metrics. A dropdown menu lists all cluster nodes:

  • Example: My-cluster-01-control-19639042809

  • Example: My-cluster-01-node-19639045b49

  • Example: My-cluster-01-node-19639462f48

This facilitates focused monitoring and troubleshooting for each node in isolation.

2. Time Range Filters :​

The monitoring dashboard supports multiple time-range filters to analyze short-term spikes or long-term trends:

  • 1 Hour

  • 6 Hours

  • 12 Hours

  • 24 Hours

The refresh button allows for real-time data synchronization.

3. CPU Usage :​

A dedicated panel displays CPU utilization (%) with time-based granularity. This helps in identifying performance bottlenecks or unexpected spikes in compute load.

  • Metric: CPU usage in percentage

  • Graph View: Line chart with real-time updates

  • Insights: Track CPU-intensive operations and scale accordingly.

4. Memory Usage :​

This section visualizes how much memory is allocated versus how much is actively used.

  • Red: Memory Used

  • Blue: Memory Allocated

  • Units: Display in MB (customizable)

  • Utility: Prevent memory overprovisioning or leaks

Options like Raw Data, Used, and other unit toggles enhance the analytical capabilities.

5. Disk IOPS :​

Displays the Input/Output Operations Per Second (IOPS), a key metric for understanding disk performance.

  • Metric: IOPS over time

  • Visualization: Spikes and dips indicating load patterns

  • Usage: Optimize volume allocation and disk-intensive workloads.

6. Disk Read & Write :​

Breakdown of Read and Write activity measured in KiB:

  • Blue Line: Disk Read operations

  • Green Line: Disk Write operations

  • Insight: Identify heavy write workloads and balance storage strategies

This section supports unit toggling for greater precision in data representation.

7. Network Traffic :​

Monitors Download and Upload data throughput for each node.

  • Blue Line: Download activity

  • Green Line: Upload activity

  • Units: KiB

  • Benefit: Ensure balanced bandwidth usage and detect anomalies.