How deeply does Effective Platform Engineering cover serverless computing?

Contrasts deployment speed and orchestration abstraction with Kubernetes extensibility, but does not detail serverless internals.

Serverless computing

As explained in Effective Platform Engineering

Serverless is a cloud computing model in which a provider manages the underlying infrastructure and runs customer-supplied functions or workloads on demand.

Serverless computing is a vendor-managed cloud model that lets developers deploy lightweight functions without setting up orchestration infrastructure. The platform runs orchestration behind the scenes, but exposes little or no control over its implementation or extensibility. section 2.3.5

Serverless is useful when speed outweighs the need for platform customization:

Deploys small functions, commonly written in JavaScript, Golang, Python, or Java, that each do one or two things quickly. section 2.3.5
Avoids initial cluster setup, allowing developers to deploy directly to a cloud platform. section 2.3.5
Limits centrally governed customization for secret injection, code-signing verification, static analysis, traffic routing, and identity verification. section 2.3.5

Choosing serverless for a lightweight function

A team can deploy a small Python or JavaScript function quickly when standard vendor controls are sufficient. If the platform must enforce organization-specific security or governance behavior, managed Kubernetes provides more extensibility. section 2.3.5

How Effective Platform Engineering covers it

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Also explained in

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Server-Side WebAssemblyServerless computing is a cloud model in which the provider manages infrastructure and server operations while applications run in response to events or requests.
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Shipping Go: Develop, deliver, discuss, design, and go againFunction as a Service is a cloud service model that executes individual functions on demand while hiding server and runtime management from the developer.
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Google Anthos in ActionA serverless workload is an application workload whose infrastructure provisioning and capacity management are handled by a platform rather than directly by its operator.
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Microsoft Azure in ActionServerless computing is a cloud execution model in which the provider manages server infrastructure while applications run code in response to events or requests.
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Delivering Machine Learning Projects: From design to deploymentServerless computing is a cloud execution model in which a provider manages infrastructure and servers while workloads run on demand.
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Platform Engineering on KubernetesServerless computing is an execution model in which the provider manages server infrastructure and applications run with capacity allocated on demand.
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Quarkus in ActionA serverless platform is a cloud execution platform that automatically provisions, starts, scales, and stops application instances in response to requests.
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Cloud Observability in ActionA serverless environment is an execution environment in which the provider manages the underlying servers and infrastructure for application code.

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Related concepts

AWS Lambdaincludes · AWS Lambda is Amazon Web Services’ managed serverless computing service for running code in response to events or requests without managing servers.
cloud computinguses · Cloud computing is the on-demand delivery of computing resources and services over a network from remotely managed infrastructure.
containeruses · A software container is an isolated execution environment that packages an application and its dependencies while sharing the host operating system kernel.
Knativeincludes · 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 Effective Platform Engineering. The section links point to the parts of the book it draws on.