Commit
A commit is an operation or record that finalizes changes or a proposed state, making it part of a system’s accepted state or history.
Designing Deep Learning Systems: A guide for software engineers
An immutable recorded unit of dataset ingestion or change, containing newly added content and associated metadata such as tags and messages.
- How it is used
- Records every dataset ingestion or update as a durable unit for history tracking, filtering, and reproducible training-data preparation.
- How deep it goes
- Explains creation, metadata, storage placement, commit-level filtering, and conversion into versioned snapshots; defers management API implementation.
- Examples
- Uses dataset creation and update requests, tag-filtered training preparation, mislabeled-data removal, and Pachyderm image-processing commits.
- What you can do after
- Operate/configure it by submitting ingestion updates with metadata and selecting commits to build reproducible training datasets.
Read how Designing Deep Learning Systems: A guide for software engineers explains commit →
.NET in Action, Second Edition
The commit phase is the stage of a transaction in which its pending changes are finalized in the data store.
- How it is used
- Finalizes a transaction’s grouped updates so a money transfer does not leave only one account changed.
- How deep it goes
- Shows `CommitAsync()` in a transactional transfer and examines uncertain outcomes after connection loss, without detailing database commit internals.
- Examples
- Uses a two-account transfer, an insufficient-funds test, and a connection lost during transaction commit.
- What you can do after
- Apply it via EF Core to finalize grouped updates and recognize when a commit failure requires outcome verification before retrying.
Road to Kubernetes
A commit is a recorded snapshot of changes in a Git repository, identified by a commit identifier and optionally accompanied by a message.
- How it is used
- Uses commits to finalize related application changes before pushing code to a remote repository.
- How deep it goes
- Explains snapshots, messages, file selection, history inspection, and basic reversal, while deferring advanced Git features.
- Examples
- Demonstrates initial Python and Node.js project commits alongside recurring add-and-commit changes.
- What you can do after
- Apply commits to track incremental application changes and inspect or prepare them for GitHub.
Building User-Friendly DSLs
A version-control record representing the state of tracked content at a particular point in time.
- How it is used
- Supports collaborative code sharing, concurrent work, release management, auditing, and regulatory compliance.
- How deep it goes
- Defines commit identity and workflow use, then describes accumulated changes and manual merge-conflict resolution.
- Examples
- Uses Git SHA hashes, feature-branch commit sequences, code review, mainline merges, and manually resolved conflicts.
- What you can do after
- Operate Git-based collaborative workflows by recording changes, sharing commit sequences, reviewing work, and merging branches.
Kafka for Architects
In Kafka, a commit is either confirmation that messages are safely stored or an indication that a consumer has advanced past processed messages, while in databases it finalizes a transaction.
- How it is used
- Explains how Kafka consumers record progress and how architects choose between automatic and manual offset management.
- How deep it goes
- Explains offset position, failure risk, reset behavior, and parallel-processing constraints, but does not detail commit APIs.
- Examples
- Uses a critical ODS dashboard, automatic-versus-manual commits, earliest offset reset, and keyed worker pools.
- What you can do after
- Configure offset handling, avoid premature commits, and reason about replay, message loss, and parallel completion.
Related concepts
- calculation phasecontrasts with · The calculation phase is the phase of a mutation that computes the next version of system data without advancing the current state.
- postincident analysisproduced by · Postincident analysis is a structured examination of an incident and its response to understand what occurred, identify causes, and determine improvements or corrective actions.
- offsetuses · An offset is a position or displacement measured relative to a reference point, such as the start of a sequence, an address base, or a default location.
- ArgoCDused by · Argo CD is a declarative GitOps continuous-delivery tool that deploys and synchronizes applications on Kubernetes from version-controlled configuration.
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.




