Kubernetes

As explained in Google Anthos in Action

Kubernetes is an open-source platform for orchestrating and automating containerized workloads and infrastructure.

Kubernetes is an open-source orchestration and automation platform that manages infrastructure and application workloads through a container abstraction layer. It provides the compute engine for applications running in a cluster and can underpin multi-cloud platforms such as Anthos. section 1.2 section 3.1

Using Kubernetes effectively requires more than automated cluster creation. Administrators need to understand component interactions for troubleshooting, while developers need basic operations and the resources used to deploy workloads. section 3.0 section 3.1

Deployment decisions depend on understanding:

• Cluster components and their interactions, including how workloads are deployed and managed. section 3.0
• Kubernetes resources, also called objects, which provide the basic mechanisms for deploying applications. section 3.0
• Scheduling controls such as labels, selectors, tolerations, and affinity or anti-affinity rules. section 3.0
• The trade-off between simplified vendor installation and the operational knowledge needed to diagnose poor architectural choices. section 3.1

Figure 1.1 Anthos components and functions

Use the architecture figure to relate Kubernetes to service management, policy automation, multi-cloud abstraction, and developer tooling in Anthos. section 1.2

How Google Anthos in Action covers it

How deep it goes

Explains components, resources, and scheduling constraints, but stops short of detailed implementation procedures or individual component internals.

Examples

Uses Anthos architecture and workload-placement scenarios involving labels, selectors, tolerations, and affinity rules.

What it assumes

Assumes some cluster or cloud context while emphasizing that administrators and developers need Kubernetes fundamentals beyond automated installation.

What you can do after

Diagnose cluster and workload deployment problems and make better architectural decisions about resources and workload placement.

How it connects

Connects Kubernetes with containers, clusters, Anthos, service meshes, policy automation, resources, and workload scheduling.

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Related concepts

• agent orchestrationkind of · Orchestration is the coordination and sequencing of agents, services, tasks, or components to carry out a larger workflow or objective.
• kubectlused by · kubectl is the Kubernetes command-line client for communicating with the Kubernetes API and managing cluster resources.
• load balancinguses · Load balancing is the distribution of requests or computational work across multiple resources to manage demand, reduce workload imbalance, and improve utilization or availability.
• poduses · A Kubernetes Pod is the smallest deployable unit in Kubernetes, grouping one or more co-located containers that share networking and other resources.
• Knativeused by · Knative is an open-source, Kubernetes-based platform for deploying and operating serverless and event-driven workloads.

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.