Manifest file
A manifest file is a machine-readable document that declares metadata, configuration, contents, or resources associated with a software artifact, application, or collection.
Learn Docker in a Month of Lunches, Second Edition
A deployment manifest is a declarative file specifying the resources and configuration required to deploy software to an environment.
- How it is used
- Describes containerized application deployments consistently across laptops, datacenters, and clouds.
- How deep it goes
- Defines manifests through their deployment role and formats, but does not detail fields, syntax, or resource semantics.
- Examples
- Uses Docker Compose and Kubernetes application manifests as deployment-document examples for a portable containerized application.
- What you can do after
- Apply it via Docker Compose or Kubernetes to describe a deployable application without changing its code.
Read how Learn Docker in a Month of Lunches, Second Edition explains manifest file →
Designing Deep Learning Systems: A guide for software engineers
A file that records metadata or associations describing the contents of a dataset or collection of files.
- How it is used
- Defines dataset associations and supplies model-serving metadata needed to interpret predictions.
- How deep it goes
- Explains concrete CSV and JSON layouts and loading responsibilities, while keeping learned parameters and vocabulary in separate files.
- Examples
- Uses image CSV manifests, an examples directory, and an intent-classification manifest.json with class mappings.
- What you can do after
- Operate/configure dataset ingestion and model serving by providing file associations, metadata, and prediction-class mappings.
Read how Designing Deep Learning Systems: A guide for software engineers explains manifest file →
Automating API Delivery
A deployment manifest is a declarative file that specifies the resources and configuration required to deploy an application or service.
- How it is used
- Deploys application and API gateway configuration through a version-controlled GitOps workflow.
- How deep it goes
- Traces templates through generated manifests and repository merges to deployment, while noting credential and drift limitations.
- Examples
- Uses application manifest templates, generated configuration files, configuration repositories, and API gateway settings.
- What you can do after
- Operate/configure deployments by generating, versioning, reviewing, and applying manifests to a specified environment.
Related concepts
- file-level metadatakind of · Metadata describing individual data files, including their locations and query-relevant statistics.
- compactionused by · Compaction is the consolidation or reorganization of data, objects, or context to reduce length or fragmentation while preserving what is needed.
- versionhas part · A version is a distinct, identifiable state or revision of an artifact, system, or product.
- project filepart of · A project file is a configuration file that defines a software project’s metadata, source files, dependencies, and build settings.
- requirements.txtincludes · requirements.txt is a conventional text file that specifies Python project dependencies and may include version constraints or package sources.
These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.


