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

SLA (Service Level Agreement)

Contract between a service provider and customer defining expected service levels.
DevOps

SOAR

Security Orchestration, Automation and Response; platforms that enable organizations to collect security data and perform security operations.
DevOps

SOC

Security Operations Center; centralized unit dealing with security issues on an organizational and technical level.
DevOps

SQL Injection

Code injection technique used to attack data-driven applications by inserting malicious SQL statements into application queries.
DevOps

SQLi

Abbreviation for SQL Injection, a code injection technique used to attack data-driven applications by inserting malicious SQL statements.
DevOps

SSL Certificate

Digital document that authenticates a website's identity and enables encrypted connections between servers and browsers, ensuring secure data transmission.
DevOps

SSL Certificate Chain

Series of certificates needed to verify the authenticity of a website's SSL certificate.
DevOps

SSL Certificate Expiry

Date when an SSL certificate is no longer valid and needs to be renewed to maintain secure connections.
DevOps

SSL/TLS Handshake

Process by which a client and server establish a secure encrypted connection, crucial for secure data transmission over the internet.
DevOps

SaltStack

Python-based, open-source configuration management software and remote execution engine.
DevOps

Sanity Testing

Subset of regression testing to verify that code changes don't impact critical functionalities.
DevOps

Scalability

Ability of a system, network, or process to handle a growing amount of work or its potential to be enlarged.
DevOps

Scaled Agile Framework (SAFe)

Set of organization and workflow patterns for implementing agile practices at enterprise scale.
DevOps

Schatten-IT

German term for "Shadow IT"; IT systems deployed outside of the organization's formal IT department.
DevOps

Scrubbing Center

Facility used to filter malicious traffic from a network, often used in DDoS mitigation.
DevOps

Scrum

Agile framework for project management emphasizing iterative progress, team collaboration, and flexibility.
DevOps

SecOps

Practice of integrating security processes with IT operations, aiming to reduce vulnerabilities and improve overall system security.
DevOps

Secure SDLC

Software Development Life Cycle that integrates security at every stage of the development process.
DevOps

Security Analytics

Use of data collection, aggregation, and analysis tools for security monitoring and threat detection.
DevOps

Security Champions

Individuals within development teams who act as the first point of contact for security-related matters.
DevOps

Security Information and Event Management (SIEM)

System providing real-time analysis of security alerts generated by applications and network hardware.
DevOps

Security Intelligence

Evidence-based knowledge about existing or emerging threats to assets, crucial for effective cybersecurity strategies.
DevOps

Security Misconfiguration

Improper configuration of security controls, often leading to vulnerabilities and potential security breaches.
DevOps

Security Observability

Practice of gaining insight into the security posture of systems through the collection and analysis of security-relevant data.
DevOps

Security Operation Center (SOC)

Centralized unit dealing with security issues on an organizational and technical level.
DevOps

Security Posture

Overall security status of an organization's systems, networks, and data, reflecting its ability to protect from cyber threats.
DevOps

Security Remediation

Process of addressing and fixing identified security vulnerabilities or weaknesses in systems, applications, or networks.
DevOps

Security as Code

Practice of building and operating security controls as code to ensure consistent and repeatable security processes.
DevOps

Selbstheilende Systeme

German for "self-healing systems"; systems that can detect and recover from failures automatically.
DevOps

Selenium

Popular open-source tool for automating web browsers, primarily used for testing web applications across various platforms.
DevOps

Self-Healing Systems

Systems capable of detecting and recovering from failures without human intervention.
DevOps

Self-Service Deployment

Capability allowing users to deploy applications or services independently, without IT intervention.
DevOps

Semaphore

Lightweight, cloud-native continuous integration and delivery platform designed for speed and simplicity in software development workflows.
DevOps

Sensitive Data Exposure

Security vulnerability where an application does not adequately protect sensitive information from unauthorized access.
DevOps

Sensu

Open-source monitoring framework designed to empower organizations with flexible and scalable monitoring for their infrastructure and applications.
DevOps

Sequencer

Tool used in network security for analyzing and manipulating network protocols, often employed in penetration testing and vulnerability assessment.
DevOps

Serf

Decentralized solution for cluster membership, failure detection, and orchestration, designed for service discovery and orchestration.
DevOps

Server Monitoring

Process of reviewing and analyzing a server for availability, operations, performance, security and other operations-related processes.
DevOps

Serverless

Cloud computing execution model where the cloud provider manages server infrastructure.
DevOps

Serverless Computing

Cloud computing model where the cloud provider manages server infrastructure, allowing developers to focus solely on code.
DevOps

Serverless Framework

Open-source tool for building and deploying serverless applications across various cloud providers, simplifying serverless development.
DevOps

Serverless Monitoring

Process of observing and managing the performance, availability, and cost of serverless applications and functions.
DevOps

Service Level Agreement (SLA)

Contract between a service provider and the end user defining the expected level of service.
DevOps

Service Level Indicator (SLI)

Quantitative measure of the level of service provided, used to evaluate whether a Service Level Objective is being met.
DevOps

Service Level Indicators (SLIs)

Quantitative measures of the level of service provided, used to evaluate whether Service Level Objectives are being met.
DevOps

Service Level Objective (SLO)

Target value or range of values for a service level that is measured by one or more Service Level Indicators.
DevOps

Service Mesh

Infrastructure layer for facilitating service-to-service communications between microservices.
DevOps

Service Reliability

Measure of a service's ability to perform its intended function consistently and without failure.
DevOps

Service Virtualisation

Practice of simulating the behavior of system components to enable continuous testing.
DevOps

Shadow APIs

Undocumented or unofficial APIs within an organization that may pose security risks or lead to inefficiencies if not properly managed.
DevOps

Shadow CD

Unofficial or unapproved continuous delivery practices within an organization, potentially bypassing established processes.
DevOps

Shadow IT

IT systems and solutions built and used inside organizations without explicit approval.
DevOps

Shared Responsibility Model

Cloud security framework that delineates security obligations of a cloud provider and its users.
DevOps

Shift Left

Practice of moving testing, quality, and performance evaluation earlier in the development process.
DevOps

Shift Right

Practice of extending testing and quality assurance into production environments.
DevOps

Shift-Left Security

Practice of integrating security earlier in the software development lifecycle, improving overall application security.
DevOps

Shift-Left Testing

Practice of performing testing earlier in the software development lifecycle to catch and fix issues sooner.
DevOps

Shift-Right Testing

Approach that extends testing into production environments, allowing for real-world validation and continuous improvement.
DevOps

SignalFx

Cloud monitoring and observability platform for infrastructure, microservices, and applications, enabling real-time analytics.
DevOps

Siloed Security

Approach where security is treated as a separate concern, not integrated with development and operations.
DevOps

Simian Army

Suite of tools created by Netflix to test the resiliency of its AWS infrastructure.
DevOps

Single Branch Development

Development practice where all work is done on a single branch in version control.
DevOps

Site Reliability Engineer (SRE)

IT professional who combines software and systems engineering to create scalable and reliable software systems.
DevOps

Site Reliability Engineering (SRE)

Discipline that incorporates aspects of software engineering and applies them to infrastructure and operations problems.
DevOps

Sitex

Tool for automating the setup and teardown of temporary environments, useful for testing and development purposes.
DevOps

Six Nines

Explore the pinnacle of system reliability: "six nines" uptime. Discover what 99.9999% availability means, its rarity, and the extreme measures required to achieve this DevOps feat.
DevOps

Slaughter

System administration tool designed for automating repetitive tasks across multiple servers, improving efficiency and consistency in IT operations.
DevOps

Smoke Testing

Preliminary testing to reveal simple failures severe enough to reject a prospective software release.
DevOps

Snapshot

Capture of the state of a system at a particular point in time, often used for backups.
DevOps

Snort

Open-source network intrusion detection and prevention system, capable of real-time traffic analysis and packet logging on IP networks.
DevOps

Soak Testing

Testing to determine system performance over an extended period of continuous use.
DevOps

Software Composition Analysis (SCA)

Model of software delivery where software is licensed on a subscription basis and centrally hosted.
DevOps

Software Deployment

Process of making software available and ready for use in a specific environment, including installation and configuration.
DevOps

Software Development Lifecycle (SDLC)

Structured process for planning, creating, testing, deploying, and maintaining software applications.
DevOps

Software Lifecycle

Entire process of software development from inception to retirement, including planning, development, testing, deployment, and maintenance.
DevOps

Software Stack

Set of software subsystems or components needed to create a complete platform for developing and running applications.
DevOps

Software as a Service (SaaS)

Model of software delivery where software is licensed on a subscription basis and centrally hosted.
DevOps

Source Control

Management of changes to documents, programs, and other information stored as computer files.
DevOps

Spaghetti Code

Code that is hard to read, understand, or maintain due to its complex and tangled structure.
DevOps

Spike Testing

Testing to determine how a system behaves under a sudden large increase in load.
DevOps

Sprint

Time-boxed iteration in Agile methodologies, typically 1-4 weeks long, during which a potentially shippable product increment is created.
DevOps

StackStorm

Open-source automation platform that connects all your apps, services, and workflows, enabling auto-remediation and security responses.
DevOps

Staging Environment

Pre-production environment that closely mimics the production environment, used for final testing before deployment.
DevOps

Standard Operating Procedures (SOPs)

Established procedures to be followed in carrying out a given operation or situation.
DevOps

Static Application Security Testing (SAST)

Process of analyzing source code to identify security vulnerabilities without executing the program.
DevOps

Status Page

Webpage displaying the current state of system's services and any known issues, crucial for transparent communication.
DevOps

Step

Individual task or action within a larger process or workflow, often used in the context of CI/CD pipelines or automation scripts.
DevOps

Strangler Fig Pattern

Technique for gradually migrating a legacy system by replacing pieces of functionality with new applications and services.
DevOps

Stream-aligned Team

Team organized around the flow of work, capable of delivering value directly to customers or users.
DevOps

Streamline Releases

Process of optimizing and simplifying the software release cycle to increase efficiency and reduce time-to-market.
DevOps

Structured Logging

Practice of implementing a consistent, predetermined message format for application logs.
DevOps

Stubs

Pieces of code used to stand in for some other programming functionality, often used in testing to simulate complex objects or processes.
DevOps

Sublime Text

Sophisticated text editor for code, markup, and prose, known for its speed, cross-platform support, and powerful features.
DevOps

SumoLogic

Cloud-native, machine data analytics platform that helps organizations gain real-time insights from logs, metrics, and other machine data.
DevOps

Sunzi

Lightweight server provisioning tool that simplifies the process of setting up and configuring servers using simple YAML files.
DevOps

Support-Level

Degree of technical assistance provided for a product or service, often tiered based on response times and scope of support.
DevOps

Swagger

Set of tools for designing, building, documenting, and consuming RESTful web services.
DevOps

Swift

General-purpose, multi-paradigm, compiled programming language developed by Apple.
DevOps

Synthetic Monitoring

Monitoring technique that uses scripted recordings or transactions to simulate user activity.
DevOps

Sysdig

Open-source system-level exploration and troubleshooting tool for Linux systems, providing deep visibility into system behavior.
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.

Ceph RadosGW

Object storage gateway for Ceph, providing S3-compatible API for container storage needs in Kubernetes.

Cgroup (Control Group)

Linux kernel feature for limiting, prioritizing, and isolating resource usage of container groups.

Change Data Capture (CDC)

Technique for tracking and capturing changes in databases, useful in microservices architectures.

Chaos Engineering in CI/CD

Practice of intentionally injecting failures in CI/CD pipelines to improve system resilience.

Chaos Mesh for Reliability Testing

Platform for simulating various abnormal scenarios in Kubernetes environments to test reliability.

Checkov for IaC Security Scanning

Static code analysis tool for detecting misconfigurations in Infrastructure as Code deployments.

Cilium

Open-source networking, observability, and security solution for container workloads based on eBPF.

Cilium Service Mesh

eBPF-powered service mesh offering high-performance traffic management and security for microservices.

Cilium's Hubble for Network Observability

Observability platform for Kubernetes providing deep visibility into container network flows.

Cilium's eBPF Datapath

High-performance networking mode in Cilium using extended Berkeley Packet Filter for packet processing and security.

CircleCI

Continuous integration and delivery platform supporting containerized application testing and deployment.

Circuit Breaker Pattern

Fault tolerance pattern preventing cascading failures in distributed containerized systems.

Circuit Breaking

Technique to detect failures and prevent system overload in microservices architectures, enhancing resilience.

Claim Check Pattern for Large Messages

Design pattern for handling large payloads in microservices by storing data externally, improving efficiency.

Clair for Static Image Analysis

Open-source tool for static analysis of vulnerabilities in container images, enhancing security.

Cloud Controller Manager

Kubernetes component managing interactions between cluster and cloud provider APIs, enabling cloud integration.

Cloud Native Application Bundle (CNAB)

Specification for packaging and managing distributed applications across different environments.

Cloud-Native Buildpacks

Tooling for building container images from source code without Dockerfiles, adhering to best practices.

Cloud-Native Design Patterns

Architectural patterns specifically tailored for distributed, containerized applications in cloud environments.

CloudEvents

Specification for describing event data in common formats, facilitating event-driven architectures in cloud environments.

CloudEvents Specification

Isolation technique in containerized microservices to prevent failure propagation across the system.

Cluster

Group of servers or other resources that work together as a single system to provide high availability.

Cluster API

Kubernetes project for declarative management and provisioning of clusters using Kubernetes-style APIs.

Cluster API Provider

Implementation of Cluster API for specific infrastructure providers, enabling cluster lifecycle management.

Cluster Autoscaler

Kubernetes component that automatically adjusts the size of a cluster based on resource demands.

Cluster Capacity Planning

Process of estimating and allocating resources needed for container workloads in a cluster.

Cluster Federation

Mechanism for coordinating multiple Kubernetes clusters, enabling multi-cluster application deployment and management.

Cluster Mesh

Interconnected network of container clusters, enabling cross-cluster communication and resource sharing.

Cluster Networking

Network configuration and management within and between container clusters, enabling inter-container communication.

Cluster Upgrade Process

Procedure for updating the Kubernetes version and components of a cluster while minimizing disruptions.

Cluster-level Logging

Centralized logging solution capturing logs from all containers and nodes in a cluster, aiding in troubleshooting.

ClusterAutoscaler

Kubernetes component that automatically adjusts the number of nodes in a cluster based on resource utilization.

ClusterIP

Kubernetes service type that exposes the service on an internal IP within the cluster, facilitating internal communication.

ClusterIP Services

Kubernetes services accessible only within the cluster, used for internal communication between pods.

ClusterRole

Kubernetes RBAC resource defining permissions across an entire cluster, not limited to a single namespace.

ClusterRoleBinding

Kubernetes RBAC resource that binds a ClusterRole to users, groups, or service accounts across all namespaces.

ClusterServiceVersion (CSV)

Custom resource in Operator Lifecycle Manager describing a specific version of an Operator.

Codefresh GitOps

GitOps platform for managing and automating containerized application deployments, streamlining CD workflows.

Cold Start Optimization

Techniques to reduce initialization time of containers, particularly important in serverless environments.

Compensating Transaction Pattern

Design pattern for handling failures in distributed container-based systems by reversing or compensating actions.

ConfigMap

Kubernetes API object used to store non-confidential data in key-value pairs, accessible by pods.

Consul Connect

Service mesh feature of Consul providing secure service-to-service communication with automatic TLS encryption.

Container

Standardized unit of software that packages code and all its dependencies for quick, reliable deployment.

Container Breakout Techniques

Methods used by attackers to escape container isolation and access the host system, posing security risks.

Container Engine

Software responsible for managing container lifecycle, including creation, execution, and destruction.

Container Escape

Security vulnerability allowing a process to break out of container isolation and access the host system.

Container Escape Prevention

Security measures and best practices to prevent containers from breaking out of their isolation.

Container Escape Vulnerabilities

Weaknesses in container runtimes or configurations that could allow processes to escape isolation.

Container Health Checks

Mechanisms to verify the health and readiness of containerized applications, ensuring service availability.

Container Host

Physical or virtual machine running the container runtime and hosting containers, providing the execution environment.

Container Image Promotion

Process of moving container images through different environments (e.g., dev, test, prod) in a controlled manner.

Container Image Signing

Cryptographic process of digitally signing container images to ensure their integrity and authenticity during distribution.

Container Lifecycle

Stages a container goes through from creation to termination, including running, paused, and stopped states.

Container Lifecycle Management

Processes and tools for managing containers throughout their lifecycle, from creation to deletion.

Container Logging

Process of capturing and managing log output from containerized applications for monitoring and troubleshooting.

Container Manifest

Configuration file specifying how to build a container image, including base image, commands, and environment setup.

Container Metrics

Quantitative measures of container performance, resource usage, and health, used for monitoring and optimization.

Container Network Interface (CNI)

Specification and libraries for configuring network interfaces in Linux containers, standardizing networking.

Container Network Interface (CNI) Spec

Standard for developing plugins to configure network interfaces in Linux containers, ensuring interoperability.

Container Networking Model

Architecture and principles governing how containers communicate within and across hosts in orchestrated environments.

Container Orchestration

Automated arrangement, coordination, and management of software containers, crucial in large-scale deployments.

Container Probes (Liveness, Readiness, Startup)

Kubernetes mechanisms (liveness, readiness, startup) for checking container health and controlling lifecycle.

Container Real User Monitoring (RUM)

Technique for capturing and analyzing real user interactions with containerized applications.

Container Restart Policies

Rules defining how containers should be restarted in case of failures or exits, enhancing application resilience.

Container Runtime

Software responsible for running containers, managing their lifecycle from creation to deletion.

Container Runtime Security

Measures and tools to protect containers during execution, preventing unauthorized access or malicious activities.

Container Shims

Lightweight processes that manage the lifecycle of containers and provide abstraction between runtimes.

Container Storage Interface (CSI)

Standardized interface for container orchestration platforms to interact with storage systems.

Container Storage Interface (CSI) Spec

Standard for developing storage plugins for container orchestration platforms, enabling storage extensibility.

Container Vulnerability Scanning

Process of identifying security vulnerabilities in container images and their dependencies.

Content Trust

Mechanism for verifying the integrity and authenticity of container images before deployment.

Continuous Deployment

Automated process of releasing container images to production environments after passing tests.

Continuous Verification

Ongoing process of validating deployed containers against defined policies and expectations.

Contiv-VPP for High-performance Networking

Container networking solution using VPP (Vector Packet Processing) for optimized performance.

Contract-First API Development

Approach prioritizing API definition before implementation, crucial for microservices architecture.

Control Groups (cgroups)

Linux kernel feature for limiting, prioritizing, and isolating resource usage of container groups.

Control Plane

Components managing the overall state of a container cluster, including API server, scheduler, and controllers.

Control Plane Upgrade

Process of updating the core components of a container orchestration system while maintaining cluster stability.

Controller Manager

Kubernetes component running controller processes to regulate the state of the cluster, maintaining desired state.

Controller Runtime

Software framework for building Kubernetes controllers and operators, simplifying custom resource management.

Conversion Webhooks

Kubernetes feature allowing custom resource API version conversions via external webhooks.

Copy-on-Write (CoW)

Storage optimization technique used in container filesystems to reduce duplication and improve efficiency.

Cordon

Process of marking a node as unschedulable in Kubernetes, preventing new pods from being assigned to it.

CoreDNS

Flexible, extensible DNS server used for service discovery in Kubernetes clusters, replacing kube-dns.

Cortex

Horizontally scalable, multi-tenant, long-term storage for Prometheus metrics, enhancing monitoring capabilities.

Cortex for Multi-tenant Prometheus

Use of Cortex to provide isolated Prometheus monitoring for multiple users or teams in shared environments.

CronJob

Kubernetes object for creating time-based jobs, running containers on a schedule for automated tasks.

CronJob Patterns

Kubernetes patterns for running batch processes and scheduled tasks in containerized environments.

Cross-namespace Operators

Kubernetes operators capable of managing resources across multiple namespaces, enabling broader automation.

Custom Metrics API

Kubernetes API extension allowing pods to consume custom metrics for autoscaling and monitoring.

Custom Resource

Extension of the Kubernetes API that defines new, custom resource types specific to a cluster's needs.

Custom Resource Conversion

Process of converting custom resources between different API versions in Kubernetes, enabling API evolution.

Custom Resource Definition (CRD)

Kubernetes API extension allowing the definition of custom resources, enabling cluster customization.

Custom Resource Definitions (CRDs)

Kubernetes feature for extending the API with custom resources, enabling cluster customization.

Custom Resources

User-defined API objects in Kubernetes, extending the core functionality of the platform for specific use cases.

Custom Scheduler

Alternative or additional scheduler implementation for Kubernetes, allowing custom pod placement logic.

Custom Schedulers

Alternative scheduling implementations in Kubernetes for custom pod placement strategies, enabling specialized scheduling logic.

DNS for Services and Pods

Kubernetes feature providing DNS-based service discovery for containers within the cluster.

DPDK in Container Networks

Use of Data Plane Development Kit for high-performance packet processing in container networks.

DaemonSet

Kubernetes object ensuring that all (or some) nodes run a copy of a specific pod, useful for cluster-wide services.