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

Log Management Process

Systematic approach to collecting, storing, analyzing, and disposing of log data.
DevOps

Log Rotation

Process of archiving filled log files and starting new ones to prevent excessive disk space usage.
DevOps

Log.io

Real-time log monitoring tool that allows users to view and search logs from multiple sources in a single web-based interface.
DevOps

LogShell Vulnerability

Critical security flaw in the Log4j library, allowing remote code execution and posing significant security risks.
DevOps

Loggly

Cloud-based log management and analytics service that helps organizations collect, analyze, and act on machine-generated data from various sources.
DevOps

Logstash

Open-source data processing pipeline that ingests data from multiple sources simultaneously.
DevOps

Logster

Utility for reading log files and generating metrics for monitoring systems like Graphite and Ganglia.
DevOps

Loom

Project aimed at adding lightweight concurrency and new programming models to Java.
DevOps

Low-code

Software development approach requiring little to no coding to build applications and processes.
DevOps

M Silicon

Apple's custom-designed ARM-based processors for Mac computers, offering improved performance and energy efficiency.
DevOps

MITRE ATT&CK

Globally-accessible knowledge base of adversary tactics and techniques based on real-world observations.
DevOps

MLOps

Set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently.
DevOps

MTTI

Mean Time to Identify; average time between the start of an incident and its discovery.
DevOps

MTTR (Mean Time To Recovery)

Average time required to repair a failed system and restore it to normal operation, a key metric for measuring system reliability.
DevOps

Machine Data

Digital information created by the activity of computers, mobile phones, embedded systems and other networked devices.
DevOps

Machine Learning (ML)

Field of study giving computers the ability to learn without being explicitly programmed.
DevOps

Magecart

Group of threat actors that specialize in stealing credit card data from online stores.
DevOps

Managed Detection and Response

Cybersecurity service that combines technology and human expertise to rapidly identify and respond to threats.
DevOps

Managed SIEM

Security Information and Event Management offered as a managed service, providing expert monitoring and threat detection.
DevOps

Managing Secrets

Process of securely storing and handling sensitive information like passwords and API keys.
DevOps

Mass Assignment

Vulnerability where an active record pattern in a web application is abused to modify data items that the user should not be allowed to access.
DevOps

Maturity Model

Structured representation of improvement across multiple dimensions of an organization or service.
DevOps

Mcollective

Framework for building server orchestration or parallel job execution systems, facilitating large-scale system management.
DevOps

Mean Time Between Failures (MTBF)

Average time between system failures, used to measure reliability and predict future failure occurrences.
DevOps

Mean Time to Recovery (MTTR)

Average time required to repair a failed system and restore it to normal operation.
DevOps

Mean Time to Resolution

Average time between the detection of an incident and its full resolution, a key metric in IT service management.
DevOps

Measure everything

Practice of collecting metrics on all aspects of software development and operations to enable data-driven decisions.
DevOps

Memcached

Distributed memory caching system designed to speed up dynamic web applications.
DevOps

Memory Bottleneck

Situation where system performance is limited by the amount or speed of available memory.
DevOps

Mezmo

Cloud-native observability platform for log management and analysis, helping organizations gain insights from their machine data.
DevOps

Micro Frontend

Architectural style where a frontend app is decomposed into individual, loosely coupled components.
DevOps

Microsegmentation

Security technique that creates secure zones in data centers and cloud deployments to isolate workloads from one another.
DevOps

Microservice-Architektur

Architectural style structuring an application as a collection of loosely coupled services.
DevOps

Microservice-Infrastruktur

Infrastructure designed to support the deployment and operation of microservices.
DevOps

Microservices

Software development technique that structures an application as a collection of loosely coupled services.
DevOps

Microservices Architecture

Architectural style that structures an application as a collection of small autonomous services.
DevOps

Microsoft Azure

Cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services.
DevOps

Mina

Network application framework which helps users develop high performance and high scalability network applications easily.
DevOps

Mobile Analytics

Tools and processes for measuring and analyzing mobile app usage and user behavior.
DevOps

Mobile App Automation

Tools and processes for measuring and analyzing mobile app usage and user behavior.
DevOps

Mobile App Testing

Process of testing mobile applications for functionality, usability, and consistency.
DevOps

Mobile Applications Security Testing (MAST)

Process of testing mobile applications for security vulnerabilities, ensuring protection of user data and app integrity.
DevOps

Mobile Artifacts

Data or files generated during mobile app development and testing, including binaries, logs, and test results.
DevOps

Mobile Testing

Process of testing mobile devices and applications to ensure proper functionality and user experience.
DevOps

Model-Based Testing (MBT)

Software testing technique in which test cases are derived from a model that describes the system under test.
DevOps

MongoDB

Popular open-source document-oriented database program classified as a NoSQL database, known for its flexibility and scalability.
DevOps

Monitoring

Continuous observation and checking of a system's performance, health, and security to ensure optimal operation and detect issues.
DevOps

Monitoring as Code (MaC)

Practice of defining and managing monitoring configurations using code and version control systems.
DevOps

Monolithic Architecture

Software design where all components of an application are interconnected and interdependent.
DevOps

Monorepo

Development approach where code for many projects is stored in the same repository.
DevOps

Muda

Japanese term for waste in lean methodologies, referring to any activity that doesn't add value to the final product or service.
DevOps

Multi-Cloud Strategy

Use of multiple cloud computing and storage services in a single heterogeneous architecture.
DevOps

Mura

Japanese term in lean methodologies referring to unevenness or irregularity in processes, which can lead to inefficiencies.
DevOps

Muri

Japanese term in lean methodologies referring to overburden or unreasonableness, which can lead to stress and inefficiencies.
DevOps

Mutable Infrastructure

Infrastructure that can be updated or modified after it is deployed, contrasting with immutable infrastructure approaches.
DevOps

NFRs

Non-Functional Requirements; requirements that specify criteria for judging the operation of a system, rather than specific behaviors.
DevOps

NIST SIEM Requirements and Standards

Guidelines set by the National Institute of Standards and Technology for Security Information and Event Management systems.
DevOps

NPM

Node Package Manager, the default package manager for Node.js, used for installing and managing JavaScript packages and dependencies.
DevOps

Nagios

Open source monitoring system for computer systems, networks and infrastructure.
DevOps

NestJS

Progressive Node.js framework for building efficient and scalable server-side applications.
DevOps

Network Bottleneck

Point in a network where bandwidth is limited, causing slowdowns in data transfer.
DevOps

Network as a Service (NaaS)

Cloud model where network services are delivered over the internet, offering flexibility and scalability.
DevOps

New Relic

Cloud-based observability platform that helps developers monitor, debug, and optimize their entire stack.
DevOps

Next Generation WAF (Web Application Firewall)

Advanced WAF that uses machine learning and behavioral analytics to protect web applications.
DevOps

Nexus

Repository manager that organizes, stores, and distributes software components, facilitating dependency management in development.
DevOps

Nexus Repository

Software repository manager for storing and distributing build artifacts, supporting various package formats and integrations.
DevOps

Nginx

Web server that can also be used as a reverse proxy, load balancer, mail proxy and HTTP cache.
DevOps

NoOps

Concept where an IT environment becomes so automated that there's no need for a dedicated team to manage software in-house.
DevOps

NoSQLi

NoSQL Injection; security exploit targeting databases that use non-SQL query languages.
DevOps

Node Logging

Process of recording events and data from individual nodes in a distributed system.
DevOps

Node Pool

Group of nodes within a cluster, typically with the same configuration, used in container orchestration platforms like Kubernetes.
DevOps

Node.js

JavaScript runtime built on Chrome's V8 JavaScript engine for building scalable network applications.
DevOps

Nomad

Flexible workload orchestrator to deploy and manage containers and non-containerized applications.
DevOps

Non-Functional Testing

Testing of non-functional aspects of software like performance, usability, and reliability.
DevOps

OSV

Open Source Vulnerabilities; database of vulnerabilities affecting open source software.
DevOps

OWASP

Open Web Application Security Project; nonprofit foundation working to improve software security.
DevOps

OWASP API Top 10

List of the ten most critical API security risks, providing awareness and guidance for developers and security professionals.
DevOps

OWASP Top 10

Standard awareness document for developers about the most critical security risks to web applications.
DevOps

Observability

Measure of how well internal states of a system can be inferred from knowledge of its external outputs.
DevOps

On Premise Infrastructure

Computing infrastructure physically located within an organization's facilities.
DevOps

One-Stop Shop

Single location or service providing multiple resources or capabilities, often used in IT service management.
DevOps

Open Authorization (OAuth)

Open standard for access delegation, commonly used for secure authorization in web applications.
DevOps

Open Integration Framework (OIF)

Set of standards and practices for integrating different software systems, promoting interoperability and flexibility.
DevOps

Open Source

Software with source code that anyone can inspect, modify, and enhance, promoting collaboration and transparency.
DevOps

Open Source Applications

Software applications whose source code is openly available for modification and distribution.
DevOps

OpenShift

Container application platform by Red Hat that brings Docker and Kubernetes to the enterprise.
DevOps

OpenStack

Free, open-standard cloud computing platform, primarily deployed as infrastructure-as-a-service.
DevOps

OpenTelemetry

Collection of tools, APIs, and SDKs used to instrument, generate, collect, and export telemetry data.
DevOps

Operational Intelligence

Real-time dynamic business analytics that delivers visibility and insight into data, streaming events, and business operations.
DevOps

Operations Engineering (Ops)

Discipline of designing and managing systems for maximum efficiency and reliability.
DevOps

Ops (from DevOps)

Operational aspect of DevOps, focusing on system administration, infrastructure management, and deployment.
DevOps

OpsGenie

Incident management and alert notification tool designed to help teams handle critical issues quickly and efficiently.
DevOps

Opsbot

Chatbot designed to assist with operational tasks and incident management, streamlining IT operations and support.
DevOps

Opskeleton

Basic structure or framework for operations in a software project, providing a starting point for implementing DevOps practices.
DevOps

Orchestration

Automated configuration, coordination, and management of computer systems and software.
DevOps

Otto

Holistic, single command developer tool for managing development environments across multiple platforms and languages.
DevOps

Out-of-the-Box

Feature or functionality that works immediately after installation without any modification.
DevOps

Out-of-the-Box Tools

Tools that are ready to use immediately without additional configuration or customization.
DevOps

Overcast

Tool for spinning up and tearing down multi-VM Vagrant environments, facilitating the creation of reproducible development setups.
DevOps

PCI Compliance

Adherence to the Payment Card Industry Data Security Standard for organizations that handle credit card information.
DevOps
Git Pull --Rebase

Git Pull --Rebase

A variation of Git pull that fetches remote changes and rebases local commits on top of them instead of merging.
Git Push --Force-with-Lease

Git Push --Force-with-Lease

A safer alternative to force push, which only updates the branch if it hasn't been modified since your last fetch.
Git Range-diff

Git Range-diff

A command that compares the changes between two commit ranges, useful for reviewing rebased branches.
Git Read-tree

Git Read-tree

A low-level command that reads tree objects into the index, used in complex merging scenarios.
Git Reflog

Git Reflog

A log of all reference updates in a repository, useful for recovering lost commits or branches.
Git Reflogs

Git Reflogs

Same as Git Reflog, logs that record when the tips of branches and other references were updated in the repository.
Git Refs Storage

Git Refs Storage

The system Git uses to store references (like branches and tags) as files in the .git directory.
Git Refspec

Git Refspec

A string that specifies the mapping between remote and local references when fetching or pushing.
Git Remote Add

Git Remote Add

Adds a new remote repository to your local Git configuration, associating a name with a URL.
Git Remote Prune

Git Remote Prune

A command that removes remote-tracking branches that no longer exist on the remote repository.
Git Remote Remove

Git Remote Remove

Removes a remote repository from your local Git configuration, deleting its associated references.
Git Replace

Git Replace

A feature allowing one Git object to be transparently used in place of another, useful for history rewriting.
Git Rerere (Reuse Recorded Resolution)

Git Rerere (Reuse Recorded Resolution)

A feature that remembers how you resolved merge conflicts and automatically reapplies the resolution.
Git Reset

Git Reset

A command used to undo changes by moving the current branch head to a specific commit.
Git Reset --Hard

Git Reset --Hard

A Git reset option that updates the working directory and staging area to match the specified commit.
Git Reset --Soft

Git Reset --Soft

A Git reset option that moves the HEAD to a specified commit without changing the working directory or staging area.
Git Rev-list

Git Rev-list

A command that lists commit objects in reverse chronological order, often used as a basis for other commands.
Git Rev-parse

Git Rev-parse

A command used to parse Git revision syntax and return the corresponding object name.
Git Revert

Git Revert

A command that creates a new commit that undoes the changes made by a previous commit.
Git Rm

Git Rm

A command to remove files from both the working directory and the Git repository.
Git Shallow Clone

Git Shallow Clone

A clone that only fetches a limited number of commits, reducing download size and time for large repositories.
Git Shortlog

Git Shortlog

A command that summarizes git log output, typically used to create release announcements.
Git Signed Commits

Git Signed Commits

Commits that are cryptographically signed to verify the identity of the committer and ensure integrity.
Git Signed Tags

Git Signed Tags

Tags that are cryptographically signed to verify the identity of the tagger and ensure the tag's integrity.
Git Squash

Git Squash

The process of combining multiple commits into a single commit, often used to simplify history before merging.
Git Stash Apply

Git Stash Apply

A command that applies a stored stash to the working directory without removing it from the stash list.
Git Stash Pop

Git Stash Pop

A command that applies a stored stash to the working directory and removes it from the stash list.
Git Status

Git Status

A command that displays the state of the working directory and the staging area.
Git Submodule

Git Submodule

A repository embedded within another repository, allowing you to keep a Git repository as a subdirectory of another Git repository.
Git Submodule Foreach

Git Submodule Foreach

A command that executes a specified shell command for each initialized submodule in a Git repository.
Git Subtree

Git Subtree

A feature for managing nested repositories as subdirectories of a parent repository, an alternative to submodules.
Git Update-index

Git Update-index

A low-level Git command that manipulates the staging area, updating file information and preparing changes for commit.
Git Wire Protocol

Git Wire Protocol

The communication protocol used between Git clients and servers for efficient data transfer.
Git Worktree

Git Worktree

A feature allowing multiple working trees to be attached to the same repository, useful for working on different branches simultaneously.
Git Worktree Add

Git Worktree Add

Creates a new working tree associated with the repository, allowing work on multiple branches simultaneously.
Git Worktree List

Git Worktree List

A command to list details of each working tree associated with the repository, showing paths and branch information.
Git Write-tree

Git Write-tree

A low-level Git command that creates a tree object from the current index, representing a directory structure.
Git archive

Git archive

A Git command used to create an archive (zip or tar) of files from a specified commit, useful for creating release packages.
Git branch naming conventions

Git branch naming conventions

Agreed-upon patterns for naming branches to improve organization and clarity in collaborative projects.
Git cat-file

Git cat-file

A command to examine the contents and type of Git objects, useful for inspecting repository internals.
Git cherry-pick --continue

Git cherry-pick --continue

A command to resume the cherry-pick process after resolving conflicts in a paused cherry-pick operation.
Git config scopes (system, global, local)

Git config scopes (system, global, local)

Levels at which Git configuration can be set: system (all users), global (user), and local (repository).
Git count-objects -v

Git count-objects -v

A command providing detailed statistics about the number and size of objects in a Git repository.
Git credential helpers

Git credential helpers

Mechanisms to securely store and retrieve credentials for Git operations, reducing manual authentication.
Git diff drivers

Git diff drivers

Custom scripts that determine how Git should generate diffs for specific file types.
Git filter-repo

Git filter-repo

A versatile tool for rewriting Git repository history, offering more power and flexibility than git filter-branch.
Git gc aggressive

Git gc aggressive

A more thorough garbage collection process in Git, optimizing repository storage and performance.
Git hash-object

Git hash-object

A low-level Git command that computes the object ID (SHA-1 hash) for a given file or string, used in Git's internal storage.
Git hooks (client-side and server-side)

Git hooks (client-side and server-side)

Scripts triggered by specific events in Git workflows, used to automate tasks or enforce policies.
Git index (staging area)

Git index (staging area)

The intermediate area in Git where changes are prepared before committing, also known as the staging area.
Git loose objects

Git loose objects

Individual, uncompressed Git objects stored separately in the object database before being packed.
Git ls-tree

Git ls-tree

A command to list the contents of a tree object in Git, showing files and subdirectories.
Git merge drivers

Git merge drivers

Custom scripts defining how Git should handle merges for specific file types or patterns.
Git mktree

Git mktree

A low-level Git command that creates a tree object from a specific index or tree listing.
Git object types (blob, tree, commit, tag)

Git object types (blob, tree, commit, tag)

The four fundamental object types used by Git to store repository data and history.
Git pack-refs

Git pack-refs

A command to pack references into a single file for improved performance in repositories with many references.
Git packfiles

Git packfiles

Compressed files containing multiple Git objects, optimizing storage and transfer efficiency in repositories.
Git post-receive hooks (server-side)

Git post-receive hooks (server-side)

Server-side scripts that run after commits have been accepted, often used for notifications or deployments.
Git pre-receive hooks (server-side)

Git pre-receive hooks (server-side)

Server-side scripts that run before pushed commits are accepted, used to enforce policies or checks.
Git protocol v2

Git protocol v2

An improved version of the Git transfer protocol, offering better performance and feature negotiation.
Git rebase --onto

Git rebase --onto

A command to move a series of commits to a new base commit, useful for changing the parent of a branch.
Git reflog expire

Git reflog expire

A command to remove old entries from the reflog, useful for cleaning up Git history and freeing space.
Git repack

Git repack

A command to combine all loose objects in a repository into packfiles, improving storage efficiency.
Git reset (soft, mixed, hard)

Git reset (soft, mixed, hard)

Commands to undo changes in Git, with varying impacts on the working directory and staging area.
Git secret management

Git secret management

Techniques and tools for securely storing and accessing sensitive information in Git repositories.
Git show-ref

Git show-ref

A command that lists references in a Git repository along with their associated commit hashes.
Git sparse-checkout

Git sparse-checkout

A feature allowing users to check out only a subset of files from a repository, saving space and time.
Git verify-pack

Git verify-pack

A command to validate the contents of Git pack files, ensuring data integrity in the object database.
GitHub App

GitHub App

An application that can be installed directly on organizations and user accounts to extend GitHub's functionality.
GitHub Flavored Markdown

GitHub Flavored Markdown

A version of Markdown with additional features specifically supported on GitHub.
GitHub Importer

GitHub Importer

A tool for importing repositories to GitHub from other version control systems or source code hosts.
GitHub Issues

GitHub Issues

A feature in GitHub for tracking tasks, enhancements, and bugs for a project.
GitHub Jobs

GitHub Jobs

A platform for posting and finding software development jobs, integrated with GitHub profiles, that was discontinued in 2021.
GitHub Marketplace

GitHub Marketplace

A platform for developers to sell and buy integrations for GitHub, enhancing workflow and productivity.
GitHub Pages

GitHub Pages

A static site hosting service that takes files directly from a GitHub repository to publish websites.
GitHub Wiki

GitHub Wiki

A collaborative documentation feature in GitHub repositories, allowing easy creation and editing of project documentation.
GitHub flow

GitHub flow

A lightweight, branch-based workflow that supports teams and projects where deployments are made regularly.
GitLab flow

GitLab flow

A version control workflow that combines feature-driven development and feature branches with issue tracking.
Gitflow

Gitflow

Branching model for Git that defines a strict branching model designed around project releases.
Gitk (Git Repository Browser)

Gitk (Git Repository Browser)

A graphical interface for viewing Git repositories, providing a visual representation of commit history.
GraphQL

GraphQL

Query language for APIs and a runtime for executing those queries with existing data.
HEAD

HEAD

A pointer in Git that refers to the latest commit in the current checked-out branch.
Hello, World

Hello, World

A simple program often used as an introduction to a new programming language or environment, including Git tutorials.
Hotfix branching

Hotfix branching

A method for quickly patching production releases by branching directly from the main branch or a tag.
Index

Index

Also known as the staging area, where changes are prepared before committing in Git.
Issue templates

Issue templates

Predefined structures for creating new issues in Git repositories, ensuring consistent and complete information.
Jekyll

Jekyll

A static site generator often used with GitHub Pages to create websites from Markdown files in a Git repository.
Jekyll Theme Chooser

Jekyll Theme Chooser

A tool in GitHub Pages that allows users to easily select and apply pre-designed themes to their Jekyll sites.
LFS

LFS

Git Large File Storage, an extension for versioning large files in Git repositories.
Linguist

Linguist

A library used by GitHub to detect the programming languages used in repositories.
Markdown

Markdown

A lightweight markup language commonly used for documentation in Git repositories.
Master

Master

Formerly the default name for the primary branch in Git repositories, now often replaced by 'main'.
Merge

Merge

The process of combining changes from different branches into a single branch, integrating multiple lines of development.
OAuth app

OAuth app

An application that uses the OAuth protocol to access Git platform APIs on behalf of users.
OAuth token

OAuth token

A secure string used for authentication in Git operations, allowing access to resources without sharing passwords.
Origin

Origin

The default name for the remote repository from which a local repository was cloned.
Patch

Patch

A file describing changes between versions, used to share and apply modifications across different Git repositories.
Pull

Pull

A Git command that fetches changes from a remote repository and merges them into the current branch.
Pull Request

Pull Request

A method of submitting contributions to a Git project, proposing changes from a forked repository or branch.
Pull request templates

Pull request templates

Customizable files that automatically populate the body of new pull requests, guiding contributors.

3D Stacked Memory for Cloud Servers

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

5G Cloud

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

5G Network Slicing

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

5G and Edge Computing

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

6G Cloud Integration

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

ACID Compliance

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

AI Ethics Compliance Tools

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

AI Ethics and Bias Detection Tools

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

AI Ethics and Governance Tools

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

AI Governance Frameworks

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

AI Model Governance Platforms

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

AI Model Interpretability Services

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

AI Model Interpretability Tools

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

AI Model Marketplaces

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

AI Model Monitoring and Drift Detection

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

AI Model Versioning and Governance

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

AI-Assisted Coding Platforms

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

AI-Augmented Analytics

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

AI-Driven Capacity Planning

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

AI-Driven Cloud Optimization

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

AI-Driven Cloud Resource Allocation

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

AI-Driven Cloud Service Composition

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

AI-Driven Code Generation

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

AI-Driven Data Classification

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

AI-Driven Network Optimization

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

AI-Driven Resource Allocation

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

AI-Driven Security Information and Event Management (SIEM)

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

AI-Driven Threat Detection

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

AI-Driven Threat Hunting

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

AI-Optimized Cloud Hardware

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

AI-Optimized Databases

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

AI-Powered Anomaly Detection

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

AI-Powered Integration

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

AI-as-a-Service

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

AI-as-a-Service (AIaaS)

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

AIOps

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

AIOps Platforms

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

AIOps for Predictive Maintenance

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

API Security Gateway

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

API Security Gateways

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

API-First Development

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

API-Led Connectivity

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

AR Cloud

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

AR/VR Analytics

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

AR/VR Collaboration Platforms

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

AR/VR Content Delivery Network

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

AR/VR Development Platforms

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

ARM Templates (Azure)

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

Adaptive User Interfaces for Cloud Services

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

Adversarial Machine Learning Detection

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

Alerting and Notification

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

Algorithmic Auditing

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

Ambient Computing Interfaces for Cloud

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

Anomaly Detection Systems

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

Application-Aware Networking

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

Approximate Query Processing

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

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

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

Artifact Repository

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

Artificial General Intelligence (AGI) as a Service

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

Artificial General Intelligence Research Platforms

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

Audit Logging

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

Audit Trails

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

Augmented Analytics

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

Augmented Reality (AR) Cloud

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

Augmented Reality Cloud Interfaces

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

Augmented Reality Cloud Rendering

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

Auto Scaling Groups

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

Auto-scaling

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

AutoML

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

AutoML in the Cloud

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

Automated AI Pipeline Optimization

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

Automated Cloud Governance Enforcement

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

Automated Compliance Monitoring

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

Automated Data Discovery

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

Automated Data Governance

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

Automated Data Wrangling Services

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

Automated Feature Engineering

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

Automated Incident Response Orchestration

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

Automated Machine Learning (AutoML)

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

Automated Machine Learning (AutoML) Platforms

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

Automated Penetration Testing

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

Automated Threat Modeling

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

Autonomous Systems in the Cloud

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

Azure Edge Zones

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

Azure Policy

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

B2B Integration Platforms

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

Backend for Frontend (BFF) Pattern

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

Bare Metal Server

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

Bare Metal Servers

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

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

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

Big Data Clusters

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

Billing Dashboard

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

Biocomputing in the Cloud

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

Biodiversity Impact Assessment for Cloud Facilities

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

Block Storage

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

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

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

Blockchain Analytics

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

Blockchain Databases

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

Blockchain Governance Tools

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

Blockchain Integration Services

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

Metrics Pipeline

System for collecting, processing, and storing performance metrics from containerized applications and infrastructure.

Metrics Server

Kubernetes add-on that collects resource metrics from kubelets for use in autoscaling and monitoring.

Metrics Server Optimization

Techniques for improving the performance and efficiency of the Kubernetes Metrics Server for better monitoring.

MicroK8s

Lightweight, CNCF-certified Kubernetes distribution designed for developer workstations, IoT devices, and CI/CD.

Microservices Chassis Pattern

Reusable base structure for building microservices, providing common functionalities like logging and monitoring.

MinIO Object Storage

High-performance, S3-compatible object storage system, often used for persistent storage in container environments.

Mount Propagation

Feature allowing containers to share mounted volumes, enabling advanced storage scenarios in Kubernetes.

Multi-Container Pod Patterns

Design patterns for deploying multiple containers within a single pod, such as sidecar, ambassador, or adapter patterns.

Multi-architecture Images

Container images supporting multiple CPU architectures, enabling deployment flexibility across diverse hardware.

Multi-cluster Management

Tools and practices for administering and orchestrating multiple Kubernetes clusters as a unified system.

Multi-cluster Networking

Technologies and configurations enabling network connectivity and service discovery across multiple Kubernetes clusters.

Multi-cluster Orchestration

Coordinated management and deployment of containerized applications across multiple Kubernetes clusters.

Multi-cluster Service Discovery

Mechanisms for locating and accessing services deployed across multiple Kubernetes clusters.

Multi-cluster Service Mesh

Implementation of service mesh functionalities spanning multiple Kubernetes clusters for unified traffic management.

Multi-stage Builds

Dockerfile technique using multiple stages to create optimized, smaller container images by separating build and runtime environments.

Multitenancy Benchmarks

Performance and isolation tests for evaluating the effectiveness of multi-tenant Kubernetes cluster configurations.

Multus

CNI plugin enabling attachment of multiple network interfaces to pods in Kubernetes, supporting advanced networking scenarios.

Multus CNI

Container Network Interface plugin allowing multiple CNI plugins to be used simultaneously, enabling multi-network support for pods.

Multus CNI for Multiple Networks

Use of Multus to attach pods to multiple networks, enabling complex networking scenarios in Kubernetes.

Mutating Webhooks

Admission controller webhooks that can modify resource requests before they are persisted, enabling dynamic resource manipulation.

Mutual TLS (mTLS)

Security protocol ensuring both client and server authenticate each other, commonly used in service mesh implementations.

NIST SP 800-190

Observability platform offering performance monitoring and analytics for containerized applications and infrastructure.

NSM (Network Service Mesh)

Cloud-native approach to solving L2/L3 use cases and service chain provisioning in Kubernetes.

NUMA-aware Scheduling

Kubernetes feature considering Non-Uniform Memory Access topology for optimal pod placement.

Namespace

Kubernetes abstraction for creating multiple virtual clusters within a physical cluster, providing a scope for names and resources.

Namespaces

Kubernetes feature for partitioning clusters into virtual sub-clusters, enabling resource isolation and access control.

Network Address Translation (NAT)

Process of modifying network address information in packet headers for routing in container networks.

Network Function Virtualization (NFV)

Concept of replacing dedicated network appliances with virtualized functions, often containerized.

Network Microsegmentation

Security technique dividing networks into isolated zones, enhancing container and microservices security.

Network Policies

Kubernetes resources specifying how groups of pods are allowed to communicate with each other and other network endpoints.

Network Policy

Specification of how groups of pods are allowed to communicate with each other and other network endpoints.

Network Policy Logging

Feature enabling logging of allowed and denied network connections based on Kubernetes Network Policies.

Network Segmentation

Practice of dividing a network into smaller segments or subnets, improving security and performance in container environments.

Network Service Mesh (NSM)

Cloud-native solution providing layer 2/3 network services to Kubernetes workloads, enhancing networking capabilities.

NetworkPolicy

Kubernetes resource defining rules for pod-to-pod and pod-to-external communication, implementing network segmentation.

NeuVector for Container Firewall

Security platform providing real-time container firewall, vulnerability management, and compliance for Kubernetes.

New Relic Container Monitoring

Observability platform offering performance monitoring and analytics for containerized applications and infrastructure.

Node

Basic unit of a distributed application in many systems, often referring to individual machines or processes.

Node Affinity

Kubernetes feature allowing pods to be scheduled on nodes with specific characteristics based on labels.

Node Authorization

Kubernetes authorization mode controlling kubelet access to the API server, enhancing cluster security.

Node Auto-provisioning

Feature automatically adjusting the number of nodes in a Kubernetes cluster based on workload demands.

Node Exporter

Prometheus exporter for hardware and OS metrics exposed by *NIX kernels, used for node-level monitoring in Kubernetes.

Node Feature Discovery

Kubernetes add-on detecting hardware features and system configuration, facilitating hardware-aware scheduling.

Node Name

Unique identifier for a node in a Kubernetes cluster, used in various operations and configurations.

Node Pressure Eviction

Process of removing pods from a node when it experiences resource pressure, ensuring stability.

Node Problem Detector

Kubernetes add-on monitoring and reporting node health issues, enhancing cluster reliability.

Node Restriction Admission Plugin

Kubernetes plugin limiting node and pod modifications to increase security and prevent privilege escalation.

Node Selector

Kubernetes feature for constraining pods to nodes with specific labels, enabling basic scheduling control.

Node Upgrade Process

Procedure for updating the software stack on Kubernetes nodes while minimizing disruption to running workloads.

Node-level Logging

Capture and management of system and container logs at the node level in a Kubernetes cluster.

NodeLifecycleController

Kubernetes controller managing the lifecycle of nodes, handling node registration and decommissioning.

NodeLocal DNSCache

Kubernetes add-on running a dns caching agent on cluster nodes to improve DNS performance.

NodePort

Kubernetes service type exposing the service on each node's IP at a static port, enabling external access.

NodePort Services

Kubernetes services that expose applications on a static port on each node, facilitating external access.

Non-root User Containers

Security practice of running containers with non-privileged users to reduce potential attack surface.

North-South Traffic

Network communication between external clients and services within a Kubernetes cluster, typically through ingress.

Notary

Open-source project providing secure content distribution and verification for container registries.

Notary for Content Trust

Implementation of Notary to ensure the integrity and authenticity of container images, enhancing supply chain security.

OCI Distribution Spec

Open Container Initiative specification defining an API protocol for distributing container images.

OCI Image Spec

Open Container Initiative specification defining the format of container images, ensuring interoperability.

OCI Image Specification

Detailed standard for container image format, ensuring interoperability between different container technologies.

OCI Runtime Specification

Standard defining the configuration, execution environment, and lifecycle of containers, ensuring compatibility.

OOM Killer

Linux kernel mechanism for terminating processes when the system runs out of memory, affecting container reliability.

OVN-Kubernetes for Open Virtual Networking

Integration of Open Virtual Network with Kubernetes for advanced software-defined networking.

Octant Dashboard

Open-source developer-centric web interface for visualizing Kubernetes cluster state and workloads.

Open Container Initiative (OCI) Runtime Spec

Industry standard for container runtime implementations, ensuring compatibility across platforms.

Open Policy Agent (OPA)

General-purpose policy engine for cloud-native environments, often used for Kubernetes admission control.

Open Policy Agent (OPA) Constraint Framework

OPA-based system for declaring, managing, and enforcing policies in Kubernetes environments.

OpenEBS

Container-attached storage solution providing persistent storage for stateful workloads in Kubernetes.

OpenEBS Local PV

OpenEBS feature for provisioning local persistent volumes, optimizing performance for I/O intensive workloads.

OpenFaaS

Framework for building serverless functions with Docker and Kubernetes, simplifying the deployment of event-driven workloads.

OpenID Connect Tokens

JSON Web Tokens used for authentication in Kubernetes, often integrated with external identity providers.

OpenTelemetry Collector

Vendor-agnostic way to receive, process, and export telemetry data in various formats for observability.

OpenTracing

Vendor-neutral API for distributed tracing, facilitating the instrumentation of microservices for observability.

OpenYurt

Kubernetes extension designed for edge computing scenarios, enabling efficient management of edge nodes.

Operator Lifecycle Manager (OLM)

Kubernetes extension that oversees installation, upgrades, and management of Operators in a cluster.

Operator Metering

Feature for usage reporting and billing in Kubernetes clusters, often used with Operators.

Operator Metrics

Performance and health indicators exposed by Kubernetes Operators for monitoring and alerting.

Operator Pattern

Kubernetes extension pattern for automating application-specific operational knowledge and tasks.

Operator SDK

Framework for building Kubernetes Operators, simplifying the development process with high-level APIs.

Operator Scorecard

Tool for validating Operators against best practices and providing suggestions for improvements.

OperatorHub

Public registry for finding and sharing Kubernetes Operators, facilitating discovery and distribution.

Out-of-Tree Plugins

Kubernetes plugins developed and maintained outside the main Kubernetes repository, enabling extensibility.

Outbox Pattern for Reliable Messaging

Design pattern ensuring consistency between database and message broker in distributed systems.

Outlier Detection

Process of identifying abnormal behavior in containerized applications or infrastructure for troubleshooting.

Overhead

Additional resource consumption introduced by container runtimes and orchestration systems.

Overlay Filesystems

Layered filesystem used by container runtimes to efficiently manage image layers and container writes.

Overlay Networks

Virtual networks created on top of existing networks, enabling container-to-container communication across hosts.

Parent Image

Base container image upon which other images are built, providing foundational layers for child images.

Peer Authentication

Service mesh feature ensuring mutual authentication between services using mTLS, enhancing security.

Persistent Volume Claims (PVC)

Kubernetes resource representing a request for storage by a user, abstracting storage implementation details.

Persistent Volumes (PV)

Kubernetes abstraction for a piece of storage in the cluster, managed independently of individual pods.

PersistentVolume

Kubernetes resource representing a piece of storage in the cluster that has been provisioned by an administrator.

PersistentVolumeClaim

Kubernetes resource representing a request for storage by a user, abstracting the details of the underlying storage implementation.

Pipeline as Code

Practice of defining CI/CD pipelines using code, often stored alongside application code for version control and review.

Pixie

Open-source observability tool for Kubernetes, providing automatic data collection and real-time debugging capabilities.

Pixie for Kubernetes Observability

Use of Pixie to gain deep insights into Kubernetes cluster performance and application behavior without code changes.

Pod

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

Pod Affinity

Kubernetes scheduling constraint that allows pods to be co-located with other pods based on labels.

Pod Affinity/Anti-Affinity

Kubernetes features for influencing pod scheduling based on the topology of the cluster and other pods.