Engineering Glossary

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

DevOps
Git
Cloud Computing
Containerization & Orchestration

Hybrid Cloud

Computing environment that uses a mix of on-premises, private cloud and third-party, public cloud services.
DevOps

Hypothesis-Driven Development

Approach where features are treated as experiments to validate business outcomes.
DevOps

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

Inner Loop vs Outer Loop

Inner loop is local development cycle; outer loop involves CI/CD processes for team collaboration and deployment.
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
@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.

Declarative vs. Imperative IaC

Contrasting approaches to defining cloud infrastructure, focusing on desired state vs. step-by-step instructions.

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.

Scheduler Extender

External process allowing custom logic to be added to the Kubernetes scheduling decisions.

Scheduling Algorithms

Methods used by Kubernetes scheduler to determine the best node placement for pods based on various factors.

Scheduling Framework

Kubernetes component allowing plugins to customize the scheduling process without changing the core scheduler code.

Scheduling Plugins

Modular components in Kubernetes scheduler implementing specific scheduling behaviors and policies.

Scheduling Profiles

Configurations defining sets of scheduling plugins to be used for different scheduling scenarios in Kubernetes.

Seccomp BPF

Use of Berkeley Packet Filter programs to define fine-grained seccomp profiles for container security.

Seccomp Profiles

Security profiles defining allowed system calls for containers, enhancing isolation and reducing attack surface.

Secret

Kubernetes object for storing and managing sensitive information such as passwords, tokens, or keys.

Secrets Management

Process of securely storing, distributing, and rotating sensitive data in containerized environments.

Secure Computing Mode (seccomp)

Linux kernel feature limiting the system calls a process can make, often used to secure containers.

Secure Supply Chain

Practices ensuring the integrity and security of container images and their dependencies throughout the development lifecycle.

Security Context Constraint

OpenShift object defining a set of conditions that a pod must run with to be accepted into the system.

Security Context Constraints

OpenShift feature for fine-grained control over the actions containers can perform and the resources they can access.

Security Scanning in CI Pipeline

Integration of vulnerability and compliance scans into the continuous integration process for container images.

Serverless Frameworks

Tools and platforms for building and deploying serverless applications on container orchestration systems.

Serverless Observability

Techniques and tools for monitoring, tracing, and debugging serverless functions and applications.

Serverless Patterns

Architectural patterns for designing and implementing serverless applications in containerized environments.

Serverless Security

Practices and tools for securing serverless functions and applications in container-based infrastructures.

Serverless Workflows

Orchestration of multiple serverless functions to create complex, event-driven applications.

Service

Kubernetes abstraction defining a logical set of pods and a policy by which to access them.

Service Account Token Volume Projection

Kubernetes feature for securely delivering service account tokens to pods, enhancing security.

Service Account Tokens

Credentials automatically generated for pods to authenticate with the Kubernetes API server.

Service Discovery Pattern

Technique allowing services to locate and communicate with each other dynamically in containerized environments.

Service Mesh Control Plane

Component of a service mesh responsible for managing and configuring the data plane proxies.

Service Mesh Data Plane

Component of a service mesh consisting of proxies that intercept and control service-to-service communication.

Service Mesh Interface (SMI)

Specification defining a set of common APIs for service meshes on Kubernetes, promoting interoperability.

Service Mesh Pattern

Architectural pattern providing a dedicated infrastructure layer for handling service-to-service communication.

Service Mesh Performance (SMP)

Standard for measuring and characterizing the performance of service mesh deployments, aiding in optimization.

Service Monitors

Custom resources in Prometheus Operator for declaratively defining how services should be monitored.

Service Networking

Mechanisms and configurations for enabling network communication between services in container orchestration platforms.

Service Topology

Kubernetes feature allowing services to route traffic based on node topology for improved performance.

Service-to-Service Authentication

Process of verifying the identity of services communicating with each other in a containerized environment.

ServiceAccount

Kubernetes object providing an identity for processes running in a pod, used for authentication and authorization.

Sharding Pattern for Data Partitioning

Technique of dividing data across multiple database instances in containerized environments.

Sidecar Containers

Additional containers in a pod that enhance or extend the functionality of the main container.

Sidecar Pattern

Design pattern where a sidecar container is deployed alongside the main application container to provide supporting features.

Sidecar Proxy

Proxy container deployed alongside application containers to handle network traffic and implement service mesh functionality.

Sidecars for Service Mesh

Use of sidecar proxies to implement service mesh features like traffic management and security in Kubernetes.

SigNoz

Open-source application performance monitoring and observability platform for microservices and Kubernetes environments.

Skaffold

Tool facilitating continuous development for Kubernetes applications, handling building, pushing, and deploying application code.

Skaffold for Local Kubernetes Development

Use of Skaffold to streamline the development workflow for Kubernetes applications in local environments.

Snyk Container Security

Platform providing vulnerability scanning and security management for container images and Kubernetes deployments.

Software-Defined Networking (SDN)

Approach to network management enabling dynamic, programmatically efficient network configuration in container environments.

Source-to-Image (S2I)

Tool and workflow for building reproducible container images from source code, simplifying the build process.

Spinnaker

Open-source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence.

Splunk for Containers

Integration of Splunk's data platform with containerized environments for logging, monitoring, and analysis.

StackRox Kubernetes Security Platform

Security platform providing vulnerability management, compliance, and runtime protection for Kubernetes.

Stateful Applications in Containers

Containerized applications that maintain data or state, requiring special considerations for persistence and scaling.

StatefulSet

Kubernetes workload API object used to manage stateful applications, providing unique network identities and stable storage.

StatefulSet Patterns

Design patterns for deploying and managing stateful applications in Kubernetes using StatefulSets.

Static Pods

Pods managed directly by the kubelet on a specific node, without the API server observing them.

Static Provisioning

Process of pre-creating storage resources in Kubernetes before they are claimed by persistent volume claims.

Static Token File

File-based method for providing authentication tokens to the Kubernetes API server, useful for bootstrap authentication.

Status Subresource

Kubernetes API feature allowing updates to an object's status without modifying its spec, enabling more granular updates.

Storage Capacity Tracking

Kubernetes feature for making scheduling decisions based on the available storage capacity of nodes.

Storage Classes

Kubernetes objects defining different classes of storage with varying performance characteristics or policies.

StorageClass

Kubernetes object describing the "classes" of storage offered by the administrator, used for dynamic provisioning.

StorageOS

Software-defined storage for cloud-native applications, providing persistent storage for containers.

Strangler Fig Pattern for Modernization

Incremental approach to modernizing legacy applications by gradually replacing components with microservices.

Streaming Protocols

Network protocols optimized for real-time data transmission in containerized environments.

SubPath

Kubernetes volume feature allowing mounting a specific directory of a volume instead of its root.

Submariner for Multi-cluster Networking

Open-source project enabling direct networking between pods and services across Kubernetes clusters.

Subresources

Kubernetes API feature representing sub-components of a resource, allowing more granular access control and operations.

SuperEdge

Open-source container management system for edge computing, extending Kubernetes to manage edge nodes efficiently.

Sysdig Secure for Runtime Protection

Security platform providing real-time threat detection and response for containerized environments.

TUF (The Update Framework) for Secure Updates

Specification for securing software update systems, applicable to container image distribution.

Taints

Kubernetes node attributes that repel certain pods from scheduling unless they have matching tolerations.

Taints and Tolerations

Kubernetes mechanism for controlling which pods can be scheduled on specific nodes, enabling node specialization.

Tekton

Cloud-native CI/CD framework for Kubernetes, providing custom resources for defining pipelines and tasks.

Tekton Pipelines

Kubernetes-native CI/CD solution using custom resources to define pipelines as a series of tasks.

Telepresence for Local Development

Tool allowing developers to run a single service locally while connecting to a remote Kubernetes cluster.

Tenable.io Container Security

Platform providing vulnerability management and compliance monitoring for container images and registries.

Tenant Isolation

Techniques for separating and securing resources belonging to different users or groups in multi-tenant Kubernetes clusters.

Terrascan for Kubernetes Security Scanning

Open-source tool for static code analysis of Infrastructure as Code, including Kubernetes manifests.

Thanos

Open-source project extending Prometheus for long-term storage and global query view in large-scale deployments.

Thanos for Long-Term Storage

Use of Thanos to provide durable storage and global query capability for Prometheus metrics.

Throttling Pattern

Technique for limiting the rate at which a containerized service processes requests to prevent overload.

Tilt for Microservices Development

Development environment as code for teams building Kubernetes microservices, streamlining local development.

Timeout Configuration

Settings controlling the maximum duration for various operations in containerized applications and infrastructure.

Tolerations

Kubernetes pod specifications that allow (but do not require) pods to be scheduled on nodes with matching taints.

Topology Manager

Kubernetes feature coordinating resource allocation decisions to provide topology-aligned resource allocations.

Traffic Mirroring

Technique of duplicating live traffic to a separate service instance for testing or debugging purposes.

Traffic Shifting

Gradual redirection of traffic from one version of a service to another, often used in canary deployments.

Traffic Splitting

Distribution of incoming requests across multiple versions of a service, enabling advanced deployment strategies.

Trivy for Vulnerability Scanning

Open-source security scanner for containers and other artifacts, finding vulnerabilities and misconfigurations.

Twelve-Factor App Methodology

Set of best practices for building software-as-a-service apps that can be easily deployed to the cloud.

Twistlock

Container security platform providing vulnerability management, compliance, and runtime protection (now part of Prisma Cloud).

Twistlock (now Prisma Cloud)

Comprehensive cloud-native security platform for containers, serverless, and cloud environments.

Underlay Networks

Physical network infrastructure upon which overlay networks for container communication are built.

Unikernels as Container Alternatives

Specialized, single-purpose machine images offering potential advantages in size and security over containers.

Union File System

Filesystem service for Linux allowing files and directories of separate filesystems to be overlaid, forming a single coherent filesystem.

User Impersonation

Kubernetes feature allowing a user to act as another user, useful for debugging and testing access controls.

User Namespaces

Linux kernel feature providing per-process isolated instances of user and group ID number spaces.

VXLAN

Network virtualization technology used in container networking for creating overlay networks.

VXLAN Overlay Networks

Virtual networks using VXLAN encapsulation to enable container communication across hosts.

Valet Key Pattern for Secure Resource Access

Design pattern for providing clients with restricted direct access to a specific resource or service.

Validating Webhooks

Admission controller webhooks in Kubernetes that validate resource requests without modifying them.

Validation Webhooks

Kubernetes admission control mechanism for validating API requests against custom logic before persistence.

Velero for Backup and Restore

Open-source tool for backing up and restoring Kubernetes cluster resources and persistent volumes.

Version Skew Policy

Guidelines defining supported version differences between Kubernetes components to ensure compatibility.