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Machine

As explained in Google Anthos in Action

A machine is a GDCE resource representing a physical server assigned to a region according to the location of the GDCE system.

A machine is a GDCE resource representing a physical server assigned to a region according to the GDCE system’s location. In a GDCE Kubernetes cluster, each worker node uses one full physical server on Google-managed racks. section 8.3.1 section 8.3.1

Machine placement connects the resource to several operational responsibilities:

  • Supports containerized workloads and virtual machines through Anthos on bare metal. section 8.3.1
  • Belongs to a rack or group of racks at public cloud edge, telco edge, or enterprise edge locations. section 8.3.1
  • Remains part of Google-managed infrastructure, while a customer contact handles local tasks such as cold restarts, parts replacement, and diagnostics. section 8.3.1
Figure 8.3 Google Distributed Cloud Edge high-level architecture
08-03

Use the high-level architecture to relate machines and worker nodes to GDCE racks, the hosted control plane, and connected customer environments. section 8.3.1

How Google Anthos in Action covers it

How deep it goes
Explains machines through physical servers, racks, regions, workload support, and operational ownership.
Examples
Uses full-server worker nodes in public cloud edge, telco edge, and enterprise edge locations as concrete deployment examples.
What you can do after
Operate/configure local machine administration through cold restarts, parts replacement, diagnostics, and standard Google API access.
How it connects
Connects machines to GDCE, regions, worker nodes, node pools, racks, Anthos on bare metal, and the control plane.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Google Anthos in Action. The section links point to the parts of the book it draws on.