Container

As explained in Google Anthos in Action

A containerized application is an application packaged to run inside one or more containers with its required dependencies.

A container packages an application with the runtime, system tools, libraries, code, configuration, and settings required for execution. Containerized applications can modernize VM workloads without requiring a complete rewrite. section 15.0 section 16.6

A containerized deployment typically separates application responsibilities from platform responsibilities:

• Application artifacts hold user-mode system content and application services. section 15.3.2
• Kubernetes manages networking, logging, monitoring, OS kernels, drivers, and persistent-volume integration. section 15.3.2
• Container density can exceed VM density because multiple containers share underlying infrastructure and avoid duplicating operating-system resources. section 15.1.1
• Security depends on correct platform configuration: shared host kernels create breakout risk, while hypervisors also have exploitable vulnerabilities. section 13.2

Migrating a VM workload

A migration workflow can produce a Docker image, Dockerfile, deployment YAML, user services, and persistent-volume definitions from a virtual machine. The resulting artifacts can run on Anthos or another Kubernetes-conformant distribution. section 15.3.2 section 15.3

Figure 15.2 Anthos Migrate: From virtual machines to containers

Use the architecture figure to trace how a virtual machine becomes application containers, deployment artifacts, and Kubernetes-managed storage. section 15.3.2

How Google Anthos in Action covers it

How deep it goes

Explains migration artifacts, storage, platform delegation, density, and security risks, but does not detail application-specific container construction.

Examples

Uses VM migration, Docker images, Dockerfiles, deployment YAML, system containers, and Kubernetes persistent volumes as concrete artifacts.

What it assumes

Assumes familiarity with virtual machines and Kubernetes while emphasizing that secure operation requires understanding platform security fundamentals.

What you can do after

Evaluate and plan VM-to-container migrations with portability, density, storage, operational, and security implications in view.

How it connects

Connects containers with virtual machines, Kubernetes, persistent volumes, microservices, service meshes, and CI/CD.

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Related concepts

• container imageproduced by · A container image is a packaged filesystem and configuration artifact from which a container can be created and run.
• Dockerused by · Docker is a platform and ecosystem for building, distributing, and running applications in containers.
• cmd directiveconfigured by · The Dockerfile CMD instruction specifies the default command or arguments executed when a container starts, unless overridden at runtime.
• agent orchestrationused by · Orchestration is the coordination and sequencing of agents, services, tasks, or components to carry out a larger workflow or objective.
• Kubernetesused by · Kubernetes is an open-source platform for orchestrating and automating the deployment, scaling, and management of containerized workloads across computing clusters.
• virtual machinecontrasts with · A virtual machine is a software-based environment that emulates or implements an abstract computer system, providing an interface on which an operating system or programs can execute.

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.