Kubernetes Engine

As explained in Google Anthos in Action

Google Kubernetes Engine is Google Cloud's managed Kubernetes service for running containerized workloads.

Google Kubernetes Engine (GKE) is Google Cloud’s managed Kubernetes service for running containerized workloads. Its native cloud offering automates cluster installation: administrators provide node sizes, node counts, zones, and regions, then deploy applications to a ready cluster. section 3.1.3 section 16.2

GKE supports several operational patterns:

• Provision clusters quickly through cloud-provider automation rather than installing Kubernetes manually. section 3.1.3
• Use Anthos to maintain a common Kubernetes environment across Google Cloud, on-premises systems, AWS, and Azure. section 3.1.3 section 16.2
• Inspect cluster locations, types, labels, warnings, Kubernetes versions, available CPU and memory, and enabled features from a centralized cluster view. section 2.4.4
• Combine the runtime with centralized configuration, service-mesh security and observability, logging, monitoring, auditing, and troubleshooting. section 16.2

Deploying Elasticsearch through Marketplace

Select an Elasticsearch solution, choose the GKE cluster and namespace, and retain the demonstrated defaults: the us-central-1 region, instance name elasticsearch-1, and two replicas. Marketplace creates the cluster, deploys the application components, and exposes the resulting solution for management and CPU, memory, and disk monitoring through Anthos. section 14.2.1

Figure 2.9 List view in the Clusters menu 

The cluster list provides a compact operational inventory, showing locations, types, labels, and warnings across the current fleet. section 2.4.4

How Google Anthos in Action covers it

How deep it goes

Explains provisioning inputs, fleet visibility, Marketplace deployment, and operational integrations without detailing Kubernetes internals.

Examples

Uses cluster fleet views, Anthos on Azure architecture, and Elasticsearch deployment with replicas and resource monitoring.

What it assumes

Assumes cloud and Kubernetes familiarity; Azure deployments additionally require gcloud CLI, Azure roles, an identity application, networking, and permissions.

What you can do after

Operate/configure managed Kubernetes clusters, deploy Marketplace applications, and standardize workloads across cloud and on-premises environments.

How it connects

Connects Kubernetes with Anthos, Marketplace, service mesh, configuration management, Cloud Logging, and Cloud Monitoring.

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Also explained in

• 

  liveBookmanning.com
  Kubernetes in Action, Second EditionGKE is Google Cloud's managed Kubernetes service for running Kubernetes clusters.
• 

  liveBookmanning.com
  Kubernetes for DevelopersGoogle Kubernetes Engine is Google Cloud's managed Kubernetes service.

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Related concepts

• Google Cloud Marketplaceused by · Google Cloud Marketplace is a catalog and procurement platform for discovering, acquiring, and deploying commercial and open-source software and services on Google Cloud.
• Cloud Service Meshused by · Cloud Service Mesh is Google's managed service mesh for controlling, securing, and observing communication among distributed services, formerly known as Anthos Service Mesh.
• Elasticsearchused by · Elasticsearch is a distributed search and analytics engine that indexes data for searching, retrieval, and analysis.
• Google Cloud IAMused by · Google Cloud IAM is an access-control service that manages identities, roles, and permissions for Google Cloud resources.

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.