Shared-responsibility model

As explained in Google Anthos in Action

A shared responsibility model is an operating model in which responsibility for infrastructure, platforms, applications, and data is divided among participating parties.

A shared-responsibility model divides delivery responsibilities across developers, operators, and security officers while aligning their methods, constraints, and interfaces. section 12.7 section 12.6

Modern application delivery assigns responsibilities across several operational concerns:

• Developers handle application development, automated testing, and releases. section 12.6
• Operators keep applications, platforms, and infrastructure working against agreed performance and availability indicators. section 12.6
• Security officers apply agreed policies and security standards across environments, structures, and layers. section 12.6
• Teams divide configuration ownership while meeting at common interfaces such as code repositories, image builds, and Kubernetes manifests. section 12.6

Centralized management and unified toolsets improve cooperation, while external pipeline integrations preserve flexibility. Single clusters with multiple namespaces suit single-site or nonproduction setups; multiple clusters support high availability, global latency requirements, reduced infrastructure-change impact, and gradual rollouts. section 12.7 section 12.6

Figure 12.42 Personas vs. code repositories

Maps delivery personas to shared code repositories and clarifies where responsibilities intersect. section 12.6

How Google Anthos in Action covers it

How deep it goes

Defines roles, configuration ownership, shared interfaces, and cluster-topology trade-offs, but stops short of detailed implementation procedures.

Examples

Uses personas, code repositories, image builds, Kubernetes manifests, and single-cluster versus multicluster deployments as concrete artifacts and choices.

What you can do after

Apply it via CI/CD and GitOps interfaces to coordinate ownership, standardize delivery, and choose deployment topology.

How it connects

Connects CI/CD platforms, GitOps, Kubernetes, microservices, application delivery, and infrastructure management.

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Also explained in

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  Effective Platform EngineeringA shared responsibility model divides security responsibilities between a platform provider and the users of the platform.
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  Data-Driven CybersecurityShared responsibility is an operating pattern in which a cloud provider secures the underlying infrastructure while the customer secures its data and workloads.
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  Microsoft Azure in ActionThe shared responsibility model is a cloud security framework that assigns responsibility for different aspects of operating and securing a cloud environment between the provider and the customer.
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  MongoDB 8.0 in Action, Third EditionA shared responsibility model is a security arrangement that divides operational and security obligations among a service provider, infrastructure providers, and customers.
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  Azure SecurityShared responsibility is a division of accountability among multiple parties for managing and resolving a security outcome.

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Related concepts

• cloud providercontrasts with · A cloud provider is an organization that delivers computing resources, platforms, or managed services over a network, typically on demand.
• Amazon Relational Database Service (RDS)used by · Amazon Relational Database Service is an AWS-managed service for deploying, operating, and scaling relational databases.
• software as a serviceuses · Software as a service is a software delivery model in which a provider hosts and operates applications that users access over a network.
• iaasuses · Infrastructure as a Service is a cloud service model that provides on-demand computing, storage, and networking resources while customers manage the operating systems and applications they run.
• platform as a serviceuses · Platform as a service is a cloud service model that provides a managed application development, deployment, or runtime platform while abstracting management of the underlying infrastructure.
• cloud computingconfigures · Cloud computing is the on-demand delivery of computing resources and services over a network from remotely managed infrastructure.

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.