Engineering Glossary

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DevOps
Git
Cloud Computing
Containerization & Orchestration

Log Levels

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

Log Management

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

Log Management Policy

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

Log Management Process

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

Log Rotation

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

Log.io

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

LogShell Vulnerability

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

Loggly

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

Logstash

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

Logster

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

Loom

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

Low-code

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

M Silicon

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

MITRE ATT&CK

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

MLOps

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

MTTI

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

MTTR (Mean Time To Recovery)

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

Machine Data

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

Machine Learning (ML)

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

Magecart

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

Managed Detection and Response

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

Managed SIEM

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

Managing Secrets

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

Mass Assignment

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

Maturity Model

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

Mcollective

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

Mean Time Between Failures (MTBF)

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

Mean Time to Recovery (MTTR)

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

Mean Time to Resolution

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

Measure everything

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

Memcached

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

Memory Bottleneck

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

Mezmo

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

Micro Frontend

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

Microsegmentation

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

Microservice-Architektur

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

Microservice-Infrastruktur

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

Microservices

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

Microservices Architecture

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

Microsoft Azure

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

Mina

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

Mobile Analytics

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

Mobile App Automation

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

Mobile App Testing

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

Mobile Applications Security Testing (MAST)

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

Mobile Artifacts

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

Mobile Testing

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

Model-Based Testing (MBT)

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

MongoDB

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

Monitoring

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

Monitoring as Code (MaC)

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

Monolithic Architecture

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

Monorepo

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

Muda

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

Multi-Cloud Strategy

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

Mura

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

Muri

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

Mutable Infrastructure

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

NFRs

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

NIST SIEM Requirements and Standards

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

NPM

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

Nagios

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

NestJS

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

Network Bottleneck

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

Network as a Service (NaaS)

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

New Relic

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

Next Generation WAF (Web Application Firewall)

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

Nexus

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

Nexus Repository

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

Nginx

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

NoOps

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

NoSQLi

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

Node Logging

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

Node Pool

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

Node.js

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

Nomad

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

Non-Functional Testing

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

OSV

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

OWASP

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

OWASP API Top 10

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

OWASP Top 10

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

Observability

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

Observability vs Monitoring

Observability provides insights into system behavior, while monitoring tracks predefined metrics.
DevOps

On Premise Infrastructure

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

One-Stop Shop

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

Open Authorization (OAuth)

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

Open Integration Framework (OIF)

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

Open Source

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

Open Source Applications

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

OpenShift

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

OpenStack

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

OpenTelemetry

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

Operational Intelligence

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

Operations Engineering (Ops)

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

Ops (from DevOps)

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

OpsGenie

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

Opsbot

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

Opskeleton

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

Orchestration

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

Otto

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

Git Pull --Rebase

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

Git Push --Force-with-Lease

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

Git Range-diff

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

Git Read-tree

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

Git Reflog

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

Git Reflogs

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

Git Refs Storage

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

Git Refspec

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

Git Remote Add

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

Git Remote Prune

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

Git Remote Remove

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

Git Replace

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

Git Rerere (Reuse Recorded Resolution)

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

Git Reset

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

Git Reset --Hard

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

Git Reset --Soft

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

Git Rev-list

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

Git Rev-parse

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

Git Revert

A command that creates a new commit that undoes the changes made by a previous commit.
Git Revert vs Reset

Git Revert vs Reset

A comparison of two Git commands used to undo changes, with revert creating new commits and reset modifying history.
Git Rm

Git Rm

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

Git Shallow Clone

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

Git Shortlog

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

Git Signed Commits

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

Git Signed Tags

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

Git Squash

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

Git Stash Apply

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

Git Stash Pop

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

Git Status

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

Git Submodule

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

Git Submodule Foreach

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

Git Submodule vs Subtree

A comparison of two Git features used to include external repositories in a project, each with different use cases.
Git Subtree

Git Subtree

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

Git Update-index

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

Git Wire Protocol

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

Git Worktree

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

Git Worktree Add

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

Git Worktree List

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

Git Write-tree

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

Git archive

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

Git branch naming conventions

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

Git cat-file

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

Git cherry-pick --continue

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

Git config scopes (system, global, local)

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

Git count-objects -v

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

Git credential helpers

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

Git diff drivers

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

Git filter-repo

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

Git gc aggressive

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

Git hash-object

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

Git hooks (client-side and server-side)

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

Git index (staging area)

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

Git loose objects

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

Git ls-tree

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

Git merge drivers

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

Git mktree

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

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

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

Git pack-refs

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

Git packfiles

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

Git post-receive hooks (server-side)

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

Git pre-receive hooks (server-side)

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

Git protocol v2

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

Git rebase --onto

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

Git reflog expire

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

Git repack

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

Git reset (soft, mixed, hard)

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

Git secret management

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

Git show-ref

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

Git sparse-checkout

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

Git verify-pack

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

GitHub App

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

GitHub Flavored Markdown

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

GitHub Importer

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

GitHub Issues

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

GitHub Jobs

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

GitHub Marketplace

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

GitHub Pages

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

GitHub Wiki

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

GitHub flow

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

GitLab flow

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

Gitflow

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

Gitk (Git Repository Browser)

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

GraphQL

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

HEAD

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

Hello, World

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

Hotfix branching

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

Index

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

Issue templates

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

Jekyll

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

Jekyll Theme Chooser

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

LFS

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

Linguist

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

Markdown

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

Master

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

Merge

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

OAuth app

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

OAuth token

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

Origin

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

Patch

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

Pull

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

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.

Pod Affinity

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

Pod Affinity/Anti-Affinity

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

Pod Anti-Affinity

Kubernetes scheduling constraint that prevents pods from being co-located with other pods based on labels.

Pod Disruption Budget

Kubernetes object that limits the number of pods of a replicated application that can be down simultaneously.

Pod Lifecycle

Stages a pod goes through from creation to termination, including pending, running, succeeded, failed, and unknown phases.

Pod Monitors

Custom resources in Prometheus Operator for declaratively defining how groups of pods should be monitored.

Pod Networking

Mechanisms and configurations for enabling network communication between pods in a Kubernetes cluster.

Pod Overhead

Additional resources consumed by pod infrastructure on top of the container requests and limits.

Pod Phase

High-level summary of where a pod is in its lifecycle, used for pod status reporting and monitoring.

Pod Priority and Preemption

Kubernetes feature allowing importance-based scheduling and eviction of pods when resources are constrained.

Pod Security Context

Kubernetes object defining privilege and access control settings for a pod or container, enhancing security.

Pod Security Policies (PSP)

Deprecated Kubernetes feature for cluster-level control over pod security sensitive aspects.

Pod Security Standards

Kubernetes-defined levels (privileged, baseline, restricted) of security settings for pods.

PodDisruptionBudget

Kubernetes object limiting the number of pods that can be down simultaneously for a given application.

PodSandbox

Isolation boundary for one or more containers in a pod, providing shared kernel namespaces and cgroups.

PodSecurityPolicy

Deprecated cluster-level resource controlling security-sensitive aspects of pod specification.

Podman for Daemonless Containers

Tool for managing containers and images without a container daemon, compatible with Docker CLI.

Polaris for Best Practices Validation

Open-source tool for checking Kubernetes resources against configurable best practices, enhancing reliability.

Polyglot Persistence

Use of multiple data storage technologies in microservices architectures to best fit varying data storage needs.

Port Address Translation (PAT)

Network address translation technique used in container networking for mapping ports, enabling external access.

Port Mapping

Process of forwarding a network port from the host to a container, enabling external access to containerized services.

Portainer for Container Management

Web-based management UI for Docker environments, simplifying container operations and monitoring.

Portworx

Cloud-native storage platform providing persistent storage for containerized applications in multi-cloud environments.

Portworx PX-Store

Software-defined storage solution by Portworx for containerized stateful applications in Kubernetes.

Predicates

Kubernetes scheduling policies that filter out nodes that cannot run a pod, based on resource requirements and constraints.

Preemption

Kubernetes process of evicting lower-priority pods to schedule higher-priority pods when resources are constrained.

PrintColumn

CustomResourceDefinition feature for defining custom columns in kubectl output for custom resources.

Priorities

Kubernetes scheduling policies that rank nodes that have passed the predicate phase, determining the best placement for a pod.

Priority Classes

Kubernetes objects defining the relative importance of pods, used in scheduling and preemption decisions.

Priority and Preemption

Kubernetes feature allowing pods to be assigned different priorities, influencing scheduling and eviction decisions.

Privileged Containers

Containers running with elevated permissions, potentially accessing host resources and devices.

Progressive Delivery

Deployment strategy gradually rolling out changes to a subset of users or servers, monitoring for issues.

Project Calico eBPF Datapath

High-performance networking mode in Calico using extended Berkeley Packet Filter for packet processing.

Projected Volumes

Kubernetes volume type that maps several existing volume sources into the same directory, combining multiple configs.

Prometheus

Open-source systems monitoring and alerting toolkit, widely used for Kubernetes and container monitoring.

Prometheus Alertmanager

Component of Prometheus handling alerts, including silencing, inhibition, aggregation, and notifications.

Prometheus Operator

Kubernetes operator that makes it easy to deploy and manage Prometheus instances, simplifying monitoring setup.

Prometheus Pushgateway

Component allowing ephemeral and batch jobs to expose their metrics to Prometheus, enhancing monitoring coverage.

Prometheus Remote Write

Feature allowing Prometheus to send samples to compatible remote storage systems, enabling long-term storage.

Prometheus Rules

Definitions for recording rules and alerting rules in Prometheus, allowing for complex queries and alert conditions.

Protocol Selection

Process of choosing the appropriate network protocol for container communication based on requirements.

Quality of Service (QoS) Classes

Kubernetes classifications (Guaranteed, Burstable, BestEffort) for pods based on resource requirements and limits.

Qualys Container Security

Platform providing vulnerability management, policy compliance, and runtime defense for containers.

Quay.io

Container registry by Red Hat offering advanced features like vulnerability scanning and fine-grained access controls.

RBAC (Role-Based Access Control)

Kubernetes authorization mechanism for fine-grained control over the actions users can perform.

RBAC Best Practices

Guidelines for implementing secure and manageable role-based access control in Kubernetes environments.

RBAC for Multitenancy

Use of role-based access control to implement isolation and access management in multi-tenant Kubernetes clusters.

RDMA in Container Networks

Integration of Remote Direct Memory Access for high-performance, low-latency container networking.

Rancher for Multi-cluster Management

Platform for managing multiple Kubernetes clusters across different cloud providers and on-premises.

Rate Limiting Pattern

Technique to control the rate of requests or traffic in distributed systems, often implemented in API gateways.

Raw Block Volumes

Kubernetes volume type providing direct access to a block device for applications requiring this capability.

Reactive Systems

Architectural approach emphasizing responsiveness, resilience, elasticity, and message-driven communication in distributed systems.

Read-only Root Filesystem

Security practice of mounting a container's root filesystem as read-only to prevent runtime modifications.

ReadOnly Volumes

Kubernetes volumes mounted with read-only access, enhancing security by preventing modifications.

Registry

Service for storing and distributing container images, crucial for managing and deploying containerized applications.

Registry API

HTTP API provided by container registries for image management, authentication, and metadata retrieval.

Registry Authentication

Process of verifying the identity of clients making requests to containerized services or APIs.

Registry Caching

Technique of locally caching container images to improve pull times and reduce network usage.

Registry Mirroring

Process of replicating container images across multiple registries for improved availability and reduced latency.

Registry Webhooks

Mechanism for registries to send notifications about events such as image pushes, pulls, or deletions.

Release Trains

Scheduled, periodic releases of software components, often used in microservices architectures for coordinated updates.

ReplicaSet

Kubernetes controller ensuring a specified number of pod replicas are running at any given time.

Request Authentication

Process of verifying the identity of clients making requests to containerized services or APIs.

Request Mirroring

Technique of duplicating incoming requests to a separate service instance for testing or debugging purposes.

Resource Bin Packing

Scheduling strategy aiming to consolidate workloads onto a minimal number of nodes for efficient resource utilization.

Resource Limits

Constraints set on the amount of compute resources (CPU, memory) a container can consume, preventing resource hogging.

Resource Quotas

Kubernetes objects for limiting aggregate resource consumption per namespace, ensuring fair resource allocation.

Resource Requests

Specifications of the minimum amount of compute resources required by a container, aiding in scheduling decisions.

Resource Requests and Limits Tuning

Process of optimizing resource allocations for containers to balance performance and efficiency.

ResourceQuota

Kubernetes object providing constraints that limit aggregate resource consumption per namespace.

Retry Budgets

Limits on the number of retry attempts for failed operations in distributed systems to prevent cascading failures.

Retry Logic

Implementation of automatic reattempts for failed operations in microservices to improve system resilience.

Retry Pattern

Design pattern for handling transient failures in distributed systems by automatically repeating failed operations.

Role

Kubernetes RBAC object defining a set of permissions within a particular namespace, controlling access to resources.

RoleBinding

Kubernetes RBAC object that binds a role to a set of users or service accounts within a namespace.

RoleBindings and ClusterRoleBindings

Kubernetes objects associating Roles and ClusterRoles with users, groups, or service accounts.

Roles and ClusterRoles

Kubernetes RBAC objects defining sets of permissions at namespace or cluster level respectively.

Rollbacks

Process of reverting a deployment to a previous version in case of issues with the current version.

Rolling Updates

Deployment strategy where new versions of an application are gradually rolled out by replacing instances incrementally.

Romana for Layer 3 Networking

Networking solution for Kubernetes providing native Layer 3 networking without overlays for improved performance.

Rook

Open-source cloud-native storage orchestrator for Kubernetes, providing the platform, framework, and support for storage solutions.

Rook Storage Orchestrator

Kubernetes operator for file, block, and object storage systems, automating deployment and management of storage services.

Rootless Containers

Containers running without root privileges, enhancing security by reducing the potential impact of container breakouts.

RunC

Lightweight, portable container runtime adhering to the OCI specification, used as a low-level runtime by container engines.

RunC Internals

Inner workings and components of the RunC container runtime, including its interaction with Linux kernel features.

Runtime Application Self-Protection (RASP)

Security technology that detects and prevents real-time attacks on containerized applications.

Runtime Security

Measures and tools for protecting containerized applications during execution, including threat detection and prevention.

Runtime Threat Detection

Process of identifying and alerting on security threats to running containers and orchestration platforms.

RuntimeService

CRI component responsible for managing the entire lifecycle of a container, including creation, execution, and deletion.

SELinux Policies

Security policies enforcing mandatory access controls on containers and pods in Linux-based systems.

SLO-based Monitoring

Monitoring approach focusing on Service Level Objectives to ensure application performance and reliability.

SMI (Service Mesh Interface)

Standard specification for service meshes on Kubernetes, providing a common interface for various implementations.

SPIFFE/SPIRE for Workload Identity

Standards and implementation for securely identifying and authenticating workloads in dynamic environments.

SR-IOV for Container Networks

Use of Single Root I/O Virtualization to provide high-performance networking for containers.

Saga Pattern

Design pattern for managing data consistency across microservices in distributed transactions.

Saga Pattern for Distributed Transactions

Implementation of the Saga pattern to maintain data consistency in microservices architectures.

Sandbox Runtimes

Container runtimes providing additional isolation between the container and the host system for enhanced security.

Sandboxing

Techniques for isolating running containers from the host system and each other to enhance security.

Scale Subresource

Kubernetes API for directly managing the number of replicas of a workload without modifying the entire object.

Scheduler

Kubernetes component responsible for assigning pods to nodes based on resource requirements, policies, and constraints.