5 min readTraditional VM + GCP analytics

Use GCP as an analytics sidecar to a VCF workload

Inspect the VCF app and then read one GCP compute/storage landing point for analytics sidecars or exports.

Keep the VM and database in VCF, but use one GCP read to show how analytics or secondary processing could live elsewhere later.

Sign in as admin6 stepsready

current raw commands

Step 1/6
kubectl get vm -n lab-wm
01

Inspect source VMs

Read VCF and VKS baseline

ready
kubectl get vm -n lab-wm
02

Read sample records

Read VCF and VKS baseline

pending
03

Read GCP instances

Touch one cloud primitive

pending
04

Read GCP disks

Touch one cloud primitive

pending
05

Re-read source volume

Prove the workflow

pending
06

Read GCP activity

Prove the workflow

pending
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Use GCP as an analytics sidecar to a VCF workload workflow

Expand to see the phase-by-phase operator sequence for this tab.

3 phases
>
phase 01Read VCF and VKS baselinelive

Read the VCF/VKS side first so the cloud touchpoint has context and a bounded blast radius.

2 cmds
  1. 01
    Read the source VCF VM estate first.
  2. 02
    Show the current dataset that the analytics sidecar would consume.
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phase 02Touch one cloud primitivelive

Make one deliberately small cloud interaction that complements the VCF workload instead of replacing it.

2 cmds
  1. 01
    Inspect any GCP host that could be the analysis sidecar or export consumer.
  2. 02
    Read GCP disks as the one storage touchpoint in the cloud lane.
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phase 03Prove the workflowlive

Confirm the mixed workflow is observable end to end and leaves a clear operator narrative behind it.

2 cmds
  1. 01
    Return to the application database so the audience sees the source remains in VCF.
  2. 02
    End with a cloud activity view that stays small and explainable.
live terminalproof@lab

Use GCP as an analytics sidecar to a VCF workload terminal

Guided proof playback. Commands stream automatically from start to finish.

command lineidle
proof@lab$

history buffer

Run a command to capture the last five entries here. Each row stays compact until you expand it.