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

I/O Throughput

Measure of the amount of data processed by a system's input/output operations in a given amount of time.
DevOps

IAST

Interactive Application Security Testing; security testing methodology that analyzes code for security vulnerabilities while the app is run.
DevOps

IDE

Integrated Development Environment; software application that provides comprehensive facilities to computer programmers for software development.
DevOps

IIS Log Viewer

Tool for analyzing and troubleshooting logs from Microsoft Internet Information Services.
DevOps

IIS Server

Microsoft's web server for hosting websites, web applications, and services on Windows operating systems, offering various features and security options.
DevOps

IOPS (Input/Output Operations per Second)

Performance measurement for storage devices, indicating how many read/write operations can be performed in one second.
DevOps

IT Infrastructure

Composite hardware, software, network resources, and services required for the existence, operation, and management of an enterprise IT environment.
DevOps

IT Operations

Daily work of managing the IT infrastructure and systems that support an organization's business operations.
DevOps

IT Operations Management (ITOM)

Practices and processes for operating, administering, and maintaining IT infrastructure and services.
DevOps

ITSI

IT Service Intelligence; uses machine learning for monitoring, anomaly detection, and service health.
DevOps

IaC (Infrastructure as Code)

Infrastructure as Code; managing and provisioning infrastructure through code instead of manual processes.
DevOps

IaaS (Infrastructure-as-a-Service)

Infrastructure as a Service; cloud-computing service in which compute, storage, and networking resources are provided on-demand.
DevOps

Icinga

Open source monitoring system checking availability and performance of network resources.
DevOps

Identity and Access Management (IAM)

Framework of policies and technologies for ensuring that the right users have the appropriate access to resources.
DevOps

Improper Assets Management

Security issue where an organization fails to properly inventory, update, and manage its IT assets.
DevOps

Incident

Any unplanned interruption or reduction in quality of a service, requiring prompt response and resolution to minimize impact.
DevOps

Incident Management

Structured approach to responding to and resolving IT service disruptions, minimizing their impact on business operations.
DevOps

Incident Prozess

The Incident Prozess involves identifying, managing, and resolving unexpected disruptions to restore normal service, minimizing impact and preventing recurrence.
DevOps

Incident Response

Organized approach to addressing and managing the aftermath of a security breach or attack.
DevOps

Indicators of Compromise (IoC)

Pieces of forensic data that identify potentially malicious activity on a network or system.
DevOps

InfluxDB

Open-source time series database designed to handle high write and query loads, often used for monitoring and metrics.
DevOps

Information Security Management

Set of policies and procedures for systematically managing an organization's sensitive data.
DevOps

Infrastructure

Composite of all DevOps components that make up an organization's environment, including hardware, software, and networking.
DevOps

Infrastructure Drift

Unplanned changes to infrastructure over time, deviating from the desired state.
DevOps

Infrastructure Management (IM)

Process of managing essential operation components, such as policies, processes, equipment, data, human resources, and external contacts.
DevOps

Infrastructure Metrics

Measurements used to assess the performance, health, and efficiency of IT infrastructure components.
DevOps

Infrastructure Monitoring

Process of collecting and analyzing data from infrastructure to ensure optimal performance.
DevOps

Infrastructure Resilience

Ability of IT infrastructure to withstand and recover from disruptions and disasters.
DevOps

Infrastructure as Code (IaC)

Managing and provisioning infrastructure through code instead of manual processes. Enables version control, automation, and consistent environments.
DevOps

Infrastructure as Code (IaC) Framework

Set of tools and practices for managing infrastructure through machine-readable definition files.
DevOps

Infrastructure as Data

Approach to infrastructure management where the desired state is described as data, not procedural code.
DevOps

Infrastructure as Software

Treating infrastructure configuration and management as a software development problem.
DevOps

Infrastructure on Demand

Ability to provision and de-provision infrastructure resources as needed, often in cloud environments.
DevOps

Infrastructure-as-a-Service (IaaS)

Cloud computing model providing virtualized computing resources over the internet. Users can rent servers, storage, networks, and operating systems.
DevOps

Ingress Controller

Kubernetes resource managing external access to services in a cluster, typically HTTP.
DevOps

Injection

Security vulnerability where untrusted data is sent to an interpreter as part of a command or query.
DevOps

Insecure Deserialization

Security vulnerability occurring when untrusted data is used to abuse the logic of an application.
DevOps

Insecure Direct Object Reference (IDOR)

Security flaw allowing attackers to bypass authorization and access resources directly by modifying the value of a parameter.
DevOps

Instance

Single copy of a running computer program, often referring to a virtual server in cloud computing.
DevOps

Insufficient Logging & Monitoring

Security weakness where systems lack adequate logging and real-time monitoring, hindering threat detection and forensics.
DevOps

Integration Testing

Phase in software testing where individual modules are combined and tested as a group.
DevOps

Intelligent Automation

Use of AI and machine learning to automate complex business processes and decisions.
DevOps

Interactive Application Security Testing (IAST)

Security testing tool that combines static and dynamic testing methods to detect vulnerabilities in running applications.
DevOps

Internal Developer Platform (IDP)

Set of tools and practices that improve developer experience and productivity within an organization.
DevOps

Internal Threat Intelligence

Process of gathering, analyzing, and disseminating information about potential internal security threats.
DevOps

Inventory Hoarding

Excessive accumulation of IT resources, often in cloud environments, leading to waste and inefficiency.
DevOps

Ionic

Open-source SDK for developing hybrid mobile applications using web technologies.
DevOps

Issue Tracking

Process of recording and following the progress of problems or tasks in a project.
DevOps

Iterations

Fixed time periods in Agile development during which a team completes a set amount of work.
DevOps

JVM Heap

Portion of memory where the Java Virtual Machine stores objects, crucial for application performance and garbage collection processes.
DevOps

JVM Threads

Lightweight processes within the Java Virtual Machine that allow concurrent execution of tasks in Java applications.
DevOps

Jamstack

Web development architecture based on client-side JavaScript, reusable APIs, and prebuilt Markup.
DevOps

Jcloud

Java library providing a multi-cloud abstraction layer, simplifying cloud platform interactions.
DevOps

Jenkins

Open-source automation server that enables developers to build, test, and deploy their software reliably.
DevOps

Jenkins Job

Runnable task configured in Jenkins, defining a series of related steps to be executed.
DevOps

Jenkins Pipeline

Suite of plugins supporting implementation and integration of continuous delivery pipelines into Jenkins.
DevOps

Jest

JavaScript testing framework designed to ensure correctness of any JavaScript codebase.
DevOps

Jetpack Compose

Modern toolkit for building native Android UI, using a declarative and composable approach.
DevOps

Jira

Project management tool used for issue tracking, bug tracking, and agile project management.
DevOps

Juju

Open-source application modeling tool for deploying, configuring, scaling, and operating software.
DevOps

KISS (Keep it simple, stupid)

Design principle stating that systems perform best when kept simple rather than made complicated.
DevOps

Kafka

Distributed event streaming platform capable of handling trillions of events a day.
DevOps

Kaizen

Japanese business philosophy of continuous improvement of working practices and personal efficiency.
DevOps

Kanban

Visual system for managing work as it moves through a process, emphasizing continuous delivery.
DevOps

Kanban Board

Visual representation of work items as they progress through different stages of a process.
DevOps

Kata

Programming exercise aimed at honing coding skills through practice and repetition, often used in coding dojos and training sessions.
DevOps

Keystroke Loggers

Software or hardware that records keyboard inputs, often used maliciously to capture sensitive information.
DevOps

Kibana

Data visualization and exploration tool for Elasticsearch, allowing users to create interactive dashboards and analyze large volumes of data.
DevOps

Kickstart

Method of performing automatic installation and configuration of operating systems, particularly in Linux.
DevOps

Kubernetes

Open-source system for automating deployment, scaling, and management of containerized applications.
DevOps

Kubernetes (K8s)

Alternative abbreviation for Kubernetes, where 8 replaces the eight letters between K and s.
DevOps

Kubernetes (Ks)

Alternate abbreviation for Kubernetes, the open-source container orchestration platform for automating application deployment and scaling.
DevOps

Kubernetes Cronjobs

Kubernetes object for creating recurring scheduled tasks, allowing automated execution of jobs at specified intervals.
DevOps

Kubernetes Monitoring

Observing and tracking the health, performance, and resource usage of Kubernetes clusters and applications.
DevOps

Kubernetes Operator

Method of packaging, deploying, and managing a Kubernetes application using custom resources and controllers.
DevOps

Kubernetes Pod

Smallest deployable unit in Kubernetes, consisting of one or more containers sharing storage and network resources.
DevOps

Kubernetes QoS

Quality of Service classes in Kubernetes that determine how pods are scheduled and evicted based on resource requirements.
DevOps

Kubernetes Replica

Identical copy of a pod, used to ensure specified number of pod instances are running at any given time.
DevOps

Kubernetes Workloads

Objects in Kubernetes that manage a set of pods, such as Deployments, StatefulSets, and DaemonSets.
DevOps

Lack of Resources

Insufficient tools, infrastructure, skills, or personnel needed to implement and maintain efficient CI/CD pipelines and automation processes.
DevOps

Largest Contentful Paint (LCP)

Metric measuring the render time of the largest image or text block visible within the viewport.
DevOps

Lead Time

Time between the initiation and completion of a process, often used in software development to measure efficiency.
DevOps

Lead Time for Changes

Metric measuring the time it takes for a commit to be deployed to production, indicating the efficiency of the development process.
DevOps

Leaking API

API that unintentionally exposes sensitive data or functionality, potentially leading to security vulnerabilities and data breaches.
DevOps

Lean

Methodology aimed at maximizing customer value while minimizing waste, applicable to various industries including software development.
DevOps

Lean IT

Application of lean manufacturing principles to IT operations, focusing on eliminating waste and improving efficiency in IT processes.
DevOps

Legacy Application

Outdated computer system, programming language or application software that is still in use.
DevOps

Linux

Open-source, Unix-like operating system kernel that forms the basis of many popular distributions, known for its stability and flexibility.
DevOps

Linux Out of Memory Killer (OOM Killer)

Linux kernel process that terminates applications in low memory situations to prevent system crashes.
DevOps

Load Balancer

Device that distributes network or application traffic across multiple servers to ensure no single server bears too much demand.
DevOps

Load Balancing

Process of distributing network traffic across multiple servers to ensure no single server bears too much demand.
DevOps

Local File Inclusion (LFI)

Vulnerability allowing an attacker to include files on a server through the web browser.
DevOps

Log Aggregation

Process of collecting and centralizing log data from multiple sources into a single, searchable repository for analysis and monitoring.
DevOps

Log Analysis

Process of examining log files to identify events, patterns, or anomalies, crucial for troubleshooting and security monitoring.
DevOps

Log Drain

Process of forwarding log data from its origin to a centralized log management system.
DevOps

Log Every Change

Practice of recording all modifications made to a system or application, crucial for auditing and troubleshooting.
DevOps

Log File

Record of events occurring within an organization's systems and networks, crucial for troubleshooting and security analysis.
DevOps

Log Levels

Categories used to distinguish the importance and nature of logged messages, aiding in log analysis and troubleshooting.
DevOps

Log Management

Process of collecting, storing, analyzing, and disposing of log data generated by various IT systems and applications.
DevOps

Log Management Policy

Set of guidelines and procedures governing the collection, storage, analysis, and retention of log data within an organization.
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.

Cloud-Based Robot Operating System (ROS)

Cloud-hosted version of ROS, providing robotics middleware and tools as a service.

Cloud-Based Robot Simulation

Platforms for simulating and testing robotic systems using cloud computing resources.

Cloud-Based Spatial Audio

Services for processing and rendering 3D audio experiences using cloud computing resources.

Cloud-Connected Industrial Robots

Factory automation systems leveraging cloud resources for data processing, analytics, and remote management.

Cloud-Enabled Autonomous Navigation

Systems using cloud computing to enhance navigation capabilities of autonomous vehicles or robots.

Cloud-Integrated Storage

Systems using cloud computing to enhance navigation capabilities of autonomous vehicles or robots.

Cloud-Native ACID Transactions

Implementations of ACID properties for database transactions in distributed cloud environments.

Cloud-Native Application Protection Platform (CNAPP)

Integrated security solutions designed to protect cloud-native applications throughout their lifecycle.

Cloud-Native Debugging Tools

Specialized software for identifying and resolving issues in cloud-native applications and microservices.

Cloud-Native Deep Learning

Frameworks and services optimized for training and deploying deep learning models in cloud environments.

Cloud-Native FPGAs and ASICs

Specialized hardware accelerators optimized for cloud-native workloads and accessible as cloud services.

Cloud-Native Firewalls

Network security tools designed specifically for protecting cloud-native applications and infrastructure.

Cloud-Native Hardware Security Module (HSM)

Cloud-based services providing hardware-level encryption key management and cryptographic operations.

Cloud-Native IDEs

Integrated development environments optimized for building and deploying cloud-native applications.

Cloud-Native Jupyter Notebooks

Interactive computing environments for data analysis and machine learning, designed for cloud deployment.

Cloud-Native Load Balancing

Traffic distribution services designed specifically for cloud-native applications and microservices architectures.

Cloud-Native Network Functions (CNF)

Virtualized network services designed to run in containerized environments, optimized for cloud infrastructure.

Cloud-Native Network Functions (CNFs)

Network services built as microservices, optimized for deployment in cloud-native environments.

Cloud-Native Reinforcement Learning Environments

Scalable platforms for training AI agents using reinforcement learning algorithms in cloud environments.

Cloud-Native Security Information and Event Management (SIEM)

SIEM solutions designed for collecting and analyzing security data from cloud-native applications.

Cloud-Native Security Orchestration

Automated coordination of security tools and processes in cloud-native environments.

Cloud-Native Transformation

Process of redesigning applications and infrastructure to fully leverage cloud-native technologies and practices.

Cloud-Powered Brain-Computer Interfaces

BCI systems that use cloud computing for data processing and AI-driven interpretation of brain signals.

Cloud-agnostic Architecture

Design approach for building applications that can run on multiple cloud platforms without significant modifications.

Cloud-based AI Chipset Virtualization

Technology enabling virtual access to specialized AI hardware accelerators in the cloud.

Cloud-based Augmented Reality (AR)

Services for processing and delivering AR experiences using cloud computing resources.

Cloud-based Cognitive Architectures

Frameworks for building AI systems that mimic human cognitive processes using cloud resources.

Cloud-based Cryptocurrency Mining

Using cloud computing resources to perform complex calculations required for mining digital currencies.

Cloud-based IoT Platforms

Managed services for connecting, monitoring, and controlling Internet of Things devices using cloud infrastructure.

Cloud-based Robotic Process Automation (RPA)

Services for automating repetitive tasks and workflows using software robots hosted in the cloud.

Cloud-based Visual Programming Environments

Platforms offering drag-and-drop interfaces for creating applications without traditional coding, hosted in the cloud.

Cloud-native AI Development

Practices and tools for building, training, and deploying AI models optimized for cloud environments.

Cloud-native GPU Programming

Techniques and tools for leveraging cloud-based GPUs to accelerate computational tasks in cloud-native applications.

Cloud-to-Cloud Migration

Process of moving applications and data from one cloud provider to another, optimizing for cost, performance, or features.

Cloud-to-Edge-to-Fog Seamless Integration

Unified computing paradigm combining cloud, edge, and fog computing for optimal data processing and latency.

CloudFormation (AWS)

Infrastructure-as-Code service for defining and provisioning AWS infrastructure using declarative templates.

CloudFormation Designer

Visual tool for creating, viewing, and modifying AWS CloudFormation templates, simplifying infrastructure-as-code development.

Cloudlets

Small-scale cloud data centers located at the edge of the network to support low-latency applications.

CoAP Protocol

Lightweight application layer protocol designed for constrained devices in Internet of Things (IoT) environments.

Cold Start

Delay in executing serverless functions when they haven't been used recently and need to be initialized.

Collaborative Cloud Robotics

Multiple robots working together, leveraging cloud resources for coordination and shared learning.

Collaborative Data Modeling

Cloud-based tools enabling teams to jointly design and refine data models for applications.

Collaborative Data Science Environments

Cloud platforms supporting team-based data analysis, model development, and knowledge sharing.

Collaborative Filtering at Scale

Cloud-based recommendation systems processing large datasets to suggest items based on user preferences.

Columnar Storage

Database storage format optimized for analytical queries in cloud data warehouses.

Command Query Responsibility Segregation (CQRS)

Architectural pattern separating read and write operations in cloud-based applications.

Complex Event Processing (CEP)

Real-time analysis of data streams to identify and respond to specific patterns or events in cloud environments.

Compliance Frameworks

Standardized guidelines for ensuring cloud systems meet regulatory requirements (e.g., GDPR, HIPAA, PCI DSS).

Compliance Frameworks (GDPR, HIPAA, PCI DSS, etc.)

Regulatory standards guiding data protection and security practices in cloud computing.

Compliance Monitoring

Continuous assessment of cloud systems and practices to ensure adherence to regulatory standards.

Composable Infrastructure as a Service

Cloud service allowing dynamic assembly of virtualized compute, storage, and networking resources.

Computational Storage

Storage devices with built-in processing capabilities, enabling data processing within the storage subsystem.

Computational Storage Devices

Storage hardware with integrated computing resources for in-situ data processing in cloud environments.

Computer Vision

AI technology that enables machines to interpret and understand visual information from images or videos.

Computer Vision APIs

Cloud services offering pre-built models and tools for image and video analysis tasks.

Concurrency

Simultaneous execution of multiple computations or processes in cloud environments.

Confidential Computing

Technology protecting data in use by performing computation in a hardware-based trusted execution environment.

Confidential Computing Enclaves

Isolated environments in cloud infrastructure for secure processing of sensitive data.

Configuration Drift Detection

Monitoring and identifying unintended changes in cloud resource configurations over time.

Consortium Blockchain

Permissioned blockchain network operated by a group of organizations in a cloud environment.

Container Instances (e.g., Amazon ECS, Azure Container Instances)

Serverless compute platforms for running containers without managing the underlying infrastructure.

Container Networking

Optimizing container resource allocations to improve efficiency and reduce costs in cloud environments.

Container Rightsizing

Technologies and practices for managing network connectivity between containerized applications in the cloud.

Container Runtime Security

Tools and practices for protecting containerized applications during execution in cloud environments.

Container Security

Measures and tools for protecting containerized applications and their data in cloud environments.

Context-Aware Cloud Interfaces

User interfaces that adapt based on user context, device capabilities, and environmental factors.

Continuous Adaptive Risk and Trust Assessment (CARTA)

Dynamic approach to security that continuously analyzes and adapts to changing risks in cloud environments.

Continuous Cloud Security Posture Management

Ongoing process of assessing and improving security risks in cloud infrastructure configurations.

Continuous Compliance Monitoring and Reporting

Automated, real-time tracking and reporting of compliance status for cloud resources and applications.

Continuous Data Testing

Ongoing validation of data quality, integrity, and consistency in cloud-based data pipelines and storage systems.

Continuous Deployment

Automated process of releasing code changes to production environments in cloud infrastructure.

Continuous Integration/Continuous Deployment (CI/CD) in the Cloud

Automated pipeline for building, testing, and deploying applications in cloud environments.

Continuous Optimization

Ongoing process of improving cloud resource utilization, performance, and cost-efficiency.

Continuous Profiling

Constant monitoring and analysis of application performance in cloud environments to identify bottlenecks.

Continuous Rightsizing

Ongoing process of adjusting cloud resource allocations to match actual usage and demand.

Continuous Training

Automated process of regularly updating machine learning models with new data in cloud environments.

Continuous Verification

Ongoing process of validating cloud infrastructure and applications against defined policies and configurations.

Cost Allocation

Process of distributing cloud expenses across different departments, projects, or cost centers within an organization.

Cost Anomaly Detection

Automated identification of unusual or unexpected patterns in cloud spending, helping optimize resource allocation and budgeting.

Cost Attribution

Associating cloud expenses with specific resources, services, or business units for accurate accounting.

Cost Explorer

Tool for visualizing and analyzing cloud spending patterns and trends, helping optimize resource allocation and budgeting.

Cost Optimization Recommendations

Automated suggestions for reducing cloud expenses while maintaining performance and reliability.

Cost-aware Autoscaling

Intelligent scaling of cloud resources considering both performance requirements and cost implications.

Cross-Border Data Transfer Compliance

Ensuring cloud data transfers comply with international data protection regulations.

Cross-Cloud Data Replication

Synchronizing data across multiple cloud providers for redundancy and disaster recovery.

Cross-Cloud Smart Contracts

Blockchain-based agreements executable across different cloud platforms, enabling multi-cloud decentralized applications.

Cross-Platform Cloud Native Runtimes

Execution environments for cloud-native applications that work across multiple cloud providers.

Cryptographic Key Management

Services for securely generating, storing, and rotating encryption keys in cloud environments.

DDoS Protection

Services defending against Distributed Denial of Service attacks on cloud-based applications and infrastructure.

DNA Data Storage

Experimental technology using DNA molecules to store digital data, potentially leveraging cloud for processing.

DNA-Based Data Storage

Experimental technique using DNA molecules to store digital data, potentially integrated with cloud for processing and retrieval.

DNS in the Cloud

Managed Domain Name System services provided by cloud platforms for translating domain names to IP addresses.

Dapr (Distributed Application Runtime)

Portable runtime for building microservices-based applications across cloud and edge environments.

Dashboards and Visualization

Tools for creating interactive, visual representations of cloud data and metrics.

Data Catalog

Centralized repository for metadata about an organization's data assets in the cloud.

Data Catalogs and Data Discovery

Tools for organizing, indexing, and searching data assets across cloud environments.

Data Classification

Categorizing data based on sensitivity and importance for appropriate handling in cloud storage.

Data Drift Detection

Monitoring changes in data distributions that may affect machine learning model performance in cloud environments.

Data Fabric

Integrated architecture for managing and accessing data across diverse cloud and on-premises environments.

Data Fabric Architecture

Unified data management framework spanning multiple cloud and on-premises environments.

DaemonSet Pattern

Design pattern using DaemonSets to run system daemons or agents on every node in a cluster.

Data Backup and Recovery

Processes and tools for preserving and restoring data in containerized environments, ensuring data durability.

Data Consistency in Distributed Systems

Techniques ensuring data integrity across distributed container-based applications, maintaining reliability.

Data Fabric in Containerized Environments

Distributed data management architecture providing consistent data access across containerized applications.

Data Lakehouse Architecture

Unified data architecture combining data lake and data warehouse features in containerized environments.

Data Migration Between Containers

Process of moving data between containers or from traditional systems to containerized applications.

Data Persistence Strategies

Techniques for maintaining data across container lifecycles, including volume mounts and persistent volumes.

Data Plane

Network layer responsible for forwarding container traffic based on control plane decisions.

Data Replication in Containers

Techniques for creating and maintaining copies of data across multiple containerized instances.

Data Sharding in Containerized Databases

Partitioning data across multiple database containers for improved scalability and performance.

Database Containerization

Process of running database systems within containers for improved portability and resource utilization.

Database-per-Service Pattern

Microservices design pattern where each service has its own dedicated database, ensuring data isolation.

Datadog Container Monitoring

Platform for observability and monitoring of containerized environments and microservices.

Dead Letter Queue Pattern

Design pattern for handling failed message processing in containerized message-driven systems.

Declarative Deployments

Approach to deploying containers by specifying desired state rather than imperative commands.

Deployment Strategies

Techniques for rolling out container updates, including rolling updates, blue-green, and canary deployments.

Descheduler

Kubernetes component that evicts pods from nodes based on specific policies to optimize cluster resource usage.

DevSpace for Cloud-native Development

Standardized format defining the structure and metadata of Docker container images, ensuring portability.

Device Plugins

Kubernetes feature allowing nodes to advertise system hardware resources to the cluster, enabling specialized hardware use.

Direct Server Return (DSR)

Network optimization technique in container load balancing for improved performance by bypassing the load balancer for responses.

Distributed Tracing Integration

Implementation of tracing in containerized microservices for end-to-end request visibility.

Distributed Tracing with Jaeger

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

Distributed Tracing with OpenTelemetry

Implementation of OpenTelemetry for standardized observability in containerized environments.

Distroless Images

Minimal container images containing only the application and its runtime dependencies, reducing attack surface.

Docker Attach

Command to attach local standard input, output, and error streams to a running container for interaction and debugging.

Docker Build Context

Set of files located in the specified PATH or URL, used during the docker build process to create images.

Docker Buildx

Docker CLI plugin for extended build capabilities, including multi-platform builds and enhanced build options.

Docker CRI Shim

Component enabling Docker to be used as a container runtime in Kubernetes via the Container Runtime Interface.

Docker Client

Command-line tool for interacting with Docker daemon and managing containers, images, and other Docker objects.

Docker Commit

Command creating a new image from a container's changes, useful for saving modifications made to a running container.

Docker Compose

Tool for defining and running multi-container Docker applications, simplifying the process of managing complex application stacks.

Docker Container Inspection

Process of viewing detailed information about a container's configuration and state, aiding in troubleshooting.

Docker Content Trust

Feature providing digital signing and verification of Docker images, ensuring image authenticity and integrity.

Docker Content Trust Signature Verification

Process of validating the authenticity and integrity of signed Docker images before use.

Docker Contexts

Feature allowing management of multiple Docker endpoints from a single Docker client, simplifying multi-environment management.

Docker Daemon

Background service managing Docker objects like images, containers, networks, and volumes.

Docker Exec

Command allowing users to run a new process inside a running container, useful for debugging and maintenance tasks.

Docker Export/Import

Commands for exporting a container's filesystem as a tarball and importing it as an image.

Docker Hub

Cloud-based repository service for finding and sharing container images, central to the Docker ecosystem.

Docker Image History

Command showing the history of an image's layers, providing insight into how the image was built and modified.

Docker Image Inspection

Process of examining Docker image metadata, including layers, environment variables, and exposed ports.

Docker Image Specification

Standardized format defining the structure and metadata of Docker container images, ensuring portability.

Docker Network

Virtualized network providing connectivity between Docker containers, isolating container traffic from the host network.

Docker Network Driver Types (bridge, host, overlay, macvlan)

Different networking modes in Docker, including bridge, host, overlay, and macvlan, offering varied connectivity options.

Docker Prune

Command for removing unused Docker objects like containers, networks, images, and volumes.

Docker Save/Load

Commands for exporting Docker images to tar archives and importing them back, useful for image transfer and backup.

Docker Scan

Command-line tool for scanning Docker images for vulnerabilities, providing detailed reports on potential security issues.

Docker Shim

Deprecated component that provided CRI compatibility for Docker in Kubernetes, bridging Docker and CRI.

Docker Socket

Unix socket or named pipe used for communication between Docker client and daemon, enabling Docker API access.

Docker Stats

Command displaying a live stream of container resource usage statistics, including CPU, memory, and network I/O.

Docker Swarm

Native clustering and orchestration solution for Docker, allowing you to create and manage a swarm of Docker nodes as a single virtual system.

Docker System Events

Real-time stream of Docker daemon events, providing insights into container, image, volume, and network activities.

Docker Top

Command displaying the running processes of a container, similar to the Unix top command but container-specific.

Docker Volume

Persistent data storage mechanism for containers, independent of container lifecycle, enabling data persistence.

Docker Volume Driver Types

Different storage backends for Docker volumes, including local, NFS, and cloud-specific drivers.

Dockerfile

Text document containing all the commands a user could call on the command line to assemble a Docker image.

Dockerfile ARG

Instruction defining build-time variables that users can pass at build-time to the builder.

Dockerfile Best Practices

Guidelines for creating efficient, secure, and maintainable Dockerfiles, optimizing image builds and runtime performance.

Dockerfile HEALTHCHECK

Instruction telling Docker how to test a container to check its health status, improving reliability.

Dockerfile Instructions (ADD, COPY, RUN, CMD, ENTRYPOINT, etc.)

Set of commands used in Dockerfiles to build images, including ADD, COPY, RUN, CMD, and ENTRYPOINT.

Dockerfile ONBUILD

Set of commands used in Dockerfiles to build images, including ADD, COPY, RUN, CMD, and ENTRYPOINT.

Dockerfile STOPSIGNAL

Instruction setting the system call signal that will be sent to the container to exit, customizing shutdown behavior.

Dockerignore

File specifying which files and directories should be excluded when building a Docker image.

Domain-Driven Design (DDD) in Microservices

Approach to software design focusing on the core domain in containerized microservices architectures.

Dragonfly for P2P Image Distribution

P2P-based image and file distribution system to improve efficiency of image downloads in container environments.

Drain

Process of cordoning a node and evicting its pods in preparation for maintenance or decommissioning.

Dual-stack Networking

Networking configuration supporting both IPv4 and IPv6 in container environments, enabling broader connectivity options.

Dynamic Admission Control

Kubernetes feature allowing custom logic to be applied to object creation or modification requests.

Dynamic Auditing

Kubernetes feature enabling runtime configuration of audit policies without API server restart.

Dynamic Provisioning

Automatic creation of storage when persistent volume claims are made in Kubernetes, simplifying storage management.

Dynatrace OneAgent

Monitoring solution for containerized environments, providing deep visibility into application performance.

ELK Stack (Elasticsearch, Logstash, Kibana)

Combination of Elasticsearch, Logstash, and Kibana for logging and monitoring containerized environments.

East-West Traffic

Network communication between containers or services within the same cluster or data center.

Edge AI/ML

Deployment of artificial intelligence and machine learning models on edge devices using containers.

Edge Analytics

Processing and analyzing data at the network edge using containerized analytics applications.

Edge Device Management

Tools and practices for managing containerized workloads on edge devices, ensuring consistent deployment and updates.

Edge Orchestration

Management and coordination of containerized applications across distributed edge locations.

Edge Security

Security measures and practices specific to containerized edge computing environments, protecting distributed workloads.

Edge Workload Scheduling

Techniques for efficiently distributing containerized workloads across edge devices, optimizing resource usage.

Edge-Cloud Syncing

Synchronization of data and state between edge containers and cloud-based systems, ensuring consistency.

Egress Gateway

Component controlling outbound traffic from a container cluster to external services, enhancing security and traffic management.

Egress Gateways

Service mesh components managing outbound traffic from the mesh to external services, providing fine-grained control.

Egress Traffic Control

Management and policies for outbound network traffic from containers, ensuring security and compliance.

Elastic APM

Application Performance Monitoring tool for containerized applications in the Elastic Stack.

Encrypted Secrets

Sensitive data stored in an encrypted form in container orchestration platforms, enhancing security.

End-to-End Testing

Comprehensive testing of containerized applications from start to finish, validating entire system functionality.

EndpointSlices

Kubernetes API resource providing a more scalable alternative to Endpoints for service discovery.

Environment Variables in Containers

Key-value pairs passed to containers at runtime, used for configuration and runtime behavior control.

Envoy Proxy

High-performance proxy often used in service mesh implementations for containerized environments.

Ephemeral Containers

Temporary containers used for troubleshooting or debugging in Kubernetes pods, without affecting the main containers.

Ephemeral Volumes

Short-lived storage volumes in Kubernetes that share the lifecycle of a pod, useful for temporary data storage.

Equal-Cost Multi-Path (ECMP)

Routing strategy for load balancing network traffic across multiple paths in container networks.

Etcd

Distributed key-value store that provides a reliable way to store data across a cluster of machines.

Event Sinks

Destinations for cluster-level events in container orchestration platforms, used for monitoring and alerting.

Event Sources

Components or services generating events in containerized environments, often used in event-driven architectures.

Event Sourcing

Pattern of storing changes to application state as a sequence of events, often used in microservices architectures.

Event Sourcing Pattern

Design pattern capturing all changes to application state as a sequence of events, useful in distributed systems.

Event Sourcing in Containers

Implementation of event sourcing pattern in containerized microservices architectures, ensuring data consistency.

Event-driven Architectures

Design approach where containerized services produce, detect, and react to events, enabling loose coupling and scalability.

Eviction Policies

Rules determining which pods to terminate when a node is under resource pressure in Kubernetes clusters.