Engineering Glossary

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

DevOps
Cloud Computing
Git
Containerization & Orchestration

SLA (Service Level Agreement)

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

SOAR

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

SOC

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

SQL Injection

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

SQLi

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

SSL Certificate

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

SSL Certificate Chain

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

SSL Certificate Expiry

Date when an SSL certificate is no longer valid and needs to be renewed to maintain secure connections.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

SSL/TLS Handshake

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

SaltStack

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

Sanity Testing

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

Scalability

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

Scaled Agile Framework (SAFe)

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

Schatten-IT

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

Scrubbing Center

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

Scrum

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

SecOps

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

Secure SDLC

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

Security Analytics

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

Security Champions

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

Security Information and Event Management (SIEM)

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

Security Intelligence

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

Security Misconfiguration

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

Security Observability

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

Security Operation Center (SOC)

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

Security Posture

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

Security Remediation

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

Security as Code

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

Selbstheilende Systeme

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

Selenium

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

Self-Healing Systems

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

Self-Service Deployment

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

Semaphore

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

Sensitive Data Exposure

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

Sensu

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

Sequencer

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

Serf

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

Server Monitoring

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

Serverless

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

Serverless Computing

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

Serverless Framework

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

Serverless Monitoring

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

Service Level Agreement (SLA)

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

Service Level Indicator (SLI)

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

Service Level Indicators (SLIs)

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

Service Level Objective (SLO)

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

Service Mesh

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

Service Reliability

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

Service Virtualisation

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

Shadow APIs

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

Shadow CD

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

Shadow IT

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

Shared Responsibility Model

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

Shift Left

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

Shift Right

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

Shift-Left Security

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

Shift-Left Testing

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

Shift-Right Testing

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

SignalFx

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

Siloed Security

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

Simian Army

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

Single Branch Development

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

Site Reliability Engineer (SRE)

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

Site Reliability Engineering (SRE)

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

Sitex

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

Six Nines

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

Slaughter

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

Smoke Testing

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

Snapshot

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

Snort

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

Soak Testing

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

Software Composition Analysis (SCA)

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

Software Deployment

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

Software Development Lifecycle (SDLC)

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

Software Lifecycle

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

Software Stack

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

Software as a Service (SaaS)

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

Source Control

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

Spaghetti Code

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

Spike Testing

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

Sprint

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

StackStorm

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

Staging Environment

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

Standard Operating Procedures (SOPs)

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

Static Application Security Testing (SAST)

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

Status Page

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

Step

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

Strangler Fig Pattern

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

Stream-aligned Team

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

Streamline Releases

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

Structured Logging

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

Stubs

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

Sublime Text

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

SumoLogic

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

Sunzi

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

Support-Level

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

Swagger

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

Swift

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

Synthetic Monitoring

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

Sysdig

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

@mention

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

API preview

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

Bare Repository

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

Bisect

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

Bitbucket Pipelines

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

Blame

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

Blamestorming

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

Branch

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

Branch policies

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

Business plan

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

CA certificate

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

Cache

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

Checkout

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

Cherry-Pick

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

Cherry-picking

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

Clone

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

Code owners file

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

Commit

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

Conflict

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

Continuous Integration

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

DAG (Directed Acyclic Graph)

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

Detach HEAD

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

Diff

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

Downstream

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

Explorer

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

Feature branch workflow

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

Fetch

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

Force Push

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

Fork

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

Free plan

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

GPG (GNU Privacy Guard)

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

Gist

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

Git

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

Git Alias

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

Git Alternates

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

Git Annotate

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

Git Assume Unchanged

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

Git Attributes

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

Git Bisect

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

Git Bisect Run

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

Git Blame -C (Copy Detection)

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

Git Bundle

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

Git Bundle Create/Verify

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

Git Cheat Sheet

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

Git Cherry

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

Git Clean

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

Git Commit --amend

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

Git Commit Amend

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

Git Commit Hooks

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

Git Commit Templates

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

Git Commit Trailers

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

Git Commit-graph

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

Git Commit-graph Verify

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

Git Commit-tree

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

Git Config

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

Git Count-objects

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

Git Credential Helper

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

Git Daemon

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

Git Dangling Objects

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

Git Describe

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

Git Diff

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

Git Diff Algorithms

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

Git Diff Tool

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

Git Fetch --All

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

Git Filter-branch

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

Git Flow

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

Git Fork

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

Git Fsck

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

Git Fsck (File System Check)

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

Git GPG verification

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

Git Garbage Collection (gc)

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

Git Gc (Garbage Collection)

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

Git Grep

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

Git Hook

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

Git Hooks

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

Git Ignore

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

Git Index Format

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

Git Init

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

Git Interactive Rebase

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

Git Internals (objects, refs, etc.)

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

Git Interpret-trailers

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

Git LFS (Large File Storage)

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

Git Large File Storage (LFS)

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

Git Log

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

Git Maintenance

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

Git Merge Strategies

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

Git Merge Tools

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

Git Merge-base

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

Git Multi-pack Index (MIDX)

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

Git Namespaces

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

Git Notes

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

Git Object Storage

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

Git Pack Files

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

Git Packfile Format

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

Git Partial Clone

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

Git Patch

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

Git Plumbing Commands

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

Git Porcelain Commands

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

Git Protocol

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

Git Prune

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

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.

Scheduling Framework

Kubernetes component allowing plugins to customize the scheduling process without changing the core scheduler code.

Scheduling Plugins

Modular components in Kubernetes scheduler implementing specific scheduling behaviors and policies.

Scheduling Profiles

Configurations defining sets of scheduling plugins to be used for different scheduling scenarios in Kubernetes.

Seccomp BPF

Use of Berkeley Packet Filter programs to define fine-grained seccomp profiles for container security.

Seccomp Profiles

Security profiles defining allowed system calls for containers, enhancing isolation and reducing attack surface.

Secret

Kubernetes object for storing and managing sensitive information such as passwords, tokens, or keys.

Secrets Management

Process of securely storing, distributing, and rotating sensitive data in containerized environments.

Secure Computing Mode (seccomp)

Linux kernel feature limiting the system calls a process can make, often used to secure containers.

Secure Supply Chain

Practices ensuring the integrity and security of container images and their dependencies throughout the development lifecycle.

Security Context Constraint

OpenShift object defining a set of conditions that a pod must run with to be accepted into the system.

Security Context Constraints

OpenShift feature for fine-grained control over the actions containers can perform and the resources they can access.

Security Scanning in CI Pipeline

Integration of vulnerability and compliance scans into the continuous integration process for container images.

Serverless Frameworks

Tools and platforms for building and deploying serverless applications on container orchestration systems.

Serverless Observability

Techniques and tools for monitoring, tracing, and debugging serverless functions and applications.

Serverless Patterns

Architectural patterns for designing and implementing serverless applications in containerized environments.

Serverless Security

Practices and tools for securing serverless functions and applications in container-based infrastructures.

Serverless Workflows

Orchestration of multiple serverless functions to create complex, event-driven applications.

Service

Kubernetes abstraction defining a logical set of pods and a policy by which to access them.

Service Account Token Volume Projection

Kubernetes feature for securely delivering service account tokens to pods, enhancing security.

Service Account Tokens

Credentials automatically generated for pods to authenticate with the Kubernetes API server.

Service Discovery Pattern

Technique allowing services to locate and communicate with each other dynamically in containerized environments.

Service Mesh Control Plane

Component of a service mesh responsible for managing and configuring the data plane proxies.

Service Mesh Data Plane

Component of a service mesh consisting of proxies that intercept and control service-to-service communication.

Service Mesh Interface (SMI)

Specification defining a set of common APIs for service meshes on Kubernetes, promoting interoperability.

Service Mesh Pattern

Architectural pattern providing a dedicated infrastructure layer for handling service-to-service communication.

Service Mesh Performance (SMP)

Standard for measuring and characterizing the performance of service mesh deployments, aiding in optimization.

Service Monitors

Custom resources in Prometheus Operator for declaratively defining how services should be monitored.

Service Networking

Mechanisms and configurations for enabling network communication between services in container orchestration platforms.

Service Topology

Kubernetes feature allowing services to route traffic based on node topology for improved performance.

Service-to-Service Authentication

Process of verifying the identity of services communicating with each other in a containerized environment.

ServiceAccount

Kubernetes object providing an identity for processes running in a pod, used for authentication and authorization.

Sharding Pattern for Data Partitioning

Technique of dividing data across multiple database instances in containerized environments.

Sidecar Containers

Additional containers in a pod that enhance or extend the functionality of the main container.

Sidecar Pattern

Design pattern where a sidecar container is deployed alongside the main application container to provide supporting features.

Sidecar Proxy

Proxy container deployed alongside application containers to handle network traffic and implement service mesh functionality.

Sidecars for Service Mesh

Use of sidecar proxies to implement service mesh features like traffic management and security in Kubernetes.

SigNoz

Open-source application performance monitoring and observability platform for microservices and Kubernetes environments.

Skaffold

Tool facilitating continuous development for Kubernetes applications, handling building, pushing, and deploying application code.

Skaffold for Local Kubernetes Development

Use of Skaffold to streamline the development workflow for Kubernetes applications in local environments.

Snyk Container Security

Platform providing vulnerability scanning and security management for container images and Kubernetes deployments.

Software-Defined Networking (SDN)

Approach to network management enabling dynamic, programmatically efficient network configuration in container environments.

Source-to-Image (S2I)

Tool and workflow for building reproducible container images from source code, simplifying the build process.

Spinnaker

Open-source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence.

Splunk for Containers

Integration of Splunk's data platform with containerized environments for logging, monitoring, and analysis.

StackRox Kubernetes Security Platform

Security platform providing vulnerability management, compliance, and runtime protection for Kubernetes.

Stateful Applications in Containers

Containerized applications that maintain data or state, requiring special considerations for persistence and scaling.

StatefulSet

Kubernetes workload API object used to manage stateful applications, providing unique network identities and stable storage.

StatefulSet Patterns

Design patterns for deploying and managing stateful applications in Kubernetes using StatefulSets.

Static Pods

Pods managed directly by the kubelet on a specific node, without the API server observing them.

Static Provisioning

Process of pre-creating storage resources in Kubernetes before they are claimed by persistent volume claims.

Static Token File

File-based method for providing authentication tokens to the Kubernetes API server, useful for bootstrap authentication.

Status Subresource

Kubernetes API feature allowing updates to an object's status without modifying its spec, enabling more granular updates.

Storage Capacity Tracking

Kubernetes feature for making scheduling decisions based on the available storage capacity of nodes.

Storage Classes

Kubernetes objects defining different classes of storage with varying performance characteristics or policies.

StorageClass

Kubernetes object describing the "classes" of storage offered by the administrator, used for dynamic provisioning.

StorageOS

Software-defined storage for cloud-native applications, providing persistent storage for containers.

Strangler Fig Pattern for Modernization

Incremental approach to modernizing legacy applications by gradually replacing components with microservices.

Streaming Protocols

Network protocols optimized for real-time data transmission in containerized environments.

SubPath

Kubernetes volume feature allowing mounting a specific directory of a volume instead of its root.

Submariner for Multi-cluster Networking

Open-source project enabling direct networking between pods and services across Kubernetes clusters.

Subresources

Kubernetes API feature representing sub-components of a resource, allowing more granular access control and operations.

SuperEdge

Open-source container management system for edge computing, extending Kubernetes to manage edge nodes efficiently.

Sysdig Secure for Runtime Protection

Security platform providing real-time threat detection and response for containerized environments.

TUF (The Update Framework) for Secure Updates

Specification for securing software update systems, applicable to container image distribution.

Taints

Kubernetes node attributes that repel certain pods from scheduling unless they have matching tolerations.

Taints and Tolerations

Kubernetes mechanism for controlling which pods can be scheduled on specific nodes, enabling node specialization.

Tekton

Cloud-native CI/CD framework for Kubernetes, providing custom resources for defining pipelines and tasks.

Tekton Pipelines

Kubernetes-native CI/CD solution using custom resources to define pipelines as a series of tasks.

Telepresence for Local Development

Tool allowing developers to run a single service locally while connecting to a remote Kubernetes cluster.

Tenable.io Container Security

Platform providing vulnerability management and compliance monitoring for container images and registries.

Tenant Isolation

Techniques for separating and securing resources belonging to different users or groups in multi-tenant Kubernetes clusters.

Terrascan for Kubernetes Security Scanning

Open-source tool for static code analysis of Infrastructure as Code, including Kubernetes manifests.

Thanos

Open-source project extending Prometheus for long-term storage and global query view in large-scale deployments.

Thanos for Long-Term Storage

Use of Thanos to provide durable storage and global query capability for Prometheus metrics.

Throttling Pattern

Technique for limiting the rate at which a containerized service processes requests to prevent overload.

Tilt for Microservices Development

Development environment as code for teams building Kubernetes microservices, streamlining local development.

Timeout Configuration

Settings controlling the maximum duration for various operations in containerized applications and infrastructure.

Tolerations

Kubernetes pod specifications that allow (but do not require) pods to be scheduled on nodes with matching taints.

Topology Manager

Kubernetes feature coordinating resource allocation decisions to provide topology-aligned resource allocations.

Traffic Mirroring

Technique of duplicating live traffic to a separate service instance for testing or debugging purposes.

Traffic Shifting

Gradual redirection of traffic from one version of a service to another, often used in canary deployments.

Traffic Splitting

Distribution of incoming requests across multiple versions of a service, enabling advanced deployment strategies.

Trivy for Vulnerability Scanning

Open-source security scanner for containers and other artifacts, finding vulnerabilities and misconfigurations.

Twelve-Factor App Methodology

Set of best practices for building software-as-a-service apps that can be easily deployed to the cloud.

Twistlock

Container security platform providing vulnerability management, compliance, and runtime protection (now part of Prisma Cloud).

Twistlock (now Prisma Cloud)

Comprehensive cloud-native security platform for containers, serverless, and cloud environments.

Underlay Networks

Physical network infrastructure upon which overlay networks for container communication are built.

Unikernels as Container Alternatives

Specialized, single-purpose machine images offering potential advantages in size and security over containers.

Union File System

Filesystem service for Linux allowing files and directories of separate filesystems to be overlaid, forming a single coherent filesystem.

User Impersonation

Kubernetes feature allowing a user to act as another user, useful for debugging and testing access controls.

User Namespaces

Linux kernel feature providing per-process isolated instances of user and group ID number spaces.

VXLAN

Network virtualization technology used in container networking for creating overlay networks.

VXLAN Overlay Networks

Virtual networks using VXLAN encapsulation to enable container communication across hosts.

Valet Key Pattern for Secure Resource Access

Design pattern for providing clients with restricted direct access to a specific resource or service.

Validating Webhooks

Admission controller webhooks in Kubernetes that validate resource requests without modifying them.

Validation Webhooks

Kubernetes admission control mechanism for validating API requests against custom logic before persistence.

Velero for Backup and Restore

Open-source tool for backing up and restoring Kubernetes cluster resources and persistent volumes.

Version Skew Policy

Guidelines defining supported version differences between Kubernetes components to ensure compatibility.

Vertical Pod Autoscaler

Kubernetes component that automatically adjusts the CPU and memory reservations for pods to optimize resource utilization.

Vertical Pod Autoscaler Metrics

Resource utilization data used by VPA to make decisions on adjusting pod resource allocations.