Instance Monitoring

Instance monitoring helps you to monitor how your instances are performing throughout different time intervals. All instance-related usage data including compute, memory, disk, and network information becomes available all in one place.

This provides clear insights that help you maintain better control, both for resource bottleneck troubleshooting and healthy workload tracking.

Accessing the Monitoring Dashboard

Guideflow

1. Go to Compute > Instances in the Qumulus dashboard.

2. Select the desired instance from the list.

3. Navigate to the Monitor tab in the instance detail view.

The monitoring dashboard is available for all running instances.

What You Can Monitor

You will find multiple interactive charts that show system resource information within the Monitor tab.

CPU Utilization

Get a live view of the processing power consumption of your instance to remain informed. This chart shows the utilization of CPU as a percentage-based view across different time intervals. If you see a sudden spike, it helps to investigate both application operation and background tasks.

Network Traffic

You can view and analyze how your instance communicates with the external world and other services:

1. Bytes In / Out: Here, you can view the amount of data flowing in and out of the instance.

Network In (Bytes)

Network Out (Bytes)

This shows how much data the instance has received throughout time.

Displays how much data flows out from your instance.

1. Packets In / Out: Helps detect unusual network traffic behavior, which could signal packet storms or DDoS-like patterns.

Network Packets In

Network Packets Out

This shows the number of incoming packets.

This shows the number of outgoing packets.

Disk Activity

You get two separate charts here, one for disk reads and another for writes:

Disk Read (KB)

Disk Write (KB)

Allows you to identify heavy-data workloads, like querying large databases.

It helps to spot excessive logging, backups, or file dumps.

RAM Usage

Check the memory usage data for your instance over time. This helps to discover memory leak issues and determine the proper scaling requirements. You see spikes in the chart without any drops, which indicates that your application may fail to release allocated memory properly.

Time Range Selection

You can choose the period you want to monitor:

• Preset ranges: 1h, 3h, 12h, 24h, 3d, 7d

• Custom range: Select the specific time and date from the calendar, you want to check.

You have learned now how to track your instances in real-time, and with performance analysis of CPU, memory, disk, and networking has led you toward operational transparency. Let’s move on to Instance Actions