Engineering Glossary

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DevOps
Git
Cloud Computing
Containerization & Orchestration

Log Levels

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

Log Management

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

Log Management Policy

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

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

Observability vs Monitoring

Observability provides insights into system behavior, while monitoring tracks predefined metrics.
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
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.
Pull/Pull Request

Pull/Pull Request

Alternative terms for the same concept of proposing and reviewing changes in Git-based collaboration.
Push

Push

A Git command used to upload local repository changes to a remote repository, sharing updates with collaborators.
README

README

A file in a Git repository that provides information about the project, its purpose, and how to use or contribute to it.
Rebase

Rebase

A Git operation that moves or combines a sequence of commits to a new base commit, often used to maintain a linear history.
Rebase Interactive

Rebase Interactive

A Git rebase mode allowing users to modify, reorder, or squash commits before applying them to the target branch.
RefLog

RefLog

A Git mechanism that records updates to branch tips and other references in a repository.
Refspec

Refspec

A string that specifies the mapping between remote and local references when fetching or pushing in Git.
Release branching

Release branching

A strategy where a separate branch is created for release preparation, allowing continued development on the main branch.
Remote

Remote

A Git repository hosted on a server, allowing collaboration and synchronization between multiple developers.
Repository

Repository

Centralized location where software packages or modules are stored and managed, facilitating version control and collaboration.
Repository ("Repo")

Repository ("Repo")

A data structure containing all the files, history, and metadata for a Git-managed project.
SCM

SCM

Source Control Management, a system for tracking and managing changes to code, of which Git is an example.
SHA-1

SHA-1

The cryptographic hash function used by Git to generate unique identifiers for objects in the repository.
SSH key

SSH key

A secure authentication method using a pair of cryptographic keys for accessing remote systems or services.
Shallow Clone

Shallow Clone

A Git clone that only fetches a limited number of recent commits, reducing download size for large repositories.
Squash

Squash

The process of combining multiple commits into a single commit in Git, often used to simplify history.
Staging

Staging

The process of preparing changes to be committed in Git, also known as "adding to the index."
Stash

Stash

A Git feature for temporarily storing uncommitted changes, allowing you to switch branches without committing work in progress.
Stashing

Stashing

A Git feature for temporarily saving uncommitted changes, allowing you to switch contexts without committing incomplete work.
Status

Status

A Git command that shows the state of the working directory and staging area, indicating which files are modified or staged.
SubModule

SubModule

A Git repository nested within another repository, allowing you to include external projects in your own project.
Tag

Tag

A named reference to a specific point in Git history, typically used to mark release points or important milestones.
Team plan

Team plan

A subscription level for GitHub designed for collaborative groups or small organizations.
Upstream

Upstream

The original repository from which a fork is created, or the branch that a local branch is tracking.
Upstream and Downstream

Upstream and Downstream

Terms describing the flow of changes in Git, with upstream being the source and downstream the destination.
Work in Progress (WIP) Commit

Work in Progress (WIP) Commit

A temporary commit indicating unfinished work, often used to save progress or facilitate code reviews.
access token

access token

A secure alternative to passwords, used for authentication in Git operations, providing limited access to specific resources or actions.
alternate object database

alternate object database

A secondary location where Git stores object files, useful for optimizing storage and performance in large repositories.
appliance

appliance

A dedicated hardware or virtual machine optimized for running Git services, often used in enterprise environments for improved performance.
assignee

assignee

The person responsible for addressing an issue or pull request in a Git repository, helping to organize and prioritize tasks.
authentication code

authentication code

A temporary code used in two-factor authentication to verify a user's identity when accessing Git repositories or services.
base branch

base branch

The primary branch in a Git repository from which feature branches are created and into which they are merged after development.
basic authentication

basic authentication

A simple authentication method in Git using a username and password, often discouraged in favor of more secure methods.
billing cycle

billing cycle

The recurring period for which Git hosting services charge users or organizations for their subscriptions and usage.
billing email

billing email

The email address associated with a Git account or organization for receiving invoices and billing-related communications.
billing manager

billing manager

A user role in Git hosting platforms responsible for managing billing information, subscriptions, and payments for an organization.
billing plan

billing plan

A subscription package offered by Git hosting services, defining features, storage limits, and pricing for users or organizations.
bio

bio

A brief description of a user's profile on Git platforms, typically including their role, interests, or expertise in software development.
blob object

blob object

A Git object type representing the contents of a file, stored as a sequence of bytes without any metadata or file attributes.
block

block

An action on Git platforms to restrict a user's ability to interact with a repository, often used to manage disruptive behavior.
branch restriction

branch restriction

A set of rules applied to Git branches to control who can push changes, merge, or perform certain actions, enhancing code quality.
cURL

cURL

A command-line tool often used with Git to transfer data and interact with APIs, supporting various protocols including HTTPS.
card

card

A visual representation of an issue or pull request in Git project management tools, used for organizing and prioritizing work.
chain

chain

A series of connected commits in Git, representing a sequence of changes that build upon each other in a repository's history.
changeset

changeset

A group of changes made to files in a Git repository, typically represented by a commit and including additions, modifications, and deletions.
check

check

An automated test or verification process run on Git repositories to ensure code quality, security, or compliance with project standards.
child team

child team

A nested team within a Git organization's hierarchy, inheriting permissions and access rights from its parent team.
clean

clean

A Git command used to remove untracked files and directories from a working directory, helping to maintain a tidy repository.
clustering

clustering

A technique used in Git hosting services to distribute repository data across multiple servers for improved performance and reliability.
code frequency graph

code frequency graph

A visual representation of code additions and deletions over time in a Git repository, useful for tracking project activity.
code of conduct

code of conduct

A document outlining expected behavior and guidelines for contributors in a Git repository, promoting a positive community.
code owner

code owner

A designated person or team responsible for reviewing and approving changes to specific files or directories in a Git repository.
collaborator

collaborator

A user with read and write access to a Git repository, able to contribute code and participate in project discussions.
commit ID

commit ID

A unique identifier (SHA-1 hash) assigned to each commit in Git, used to reference specific points in a repository's history.
commit author

commit author

The person who originally created a commit in Git, distinct from the committer who may have applied the changes on behalf of the author.
commit graph

commit graph

A visual representation of the commit history in a Git repository, showing the relationships between different branches and merges.
commit graph concept, representations and usage

commit graph concept, representations and usage

The underlying structure and visual representations of Git's commit history, used for understanding project evolution.
commit message

commit message

A descriptive text associated with a Git commit, explaining the purpose and details of the changes made in that commit.
commit object

commit object

A Git object type containing metadata about a commit, including the author, committer, date, and a pointer to the tree object.
commit-graph file

commit-graph file

A file used by Git to store commit graph information, optimizing performance for operations that traverse the commit history.
commit-ish (also committish)

commit-ish (also committish)

A term referring to any Git object that can be resolved to a commit, including commit IDs, branch names, and tags.
compare branch

compare branch

A Git feature allowing users to view differences between two branches, often used before merging to review changes.
contribution graph

contribution graph

A visual representation of a user's Git activity over time, showing the frequency and distribution of their contributions to repositories.
contribution guidelines

contribution guidelines

A document in a Git repository outlining best practices, coding standards, and procedures for contributors to follow when submitting changes.
contributions

contributions

The collective changes, commits, issues, and pull requests made by a user to Git repositories, showcasing their involvement in projects.
contributor

contributor

Any person who has made contributions to a Git repository, whether through code, documentation, or other forms of project support.
contributors graph

contributors graph

A visual representation of all contributors to a Git repository, showing their relative contributions over time and by type.
core Git

core Git

The fundamental set of Git commands and functionality, excluding third-party extensions or hosting platform-specific features.
coupon

coupon

A promotional code offering discounts or credits for Git hosting services, often used to attract new users or upgrade existing accounts.
cron

cron

A time-based job scheduler used in Git hosting platforms to automate tasks such as backups, notifications, or periodic code checks.
dangling object

dangling object

A Git object not reachable from any reference (branch, tag, etc.), often created during rebasing or other history-altering operations.
dashboard

dashboard

A central interface in Git platforms providing an overview of a user's repositories, activities, and notifications.
default branch

default branch

The primary branch in a Git repository, typically named "main" or "master," serving as the base for new branches and deployments.
dependency graph

dependency graph

A visual representation of a project's dependencies, showing relationships between different components or external libraries.
dependents graph

dependents graph

A visualization of other projects or repositories that depend on a given Git repository, useful for understanding its impact.
deploy key

deploy key

An SSH key granting read-only access to a specific Git repository, commonly used for automated deployments or CI/CD processes.
dereference

dereference

The process of resolving a Git reference (like a branch or tag) to its corresponding commit object or SHA-1 hash.
detached HEAD

detached HEAD

A state in Git where the HEAD pointer references a specific commit rather than a branch, often used for temporary work.
diagnostics

diagnostics

Tools and features in Git used to identify and troubleshoot issues with repositories, commits, or configuration settings.
directory

directory

A folder within a Git repository containing files and potentially other subdirectories, organized hierarchically.
dirty

dirty

A term describing a Git working directory that contains uncommitted changes, indicating modifications that haven't been saved to the repository.
email notifications

email notifications

Alerts sent via email by Git platforms to inform users about repository activities, mentions, or updates.
enterprise account

enterprise account

A high-tier account type offered by Git hosting services, providing advanced features and support for large organizations.
evil merge

evil merge

A problematic merge in Git where conflicts are resolved incorrectly, potentially introducing subtle bugs or inconsistencies.
fast-forward

fast-forward

A type of Git merge where the target branch's pointer is simply moved to the latest commit of the source branch, without creating a new commit.
feature branch

feature branch

A temporary branch in Git created to develop a specific feature or fix, typically merged back into the main branch upon completion.
fenced code block

fenced code block

A markdown syntax used in Git documentation and comments to display formatted code snippets with syntax highlighting.
file system

file system

The underlying structure used by Git to store repository data, including objects, refs, and configuration files.
following (users)

following (users)

A feature in Git platforms allowing users to receive updates and notifications about other users' activities.
gitfile

gitfile

A file containing a Git repository's object database, used in certain Git operations.
gitignore

gitignore

A text file specifying intentionally untracked files that Git should ignore, customizable for different project types.
graft

graft

A technique in Git to join two unrelated commit histories, typically used for repository repair or history modification.
hash

hash

A unique identifier (SHA-1) for Git objects, used to ensure data integrity and create content-addressable storage.
head branch

head branch

The default branch that is checked out when a repository is cloned, typically 'main' or 'master'.
head ref

head ref

A reference to the tip of a branch, representing the most recent commit in that branch's history.
high-availability

high-availability

A characteristic of Git hosting systems designed to ensure continuous operation and minimal downtime.
hook

hook

A script that Git executes before or after events such as commit, push, and receive, used for automating or controlling Git processes.
hostname

hostname

The unique name assigned to a device on a network, used for identification and communication purposes.

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.

DaemonSet Pattern

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

Data Backup and Recovery

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

Data Consistency in Distributed Systems

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

Data Fabric in Containerized Environments

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

Data Lakehouse Architecture

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

Data Migration Between Containers

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

Data Persistence Strategies

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

Data Plane

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

Data Replication in Containers

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

Data Sharding in Containerized Databases

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

Database Containerization

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

Database-per-Service Pattern

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

Datadog Container Monitoring

Platform for observability and monitoring of containerized environments and microservices.

Dead Letter Queue Pattern

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

Declarative Deployments

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

Deployment Strategies

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

Descheduler

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

DevSpace for Cloud-native Development

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

Device Plugins

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

Direct Server Return (DSR)

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

Distributed Tracing Integration

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

Distributed Tracing with Jaeger

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

Distributed Tracing with OpenTelemetry

Implementation of OpenTelemetry for standardized observability in containerized environments.

Distroless Images

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

Docker Attach

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

Docker Build Context

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

Docker Buildx

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

Docker CRI Shim

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

Docker Client

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

Docker Commit

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

Docker Compose

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

Docker Container Inspection

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

Docker Content Trust

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

Docker Content Trust Signature Verification

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

Docker Contexts

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

Docker Daemon

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

Docker Exec

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

Docker Export/Import

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

Docker Hub

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

Docker Image History

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

Docker Image Inspection

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

Docker Image Specification

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

Docker Network

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

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

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

Docker Prune

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

Docker Save/Load

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

Docker Scan

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

Docker Shim

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

Docker Socket

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

Docker Stats

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

Docker Swarm

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

Docker System Events

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

Docker Top

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

Docker Volume

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

Docker Volume Driver Types

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

Dockerfile

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

Dockerfile ARG

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

Dockerfile Best Practices

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

Dockerfile HEALTHCHECK

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

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

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

Dockerfile ONBUILD

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

Dockerfile STOPSIGNAL

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

Dockerignore

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

Domain-Driven Design (DDD) in Microservices

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

Dragonfly for P2P Image Distribution

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

Drain

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

Dual-stack Networking

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

Dynamic Admission Control

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

Dynamic Auditing

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

Dynamic Provisioning

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

Dynatrace OneAgent

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

ELK Stack (Elasticsearch, Logstash, Kibana)

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

East-West Traffic

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

Edge AI/ML

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

Edge Analytics

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

Edge Device Management

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

Edge Orchestration

Management and coordination of containerized applications across distributed edge locations.

Edge Security

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

Edge Workload Scheduling

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

Edge-Cloud Syncing

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

Egress Gateway

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

Egress Gateways

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

Egress Traffic Control

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

Elastic APM

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

Encrypted Secrets

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

End-to-End Testing

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

EndpointSlices

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

Environment Variables in Containers

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

Envoy Proxy

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

Ephemeral Containers

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

Ephemeral Volumes

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

Equal-Cost Multi-Path (ECMP)

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

Etcd

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

Event Sinks

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

Event Sources

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

Event Sourcing

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

Event Sourcing Pattern

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

Event Sourcing in Containers

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

Event-driven Architectures

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

Eviction Policies

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