Engineering Glossary

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

DevOps
Cloud Computing
Git
Containerization & Orchestration

Behaviour-Driven Design

Approach to software design that focuses on defining system behavior through examples and scenarios.
DevOps

Bento

Lightweight Docker-based development environments for PHP applications, simplifying local development setup.
DevOps

Berkshelf

Dependency manager for Chef cookbooks, simplifying the process of managing and versioning cookbook dependencies.
DevOps

Beta Testing

Pre-release testing phase where a sample of the intended audience tries the product to uncover any bugs or issues.
DevOps

Bitbucket

Web-based version control repository hosting service for Git and Mercurial projects, owned by Atlassian.
DevOps

Black Box Testing

Testing method where the internal structure/design of the item being tested is not known to the tester.
DevOps

Blameless Postmortem

Process of analyzing incidents or failures without assigning blame, focusing on learning and improvement.
DevOps

Blast Radius

Extent of damage or impact that could result from a failure or security breach in a system.
DevOps

Blue Green Deployment

Technique for releasing applications by shifting traffic between two identical environments running different versions.
DevOps

Blue Team

Group responsible for defending against and responding to cyber attacks in an organization.
DevOps

Bot Attack

Automated attempt by malicious actors to compromise systems or steal data using software programs (bots).
DevOps

Bot Management Tools

Solutions designed to detect, prevent, and mitigate bot-related threats to websites and applications.
DevOps

Bots

Automated software applications that run scripted tasks, often used in both beneficial and malicious contexts.
DevOps

Bottleneck

Point in a system where the flow of data or processes is constrained, limiting overall system performance.
DevOps

Bounded Context

Core concept in Domain-Driven Design, defining the limits within which a particular model is applicable.
DevOps

Branching

Creating a divergent copy of source code to develop features or fix bugs without affecting the main codebase.
DevOps

Broken Access Control

Security vulnerability where restrictions on authenticated users are not properly enforced.
DevOps

Broken Authentication

Security flaw allowing attackers to compromise passwords, keys, or session tokens to assume user identities.
DevOps

Broken Function Level Authorization

Vulnerability where an application does not restrict function access to appropriate users.
DevOps

Broken Object Level Authorization

Security issue where an application does not verify if the user has permission to access a specific object.
DevOps

Broken User Authentication

Security vulnerability where flaws in the authentication process allow unauthorized access to user accounts.
DevOps

Brooklyn

Framework for modeling, deploying, and managing distributed applications across cloud environments.
DevOps

Bucket

Container for storing objects in cloud storage services like Amazon S3 or Google Cloud Storage.
DevOps

Bug Bounty Program

Initiative offering rewards to individuals for discovering and reporting software bugs or vulnerabilities.
DevOps

Build

Process of converting source code files into standalone software artifacts that can be run on a computer.
DevOps

Build Agent

Component in a CI/CD system that executes build and test processes on behalf of the build server.
DevOps

Build Artifact Repository

Central storage location for managing and distributing software build outputs and dependencies.
DevOps

Build Automation

Process of scripting or automating the creation of compiled code and related processes.
DevOps

Build Cache

Mechanism to store and reuse the output of previous build steps to speed up subsequent builds.
DevOps

Build Pipelines

Automated processes for compiling, testing, and deploying code changes through various stages.
DevOps

Build Service

System that automates the process of compiling source code into executable programs.
DevOps

Build System

Set of tools and processes used to compile, assemble, and package software from source code.
DevOps

BuildMaster

Application release automation platform for creating and managing software delivery pipelines.
DevOps

Buildbot

Continuous integration framework written in Python, allowing automation of build, test, and release processes across multiple platforms.
DevOps

Business Acceptance

Process of verifying that a software solution meets the business requirements and is ready for use.
DevOps

Business Analytics (BA)

Practice of iterative exploration of an organization's data to gain insights and drive business planning.
DevOps

Business Intelligence (BI)

Technologies and practices for collecting, integrating, analyzing, and presenting business information.
DevOps

Business Logic Attack

Exploitation of flaws in the business logic of an application to perform unauthorized actions.
DevOps

CALMS Model

Framework for DevOps culture emphasizing Collaboration, Automation, Lean, Measurement, and Sharing.
DevOps

CASB

Cloud Access Security Broker; software that mediates between cloud service users and cloud applications.
DevOps

CD Pipeline

Continuous Delivery Pipeline; automated system for moving code changes through build, test, and deployment stages.
DevOps

CI Pipeline

Continuous Integration Pipeline; automated sequence of steps for building, testing, and validating code changes.
DevOps

CI Service

System that automates the integration of code changes from multiple contributors into a single software project.
DevOps

CI/CD (Continuous Integration and Continuous Delivery)

Continuous Integration and Continuous Delivery; practices of frequently integrating code changes and delivering to production.
DevOps

CI/CD Server

Platform that facilitates the automation of building, testing, and deploying code changes.
DevOps

CLI (Command Line Interface)

Command Line Interface; text-based interface for interacting with computer programs or operating systems.
DevOps

CMB (Cloud Message Bus)

Messaging infrastructure that enables communication between different parts of a cloud-based application.
DevOps

CPU Limit

Restriction on the amount of processing power allocated to a particular process or container.
DevOps

CRUD (Create, Read, Update and Delete)

Four basic functions of persistent storage, fundamental to database operations and RESTful API design.
DevOps

CaaS

Containers as a Service; cloud-based service that provides container orchestration and management.
DevOps

Cadence

Regular rhythm or pattern of work or processes, often used in the context of software development and release cycles.
DevOps

Canary Deployment

Technique of rolling out changes to a small subset of users before a full deployment.
DevOps

Canary Release

Gradual rollout of new features to a subset of users to test in production with reduced risk.
DevOps

Capacity Test

Performance test to determine how many users or transactions a system can handle before performance degrades.
DevOps

Capistrano

Remote server automation and deployment tool, primarily used for deploying web applications by scripting arbitrary deployment tasks.
DevOps

Certificate Authority (CA)

Trusted entity that issues digital certificates for secure communication over networks.
DevOps

CfEngine

Open-source configuration management system for managing large numbers of computers.
DevOps

Chain of Custody

Documentation of the movement and handling of evidence in security incidents or investigations.
DevOps

Change Failure Rate

Percentage of changes to production or released to users that result in degraded service or require remediation.
DevOps

Chaos Engineering

Practice of intentionally introducing failures in a system to test its resilience and identify weaknesses.
DevOps

Chaos Monkey

Tool developed by Netflix to randomly terminate instances in production to test system fault tolerance.
DevOps

Chaos Testing

Deliberate introduction of faults into a system to verify its ability to withstand turbulent conditions.
DevOps

ChatOps

Approach to managing IT operations and workflows through conversation-driven development.
DevOps

Chef

Configuration management tool that uses a pure-Ruby domain-specific language for writing system configurations.
DevOps

Chocolatey

Package manager for Windows, automating software installation, upgrade, and configuration.
DevOps

Clean Code Prinzipien

Set of principles aimed at producing readable, maintainable, and efficient code, promoting software quality and developer productivity.
DevOps

Click Fraud

Fraudulent clicks on pay-per-click advertisements to generate charges for advertisers.
DevOps

Clickjacking

Malicious technique of tricking users into clicking on hidden or disguised elements on a webpage.
DevOps

Client Side Attacks

Security threats that target vulnerabilities in web browsers or other client applications.
DevOps

Cloud Application

Software program where cloud-based and local components work together, primarily processed on remote servers.
DevOps

Cloud Automation

Use of tools and processes to reduce manual efforts in deploying and managing cloud computing workloads.
DevOps

Cloud Computing

Delivery of computing services over the internet, including servers, storage, databases, and software.
DevOps

Cloud Infrastructure

Hardware and software components required to support cloud computing delivery model.
DevOps

Cloud Infrastructure Security

Measures and controls to protect data, applications, and infrastructure associated with cloud computing.
DevOps

Cloud Management

Control and oversight of cloud computing resources, often through automated tools.
DevOps

Cloud Migration

Process of moving data, applications, or other business elements from an on-premises environment to the cloud.
DevOps

Cloud Native Computing Foundation (CNCF)

Organization promoting cloud native technologies and practices to shape the evolution of cloud computing.
DevOps

Cloud Native DevOps

Practices combining cloud native technologies with DevOps principles for faster, more flexible software delivery.
DevOps

Cloud Orchestration

Arrangement and coordination of automated tasks resulting in a consolidated process or workflow.
DevOps

Cloud Security Alliance (CSA)

Organization that defines best practices to help ensure a secure cloud computing environment.
DevOps

Cloud Security Monitoring

Continuous monitoring of cloud-based assets and services to detect security threats and vulnerabilities.
DevOps

Cloud Security Posture Management

Continuous monitoring of cloud infrastructure to identify misconfigurations and compliance risks.
DevOps

Cloud-native

Designed to take full advantage of cloud computing frameworks, beyond simple rehosting in the cloud.
DevOps

Cloud-native Security

Security practices and tools designed specifically for cloud-native applications and infrastructure.
DevOps

CloudWatch

Amazon Web Services' monitoring and observability service for cloud resources and applications.
DevOps

Code All Your Resources

Practice of managing all aspects of infrastructure and operations through code, enabling version control and automation.
DevOps

Code Dependencies

External libraries, modules, or packages that a software project relies on to function properly.
DevOps

Code Injection

Security vulnerability where an attacker inserts malicious code into a vulnerable application.
DevOps

Code Promotion

Process of moving code through various stages of development, testing, and deployment.
DevOps

Code Signing

Process of digitally signing executables and scripts to confirm the software author and guarantee it hasn't been altered.
DevOps

Code-first Workflow

Development approach where code is written before database schemas or other structures are defined.
DevOps

Coding Standards

Set of guidelines for programming style and practices within a project or organization.
DevOps

Cognitive Load

Mental effort required to learn new information or complete tasks, important in user experience design and learning theory.
DevOps

Collectd

System statistics collection daemon that collects, transfers, and stores performance data of computers and network equipment.
DevOps

Common Vulnerabilities and Exposures (CVE)

List of publicly disclosed cybersecurity vulnerabilities, providing a standardized identifier for known issues.
DevOps

Common Weakness Enumeration (CWE)

Comprehensive list of common software and hardware weakness types, serving as a common language for describing security vulnerabilities.
DevOps

Complex-Adaptive System (CAS)

System of interconnected components that can adapt and self-organize in response to changes.
DevOps

Complex-Adaptive Systems

Systems of interconnected components that can adapt and evolve in response to changes in their environment.
DevOps

Compliance

Adherence to laws, regulations, guidelines, and specifications relevant to a business.
DevOps

Compliance Level

Degree to which an organization meets regulatory or industry-specific requirements.
DevOps
@mention

@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

API preview

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

Bare Repository

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

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

Bitbucket Pipelines

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

Blame

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

Blamestorming

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

Branch

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

Branch policies

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

Business plan

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

CA certificate

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

Cache

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

Checkout

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

Cherry-Pick

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

Cherry-picking

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

Clone

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

Code owners file

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

Commit

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

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

Continuous Integration

Practice of merging all developer working copies to a shared mainline several times a day.
DAG (Directed Acyclic Graph)

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

Detach HEAD

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

Diff

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

Downstream

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

Explorer

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

Feature branch workflow

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

Fetch

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

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

Fork

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

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)

GPG (GNU Privacy Guard)

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

Gist

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

Git

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

Git Alias

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

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

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

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

Git Attributes

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

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

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)

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

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

Git Bundle Create/Verify

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

Git Cheat Sheet

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

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

Git Clean

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

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

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

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

Git Commit Templates

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

Git Commit Trailers

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

Git Commit-graph

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

Git Commit-graph Verify

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

Git Commit-tree

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

Git Config

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

Git Count-objects

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

Git Credential Helper

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

Git Daemon

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

Git Dangling Objects

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

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

Git Diff

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

Git Diff Algorithms

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

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

Git Fetch --All

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

Git Filter-branch

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

Git Flow

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

Git Fork

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

Git Fsck

A command that verifies the connectivity and validity of objects in the Git database.
Git Fsck (File System Check)

Git Fsck (File System Check)

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

Git GPG verification

A security feature in Git that uses GPG to sign and verify commits and tags, ensuring authenticity.
Git Garbage Collection (gc)

Git Garbage Collection (gc)

A process that optimizes the Git repository by removing unnecessary files and compressing objects.
Git Gc (Garbage Collection)

Git Gc (Garbage Collection)

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

Git Grep

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

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

Git Hooks

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

Git Ignore

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

Git Index Format

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

Git Init

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

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.)

Git Internals (objects, refs, etc.)

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

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)

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)

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

Git Log

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

Git Maintenance

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

Git Merge Strategies

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

Git Merge Tools

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

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)

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

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

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

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

Git Pack Files

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

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

Git Partial Clone

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

Git Patch

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

Git Plumbing Commands

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

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

Git Protocol

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

Git Prune

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

Data Governance

Policies and processes for ensuring data quality, security, and compliance in cloud environments.

Data Integration as a Service

Cloud-based tools for combining data from various sources into a unified view, enabling comprehensive data analysis.

Data Lake

Centralized repository storing structured and unstructured data at scale in its native format.

Data Lake (e.g., AWS Lake Formation, Azure Data Lake)

Large-scale storage repository for raw data in various formats in cloud environments.

Data Lake Houses

Hybrid architecture combining data lake storage with data warehouse query capabilities in cloud environments.

Data Lineage

Tracking the origin, movement, and transformations of data throughout its lifecycle in cloud systems.

Data Lineage and Provenance Tracking

Monitoring data origins, transformations, and usage across cloud environments for compliance and analysis.

Data Mart

Subset of a data warehouse focused on specific business functions or departments in cloud environments.

Data Masking and Anonymization

Techniques to protect sensitive information by obscuring or replacing identifiable data in cloud storage.

Data Mesh Architecture

Decentralized approach to data management, treating data as a product owned by domain teams in cloud environments.

Data Mesh Platforms

Tools supporting implementation of data mesh principles in cloud-based data architectures.

Data Migration

Process of transferring data between storage types, formats, or systems in cloud environments.

Data Pipeline (e.g., AWS Data Pipeline, Azure Data Factory)

Automated process for extracting, transforming, and loading data between cloud systems or services.

Data Protection Impact Assessment (DPIA)

Systematic analysis of how data processing activities affect privacy in cloud environments.

Data Quality as a Service

Cloud-based tools for assessing, improving, and maintaining the quality of data assets.

Data Residency

Specifying the physical location where cloud-stored data resides for compliance with regulations.

Data Rights Management

Controls for protecting intellectual property and sensitive information in cloud-based data sharing.

Data Science Marketplaces

Platforms for sharing and monetizing data science models and algorithms in the cloud.

Data Science Version Control

Tools for tracking changes and collaborating on data science projects in cloud environments.

Data Skew Handling in Distributed Systems

Techniques for managing uneven data distribution in cloud-based parallel processing.

Data Sovereignty

Concept that data is subject to the laws of the country in which it is stored in cloud environments.

Data Tokenization Services

Cloud-based tools for replacing sensitive data with non-sensitive equivalents for security purposes.

Data Versioning and Time Travel

Capability to access and restore previous versions of data in cloud storage systems.

Data Virtualization

Technology that provides a unified view of data from multiple cloud and on-premises sources without moving it.

Data Visualization

Tools and techniques for creating visual representations of data stored in cloud environments.

Data Warehouse (e.g., Amazon Redshift, Azure Synapse Analytics)

Centralized repository optimized for analytics and business intelligence in cloud environments.

Data Warehousing

Process of collecting, storing, and managing data from varied sources in a central cloud repository for analysis.

Database Auditing

Monitoring and recording database activities in cloud environments for security and compliance purposes.

Database Backup and Restore

Process of creating copies of databases and recovering them in cloud environments for data protection.

Database Caching

Technique to store frequently accessed data in memory for faster retrieval in cloud databases.

Database Encryption

Process of encoding data to protect sensitive information in cloud-based databases.

Database Failover

Automatic switching to a redundant database when the primary system fails in cloud environments.

Database High Availability

Techniques ensuring continuous database operation in cloud environments, minimizing downtime.

Database Migration

Process of moving databases from on-premises or other cloud environments to a target cloud platform.

Database Migration Service

Managed service for migrating databases to cloud platforms with minimal downtime.

Database Performance Tuning

Optimizing database operations for improved speed and efficiency in cloud environments.

Database Proxy

Intermediary service managing connections between applications and cloud databases for improved security and performance.

Database Scaling (Vertical and Horizontal)

Adjusting database resources vertically (more powerful hardware) or horizontally (more instances) in cloud environments.

Database Sharding

Distributing data across multiple database instances for improved performance and scalability in the cloud.

Database Version Upgrades

Process of updating database software to newer versions in cloud environments, improving performance and security.

Database as a Service (DBaaS)

Managed cloud service providing database functionality without the need for infrastructure management.

Dead Letter Queues

Storage for messages that can't be processed successfully in cloud-based message queuing systems.

Decentralized Cloud (Web3)

Distributed cloud computing model leveraging blockchain technology for increased security and user control.

Decentralized Cloud Resource Markets

Blockchain-based platforms for trading compute resources across distributed cloud networks.

Decentralized Identity

Self-sovereign identity management using blockchain technology in cloud environments.

Decentralized Identity Management

Systems for user authentication and authorization using blockchain in cloud environments.

Decentralized Storage

Distributed file storage systems using peer-to-peer networks in cloud computing environments.

Deception Technology in the Cloud

Security approach using decoys to detect, deceive, and deflect attackers in cloud environments.

Deep Learning

Subset of machine learning using neural networks with multiple layers for complex pattern recognition in cloud environments.

Deployment Automation

Tools and practices for automatically releasing and updating applications in cloud environments.

Deployment Manager (Google Cloud)

Service for declaratively managing and deploying cloud resources on Google Cloud Platform.

DevOps Assembly Lines

Automated, end-to-end pipelines for software delivery in cloud environments, streamlining development and deployment processes.

DevOps Culture and Practices

Collaborative approach integrating development and operations teams for efficient cloud-based software delivery.

DevOps Metrics and KPIs

Measurements for assessing the performance and efficiency of DevOps processes in cloud environments.

DevSecOps Automation

Integration of security practices into DevOps processes using automated tools in cloud environments.

DevSecOps Automation Platforms

Integrated tools for implementing security throughout the DevOps lifecycle in cloud environments.

Device Management

Tools and practices for configuring, monitoring, and securing IoT devices connected to cloud platforms.

Device Provisioning

Process of setting up and configuring IoT devices for secure connection to cloud platforms.

Differential Privacy as a Service

Cloud-based tools for adding noise to data to protect individual privacy while maintaining overall accuracy.

Digital Experience Monitoring (DEM)

Tools for tracking and optimizing user interactions with cloud-based applications and services.

Digital Twin Technology

Virtual representations of physical objects or systems, often leveraging cloud resources for simulation and analysis.

Digital Twins

Virtual models of physical assets or processes, often using cloud computing for data processing and simulation.

Digital Twins in the Cloud

Cloud-based virtual representations of physical entities for monitoring, simulation, and optimization.

Direct Connect

Dedicated network connection between on-premises infrastructure and cloud service providers.

Disaggregated Server Architectures

Cloud infrastructure designs separating compute, storage, and networking for flexible resource allocation.

Disaggregated Storage

Cloud storage architecture separating storage management functions from physical storage devices.

Disaster Recovery

Strategies and tools for recovering data and systems after a catastrophic event in cloud environments.

Distributed AI Training

Process of training machine learning models across multiple cloud nodes for improved speed and efficiency.

Distributed Cloud

Cloud services distributed across multiple physical locations but managed centrally.

Distributed Constraint Optimization

Techniques for solving complex problems across multiple cloud nodes while satisfying various constraints.

Distributed Data Science Workflows

Cloud-based systems for running data analysis and machine learning tasks across multiple nodes.

Distributed Deception Platforms

Cloud-based security systems deploying decoys across multiple points to detect and mislead attackers.

Distributed Edge AI Training

Process of training AI models across multiple edge devices and cloud resources, enabling decentralized learning at scale.

Distributed Hyperparameter Optimization

Technique for tuning machine learning models across multiple cloud nodes for improved performance.

Distributed Ledger Orchestration

Managing and coordinating blockchain networks across multiple cloud environments.

Distributed Tracing for Microservices

Tracking and analyzing requests as they flow through cloud-based microservices architectures.

Domain-Specific Languages (DSLs) for Cloud

Specialized programming languages designed for efficient cloud resource management and deployment.

Drift Detection

Monitoring and identifying unauthorized or unintended changes in cloud infrastructure configurations.

Durable Functions (Azure)

Extension of Azure Functions that enables stateful operations in serverless compute environments.

Dynamic Access Control

Adaptive security measures that adjust permissions based on context in cloud environments.

E-Waste Management for Cloud Infrastructure

Responsible disposal and recycling of outdated or decommissioned cloud hardware.

E-Waste Management in Cloud Computing

Strategies for sustainably disposing of and recycling obsolete cloud computing hardware.

ETL (Extract, Transform, Load)

Process of moving data from source systems into a data warehouse in cloud environments.

Eco-Friendly Cloud Migration Strategies

Approaches to moving to the cloud that minimize environmental impact and energy consumption.

Edge AI

Artificial intelligence algorithms running on devices at the network edge, often integrated with cloud backends.

Edge AI Model Compression Techniques

Methods for reducing the size of AI models to run efficiently on edge devices with cloud support.

Edge AI Model Versioning

Managing and updating AI model versions across distributed edge devices and cloud systems.

Edge AI Security

Measures to protect AI models and data on edge devices connected to cloud networks.

Edge AI/ML

Artificial intelligence and machine learning capabilities deployed on edge devices, often with cloud integration.

Edge Analytics

Processing and analyzing data near its source on edge devices before sending insights to the cloud.

Edge Analytics Frameworks

Software platforms for developing and deploying analytics applications on edge devices with cloud connectivity.

Edge Anomaly Detection

Identifying unusual patterns or behaviors in data at the network edge before sending alerts to the cloud.

Edge Caching

Storing frequently accessed data on edge devices or servers to reduce latency and cloud bandwidth usage.

Edge Compute Networking

Network architectures optimized for connecting edge computing devices to cloud resources.

Edge Computer Vision

Processing and analyzing visual data on edge devices before sending results to the cloud.

Edge Content Delivery

Distributing and caching content on edge servers to reduce latency and cloud bandwidth consumption.

Edge Databases

Database systems designed to run on edge devices with intermittent connectivity to cloud backends.

Edge Generative AI

Creating AI-generated content on edge devices with potential cloud-based model updates and synchronization.

Edge Inference Optimization

Techniques to improve AI model performance on edge devices, reducing latency and cloud dependence.

Edge Locations

Distributed sites hosting cloud services closer to end-users for reduced latency and improved performance.

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.