Engineering Glossary

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

DevOps
Cloud Computing
Git
Containerization & Orchestration

I/O Throughput

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

IAST

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

IDE

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

IIS Log Viewer

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

IIS Server

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

IOPS (Input/Output Operations per Second)

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

IT Infrastructure

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

IT Operations

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

IT Operations Management (ITOM)

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

ITSI

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

IaC (Infrastructure as Code)

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

IaaS (Infrastructure-as-a-Service)

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

Icinga

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

Identity and Access Management (IAM)

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

Improper Assets Management

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

Incident

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

Incident Management

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

Incident Prozess

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

Incident Response

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

Indicators of Compromise (IoC)

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

InfluxDB

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

Information Security Management

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

Infrastructure

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

Infrastructure Drift

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

Infrastructure Management (IM)

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

Infrastructure Metrics

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

Infrastructure Monitoring

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

Infrastructure Resilience

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

Infrastructure as Code (IaC)

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

Infrastructure as Code (IaC) Framework

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

Infrastructure as Data

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

Infrastructure as Software

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

Infrastructure on Demand

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

Infrastructure-as-a-Service (IaaS)

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

Ingress Controller

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

Injection

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

Insecure Deserialization

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

Insecure Direct Object Reference (IDOR)

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

Instance

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

Insufficient Logging & Monitoring

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

Integration Testing

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

Intelligent Automation

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

Interactive Application Security Testing (IAST)

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

Internal Developer Platform (IDP)

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

Internal Threat Intelligence

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

Inventory Hoarding

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

Ionic

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

Issue Tracking

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

Iterations

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

JVM Heap

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

JVM Threads

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

Jamstack

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

Jcloud

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

Jenkins

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

Jenkins Job

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

Jenkins Pipeline

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

Jest

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

Jetpack Compose

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

Jira

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

Juju

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

KISS (Keep it simple, stupid)

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

Kafka

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

Kaizen

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

Kanban

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

Kanban Board

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

Kata

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

Keystroke Loggers

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

Kibana

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

Kickstart

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

Kubernetes

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

Kubernetes (K8s)

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

Kubernetes (Ks)

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

Kubernetes Cronjobs

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

Kubernetes Monitoring

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

Kubernetes Operator

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

Kubernetes Pod

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

Kubernetes QoS

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

Kubernetes Replica

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

Kubernetes Workloads

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

Lack of Resources

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

Largest Contentful Paint (LCP)

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

Lead Time

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

Lead Time for Changes

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

Leaking API

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

Lean

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

Lean IT

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

Legacy Application

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

Linux

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

Linux Out of Memory Killer (OOM Killer)

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

Load Balancer

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

Load Balancing

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

Local File Inclusion (LFI)

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

Log Aggregation

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

Log Analysis

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

Log Drain

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

Log Every Change

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

Log File

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

Log Levels

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

Log Management

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

Log Management Policy

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

@mention

A feature in Git platforms that allows users to notify specific team members or reference issues by using the @ symbol followed by a username.
API preview

API preview

A feature allowing developers to test and provide feedback on new Git API functionality before it's officially released.
Bare Repository

Bare Repository

A Git repository containing version control information without a working directory, typically used as a central repository for collaboration.
Bisect

Bisect

A Git command used to perform a binary search through a repository's history to identify the commit that introduced a bug or issue.
Bitbucket Pipelines

Bitbucket Pipelines

An integrated CI/CD service in Bitbucket for automating builds, tests, and deployments.
Blame

Blame

A Git feature that shows which user last modified each line of a file, helping developers trace changes and understand code history.
Blamestorming

Blamestorming

A collaborative process of analyzing Git blame information to identify the source of bugs or issues in a codebase.
Branch

Branch

A parallel version of a repository, allowing developers to work on different features or experiments without affecting the main codebase.
Branch policies

Branch policies

Rules enforced on Git branches to ensure code quality, require reviews, or restrict certain actions before merging.
Business plan

Business plan

A premium subscription tier offered by Git hosting services, providing advanced features and support for enterprise users.
CA certificate

CA certificate

A digital certificate issued by a Certificate Authority, used in Git to establish secure HTTPS connections and verify server identities.
Cache

Cache

A temporary storage area that holds frequently accessed data for quick retrieval, improving system performance.
Checkout

Checkout

A Git command used to switch between different branches or restore files from a specific commit in a repository's history.
Cherry-Pick

Cherry-Pick

A Git operation that applies the changes from a specific commit to the current branch, useful for selective code integration.
Cherry-picking

Cherry-picking

The practice of selecting and applying specific commits from one branch to another in Git, often used for targeted bug fixes.
Clone

Clone

The process of creating a local copy of a remote Git repository, allowing developers to work on the codebase independently.
Code owners file

Code owners file

A file specifying individuals or teams responsible for code in different parts of a repository.
Commit

Commit

Operation in version control systems that saves changes to the local repository, creating a new revision with a unique identifier.
Conflict

Conflict

A situation in Git where incompatible changes have been made to the same part of a file, requiring manual resolution before merging.
Continuous Integration

Continuous Integration

Practice of merging all developer working copies to a shared mainline several times a day.
DAG (Directed Acyclic Graph)

DAG (Directed Acyclic Graph)

Directed Acyclic Graph, the underlying data structure used by Git to represent the commit history and relationships between commits.
Detach HEAD

Detach HEAD

A Git operation that moves the HEAD pointer to a specific commit, allowing for temporary exploration of historical states.
Diff

Diff

A Git command or operation that shows the differences between two commits, branches, files, or other Git objects.
Downstream

Downstream

Refers to the direction of change propagation in Git, typically from a parent branch to its child branches or forks.
Explorer

Explorer

A feature in Git platforms for browsing repository contents, viewing files, and navigating through different branches.
Feature branch workflow

Feature branch workflow

A Git pattern where each new feature is developed in a dedicated branch, then merged back to the main branch.
Fetch

Fetch

A Git command that retrieves changes from a remote repository without automatically merging them into the local branch.
Force Push

Force Push

A Git push operation that overwrites the remote branch's history with the local branch, potentially causing data loss if used carelessly.
Fork

Fork

A personal copy of another user's repository on a Git hosting platform, allowing independent development without affecting the original project.
Free plan

Free plan

A no-cost tier offered by Git hosting services, typically with limited features and storage for individual users or small projects.
GPG (GNU Privacy Guard)

GPG (GNU Privacy Guard)

An encryption software used with Git for signing commits and tags, enhancing security and verification.
Gist

Gist

A simple way to share code snippets, notes, or small files using Git, often integrated into Git platforms.
Git

Git

Distributed version control system for tracking changes in source code during software development.
Git Alias

Git Alias

A custom shortcut command defined by users to simplify complex or frequently used Git operations.
Git Alternates

Git Alternates

A mechanism in Git allowing a repository to borrow objects from another repository, useful for saving disk space in large projects.
Git Annotate

Git Annotate

A Git command that shows the author and commit information for each line in a file, similar to the "blame" feature.
Git Assume Unchanged

Git Assume Unchanged

A Git feature that tells the system to temporarily ignore changes to a tracked file, useful for local configuration files.
Git Attributes

Git Attributes

A mechanism in Git for defining attributes on a per-path basis, controlling how Git handles certain files or directories.
Git Bisect

Git Bisect

A Git command used to perform a binary search through the commit history to find the commit that introduced a bug.
Git Bisect Run

Git Bisect Run

An automated version of Git Bisect that uses a script to determine if each checked-out commit is "good" or "bad".
Git Blame -C (Copy Detection)

Git Blame -C (Copy Detection)

An enhanced version of Git Blame that detects lines moved or copied from other files, providing better change tracking.
Git Bundle

Git Bundle

A Git command that creates a single file containing all the data needed to recreate a repository's branch or history.
Git Bundle Create/Verify

Git Bundle Create/Verify

Commands to create and verify Git bundles, useful for transferring repository data without using a network.
Git Cheat Sheet

Git Cheat Sheet

A quick reference guide summarizing common Git commands and their usage, helpful for both beginners and experienced users.
Git Cherry

Git Cherry

A Git command used to find commits that haven't been merged upstream, useful for identifying changes to be applied to another branch.
Git Clean

Git Clean

A command to remove untracked files from the working directory, helping to maintain a clean repository state.
Git Commit --amend

Git Commit --amend

A command that allows you to modify the most recent commit, adding new changes or updating the commit message.
Git Commit Amend

Git Commit Amend

A command that allows you to modify the most recent commit, changing its message or contents, and update it without creating a new commit.
Git Commit Hooks

Git Commit Hooks

Scripts that run automatically before or after a commit, allowing you to enforce rules, format code, or perform checks on changes.
Git Commit Templates

Git Commit Templates

Predefined structures for commit messages, helping maintain consistency and include necessary information in commits.
Git Commit Trailers

Git Commit Trailers

Metadata added to the end of commit messages, often used for things like issue references or sign-offs.
Git Commit-graph

Git Commit-graph

A file format used to store commit graph structure, improving performance for operations that traverse commit history.
Git Commit-graph Verify

Git Commit-graph Verify

A command to check the integrity and validity of the commit-graph file in a Git repository.
Git Commit-tree

Git Commit-tree

A low-level Git command used to create a new commit object from an existing tree object.
Git Config

Git Config

A command and system for setting configuration options for Git on a global, local, or repository level.
Git Count-objects

Git Count-objects

A diagnostic command that provides statistics about the number and size of objects in a Git repository.
Git Credential Helper

Git Credential Helper

A system that securely stores and retrieves credentials for Git operations, reducing the need for manual authentication.
Git Daemon

Git Daemon

A lightweight server for the Git protocol, allowing anonymous read access to Git repositories.
Git Dangling Objects

Git Dangling Objects

Objects in Git that are not reachable from any reference, often created during rebasing or other history-altering operations.
Git Describe

Git Describe

A command that generates a human-readable name for a commit based on the most recent tag and additional commit information.
Git Diff

Git Diff

A command that shows changes between commits, branches, files, or the working directory and the index.
Git Diff Algorithms

Git Diff Algorithms

Various methods used by Git to compute differences between versions of files, optimizing for different scenarios.
Git Diff Tool

Git Diff Tool

An external program or interface used to visualize differences between files or commits in a more user-friendly manner.
Git Fetch --All

Git Fetch --All

A command that fetches updates from all remote repositories configured in a Git project.
Git Filter-branch

Git Filter-branch

A powerful tool for rewriting Git history, allowing for large-scale changes across many commits.
Git Flow

Git Flow

A branching model for Git that defines a strict branching structure designed to support multiple parallel developments.
Git Fork

Git Fork

The process of creating a personal copy of someone else's project, allowing for independent development without affecting the original.
Git Fsck

Git Fsck

A command that verifies the connectivity and validity of objects in the Git database.
Git Fsck (File System Check)

Git Fsck (File System Check)

Verifies the integrity of objects in the Git database, checking for corruption and inconsistencies.
Git GPG verification

Git GPG verification

A security feature in Git that uses GPG to sign and verify commits and tags, ensuring authenticity.
Git Garbage Collection (gc)

Git Garbage Collection (gc)

A process that optimizes the Git repository by removing unnecessary files and compressing objects.
Git Gc (Garbage Collection)

Git Gc (Garbage Collection)

Short for Git Garbage Collection, a command to clean up unnecessary files and optimize the repository.
Git Grep

Git Grep

A command for searching files in a Git repository using regular expressions or simple string matching.
Git Hook

Git Hook

A script that Git automatically runs before or after specific events, like commits or merges, to customize workflows and enforce rules.
Git Hooks

Git Hooks

Same as Git Hook, scripts triggered by various Git actions to automate tasks or enforce policies.
Git Ignore

Git Ignore

A mechanism to specify intentionally untracked files that Git should ignore, typically defined in a .gitignore file.
Git Index Format

Git Index Format

The internal format used by Git to store the staging area information, representing the next commit to be made.
Git Init

Git Init

A command used to initialize a new Git repository, creating the necessary directory structure for version control.
Git Interactive Rebase

Git Interactive Rebase

A feature allowing users to modify commits in their branch history, useful for cleaning up before merging.
Git Internals (objects, refs, etc.)

Git Internals (objects, refs, etc.)

The underlying data structures and mechanisms Git uses to store and manage version control information.
Git Interpret-trailers

Git Interpret-trailers

A command to parse and manipulate the trailer lines typically found at the end of commit messages.
Git LFS (Large File Storage)

Git LFS (Large File Storage)

A system that manages large files by storing them outside the main repository, replacing them with lightweight pointers to improve performance and efficiency.
Git Large File Storage (LFS)

Git Large File Storage (LFS)

An extension that replaces large files with text pointers in Git, while storing the file contents on a remote server.
Git Log

Git Log

A command to display the commit history of a repository, showing details like author, date, and commit message.
Git Maintenance

Git Maintenance

A set of tasks performed to keep a Git repository in good condition, including garbage collection and optimization.
Git Merge Strategies

Git Merge Strategies

Different algorithms used by Git to combine separate development histories when merging branches.
Git Merge Tools

Git Merge Tools

External programs or interfaces used to resolve merge conflicts in a more visual and user-friendly manner.
Git Merge-base

Git Merge-base

A command that finds the best common ancestor between two commits, useful for determining the point where branches diverged.
Git Multi-pack Index (MIDX)

Git Multi-pack Index (MIDX)

A feature that improves performance for repositories with many pack files by creating an index across multiple packs.
Git Namespaces

Git Namespaces

A feature allowing multiple references (like branches or tags) with the same name to coexist by separating them into different namespaces.
Git Notes

Git Notes

A way to add or inspect object notes, allowing additional information to be attached to Git objects without changing their SHA-1 hash.
Git Object Storage

Git Object Storage

The system Git uses to store all the versions of files, commits, and other objects in a content-addressable filesystem.
Git Pack Files

Git Pack Files

Compressed files containing Git objects, used to efficiently store and transfer repository data.
Git Packfile Format

Git Packfile Format

The internal format used by Git to store multiple objects efficiently in a single file, reducing disk usage and improving performance.
Git Partial Clone

Git Partial Clone

A feature allowing users to clone a repository without downloading all of its objects, saving bandwidth and storage.
Git Patch

Git Patch

A file format representing changes between versions, used for sharing and applying modifications across different repositories.
Git Plumbing Commands

Git Plumbing Commands

Low-level Git commands that expose the internal workings of Git, primarily used for scripting and advanced operations.
Git Porcelain Commands

Git Porcelain Commands

User-friendly commands for everyday tasks, like git status and git commit, designed for ease of use and clear output.
Git Protocol

Git Protocol

The native network protocol used by Git for efficient data transfer between repositories.
Git Prune

Git Prune

A command that removes objects that are no longer reachable from any references in the repository.

Model Versioning

Managing different iterations of machine learning models in cloud-based development pipelines.

Module Registry

Repository for storing and managing reusable software components in cloud development environments.

Molecular Data Storage

Experimental technique using molecules to store digital data, potentially integrated with cloud systems.

Multi-Account Management

Tools and practices for managing multiple cloud accounts within an organization.

Multi-Cloud

Using services from multiple cloud providers in a single architecture, optimizing for cost, performance, and redundancy.

Multi-Cloud Integration Hubs

Centralized platforms for managing data and application integrations across multiple cloud providers.

Multi-Cloud Load Balancing

Distributing workloads across multiple cloud providers to optimize performance and reliability.

Multi-Cloud Management

Tools and practices for administering resources and applications across multiple cloud providers.

Multi-Cloud Network Fabrics

Technologies enabling seamless networking across multiple cloud provider environments.

Multi-Cloud Service Mesh Management

Coordinating microservices communication and security across multiple cloud environments.

Multi-Factor Authentication (MFA)

Security system requiring two or more verification methods to access cloud resources.

Multi-Model Databases

Database systems supporting multiple data models (e.g., document, graph, relational) in a single backend.

Multi-Region Replication

Copying data across multiple geographic regions in cloud environments for redundancy and disaster recovery.

Multi-access Edge Computing (MEC)

Bringing cloud capabilities closer to the network edge for improved performance and reduced latency.

Multi-cloud Cost Management

Tools and strategies for monitoring and optimizing expenses across multiple cloud providers.

Multi-cloud Cost Optimization

Strategies to minimize expenses and maximize efficiency when using multiple cloud providers.

Multi-cloud Disaster Recovery

Implementing backup and failover systems across multiple cloud providers for enhanced resilience.

Multi-cloud Networking

Connecting and managing network resources across multiple cloud provider environments.

Multi-cloud Security

Strategies and tools for protecting data and applications across multiple cloud provider environments.

Multicloud Data Controllers

Tools for managing and orchestrating data across multiple cloud provider environments.

Multicloud Networking Fabric

Unified network architecture spanning multiple cloud providers for seamless connectivity.

Multimodal AI Platforms

Cloud services supporting AI models that can process and integrate multiple types of data (e.g., text, image, audio).

Multimodal Cloud Interfaces

User interfaces that combine multiple input/output methods (e.g., voice, touch, gesture) for cloud service interaction.

Multimodal Data Fusion Platforms

Cloud services for integrating and analyzing data from various sources and formats.

NAT Gateway

Service that enables private subnet instances to connect to the internet or other AWS services.

Namespace

Isolated environment within a cluster to organize and manage resources in cloud platforms.

Natural Language Cloud Command Interfaces

Systems allowing users to interact with cloud services using conversational language.

Natural Language Processing (NLP)

AI technology for understanding, interpreting, and generating human language in cloud environments.

Natural Language Processing as a Service

Cloud-based platforms offering pre-built NLP models and APIs for text analysis and generation.

Near-Edge Data Centers

Smaller data centers located closer to end-users for reduced latency in cloud service delivery.

Neomorphic Design for Cloud Interfaces

UI design approach mimicking physical objects for intuitive cloud service interaction.

Network ACLs

Rules controlling inbound and outbound traffic for subnets in cloud virtual networks.

Network Access Control List (NACL)

Stateless firewall for controlling traffic in and out of cloud subnets, enhancing network security.

Network Address Translation (NAT)

Process of modifying network address information to route traffic between private and public networks.

Network Function Virtualization (NFV)

Virtualizing network services traditionally run on proprietary hardware in cloud environments.

Network Observability Platforms

Tools for monitoring, analyzing, and troubleshooting cloud network performance and behavior.

Network Performance Monitoring

Tools and practices for measuring and optimizing network performance in cloud environments.

Network Service Mesh

Technology for managing and securing service-to-service communication in cloud-native environments.

Network Telemetry

Collecting and analyzing network data for visibility and troubleshooting in cloud environments.

Network Traffic Optimization

Techniques for improving the efficiency and performance of data flow in cloud networks.

Network-as-Code

Defining and managing network infrastructure using code in cloud environments, enabling automated and version-controlled networking.

Neural Architecture Search (NAS) as a Service

Cloud-based automated design of optimal neural network architectures for specific AI tasks.

Neuro-Symbolic AI Frameworks

Cloud platforms combining neural networks with symbolic reasoning for more robust AI systems.

Neuro-symbolic AI Systems

Cloud-based AI integrating neural networks and symbolic AI for enhanced reasoning capabilities.

Neuromorphic Cloud Computing

Cloud services using brain-inspired computing architectures for improved efficiency in AI tasks.

Neuromorphic Computing Services

Cloud platforms providing access to brain-inspired computing architectures for AI applications.

Neuromorphic Computing as a Service

Cloud-based offerings of brain-inspired computing architectures for specialized AI workloads.

Neuromorphic Hardware Acceleration

Cloud-based AI processing using brain-inspired chip designs for improved efficiency and performance.

NewSQL Databases

Cloud databases combining the scalability of NoSQL with the ACID guarantees of traditional relational databases.

NoSQL Database (e.g., Amazon DynamoDB, Azure Cosmos DB)

Non-relational databases designed for flexible, scalable data storage and retrieval in cloud environments.

Non-Volatile Memory Express (NVMe) over Fabrics

High-performance storage protocol for accessing SSDs over network fabrics in cloud environments.

OLAP (Online Analytical Processing)

Technology for quickly analyzing multidimensional data from multiple perspectives in cloud databases.

Object Storage

Cloud storage for unstructured data, accessed via APIs and organized as objects rather than files.

Object Storage (e.g., Amazon S3, Azure Blob Storage)

Scalable cloud storage services for unstructured data, accessible via APIs, ideal for large-scale data storage and retrieval.

Object Storage Gateways

Devices or software providing local access to cloud-based object storage systems.

Observability Data Lakes

Centralized repositories for storing and analyzing large volumes of observability data in cloud environments.

Observability Data Pipelines

Systems for collecting, processing, and routing observability data in cloud environments.

Observability-Driven Development

Software development approach prioritizing built-in monitoring and debugging in cloud applications.

Olfactory Data Processing in the Cloud

Analyzing and interpreting scent-related data using cloud computing resources, enabling digital olfactory applications.

On-Device Machine Learning

Running ML models on edge devices, reducing reliance on cloud processing for certain tasks.

Online Analytical Processing (OLAP)

Technology for rapid analysis of multidimensional data in cloud-based data warehouses.

OpenFaaS

Open-source framework for building serverless functions with Docker and Kubernetes in cloud environments.

Operator Pattern

Kubernetes extension for automating application management tasks in cloud-native environments.

Optical Computing in the Cloud

Using light-based processing for high-speed, energy-efficient computation in cloud data centers.

Over-the-Air (OTA) Updates

Remote software updates for devices connected to cloud services, often used for IoT.

PCI DSS Compliance in the Cloud

Adhering to Payment Card Industry Data Security Standard requirements in cloud environments.

Partitioning

Dividing large datasets or databases into smaller, more manageable parts in cloud storage systems.

Pay-as-you-go Model

Pricing structure where users only pay for the cloud resources they actually use.

Pay-as-you-go Pricing

Billing model where customers are charged based on their actual usage of cloud resources.

Pay-per-execution Model

Pricing scheme where users are billed only when their serverless functions are invoked.

Peering Connection

Direct network link between two virtual private clouds, often in different accounts or regions.

Penetration Testing in the Cloud

Simulated cyberattacks to evaluate the security of cloud-based systems and applications.

Persistent Memory

Non-volatile memory that combines speed of DRAM with data persistence, used in cloud storage systems.

Persistent Volumes

Storage resources in cloud environments that exist independently of any specific pod or container.

Photonic Integrated Circuits for Data Centers

Light-based chips for high-speed data processing in cloud infrastructure, improving energy efficiency.

Pipeline as Code

Defining and managing continuous integration/deployment workflows using code in cloud environments.

Point-in-Time Recovery

Ability to restore cloud-based data to a specific moment in the past, enabling granular data recovery options.

Policy Enforcement

Implementing and maintaining security and compliance rules across cloud resources.

Policy Management

Creating, updating, and enforcing rules governing cloud resource usage and security.

Polyglot FaaS (Function as a Service)

Serverless platform supporting multiple programming languages for cloud function development.

Polyglot Persistence

Using multiple data storage technologies to handle varied data storage needs in cloud applications.

Polyglot Serverless Development

Creating serverless applications using multiple programming languages in cloud environments.

Post-Migration Optimization

Refining and improving cloud-based systems after initial migration from on-premises.

Post-Quantum Cryptography Implementation

Deploying encryption methods resistant to quantum computer attacks in cloud systems.

Power Usage Effectiveness (PUE)

Metric for measuring energy efficiency of cloud data centers, comparing total power consumption to IT equipment power usage.

Predictive Auto-Scaling

Using AI to anticipate resource needs and adjust cloud capacity automatically, optimizing performance and cost-efficiency.

Predictive Capacity Planning

Using data analytics and machine learning to forecast future cloud resource requirements and optimize infrastructure.

Predictive Maintenance

Using data analytics to anticipate and prevent equipment failures in cloud infrastructure.

Prescriptive Analytics

Advanced analytics providing recommendations for actions in cloud-based decision making.

Pricing Calculator

Tool for estimating costs of cloud services based on expected usage, helping in budgeting and resource planning.

Privacy-Enhancing Computation (PEC)

Techniques for processing sensitive data while preserving privacy in cloud environments.

Privacy-Enhancing Technologies (PETs)

Tools and methods for protecting personal data privacy in cloud computing, ensuring compliance and user trust.

Privacy-Preserving Analytics

Techniques for analyzing data in the cloud while maintaining individual privacy.

Privacy-Preserving Data Mining

Extracting useful information from large datasets without compromising individual privacy in the cloud.

Privacy-Preserving Data Science

Performing data analysis in the cloud while protecting sensitive information, balancing insights with data privacy.

Private 5G Networks

Dedicated 5G networks deployed for specific enterprise use, often integrated with cloud services.

PrivateLink

Service enabling private connectivity between VPCs, AWS services, and on-premises applications.

Privileged Access Management (PAM)

Tools for securing, controlling, and monitoring access to critical cloud resources and data.

Probabilistic Data Structures in the Cloud

Memory-efficient data structures for approximate data analysis in cloud environments.

Programmable Data Planes

Network architectures allowing customization of data packet processing in cloud infrastructure.

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.