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
index entry

index entry

A record in Git's index file representing the state of a file in the repository.
integration

integration

A connection between Git and other tools or services to enhance functionality and workflow.
key fingerprint

key fingerprint

A short sequence of bytes used to identify a longer public key in Git's GPG signing process.
keychain

keychain

A secure storage system for passwords and keys, often integrated with Git clients for credential management.
keyword

keyword

A reserved word in Git commands or configurations with a specific meaning or function.
label

label

A way to categorize and organize issues and pull requests in GitHub repositories.
license

license

A document in a Git repository specifying how the project can be used, modified, and distributed.
line comment

line comment

A feature in Git platforms allowing users to comment on specific lines of code in pull requests or commits.
line ending

line ending

Characters marking the end of a line, which can cause issues in Git when collaborating across different operating systems.
locked personal account

locked personal account

A GitHub account that has been restricted due to a violation of terms of service or suspicious activity.
main

main

The default name for the primary branch in many Git repositories, replacing 'master' in recent conventions.
management console

management console

An administrative interface for managing Git hosting services, often used in enterprise environments.
markup

markup

A system of annotation used to format text, often used in Git documentation and comments.
members graph

members graph

A visual representation of an organization's membership on Git hosting platforms.
merge conflict

merge conflict

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

milestone

A way to track progress on groups of issues or pull requests in GitHub projects.
mirror

mirror

A complete copy of a repository, including all branches and history, often used for backup or as a full replica.
nested team

nested team

A team within a GitHub organization that is a subset of a larger team, inheriting its permissions.
network graph

network graph

A visual representation of the commit history and branch structure of a Git repository.
news feed

news feed

A personalized list of recent activity on Git platforms, showing updates from followed users and repositories.
non-fast-forward

non-fast-forward

A Git push that introduces new commits to the remote branch that aren't direct descendants of the current remote HEAD.
notification

notification

An alert system on Git platforms to inform users about relevant activities and mentions.
object

object

A fundamental unit in Git's data model, representing content, commits, trees, or tags, identified by a unique SHA-1 hash.
object database

object database

The storage system in Git that contains all versions of project files and metadata, organized by SHA-1 hashes.
object identifier (oid)

object identifier (oid)

A unique SHA-1 hash that identifies a Git object, ensuring data integrity and enabling content-addressable storage.
object name

object name

Another term for the SHA-1 hash that uniquely identifies a Git object in the repository.
object type

object type

The classification of Git objects, including blob (file content), tree (directory structure), commit, and tag.
octopus

octopus

A Git merge involving more than two branches simultaneously, creating a commit with multiple parents.
organization

organization

A shared account on Git hosting platforms where businesses and open-source projects can collaborate across many projects.
organization owner

organization owner

A user with administrative privileges for an organization account on Git hosting platforms.
orphan

orphan

A branch in Git with no parent commit, typically used to start a new history unrelated to existing branches.
outside collaborator

outside collaborator

A user granted access to a repository but not a member of the organization that owns the repository.
overlay

overlay

A Git feature that allows files from one branch to temporarily override files in another branch without merging.
owner

owner

The user or organization with administrative rights to a Git repository, controlling access and settings.
pack

pack

A compressed file format used by Git to store multiple objects efficiently, reducing repository size.
pack index

pack index

A file that provides fast random access to objects stored within a packfile in Git.
parent

parent

A commit from which another commit is derived, establishing the hierarchical relationship in Git history.
parent team

parent team

A team in a Git platform that grants its permissions to nested sub-teams within an organization.
participating notifications

participating notifications

Alerts received when you're directly involved in repository activities like being assigned or mentioned.
pathspec

pathspec

A pattern used in Git commands to limit the scope of operations to specific files or directories.
peel

peel

The process of recursively dereferencing a Git object to reveal its underlying object type.
per-worktree ref

per-worktree ref

A reference specific to a particular working tree in a Git repository with multiple worktrees.
permalink

permalink

A URL that points to a specific version of a file or directory in a Git repository, ensuring consistent reference.
personal account

personal account

An individual account on Git platforms, used for personal projects and contributions.
pickaxe

pickaxe

A Git feature for searching the repository history to find when a particular change was introduced.
pinned repository

pinned repository

A featured repository prominently displayed on a user's or organization's profile page on their Git hosting platform of choice.
plumbing

plumbing

Low-level Git commands that expose internal workings, primarily used for scripting and advanced operations.
porcelain

porcelain

High-level Git commands designed for everyday use, providing a user-friendly interface to common version control tasks.
pre-receive hooks

pre-receive hooks

Server-side scripts that run before pushed commits are accepted, used to enforce policies or perform checks.
primary email address

primary email address

The main email associated with a Git account, used for communications and commit author identification.
private contributions

private contributions

Contributions made to private repositories, typically only visible to repository collaborators.
private repository

private repository

A Git repository with restricted access, visible only to the owner and explicitly granted collaborators.
production branch

production branch

A Git branch that represents the stable, deployed version of a project, often protected from direct changes.
profile

profile

A user's public page on a Git platform, displaying information about their activity and repositories.
profile photo

profile photo

An image representing a user on a Git platform, displayed alongside their contributions and activities.
project board

project board

A kanban-style board in Git platforms for organizing and prioritizing project issues and pull requests.
protected branch

protected branch

A branch with rules enforcing certain conditions before changes can be pushed, merged, or deleted.
pseudoref

pseudoref

A Git reference that doesn't follow the standard refs format but is treated similarly, like HEAD or MERGE_HEAD.
public contributions

public contributions

Contributions made to public repositories, visible on a user's profile and activity feed.
public repository

public repository

A Git repository that is openly accessible to anyone, allowing viewing and often cloning without authentication.
pull access

pull access

Permission level in Git allowing a user to clone a repository and fetch updates, but not push changes.
pull request review

pull request review

The process of examining proposed changes in a pull request before they are merged into the main codebase.
pulse graph

pulse graph

A visual representation of a GitHub repository's recent activity, including commits, issues, and pull requests.
punch graph

punch graph

A visualization of commit frequency over time, often displayed as a heatmap on Git platforms.
push a branch

push a branch

The act of uploading commits from a local branch to a corresponding branch in a remote Git repository.
push access

push access

Permission to upload local changes to a remote Git repository, allowing direct modification of shared branches.
reachability bitmaps

reachability bitmaps

Data structures used to optimize Git operations by quickly determining which objects are reachable from a given commit.
reachable

reachable

Git objects that can be accessed by following the commit history from a given reference point.
read access

read access

Permission to view and clone a Git repository without the ability to make changes or push commits.
recovery code

recovery code

A backup method for accessing a Git account if two-factor authentication is enabled but unavailable.
ref

ref

A name that points to a specific Git object, typically a commit, such as branches or tags.
refs

refs

The collection of references in a Git repository, including branches, tags, and other named pointers to commits.
remote URL

remote URL

The address of a remote Git repository, used for fetching and pushing changes between local and remote repositories.
remote repository

remote repository

A version of a Git project hosted on a server, serving as a central point for collaboration and backup.
remote-tracking branch

remote-tracking branch

A local reference that represents the state of a corresponding branch in a remote repository.
replica

replica

A copy of a Git repository, often used in distributed systems for redundancy and load balancing.
repository cache

repository cache

A local storage of repository data used to improve performance in Git operations.
repository graph

repository graph

A visual representation of the commit history and branch structure in a Git repository.
repository maintainer

repository maintainer

A person responsible for managing a Git repository, reviewing contributions, and maintaining project quality.
required pull request review

required pull request review

A protection rule requiring one or more reviewers to approve changes before merging in Git platforms.
required status check

required status check

A condition that must be met, such as passing tests, before changes can be merged into a protected branch.
resolve

resolve

The process of addressing and fixing merge conflicts in Git, typically done manually by the developer.
revert

revert

A Git operation that creates a new commit that undoes the changes made by a previous commit.
review

review

The process of examining proposed changes in a pull request before merging them into the main codebase.
revision

revision

A specific version of a file, directory, or entire repository in Git, often referenced by a commit hash.
rewind

rewind

The act of moving a branch pointer to an earlier commit in Git, effectively undoing more recent commits.
root directory

root directory

The top-level directory of a Git repository, containing all project files and the .git subdirectory.
root filesystem

root filesystem

The base filesystem of a Git repository, from which all other directories and files are organized.
saved reply

saved reply

A pre-written response that can be quickly inserted into issues or pull request comments on Git platforms.
scope

scope

The range of access or permissions granted to a token or application in Git-based systems.
seat

seat

A licensed user in enterprise Git hosting plans, typically representing a single user account.
secret team

secret team

A team in a Git organization that is hidden from non-members and other teams within the organization.
security log

security log

A record of security-related events and actions in a system, used for monitoring and auditing purposes.
server-to-server request

server-to-server request

An authenticated request between Git servers, often used in integrations or automated processes.
service hook

service hook

A mechanism for Git platforms to send event notifications to external services or applications.
shallow repository

shallow repository

A Git repository with an intentionally truncated history, often created through shallow cloning.
single sign-on

single sign-on

An authentication process allowing users to access multiple Git-related services with one set of credentials.
special ref

special ref

A Git reference with a specific meaning or function, such as HEAD or FETCH_HEAD.
staging instance

staging instance

A deployment environment used for testing changes before releasing to production in Git-based workflows.
star

star

A feature on Git hosting platforms allowing users to bookmark repositories of interest.

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.

Init Containers

Specialized containers that run to completion before other containers in a Kubernetes pod, used for initialization tasks.

Init Containers Resources

Specification of CPU and memory limits for initialization containers in Kubernetes pods, ensuring efficient resource utilization.

Initializers

Deprecated Kubernetes feature for dynamically modifying resource configurations before they become visible to the system.

Inter-Container Communication

Methods and patterns for containers within a pod to exchange data and signals, utilizing shared volumes or localhost networking.

IoT Edge Patterns

Architectural designs for deploying and managing containerized applications on edge devices in Internet of Things scenarios.

Istio

Open-source service mesh providing traffic management, security, and observability for cloud-native applications.

Istio Control Plane Components

Core services of the Istio service mesh responsible for configuring proxies and implementing policies.

Istio Destination Rules

Istio traffic management resource defining policies that apply to traffic intended for a service after routing has occurred.

Istio Gateways

Istio resources managing inbound and outbound traffic for the service mesh, providing fine-grained control over traffic flow.

Istio Mixerless Architecture

Istio design that removes the Mixer component, improving performance and scalability of the service mesh.

Istio Service Entries

Istio resources allowing the addition of entries to the service registry, enabling traffic to external dependencies.

Istio Virtual Services

Istio traffic management resources defining a set of traffic routing rules to apply when a host is addressed.

Istio's Ambient Mesh

Istio feature providing a sidecar-less service mesh implementation, reducing resource overhead and simplifying deployment.

Jaeger

Open-source, end-to-end distributed tracing system for monitoring and troubleshooting microservices-based distributed systems.

Jaeger Operator

Kubernetes operator for automated deployment and management of Jaeger tracing infrastructure in container environments.

Jaeger Tracing

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

Jenkins X

Cloud-native CI/CD solution for Kubernetes, automating the entire software development lifecycle for containerized applications.

Jib

Tool for building optimized Docker and OCI images for Java applications without the need for a Docker daemon.

Job

Kubernetes resource that creates one or more pods to perform a specific task and ensures they successfully complete, ideal for batch processes.

K3s

Lightweight Kubernetes distribution designed for edge, IoT, and resource-constrained environments, simplifying cluster deployment.

K9s CLI

Terminal-based UI for managing and monitoring Kubernetes clusters, providing an intuitive interface for cluster operations.

KEDA (Kubernetes Event-driven Autoscaling)

Kubernetes-based Event Driven Autoscaling, enabling fine-grained autoscaling for event-driven workloads based on event sources.

KUDO (Kubernetes Universal Declarative Operator)

Kubernetes Universal Declarative Operator, a toolkit for writing operators using a declarative spec, simplifying complex application management.

Kaniko

Tool for building container images from a Dockerfile inside a container or Kubernetes cluster, without requiring a Docker daemon.

Kanister for Application-Consistent Backups

Framework for application-level data management in Kubernetes, ensuring consistent backups of stateful apps.

Karmada

Open-source project for multi-cluster application management in Kubernetes, facilitating resource distribution across clusters.

Kata Containers

Lightweight virtual machines that feel and perform like containers, but provide the workload isolation and security of VMs.

Kata Containers 2.0

Major update to Kata Containers, introducing improved performance, reduced footprint, and enhanced security features.

Keptn

Cloud-native application lifecycle orchestration tool, automating deployment, testing, and remediation for containerized apps.

Kernel Bypass Networking

Technique allowing network packets to bypass the kernel, improving performance in container networking scenarios.

Kernel Namespaces

Linux feature providing isolation for system resources, fundamental to container implementation and resource separation.

Kilo for WireGuard-based Overlay Network

CNI plugin using WireGuard to create a mesh overlay network for Kubernetes, enhancing security and simplicity.

Knative

Kubernetes-based platform for building, deploying, and managing serverless workloads, simplifying serverless application development.

Knative Eventing

Knative component providing tools for routing events between publishers and subscribers in cloud-native applications.

Knative Serving

Knative component for deploying and managing serverless workloads, handling scaling and routing of containerized applications.

Krustlet for WebAssembly in Kubernetes

Tool allowing WebAssembly modules to run in Kubernetes clusters, enabling language-agnostic workloads.

Kube-OVN

Network virtualization solution for Kubernetes integrating the Open vSwitch software switch to provide advanced networking features.

Kube-OVN for Open vSwitch-based Networking

Implementation of Kube-OVN to leverage Open vSwitch for flexible, high-performance container networking.

Kube-bench for CIS Benchmarks

Tool for checking whether Kubernetes deployments adhere to Center for Internet Security (CIS) best practices.

Kube-bench for Security Auditing

Use of kube-bench to perform automated security audits of Kubernetes clusters against established benchmarks.

Kube-router for Direct Container Routing

Kubernetes networking solution providing direct container-to-container networking with BGP-based routing.

Kube-score for Kubernetes Object Analysis

Tool for static code analysis of Kubernetes object definitions, identifying misconfigurations and potential issues.

Kube-state-metrics

Service that listens to the Kubernetes API server and generates metrics about the state of Kubernetes objects.

KubeEdge

Open-source system extending native containerized application orchestration capabilities to hosts at Edge.

Kubeadm

Tool for bootstrapping a minimum viable Kubernetes cluster, simplifying the process of setting up a production-grade cluster.

Kubeaudit for Kubernetes Auditing

Open-source tool for auditing Kubernetes clusters and workloads for potential security issues and best practice violations.

Kubebuilder

Framework for building Kubernetes APIs using custom resource definitions (CRDs), simplifying the creation of operators and controllers.

Kubecost for Cost Monitoring

Tool providing real-time cost visibility and insights for running applications on Kubernetes, optimizing resource allocation.

Kubefed

Kubernetes Cluster Federation, enabling resource management across multiple Kubernetes clusters from a single control plane.

Kubeless

Kubernetes-native serverless framework, allowing deployment of small bits of code (functions) without managing underlying infrastructure.

Kubernetes API Versioning

System for evolving the Kubernetes API over time, allowing for backwards compatibility and gradual feature deprecation.

Kubernetes Admission Controllers

Plugins intercepting requests to the Kubernetes API server before object persistence, enforcing policies.

Kubernetes Aggregation Layer

Feature allowing the Kubernetes API to be extended with additional APIs, enabling custom resources and controllers.

Kubernetes Annotations

Key-value pairs for attaching non-identifying metadata to objects, used for tooling and client retrieval.

Kubernetes Autoscaling (HPA, VPA, Cluster Autoscaler)

Mechanisms (HPA, VPA, Cluster Autoscaler) for automatically adjusting resources based on demand and metrics.

Kubernetes Conformance Program

CNCF initiative ensuring consistency and portability across Kubernetes distributions and installations.

Kubernetes Events

API objects automatically created when other objects change state, providing a cluster activity audit trail.

Kubernetes Federation

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

Kubernetes Finalizers

Field on resources preventing accidental deletion, ensuring proper cleanup of related resources or external dependencies.

Kubernetes Garbage Collection

Process of automatically deleting objects that no longer have owners, preventing resource leaks.

Kubernetes Gateway API

Evolved ingress and service networking, providing a more expressive, extensible way to configure traffic routing.

Kubernetes Labels

Key-value pairs attached to objects for identification and selection, crucial for organizing and selecting object subsets.

Kubernetes Metrics Server

Cluster-wide aggregator of resource usage data, providing CPU and memory metrics for Horizontal Pod Autoscaler.

Kubernetes Operators

Software extensions to Kubernetes that use custom resources to manage applications and their components.

Kubernetes Owners and Dependents

Relationship between API objects where one object owns another, used for cascading deletion and orphan handling.

Kubernetes Selectors

Label query over a set of resources, used for identifying and grouping API objects based on their labels.

Kubernetes Version Lifecycle

Policies and timelines for Kubernetes version releases, support, and deprecation, guiding upgrade planning.

Kubernetes Virtual Clusters

Fully functional Kubernetes clusters running on top of other Kubernetes clusters, enabling multi-tenancy.

Kubesec.io for Kubernetes Manifests Scanning

Web-based tool for security risk analysis of Kubernetes resource manifests, identifying vulnerabilities.

Kustomize

Kubernetes native configuration management tool that allows customization of YAML manifests without templating.

Kustomize Overlays

Technique in Kustomize for creating variations of a common base of Kubernetes resources, enabling environment-specific configs.

Kustomize Patches

Method in Kustomize for modifying existing Kubernetes resources without directly editing the original YAML files.

Lacework for Container Compliance

Cloud security platform providing compliance monitoring and threat detection for containerized environments.

Layer

Unit of a container image representing a set of files or changes, crucial for image building and optimization.

Layered File System

Storage mechanism used by container runtimes, allowing efficient storage and quick updates of container images.

Leader Election Pattern

Design pattern ensuring only one instance of a distributed application component is active at a time.

Leader Election in Operators

Process where multiple instances of an operator elect a leader to prevent conflicts in resource management.

Least Privilege Principle

Security concept of giving a user or process only the minimum levels of access necessary to perform its function.

Lens IDE for Kubernetes

User-friendly, open-source IDE for managing Kubernetes clusters, providing a unified interface for multiple clusters.

Lightstep

Observability platform providing insights into the behavior of highly distributed software systems and microservices.

Limit Ranges

Kubernetes policy for constraining resource allocations (CPU and memory) for pods or containers in a namespace.

LimitRange

Kubernetes object defining the min, max, and default compute resources for pods and containers in a namespace.

Linkerd

Lightweight service mesh for Kubernetes, providing observability, reliability, and security for microservices.

Linkerd Data Plane

Component of Linkerd responsible for proxying traffic between services, implementing service mesh functionality.

Linkerd Service Profiles

Linkerd resource providing service-specific traffic metrics and control, enhancing observability and management.

Linkerd's Ultra-lightweight Proxy

High-performance, minimal-footprint proxy used in Linkerd's data plane for efficient service mesh operations.

Linux Security Modules (LSM)

Framework allowing various security models to be plugged into the Linux kernel, enhancing container isolation.

Load Balancer Integration

Process of connecting external load balancers with Kubernetes services for distributing incoming traffic.

Load Balancing Algorithms

Methods used by load balancers to distribute traffic across multiple container instances or pods.

LoadBalancer

Kubernetes service type that provisions an external load balancer in cloud environments for routing external traffic to services.

Local Persistent Volumes

Kubernetes volume type for locally attached storage, providing high-performance storage options for stateful workloads.

Locality Load Balancing

Technique for routing traffic to geographically or topologically closer endpoints in distributed container deployments.

Log Aggregation Patterns

Techniques for collecting, processing, and storing logs from distributed containerized applications for centralized analysis.

Logging Architecture

Design of systems for capturing, storing, and analyzing logs from containers and orchestration platforms.

Loki

Horizontally-scalable, multi-tenant log aggregation system designed for use with Prometheus and Kubernetes.

Longhorn

Cloud-native distributed block storage system for Kubernetes, providing persistent storage for stateful workloads.

Longhorn Distributed Block Storage

Implementation of Longhorn for providing resilient, replicated block storage in Kubernetes clusters.

Materialized View Pattern

Technique for precomputing and storing query results, improving performance in microservices architectures.

Memory Pressure

Condition where a node or container is running low on available memory, potentially triggering evictions or OOM kills.

Mesh Expansion

Process of extending service mesh capabilities to workloads running outside the primary container orchestration platform.