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Virtualization Lab

Virtualization with QEMU/KVM & Proxmox

A practical virtualization lab covering VM creation, virtual networking, storage selection, snapshots/backups, console access, and post-deployment verification. The case study treats a VM as an operational asset rather than just a bootable disk image.

QEMUKVMPROXMOXVM LIFECYCLE
01

HOST & NETWORK DESIGN

The host is planned around CPU virtualization support, memory headroom, storage I/O, and bridge/network design. Management traffic is kept predictable and VM networks are documented before guests are created.

02

VM PROVISIONING

A VM profile records vCPU, memory, disk bus, firmware, network adapter, and installation source. The configuration is deliberately simple so performance problems can be isolated later.

03

COMMANDS & LIFECYCLE

QEMU/KVM hosts can be inspected with virsh while Proxmox uses tools such as qm. The examples below show safe inventory and lifecycle operations rather than destructive storage commands.

FIELD NOTE — Treat command output as evidence. Replace demo placeholders with captured output only when the environment was actually tested.
terminal / evidence
$ qm list
VMID NAME        STATUS     MEM(MB) BOOTDISK(GB)
101  lab-web      running    4096    32
102  lab-monitor  stopped    4096    32
$ qm config 101 | head -n 8
cores: 2
memory: 4096
net0: virtio=XX:XX:XX:XX:XX:XX,bridge=vmbr0
PROXMOX INVENTORY • ILLUSTRATIVE
terminal / evidence
$ virsh list --all
 Id   Name       State
 3    lab-db     running
 -    lab-test   shut off
$ virsh dominfo lab-db | grep -E 'CPU|Max memory|Used memory'
CPU(s): 2
Max memory: 4194304 KiB
Used memory: 4194304 KiB
QEMU/KVM INVENTORY • ILLUSTRATIVE
01baseline
02test cycles
03verification gates
04

VALIDATION & RECOVERY

After installation, guest networking, clock synchronization, disk performance, shutdown/reboot, snapshot behavior, and backup/restore procedures are tested. A recovery test proves that the backup is actually useful.

05

LESSONS LEARNED

Virtualization is mostly resource management and observability. CPU overcommit, memory pressure, storage latency, and bridge configuration can all produce symptoms that look like application problems.