Engineering Glossary

From fundamental principles to cutting-edge practices, this glossary covers the full spectrum of software engineering terminology.

DevOps

Browse glossary

Cloud Computing

Browse glossary

Git

Browse glossary

Containerization & Orchestration

Browse glossary

Compliance as Code

Learn about Compliance as Code, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Complicated-subsystem Team

Learn about Complicated-subsystem Team, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

ConDep

Learn about ConDep, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Configuration Drift

Learn about Configuration Drift, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Configuration Management

Learn about Configuration Management, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Configuration as Code (CaC)

Learn about Configuration as Code (CaC), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Constraint

Learn about Constraint, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Consul

Learn about Consul, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Container Image

Learn about Container Image, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Container Registry

Learn about Container Registry, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Containerization

Learn about Containerization, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Containers

Learn about Containers, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Containers-as-a-Service (CaaS)

Learn about Containers-as-a-Service (CaaS), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Content Delivery Network (CDN)

Learn about Content Delivery Network (CDN), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Compliance

Learn about Continuous Compliance, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Delivery (CD)

Learn about Continuous Delivery (CD), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Delivery Pipeline

Learn about Continuous Delivery Pipeline, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Deployment (CD)

Learn about Continuous Deployment (CD), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Feedback

Learn about Continuous Feedback, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Governance

Learn about Continuous Governance, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Improvement

Learn about Continuous Improvement, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Integration (CI)

Learn about Continuous Integration (CI), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Integration and Deployment (CI/CD)

Learn about Continuous Integration and Deployment (CI/CD), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Intelligence

Learn about Continuous Intelligence, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Learning Culture

Learn about Continuous Learning Culture, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Monitoring

Learn about Continuous Monitoring, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Quality

Learn about Continuous Quality, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Quality Improvement (CQI)

Learn about Continuous Quality Improvement (CQI), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Reliability

Learn about Continuous Reliability, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Security

Learn about Continuous Security, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Continuous Testing

Learn about Continuous Testing, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Contract Testing

Learn about Contract Testing, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Cordova

Learn about Cordova, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

CoreOS

Learn about CoreOS, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Coupon Scraping

Learn about Coupon Scraping, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Create Test for Every Bug

Learn about Create Test for Every Bug, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Credential Abuse

Learn about Credential Abuse, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Credential Stuffing

Learn about Credential Stuffing, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Credmgr

Learn about Credmgr, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Cron Job

Learn about Cron Job, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Cross Platform

Learn about Cross Platform, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Cross-Functional Team

Learn about Cross-Functional Team, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Cross-Site Scripting (XSS)

Learn about Cross-Site Scripting (XSS), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

CruiseControl

Learn about CruiseControl, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Cryptomining Malware

Learn about Cryptomining Malware, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Culture

Learn about Culture, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Cumulative Layout Shift (CLS)

Learn about Cumulative Layout Shift (CLS), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Cybersecurity

Learn about Cybersecurity, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DAST

Learn about DAST, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DDoS

Learn about DDoS, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DNS Lookup Time

Learn about DNS Lookup Time, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DORA Metrics

Learn about DORA Metrics, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Dark Launch

Learn about Dark Launch, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Dark Launching

Learn about Dark Launching, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Dark Release

Learn about Dark Release, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Dashboards

Learn about Dashboards, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Data Breach

Learn about Data Breach, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Data Leakage

Learn about Data Leakage, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Data Loss Prevention (DLP)

Learn about Data Loss Prevention (DLP), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Data Security

Learn about Data Security, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Database Management

Learn about Database Management, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Database Versioning

Learn about Database Versioning, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Datadog

Learn about Datadog, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Dead Code

Learn about Dead Code, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Declarative Infrastructure

Learn about Declarative Infrastructure, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Dedicated Environment

Learn about Dedicated Environment, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Defense-in-Depth (DiD)

Learn about Defense-in-Depth (DiD), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Definition of Done

Learn about Definition of Done, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Deis

Learn about Deis, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Denial of Service (DoS)

Learn about Denial of Service (DoS), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Deploykit

Learn about Deploykit, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Deployment

Learn about Deployment, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Deployment Frequency

Learn about Deployment Frequency, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Deployment Pattern

Learn about Deployment Pattern, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Deployment Pipeline

Learn about Deployment Pipeline, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Deployment Target

Learn about Deployment Target, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Design Patterns

Learn about Design Patterns, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Dev (from DevOps)

Learn about Dev (from DevOps), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Learn about DevOps, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DevOps Assembly Line

Learn about DevOps Assembly Line, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DevOps Culture

Learn about DevOps Culture, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DevOps Engineer

Learn about DevOps Engineer, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DevOps Lifecycle

Learn about DevOps Lifecycle, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DevOps Model

Learn about DevOps Model, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DevOps Pipeline

Learn about DevOps Pipeline, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DevOps Team

Learn about DevOps Team, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DevOps-as-a-Service

Learn about DevOps-as-a-Service, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DevSecOps

Learn about DevSecOps, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DevSecOps Pipeline

Learn about DevSecOps Pipeline, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

DevXOps

Learn about DevXOps, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Developer Experience

Learn about Developer Experience, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Device Fingerprinting

Learn about Device Fingerprinting, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Diamond

Learn about Diamond, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Digital Customer Experience

Learn about Digital Customer Experience, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Directory Traversal

Learn about Directory Traversal, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Distributed Tracing

Learn about Distributed Tracing, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Distributed Version Control System (DVCS)

Learn about Distributed Version Control System (DVCS), its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Django Framework

Learn about Django Framework, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Djangy

Learn about Djangy, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

Docker

Learn about Docker, its role in DevOps, and why it matters for modern development practices. A quick and clear explanation to enhance your understanding.

DevOps

@mention

A feature in Git platforms that allows users to notify specific team members or reference issues by using the @ symbol followed by a username.

API preview

A feature allowing developers to test and provide feedback on new Git API functionality before it's officially released.

Bare Repository

A Git repository containing version control information without a working directory, typically used as a central repository for collaboration.

Bisect

A Git command used to perform a binary search through a repository's history to identify the commit that introduced a bug or issue.

Bitbucket Pipelines

An integrated CI/CD service in Bitbucket for automating builds, tests, and deployments.

Blame

A Git feature that shows which user last modified each line of a file, helping developers trace changes and understand code history.

Blamestorming

A collaborative process of analyzing Git blame information to identify the source of bugs or issues in a codebase.

Branch

A parallel version of a repository, allowing developers to work on different features or experiments without affecting the main codebase.

Branch policies

Rules enforced on Git branches to ensure code quality, require reviews, or restrict certain actions before merging.

Business plan

A premium subscription tier offered by Git hosting services, providing advanced features and support for enterprise users.

CA certificate

A digital certificate issued by a Certificate Authority, used in Git to establish secure HTTPS connections and verify server identities.

Cache

A temporary storage area that holds frequently accessed data for quick retrieval, improving system performance.

Checkout

A Git command used to switch between different branches or restore files from a specific commit in a repository's history.

Cherry-Pick

A Git operation that applies the changes from a specific commit to the current branch, useful for selective code integration.

Cherry-picking

The practice of selecting and applying specific commits from one branch to another in Git, often used for targeted bug fixes.

Clone

The process of creating a local copy of a remote Git repository, allowing developers to work on the codebase independently.

Code owners file

A file specifying individuals or teams responsible for code in different parts of a repository.

Commit

Operation in version control systems that saves changes to the local repository, creating a new revision with a unique identifier.

Conflict

A situation in Git where incompatible changes have been made to the same part of a file, requiring manual resolution before merging.

Continuous Integration

Practice of merging all developer working copies to a shared mainline several times a day.

DAG (Directed Acyclic Graph)

Directed Acyclic Graph, the underlying data structure used by Git to represent the commit history and relationships between commits.

Detach HEAD

A Git operation that moves the HEAD pointer to a specific commit, allowing for temporary exploration of historical states.

Diff

A Git command or operation that shows the differences between two commits, branches, files, or other Git objects.

Downstream

Refers to the direction of change propagation in Git, typically from a parent branch to its child branches or forks.

Explorer

A feature in Git platforms for browsing repository contents, viewing files, and navigating through different branches.

Feature branch workflow

A Git pattern where each new feature is developed in a dedicated branch, then merged back to the main branch.

Fetch

A Git command that retrieves changes from a remote repository without automatically merging them into the local branch.

Force Push

A Git push operation that overwrites the remote branch's history with the local branch, potentially causing data loss if used carelessly.

Fork

A personal copy of another user's repository on a Git hosting platform, allowing independent development without affecting the original project.

Free plan

A no-cost tier offered by Git hosting services, typically with limited features and storage for individual users or small projects.

GPG (GNU Privacy Guard)

An encryption software used with Git for signing commits and tags, enhancing security and verification.

Gist

A simple way to share code snippets, notes, or small files using Git, often integrated into Git platforms.

Git

Distributed version control system for tracking changes in source code during software development.

Git Alias

A custom shortcut command defined by users to simplify complex or frequently used Git operations.

Git Alternates

A mechanism in Git allowing a repository to borrow objects from another repository, useful for saving disk space in large projects.

Git Annotate

A Git command that shows the author and commit information for each line in a file, similar to the "blame" feature.

Git Assume Unchanged

A Git feature that tells the system to temporarily ignore changes to a tracked file, useful for local configuration files.

Git Attributes

A mechanism in Git for defining attributes on a per-path basis, controlling how Git handles certain files or directories.

Git Bisect

A Git command used to perform a binary search through the commit history to find the commit that introduced a bug.

Git Bisect Run

An automated version of Git Bisect that uses a script to determine if each checked-out commit is "good" or "bad".

Git Blame -C (Copy Detection)

An enhanced version of Git Blame that detects lines moved or copied from other files, providing better change tracking.

Git Bundle

A Git command that creates a single file containing all the data needed to recreate a repository's branch or history.

Git Bundle Create/Verify

Commands to create and verify Git bundles, useful for transferring repository data without using a network.

Git Cheat Sheet

A quick reference guide summarizing common Git commands and their usage, helpful for both beginners and experienced users.

Git Cherry

A Git command used to find commits that haven't been merged upstream, useful for identifying changes to be applied to another branch.

Git Clean

A command to remove untracked files from the working directory, helping to maintain a clean repository state.

Git Commit --amend

A command that allows you to modify the most recent commit, adding new changes or updating the commit message.

Git Commit Amend

A command that allows you to modify the most recent commit, changing its message or contents, and update it without creating a new commit.

Git Commit Hooks

Scripts that run automatically before or after a commit, allowing you to enforce rules, format code, or perform checks on changes.

Git Commit Templates

Predefined structures for commit messages, helping maintain consistency and include necessary information in commits.

Git Commit Trailers

Metadata added to the end of commit messages, often used for things like issue references or sign-offs.

Git Commit-graph

A file format used to store commit graph structure, improving performance for operations that traverse commit history.

Git Commit-graph Verify

A command to check the integrity and validity of the commit-graph file in a Git repository.

Git Commit-tree

A low-level Git command used to create a new commit object from an existing tree object.

Git Config

A command and system for setting configuration options for Git on a global, local, or repository level.

Git Count-objects

A diagnostic command that provides statistics about the number and size of objects in a Git repository.

Git Credential Helper

A system that securely stores and retrieves credentials for Git operations, reducing the need for manual authentication.

Git Daemon

A lightweight server for the Git protocol, allowing anonymous read access to Git repositories.

Git Dangling Objects

Objects in Git that are not reachable from any reference, often created during rebasing or other history-altering operations.

Git Describe

A command that generates a human-readable name for a commit based on the most recent tag and additional commit information.

Git Diff

A command that shows changes between commits, branches, files, or the working directory and the index.

Git Diff Algorithms

Various methods used by Git to compute differences between versions of files, optimizing for different scenarios.

Git Diff Tool

An external program or interface used to visualize differences between files or commits in a more user-friendly manner.

Git Fetch --All

A command that fetches updates from all remote repositories configured in a Git project.

Git Filter-branch

A powerful tool for rewriting Git history, allowing for large-scale changes across many commits.

Git Flow

A branching model for Git that defines a strict branching structure designed to support multiple parallel developments.

Git Fork

The process of creating a personal copy of someone else's project, allowing for independent development without affecting the original.

Git Fsck

A command that verifies the connectivity and validity of objects in the Git database.

Git Fsck (File System Check)

Verifies the integrity of objects in the Git database, checking for corruption and inconsistencies.

Git GPG verification

A security feature in Git that uses GPG to sign and verify commits and tags, ensuring authenticity.

Git Garbage Collection (gc)

A process that optimizes the Git repository by removing unnecessary files and compressing objects.

Git Gc (Garbage Collection)

Short for Git Garbage Collection, a command to clean up unnecessary files and optimize the repository.

Git Grep

A command for searching files in a Git repository using regular expressions or simple string matching.

Git Hook

A script that Git automatically runs before or after specific events, like commits or merges, to customize workflows and enforce rules.

Git Hooks

Same as Git Hook, scripts triggered by various Git actions to automate tasks or enforce policies.

Git Ignore

A mechanism to specify intentionally untracked files that Git should ignore, typically defined in a .gitignore file.

Git Index Format

The internal format used by Git to store the staging area information, representing the next commit to be made.

Git Init

A command used to initialize a new Git repository, creating the necessary directory structure for version control.

Git Interactive Rebase

A feature allowing users to modify commits in their branch history, useful for cleaning up before merging.

Git Internals (objects, refs, etc.)

The underlying data structures and mechanisms Git uses to store and manage version control information.

Git Interpret-trailers

A command to parse and manipulate the trailer lines typically found at the end of commit messages.

Git LFS (Large File Storage)

A system that manages large files by storing them outside the main repository, replacing them with lightweight pointers to improve performance and efficiency.

Git Large File Storage (LFS)

An extension that replaces large files with text pointers in Git, while storing the file contents on a remote server.

Git Log

A command to display the commit history of a repository, showing details like author, date, and commit message.

Git Maintenance

A set of tasks performed to keep a Git repository in good condition, including garbage collection and optimization.

Git Merge Strategies

Different algorithms used by Git to combine separate development histories when merging branches.

Git Merge Tools

External programs or interfaces used to resolve merge conflicts in a more visual and user-friendly manner.

Git Merge-base

A command that finds the best common ancestor between two commits, useful for determining the point where branches diverged.

Git Multi-pack Index (MIDX)

A feature that improves performance for repositories with many pack files by creating an index across multiple packs.

Git Namespaces

A feature allowing multiple references (like branches or tags) with the same name to coexist by separating them into different namespaces.

Git Notes

A way to add or inspect object notes, allowing additional information to be attached to Git objects without changing their SHA-1 hash.

Git Object Storage

The system Git uses to store all the versions of files, commits, and other objects in a content-addressable filesystem.

Git Pack Files

Compressed files containing Git objects, used to efficiently store and transfer repository data.

Git Packfile Format

The internal format used by Git to store multiple objects efficiently in a single file, reducing disk usage and improving performance.

Git Partial Clone

A feature allowing users to clone a repository without downloading all of its objects, saving bandwidth and storage.

Git Patch

A file format representing changes between versions, used for sharing and applying modifications across different repositories.

Git Plumbing Commands

Low-level Git commands that expose the internal workings of Git, primarily used for scripting and advanced operations.

Git Porcelain Commands

User-friendly commands for everyday tasks, like git status and git commit, designed for ease of use and clear output.

Git Protocol

The native network protocol used by Git for efficient data transfer between repositories.

Git Prune

A command that removes objects that are no longer reachable from any references in the repository.

3D Stacked Memory for Cloud Servers

High-density memory architecture using vertically stacked chips, enhancing performance and capacity in cloud server hardware.

5G Cloud

Cloud infrastructure optimized for 5G networks, supporting high-speed, low-latency services and applications.

5G Network Slicing

Technique to create multiple virtual networks on a shared physical 5G infrastructure, each optimized for specific use cases.

5G and Edge Computing

Integration of 5G networks with edge computing to enable low-latency, high-bandwidth applications closer to end-users.

6G Cloud Integration

Future convergence of 6G networks with cloud computing, promising ultra-high speeds and advanced capabilities.

ACID Compliance

Database transaction properties (Atomicity, Consistency, Isolation, Durability) ensuring data integrity in cloud environments.

AI Ethics Compliance Tools

Software ensuring AI systems adhere to ethical guidelines and regulations in cloud deployments.

AI Ethics and Bias Detection Tools

Software for identifying and mitigating ethical issues and biases in AI models deployed in cloud environments.

AI Ethics and Governance Tools

Solutions for managing ethical considerations and regulatory compliance in cloud-based AI systems.

AI Governance Frameworks

Structured approaches for managing AI development, deployment, and use in cloud environments.

AI Model Governance Platforms

Comprehensive solutions for managing, monitoring, and controlling AI models in cloud-based systems.

AI Model Interpretability Services

Cloud-based tools for explaining and understanding the decision-making processes of AI models.

AI Model Interpretability Tools

Software for analyzing and explaining AI model decisions, crucial for transparency in cloud AI services.

AI Model Marketplaces

Cloud platforms for discovering, sharing, and monetizing pre-trained AI models and algorithms.

AI Model Monitoring and Drift Detection

Tools for tracking AI model performance and identifying deviations from expected behavior in cloud environments.

AI Model Versioning and Governance

Systems for managing different versions of AI models and enforcing governance policies in cloud deployments.

AI-Assisted Coding Platforms

Cloud-based development environments that use AI to assist programmers in writing and optimizing code.

AI-Augmented Analytics

Integration of AI capabilities into data analytics processes in cloud environments for enhanced insights.

AI-Driven Capacity Planning

Use of AI algorithms to predict and optimize resource allocation in cloud infrastructures.

AI-Driven Cloud Optimization

Application of AI techniques to improve efficiency, performance, and cost-effectiveness of cloud resources.

AI-Driven Cloud Resource Allocation

Automated distribution of cloud resources using AI to optimize performance and cost-efficiency.

AI-Driven Cloud Service Composition

AI-based automation of cloud service selection and integration for complex workflows.

AI-Driven Code Generation

Automated creation of source code using AI models, often integrated into cloud development platforms.

AI-Driven Data Classification

Automated categorization and labeling of data using AI algorithms in cloud storage and processing systems.

AI-Driven Network Optimization

Use of AI to improve network performance, efficiency, and security in cloud environments.

AI-Driven Resource Allocation

Intelligent distribution of computing resources in cloud environments using AI algorithms.

AI-Driven Security Information and Event Management (SIEM)

Enhanced SIEM systems using AI for improved threat detection and response in cloud environments.

AI-Driven Threat Detection

Use of AI algorithms to identify and analyze potential security threats in cloud systems.

AI-Driven Threat Hunting

Proactive search for hidden threats in cloud environments using AI-powered analytics and automation.

AI-Optimized Cloud Hardware

Cloud infrastructure components designed or configured to enhance AI workload performance.

AI-Optimized Databases

Database systems tailored for AI workloads, often featuring in-memory processing and distributed architectures.

AI-Powered Anomaly Detection

Use of AI algorithms to identify unusual patterns or behaviors in cloud systems and data.

AI-Powered Integration

Intelligent automation of data and application integration processes in cloud environments using AI.

AI-as-a-Service

Cloud-based offering of AI capabilities, allowing businesses to leverage AI without extensive in-house expertise.

AI-as-a-Service (AIaaS)

Cloud-based AI capabilities offered as a service, enabling easy integration of AI into applications.

AIOps

Application of AI for automating and enhancing IT operations management in cloud environments.

AIOps Platforms

Integrated solutions leveraging AI for automated monitoring, analysis, and management of cloud IT operations.

AIOps for Predictive Maintenance

Use of AI-driven analytics to forecast and prevent system failures in cloud infrastructure.

API Security Gateway

Service that protects APIs in cloud environments by managing access, monitoring traffic, and preventing attacks.

API Security Gateways

Dedicated services for securing and managing APIs in cloud environments, including access control and threat protection.

API-First Development

Design approach prioritizing API creation before implementation, common in cloud-native application development.

API-Led Connectivity

Integration strategy using purpose-built APIs to connect data, devices, and applications in cloud ecosystems.

AR Cloud

Persistent 3D digital content overlaid on the physical world, accessible via cloud infrastructure for augmented reality applications.

AR/VR Analytics

Cloud-based tools for analyzing user behavior and performance in augmented and virtual reality environments.

AR/VR Collaboration Platforms

Cloud-hosted services enabling multi-user interaction in shared augmented or virtual reality spaces.

AR/VR Content Delivery Network

Specialized CDN optimized for delivering AR/VR content with low latency and high bandwidth.

AR/VR Development Platforms

Cloud-based tools and services for creating, testing, and deploying augmented and virtual reality applications.

ARM Templates (Azure)

JSON-based files defining infrastructure and configuration for Azure resource deployment.

Adaptive User Interfaces for Cloud Services

Dynamic UIs that adjust based on user behavior, device capabilities, and context in cloud applications.

Adversarial Machine Learning Detection

Techniques to identify and mitigate attacks on ML models in cloud-based AI systems.

Alerting and Notification

Systems for informing administrators or users about important events or issues in cloud environments.

Algorithmic Auditing

Process of examining AI algorithms for bias, errors, or unintended consequences in cloud-based systems.

Ambient Computing Interfaces for Cloud

Seamless, context-aware interaction methods for accessing cloud services in IoT environments.

Anomaly Detection Systems

Tools for identifying unusual patterns or behaviors in cloud systems, often using machine learning techniques.

Application-Aware Networking

Network management approach that optimizes performance based on specific application requirements in cloud environments.

Approximate Query Processing

Technique for quickly estimating query results in large-scale cloud databases, trading accuracy for speed.

Archive Storage (e.g., Amazon Glacier, Azure Archive Storage)

Low-cost cloud storage for infrequently accessed data with longer retrieval times, e.g., Amazon Glacier, Azure Archive Storage.

Artifact Repository

Cloud-based storage for software build outputs, dependencies, and related metadata.

Artificial General Intelligence (AGI) as a Service

Hypothetical cloud offering of human-level AI capabilities across various domains.

Artificial General Intelligence Research Platforms

Cloud-based environments for developing and testing advanced AI systems approaching human-level intelligence.

Audit Logging

Systematic recording of actions and events in cloud systems for security and compliance purposes.

Audit Trails

Chronological records of system activities for reconstructing and examining the sequence of events in cloud environments.

Augmented Analytics

Integration of machine learning and natural language processing in cloud-based data analytics workflows.

Augmented Reality (AR) Cloud

Shared, persistent digital content overlaid on the physical world, accessible via cloud infrastructure.

Augmented Reality Cloud Interfaces

Cloud-based systems for managing and delivering AR content and experiences, enabling scalable AR applications.

Augmented Reality Cloud Rendering

Cloud-powered generation of AR graphics and content, offloading processing from end-user devices.

Auto Scaling Groups

Collections of EC2 instances that automatically adjust capacity based on defined conditions.

Auto-scaling

Automatic adjustment of cloud resources to match workload demands, ensuring optimal performance and cost-efficiency.

AutoML

Automated machine learning processes for model selection, hyperparameter tuning, and feature engineering in cloud environments.

AutoML in the Cloud

Cloud-based services automating the machine learning pipeline from data preparation to model deployment and monitoring.

Automated AI Pipeline Optimization

AI-driven tools for improving efficiency and performance of machine learning workflows in the cloud.

Automated Cloud Governance Enforcement

Systems that automatically implement and maintain cloud resource policies and compliance.

Automated Compliance Monitoring

Continuous, AI-driven assessment of cloud systems against regulatory and security standards.

Automated Data Discovery

AI-powered tools for identifying, categorizing, and mapping data assets in cloud environments.

Automated Data Governance

AI-driven systems for managing data quality, security, and compliance in cloud environments.

Automated Data Wrangling Services

Cloud-based tools using AI to clean, transform, and prepare data for analysis, streamlining data preparation processes.

Automated Feature Engineering

AI-powered generation and selection of features for machine learning models in cloud environments.

Automated Incident Response Orchestration

AI-driven coordination of security incident detection and resolution in cloud systems, automating response workflows.

Automated Machine Learning (AutoML)

Cloud services that automate the process of creating and optimizing machine learning models, from data prep to deployment.

Automated Machine Learning (AutoML) Platforms

Cloud-based systems that automate the end-to-end machine learning model development process, including feature engineering and model selection.

Automated Penetration Testing

AI-driven tools for simulating cyberattacks to identify vulnerabilities in cloud systems and applications.

Automated Threat Modeling

AI-powered analysis of cloud architectures to identify potential security risks and attack vectors.

Autonomous Systems in the Cloud

Self-managing, self-healing cloud services requiring minimal human intervention, leveraging AI for operations.

Azure Edge Zones

Ultra-low latency edge computing extensions of Azure for 5G networks, bringing cloud resources closer to users.

Azure Policy

Service for creating, assigning, and managing policies to control Azure resources and ensure compliance.

B2B Integration Platforms

Cloud-based services facilitating data exchange and process integration between business partners.

Backend for Frontend (BFF) Pattern

Architectural approach creating backend services tailored to specific frontend application needs in cloud environments.

Bare Metal Server

Physical server dedicated to a single tenant, offering direct hardware access in cloud environments.

Bare Metal Servers

Dedicated physical servers without virtualization, offered as a cloud service for high-performance workloads.

Batch Processing (e.g., AWS Batch, Azure Batch)

Execution of series of jobs without user interaction, often for large-scale data processing in the cloud (e.g., AWS Batch, Azure Batch).

Big Data Clusters

Distributed computing environments for processing and analyzing massive datasets in the cloud.

Billing Dashboard

Interface for monitoring and managing cloud service usage and costs, providing detailed breakdowns and forecasts.

Biocomputing in the Cloud

Use of cloud resources for computational biology and genomics research, enabling large-scale analysis and modeling.

Biodiversity Impact Assessment for Cloud Facilities

Evaluation of cloud data center effects on local ecosystems and wildlife to ensure sustainable operations.

Block Storage

Cloud storage that provides fixed-size raw storage volumes, typically used for databases or file systems.

Block Storage (e.g., Amazon EBS, Azure Disk Storage)

Cloud services providing persistent block-level storage volumes for use with compute instances.

Blockchain Analytics

Cloud-based tools for analyzing and visualizing blockchain data and transactions, offering insights into network activity.

Blockchain Databases

Distributed databases using blockchain technology for enhanced security and immutability in cloud environments.

Blockchain Governance Tools

Software for managing and enforcing rules, permissions, and consensus mechanisms in blockchain networks deployed on cloud platforms.

Blockchain Integration Services

Cloud-based solutions for connecting blockchain networks with existing enterprise systems and applications.

Init Containers

Specialized containers that run to completion before other containers in a Kubernetes pod, used for initialization tasks.

Init Containers Resources

Specification of CPU and memory limits for initialization containers in Kubernetes pods, ensuring efficient resource utilization.

Initializers

Deprecated Kubernetes feature for dynamically modifying resource configurations before they become visible to the system.

Inter-Container Communication

Methods and patterns for containers within a pod to exchange data and signals, utilizing shared volumes or localhost networking.

IoT Edge Patterns

Architectural designs for deploying and managing containerized applications on edge devices in Internet of Things scenarios.

Istio

Open-source service mesh providing traffic management, security, and observability for cloud-native applications.

Istio Control Plane Components

Core services of the Istio service mesh responsible for configuring proxies and implementing policies.

Istio Destination Rules

Istio traffic management resource defining policies that apply to traffic intended for a service after routing has occurred.

Istio Gateways

Istio resources managing inbound and outbound traffic for the service mesh, providing fine-grained control over traffic flow.

Istio Mixerless Architecture

Istio design that removes the Mixer component, improving performance and scalability of the service mesh.

Istio Service Entries

Istio resources allowing the addition of entries to the service registry, enabling traffic to external dependencies.

Istio Virtual Services

Istio traffic management resources defining a set of traffic routing rules to apply when a host is addressed.

Istio's Ambient Mesh

Istio feature providing a sidecar-less service mesh implementation, reducing resource overhead and simplifying deployment.

Jaeger

Open-source, end-to-end distributed tracing system for monitoring and troubleshooting microservices-based distributed systems.

Jaeger Operator

Kubernetes operator for automated deployment and management of Jaeger tracing infrastructure in container environments.

Jaeger Tracing

Implementation of distributed tracing using Jaeger to monitor and optimize performance in microservices architectures.

Jenkins X

Cloud-native CI/CD solution for Kubernetes, automating the entire software development lifecycle for containerized applications.

Jib

Tool for building optimized Docker and OCI images for Java applications without the need for a Docker daemon.

Job

Kubernetes resource that creates one or more pods to perform a specific task and ensures they successfully complete, ideal for batch processes.

K3s

Lightweight Kubernetes distribution designed for edge, IoT, and resource-constrained environments, simplifying cluster deployment.

K9s CLI

Terminal-based UI for managing and monitoring Kubernetes clusters, providing an intuitive interface for cluster operations.

KEDA (Kubernetes Event-driven Autoscaling)

Kubernetes-based Event Driven Autoscaling, enabling fine-grained autoscaling for event-driven workloads based on event sources.

KUDO (Kubernetes Universal Declarative Operator)

Kubernetes Universal Declarative Operator, a toolkit for writing operators using a declarative spec, simplifying complex application management.

Kaniko

Tool for building container images from a Dockerfile inside a container or Kubernetes cluster, without requiring a Docker daemon.

Kanister for Application-Consistent Backups

Framework for application-level data management in Kubernetes, ensuring consistent backups of stateful apps.

Karmada

Open-source project for multi-cluster application management in Kubernetes, facilitating resource distribution across clusters.

Kata Containers

Lightweight virtual machines that feel and perform like containers, but provide the workload isolation and security of VMs.

Kata Containers 2.0

Major update to Kata Containers, introducing improved performance, reduced footprint, and enhanced security features.

Keptn

Cloud-native application lifecycle orchestration tool, automating deployment, testing, and remediation for containerized apps.

Kernel Bypass Networking

Technique allowing network packets to bypass the kernel, improving performance in container networking scenarios.

Kernel Namespaces

Linux feature providing isolation for system resources, fundamental to container implementation and resource separation.

Kilo for WireGuard-based Overlay Network

CNI plugin using WireGuard to create a mesh overlay network for Kubernetes, enhancing security and simplicity.

Knative

Kubernetes-based platform for building, deploying, and managing serverless workloads, simplifying serverless application development.

Knative Eventing

Knative component providing tools for routing events between publishers and subscribers in cloud-native applications.

Knative Serving

Knative component for deploying and managing serverless workloads, handling scaling and routing of containerized applications.

Krustlet for WebAssembly in Kubernetes

Tool allowing WebAssembly modules to run in Kubernetes clusters, enabling language-agnostic workloads.

Kube-OVN

Network virtualization solution for Kubernetes integrating the Open vSwitch software switch to provide advanced networking features.

Kube-OVN for Open vSwitch-based Networking

Implementation of Kube-OVN to leverage Open vSwitch for flexible, high-performance container networking.

Kube-bench for CIS Benchmarks

Tool for checking whether Kubernetes deployments adhere to Center for Internet Security (CIS) best practices.

Kube-bench for Security Auditing

Use of kube-bench to perform automated security audits of Kubernetes clusters against established benchmarks.

Kube-router for Direct Container Routing

Kubernetes networking solution providing direct container-to-container networking with BGP-based routing.

Kube-score for Kubernetes Object Analysis

Tool for static code analysis of Kubernetes object definitions, identifying misconfigurations and potential issues.

Kube-state-metrics

Service that listens to the Kubernetes API server and generates metrics about the state of Kubernetes objects.

KubeEdge

Open-source system extending native containerized application orchestration capabilities to hosts at Edge.

Kubeadm

Tool for bootstrapping a minimum viable Kubernetes cluster, simplifying the process of setting up a production-grade cluster.

Kubeaudit for Kubernetes Auditing

Open-source tool for auditing Kubernetes clusters and workloads for potential security issues and best practice violations.

Kubebuilder

Framework for building Kubernetes APIs using custom resource definitions (CRDs), simplifying the creation of operators and controllers.

Kubecost for Cost Monitoring

Tool providing real-time cost visibility and insights for running applications on Kubernetes, optimizing resource allocation.

Kubefed

Kubernetes Cluster Federation, enabling resource management across multiple Kubernetes clusters from a single control plane.

Kubeless

Kubernetes-native serverless framework, allowing deployment of small bits of code (functions) without managing underlying infrastructure.

Kubernetes API Versioning

System for evolving the Kubernetes API over time, allowing for backwards compatibility and gradual feature deprecation.

Kubernetes Admission Controllers

Plugins intercepting requests to the Kubernetes API server before object persistence, enforcing policies.

Kubernetes Aggregation Layer

Feature allowing the Kubernetes API to be extended with additional APIs, enabling custom resources and controllers.

Kubernetes Annotations

Key-value pairs for attaching non-identifying metadata to objects, used for tooling and client retrieval.

Kubernetes Autoscaling (HPA, VPA, Cluster Autoscaler)

Mechanisms (HPA, VPA, Cluster Autoscaler) for automatically adjusting resources based on demand and metrics.

Kubernetes Conformance Program

CNCF initiative ensuring consistency and portability across Kubernetes distributions and installations.

Kubernetes Events

API objects automatically created when other objects change state, providing a cluster activity audit trail.

Kubernetes Federation

Mechanism for coordinating multiple Kubernetes clusters, enabling multi-cluster application deployment and management.

Kubernetes Finalizers

Field on resources preventing accidental deletion, ensuring proper cleanup of related resources or external dependencies.

Kubernetes Garbage Collection

Process of automatically deleting objects that no longer have owners, preventing resource leaks.

Kubernetes Gateway API

Evolved ingress and service networking, providing a more expressive, extensible way to configure traffic routing.

Kubernetes Labels

Key-value pairs attached to objects for identification and selection, crucial for organizing and selecting object subsets.

Kubernetes Metrics Server

Cluster-wide aggregator of resource usage data, providing CPU and memory metrics for Horizontal Pod Autoscaler.

Kubernetes Operators

Software extensions to Kubernetes that use custom resources to manage applications and their components.

Kubernetes Owners and Dependents

Relationship between API objects where one object owns another, used for cascading deletion and orphan handling.

Kubernetes Selectors

Label query over a set of resources, used for identifying and grouping API objects based on their labels.

Kubernetes Version Lifecycle

Policies and timelines for Kubernetes version releases, support, and deprecation, guiding upgrade planning.

Kubernetes Virtual Clusters

Fully functional Kubernetes clusters running on top of other Kubernetes clusters, enabling multi-tenancy.

Kubesec.io for Kubernetes Manifests Scanning

Web-based tool for security risk analysis of Kubernetes resource manifests, identifying vulnerabilities.

Kustomize

Kubernetes native configuration management tool that allows customization of YAML manifests without templating.

Kustomize Overlays

Technique in Kustomize for creating variations of a common base of Kubernetes resources, enabling environment-specific configs.

Kustomize Patches

Method in Kustomize for modifying existing Kubernetes resources without directly editing the original YAML files.

Lacework for Container Compliance

Cloud security platform providing compliance monitoring and threat detection for containerized environments.

Layer

Unit of a container image representing a set of files or changes, crucial for image building and optimization.

Layered File System

Storage mechanism used by container runtimes, allowing efficient storage and quick updates of container images.

Leader Election Pattern

Design pattern ensuring only one instance of a distributed application component is active at a time.

Leader Election in Operators

Process where multiple instances of an operator elect a leader to prevent conflicts in resource management.

Least Privilege Principle

Security concept of giving a user or process only the minimum levels of access necessary to perform its function.

Lens IDE for Kubernetes

User-friendly, open-source IDE for managing Kubernetes clusters, providing a unified interface for multiple clusters.

Lightstep

Observability platform providing insights into the behavior of highly distributed software systems and microservices.

Limit Ranges

Kubernetes policy for constraining resource allocations (CPU and memory) for pods or containers in a namespace.

LimitRange

Kubernetes object defining the min, max, and default compute resources for pods and containers in a namespace.

Linkerd

Lightweight service mesh for Kubernetes, providing observability, reliability, and security for microservices.

Linkerd Data Plane

Component of Linkerd responsible for proxying traffic between services, implementing service mesh functionality.

Linkerd Service Profiles

Linkerd resource providing service-specific traffic metrics and control, enhancing observability and management.

Linkerd's Ultra-lightweight Proxy

High-performance, minimal-footprint proxy used in Linkerd's data plane for efficient service mesh operations.

Linux Security Modules (LSM)

Framework allowing various security models to be plugged into the Linux kernel, enhancing container isolation.

Load Balancer Integration

Process of connecting external load balancers with Kubernetes services for distributing incoming traffic.

Load Balancing Algorithms

Methods used by load balancers to distribute traffic across multiple container instances or pods.

LoadBalancer

Kubernetes service type that provisions an external load balancer in cloud environments for routing external traffic to services.

Local Persistent Volumes

Kubernetes volume type for locally attached storage, providing high-performance storage options for stateful workloads.

Locality Load Balancing

Technique for routing traffic to geographically or topologically closer endpoints in distributed container deployments.

Log Aggregation Patterns

Techniques for collecting, processing, and storing logs from distributed containerized applications for centralized analysis.

Logging Architecture

Design of systems for capturing, storing, and analyzing logs from containers and orchestration platforms.

Loki

Horizontally-scalable, multi-tenant log aggregation system designed for use with Prometheus and Kubernetes.

Longhorn

Cloud-native distributed block storage system for Kubernetes, providing persistent storage for stateful workloads.

Longhorn Distributed Block Storage

Implementation of Longhorn for providing resilient, replicated block storage in Kubernetes clusters.

Materialized View Pattern

Technique for precomputing and storing query results, improving performance in microservices architectures.

Memory Pressure

Condition where a node or container is running low on available memory, potentially triggering evictions or OOM kills.

Mesh Expansion

Process of extending service mesh capabilities to workloads running outside the primary container orchestration platform.