Engineering Glossary
From fundamental principles to cutting-edge practices, this glossary covers the full spectrum of software engineering terminology.
YAML (Yet Another Markup Language)
Human-readable data serialization standard that can be used in conjunction with all programming languages.
DevOps
YAML Sprawl
Proliferation of YAML configuration files, often leading to maintenance and consistency challenges.
DevOps
Yak Shaving
Seemingly useless activity which, by allowing you to overcome intermediate difficulties, allows you to solve a larger problem.
DevOps
Yarn
Fast, reliable, and secure dependency management tool for Node.js, offering improved performance and additional features over NPM.
DevOps
Yocto
Open-source collaboration project that helps developers create custom Linux-based systems.
DevOps
Yoda Conditions
Programming style where the constant goes before the variable in a conditional statement.
DevOps
You Build it You Run it
DevOps principle where development teams are also responsible for supporting the software in production.
DevOps
Zabbix
Open-source software tool to monitor various IT components, including networks, servers, virtual machines, and cloud services.
DevOps
Zero Downtime Deployment
Deployment method that ensures the application remains available to users during the entire update process.
DevOps
Zero Nines
A measure of system availability where no uptime guarantee is provided. It indicates a service with no specified reliability commitments or expectations.
DevOps
Zero Trust
Security concept centered on the belief that organizations should not automatically trust anything inside or outside its perimeters.
DevOps
Zero-day Attack
Cyber attack exploiting a vulnerability that is unknown to the software vendor or to antivirus vendors.
DevOps
Zipkin
Distributed tracing system that helps gather timing data needed to troubleshoot latency problems in service architectures.
DevOps
Zookeeper
Centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.
DevOps
Zsh (Z Shell)
Extended version of the Bourne Shell with many improvements, including some features of Bash, ksh, and tcsh.
DevOps
iOS Deployment
Process of distributing iOS applications to Apple devices, often through the App Store or enterprise distribution methods.
DevOps
macOS
Apple's Unix-based operating system for Macintosh computers, known for its user-friendly interface and tight integration with Apple hardware.
DevOps
Git Pull --Rebase
Git Pull --Rebase
A variation of Git pull that fetches remote changes and rebases local commits on top of them instead of merging.
Git Push --Force-with-Lease
Git Push --Force-with-Lease
A safer alternative to force push, which only updates the branch if it hasn't been modified since your last fetch.
Git Range-diff
Git Range-diff
A command that compares the changes between two commit ranges, useful for reviewing rebased branches.
Git Read-tree
Git Read-tree
A low-level command that reads tree objects into the index, used in complex merging scenarios.
Git Reflog
Git Reflog
A log of all reference updates in a repository, useful for recovering lost commits or branches.
Git Reflogs
Git Reflogs
Same as Git Reflog, logs that record when the tips of branches and other references were updated in the repository.
Git Refs Storage
Git Refs Storage
The system Git uses to store references (like branches and tags) as files in the .git directory.
Git Refspec
Git Refspec
A string that specifies the mapping between remote and local references when fetching or pushing.
Git Remote Add
Git Remote Add
Adds a new remote repository to your local Git configuration, associating a name with a URL.
Git Remote Prune
Git Remote Prune
A command that removes remote-tracking branches that no longer exist on the remote repository.
Git Remote Remove
Git Remote Remove
Removes a remote repository from your local Git configuration, deleting its associated references.
Git Replace
Git Replace
A feature allowing one Git object to be transparently used in place of another, useful for history rewriting.
Git Rerere (Reuse Recorded Resolution)
Git Rerere (Reuse Recorded Resolution)
A feature that remembers how you resolved merge conflicts and automatically reapplies the resolution.
Git Reset
Git Reset
A command used to undo changes by moving the current branch head to a specific commit.
Git Reset --Hard
Git Reset --Hard
A Git reset option that updates the working directory and staging area to match the specified commit.
Git Reset --Soft
Git Reset --Soft
A Git reset option that moves the HEAD to a specified commit without changing the working directory or staging area.
Git Rev-list
Git Rev-list
A command that lists commit objects in reverse chronological order, often used as a basis for other commands.
Git Rev-parse
Git Rev-parse
A command used to parse Git revision syntax and return the corresponding object name.
Git Revert
Git Revert
A command that creates a new commit that undoes the changes made by a previous commit.
Git Rm
Git Rm
A command to remove files from both the working directory and the Git repository.
Git Shallow Clone
Git Shallow Clone
A clone that only fetches a limited number of commits, reducing download size and time for large repositories.
Git Shortlog
Git Shortlog
A command that summarizes git log output, typically used to create release announcements.
Git Signed Commits
Git Signed Commits
Commits that are cryptographically signed to verify the identity of the committer and ensure integrity.
Git Signed Tags
Git Signed Tags
Tags that are cryptographically signed to verify the identity of the tagger and ensure the tag's integrity.
Git Squash
Git Squash
The process of combining multiple commits into a single commit, often used to simplify history before merging.
Git Stash Apply
Git Stash Apply
A command that applies a stored stash to the working directory without removing it from the stash list.
Git Stash Pop
Git Stash Pop
A command that applies a stored stash to the working directory and removes it from the stash list.
Git Status
Git Status
A command that displays the state of the working directory and the staging area.
Git Submodule
Git Submodule
A repository embedded within another repository, allowing you to keep a Git repository as a subdirectory of another Git repository.
Git Submodule Foreach
Git Submodule Foreach
A command that executes a specified shell command for each initialized submodule in a Git repository.
Git Subtree
Git Subtree
A feature for managing nested repositories as subdirectories of a parent repository, an alternative to submodules.
Git Update-index
Git Update-index
A low-level Git command that manipulates the staging area, updating file information and preparing changes for commit.
Git Wire Protocol
Git Wire Protocol
The communication protocol used between Git clients and servers for efficient data transfer.
Git Worktree
Git Worktree
A feature allowing multiple working trees to be attached to the same repository, useful for working on different branches simultaneously.
Git Worktree Add
Git Worktree Add
Creates a new working tree associated with the repository, allowing work on multiple branches simultaneously.
Git Worktree List
Git Worktree List
A command to list details of each working tree associated with the repository, showing paths and branch information.
Git Write-tree
Git Write-tree
A low-level Git command that creates a tree object from the current index, representing a directory structure.
Git archive
Git archive
A Git command used to create an archive (zip or tar) of files from a specified commit, useful for creating release packages.
Git branch naming conventions
Git branch naming conventions
Agreed-upon patterns for naming branches to improve organization and clarity in collaborative projects.
Git cat-file
Git cat-file
A command to examine the contents and type of Git objects, useful for inspecting repository internals.
Git cherry-pick --continue
Git cherry-pick --continue
A command to resume the cherry-pick process after resolving conflicts in a paused cherry-pick operation.
Git config scopes (system, global, local)
Git config scopes (system, global, local)
Levels at which Git configuration can be set: system (all users), global (user), and local (repository).
Git count-objects -v
Git count-objects -v
A command providing detailed statistics about the number and size of objects in a Git repository.
Git credential helpers
Git credential helpers
Mechanisms to securely store and retrieve credentials for Git operations, reducing manual authentication.
Git diff drivers
Git diff drivers
Custom scripts that determine how Git should generate diffs for specific file types.
Git filter-repo
Git filter-repo
A versatile tool for rewriting Git repository history, offering more power and flexibility than git filter-branch.
Git gc aggressive
Git gc aggressive
A more thorough garbage collection process in Git, optimizing repository storage and performance.
Git hash-object
Git hash-object
A low-level Git command that computes the object ID (SHA-1 hash) for a given file or string, used in Git's internal storage.
Git hooks (client-side and server-side)
Git hooks (client-side and server-side)
Scripts triggered by specific events in Git workflows, used to automate tasks or enforce policies.
Git index (staging area)
Git index (staging area)
The intermediate area in Git where changes are prepared before committing, also known as the staging area.
Git loose objects
Git loose objects
Individual, uncompressed Git objects stored separately in the object database before being packed.
Git ls-tree
Git ls-tree
A command to list the contents of a tree object in Git, showing files and subdirectories.
Git merge drivers
Git merge drivers
Custom scripts defining how Git should handle merges for specific file types or patterns.
Git mktree
Git mktree
A low-level Git command that creates a tree object from a specific index or tree listing.
Git object types (blob, tree, commit, tag)
Git object types (blob, tree, commit, tag)
The four fundamental object types used by Git to store repository data and history.
Git pack-refs
Git pack-refs
A command to pack references into a single file for improved performance in repositories with many references.
Git packfiles
Git packfiles
Compressed files containing multiple Git objects, optimizing storage and transfer efficiency in repositories.
Git post-receive hooks (server-side)
Git post-receive hooks (server-side)
Server-side scripts that run after commits have been accepted, often used for notifications or deployments.
Git pre-receive hooks (server-side)
Git pre-receive hooks (server-side)
Server-side scripts that run before pushed commits are accepted, used to enforce policies or checks.
Git protocol v2
Git protocol v2
An improved version of the Git transfer protocol, offering better performance and feature negotiation.
Git rebase --onto
Git rebase --onto
A command to move a series of commits to a new base commit, useful for changing the parent of a branch.
Git reflog expire
Git reflog expire
A command to remove old entries from the reflog, useful for cleaning up Git history and freeing space.
Git repack
Git repack
A command to combine all loose objects in a repository into packfiles, improving storage efficiency.
Git reset (soft, mixed, hard)
Git reset (soft, mixed, hard)
Commands to undo changes in Git, with varying impacts on the working directory and staging area.
Git secret management
Git secret management
Techniques and tools for securely storing and accessing sensitive information in Git repositories.
Git show-ref
Git show-ref
A command that lists references in a Git repository along with their associated commit hashes.
Git sparse-checkout
Git sparse-checkout
A feature allowing users to check out only a subset of files from a repository, saving space and time.
Git verify-pack
Git verify-pack
A command to validate the contents of Git pack files, ensuring data integrity in the object database.
GitHub App
GitHub App
An application that can be installed directly on organizations and user accounts to extend GitHub's functionality.
GitHub Flavored Markdown
GitHub Flavored Markdown
A version of Markdown with additional features specifically supported on GitHub.
GitHub Importer
GitHub Importer
A tool for importing repositories to GitHub from other version control systems or source code hosts.
GitHub Issues
GitHub Issues
A feature in GitHub for tracking tasks, enhancements, and bugs for a project.
GitHub Jobs
GitHub Jobs
A platform for posting and finding software development jobs, integrated with GitHub profiles, that was discontinued in 2021.
GitHub Marketplace
GitHub Marketplace
A platform for developers to sell and buy integrations for GitHub, enhancing workflow and productivity.
GitHub Pages
GitHub Pages
A static site hosting service that takes files directly from a GitHub repository to publish websites.
GitHub Wiki
GitHub Wiki
A collaborative documentation feature in GitHub repositories, allowing easy creation and editing of project documentation.
GitHub flow
GitHub flow
A lightweight, branch-based workflow that supports teams and projects where deployments are made regularly.
GitLab flow
GitLab flow
A version control workflow that combines feature-driven development and feature branches with issue tracking.
Gitflow
Gitflow
Branching model for Git that defines a strict branching model designed around project releases.
Gitk (Git Repository Browser)
Gitk (Git Repository Browser)
A graphical interface for viewing Git repositories, providing a visual representation of commit history.
GraphQL
GraphQL
Query language for APIs and a runtime for executing those queries with existing data.
HEAD
HEAD
A pointer in Git that refers to the latest commit in the current checked-out branch.
Hello, World
Hello, World
A simple program often used as an introduction to a new programming language or environment, including Git tutorials.
Hotfix branching
Hotfix branching
A method for quickly patching production releases by branching directly from the main branch or a tag.
Index
Index
Also known as the staging area, where changes are prepared before committing in Git.
Issue templates
Issue templates
Predefined structures for creating new issues in Git repositories, ensuring consistent and complete information.
Jekyll
Jekyll
A static site generator often used with GitHub Pages to create websites from Markdown files in a Git repository.
Jekyll Theme Chooser
Jekyll Theme Chooser
A tool in GitHub Pages that allows users to easily select and apply pre-designed themes to their Jekyll sites.
LFS
LFS
Git Large File Storage, an extension for versioning large files in Git repositories.
Linguist
Linguist
A library used by GitHub to detect the programming languages used in repositories.
Markdown
Markdown
A lightweight markup language commonly used for documentation in Git repositories.
Master
Master
Formerly the default name for the primary branch in Git repositories, now often replaced by 'main'.
Merge
Merge
The process of combining changes from different branches into a single branch, integrating multiple lines of development.
OAuth app
OAuth app
An application that uses the OAuth protocol to access Git platform APIs on behalf of users.
OAuth token
OAuth token
A secure string used for authentication in Git operations, allowing access to resources without sharing passwords.
Origin
Origin
The default name for the remote repository from which a local repository was cloned.
Patch
Patch
A file describing changes between versions, used to share and apply modifications across different Git repositories.
Pull
Pull
A Git command that fetches changes from a remote repository and merges them into the current branch.
Pull Request
Pull Request
A method of submitting contributions to a Git project, proposing changes from a forked repository or branch.
Pull request templates
Pull request templates
Customizable files that automatically populate the body of new pull requests, guiding contributors.
3D Stacked Memory for Cloud Servers
High-density memory architecture using vertically stacked chips, enhancing performance and capacity in cloud server hardware.
5G Cloud
Cloud infrastructure optimized for 5G networks, supporting high-speed, low-latency services and applications.
5G Network Slicing
Technique to create multiple virtual networks on a shared physical 5G infrastructure, each optimized for specific use cases.
5G and Edge Computing
Integration of 5G networks with edge computing to enable low-latency, high-bandwidth applications closer to end-users.
6G Cloud Integration
Future convergence of 6G networks with cloud computing, promising ultra-high speeds and advanced capabilities.
ACID Compliance
Database transaction properties (Atomicity, Consistency, Isolation, Durability) ensuring data integrity in cloud environments.
AI Ethics Compliance Tools
Software ensuring AI systems adhere to ethical guidelines and regulations in cloud deployments.
AI Ethics and Bias Detection Tools
Software for identifying and mitigating ethical issues and biases in AI models deployed in cloud environments.
AI Ethics and Governance Tools
Solutions for managing ethical considerations and regulatory compliance in cloud-based AI systems.
AI Governance Frameworks
Structured approaches for managing AI development, deployment, and use in cloud environments.
AI Model Governance Platforms
Comprehensive solutions for managing, monitoring, and controlling AI models in cloud-based systems.
AI Model Interpretability Services
Cloud-based tools for explaining and understanding the decision-making processes of AI models.
AI Model Interpretability Tools
Software for analyzing and explaining AI model decisions, crucial for transparency in cloud AI services.
AI Model Marketplaces
Cloud platforms for discovering, sharing, and monetizing pre-trained AI models and algorithms.
AI Model Monitoring and Drift Detection
Tools for tracking AI model performance and identifying deviations from expected behavior in cloud environments.
AI Model Versioning and Governance
Systems for managing different versions of AI models and enforcing governance policies in cloud deployments.
AI-Assisted Coding Platforms
Cloud-based development environments that use AI to assist programmers in writing and optimizing code.
AI-Augmented Analytics
Integration of AI capabilities into data analytics processes in cloud environments for enhanced insights.
AI-Driven Capacity Planning
Use of AI algorithms to predict and optimize resource allocation in cloud infrastructures.
AI-Driven Cloud Optimization
Application of AI techniques to improve efficiency, performance, and cost-effectiveness of cloud resources.
AI-Driven Cloud Resource Allocation
Automated distribution of cloud resources using AI to optimize performance and cost-efficiency.
AI-Driven Cloud Service Composition
AI-based automation of cloud service selection and integration for complex workflows.
AI-Driven Code Generation
Automated creation of source code using AI models, often integrated into cloud development platforms.
AI-Driven Data Classification
Automated categorization and labeling of data using AI algorithms in cloud storage and processing systems.
AI-Driven Network Optimization
Use of AI to improve network performance, efficiency, and security in cloud environments.
AI-Driven Resource Allocation
Intelligent distribution of computing resources in cloud environments using AI algorithms.
AI-Driven Security Information and Event Management (SIEM)
Enhanced SIEM systems using AI for improved threat detection and response in cloud environments.
AI-Driven Threat Detection
Use of AI algorithms to identify and analyze potential security threats in cloud systems.
AI-Driven Threat Hunting
Proactive search for hidden threats in cloud environments using AI-powered analytics and automation.
AI-Optimized Cloud Hardware
Cloud infrastructure components designed or configured to enhance AI workload performance.
AI-Optimized Databases
Database systems tailored for AI workloads, often featuring in-memory processing and distributed architectures.
AI-Powered Anomaly Detection
Use of AI algorithms to identify unusual patterns or behaviors in cloud systems and data.
AI-Powered Integration
Intelligent automation of data and application integration processes in cloud environments using AI.
AI-as-a-Service
Cloud-based offering of AI capabilities, allowing businesses to leverage AI without extensive in-house expertise.
AI-as-a-Service (AIaaS)
Cloud-based AI capabilities offered as a service, enabling easy integration of AI into applications.
AIOps 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.
Extended Resources
Custom, cluster-level resources in Kubernetes that can be allocated to containers, such as GPUs or FPGAs.
Extender
Kubernetes component allowing custom logic to be added to the scheduling process for advanced pod placement strategies.
External Admission Webhooks
HTTP callbacks that receive admission requests and can modify or reject objects before persistence in Kubernetes.
External Secrets Management Integration
Incorporation of external secret management systems like HashiCorp Vault with container platforms.
ExternalName
Kubernetes service type that maps a service to a DNS name, useful for representing external services within a cluster.
ExternalName Services
Kubernetes services that reference external resources by DNS name, facilitating access to external dependencies.
FPGA Scheduling
Allocation and management of Field-Programmable Gate Arrays as resources in container orchestration platforms.
FaaS on Kubernetes
Implementation of Function-as-a-Service platforms on Kubernetes, enabling serverless architectures in container environments.
Falco
Open-source cloud-native runtime security project, providing real-time threat detection for containerized environments.
Falco for Runtime Security
Use of Falco to monitor and alert on unexpected behavior in running containers and Kubernetes clusters.
Fault Injection
Technique of intentionally introducing failures in containerized systems to test resilience and error handling capabilities.
Feature Gates
Flags in Kubernetes used to enable or disable specific features, allowing for fine-grained control over cluster functionality.
Federated Service Mesh
Implementation of service mesh across multiple Kubernetes clusters, enabling cross-cluster service communication.
Federation
Technique for managing multiple Kubernetes clusters from a single control plane, useful for multi-cloud or hybrid deployments.
Finalizers
Kubernetes feature allowing controllers to implement asynchronous pre-delete hooks, ensuring proper resource cleanup.
Finalizers in Operators
Use of finalizers in Kubernetes operators to perform cleanup operations before custom resource deletion.
Firecracker
Lightweight virtualization technology used for creating and managing secure, multi-tenant container environments.
Firecracker MicroVMs
Minimal virtual machines used by Firecracker to provide strong isolation for containers or functions.
Fission
Open-source, Kubernetes-native serverless framework for running functions, supporting multiple languages and event triggers.
Flagger
Progressive delivery tool for Kubernetes, automating canary releases and A/B testing of containerized applications.
Flannel
Network fabric for containers designed to give a consistent, easily configured layer 3 network across multiple hosts for Kubernetes.
Flannel for Simple Overlay Networking
CNI plugin providing a simple overlay network for container communication across hosts, enabling basic networking.
FlexVolume
Out-of-tree plugin mechanism in Kubernetes for interfacing with third-party storage systems, predating CSI.
FluentD
Open-source data collector for unified logging layer, enabling efficient data collection and consumption for better use of data.
Fluentd DaemonSet
Kubernetes deployment ensuring Fluentd log collectors run on every node for comprehensive log aggregation.
Fluentd Input Plugins
Modular components in Fluentd for ingesting logs from various sources in containerized environments.
Fluentd Output Plugins
Modular components in Fluentd for sending processed logs to various destinations from containerized environments.
Flux CD
GitOps toolkit for deploying applications to Kubernetes, automating the deployment pipeline from Git repositories.
Flux v2
Next generation of Flux, providing a set of continuous delivery solutions for Kubernetes with improved modularity and features.
Function Autoscaling
Automatic adjustment of function instances based on demand in serverless container environments.
Function Buildpacks
Standardized way of building function containers, abstracting away infrastructure concerns for developers.
GPU Scheduling in Kubernetes
Process of allocating and managing GPU resources for containers running machine learning workloads.
Garden.io for Remote Kubernetes Development
Tool facilitating development and testing of Kubernetes applications in remote clusters.
Generic Ephemeral Volumes
Kubernetes feature allowing for dynamic provisioning of short-lived volumes for containers.
Geneve Overlay Networks
Network virtualization technology used in some container networking solutions for multi-tenant environments.
GitLab CI/CD
Integrated CI/CD platform with native container and Kubernetes support for building, testing, and deploying applications.
GitOps Toolkit
Set of composable APIs and specialized tools for building continuous delivery systems on top of Kubernetes.
GitOps Workflow
Operational model where the desired state of a Kubernetes cluster is version controlled and automated from a Git repository.
GlusterFS
Distributed file system that can be used for providing persistent storage to containerized applications in Kubernetes.
Go-based Operators
Kubernetes operators written in Go, leveraging the client-go library for interacting with the Kubernetes API.
Goldilocks for Resource Recommendation
Tool that provides recommendations for resource requests and limits for Kubernetes deployments.
Google Cloud Run
Managed compute platform for deploying containerized applications in a serverless environment.
Google Container Registry (GCR)
Managed Docker registry service by Google for storing, managing, and securing container images.
Grafana Dashboards
Customizable visualization panels for monitoring containerized environments and applications.
Grafana Data Sources
Configurable backends in Grafana for retrieving metrics and logs from various container monitoring systems.
Grafana Loki
Horizontally-scalable, multi-tenant log aggregation system designed for use in containerized environments.
Grafana Provisioning
Automated setup and configuration of Grafana dashboards and data sources in container deployments.
GraphQL in Containerized Environments
Implementation of GraphQL APIs in microservices architectures for flexible data querying and manipulation.
Guaranteed QoS
Kubernetes Quality of Service class ensuring pods receive the exact amount of requested resources, ideal for critical workloads.
Harbor
Open-source container registry providing content trust, vulnerability scanning, and RBAC for storing and distributing container images.
Harness CD
Continuous Delivery platform supporting various deployment strategies for containerized applications in Kubernetes environments.
Headless Services
Kubernetes services that don't allocate a cluster IP, used for direct pod-to-pod communication in stateful applications.
Helm
Package manager for Kubernetes that helps you define, install, and upgrade even the most complex Kubernetes applications.
Helm Charts
Packages of pre-configured Kubernetes resources, facilitating the deployment and management of complex applications.
Helm Hooks
Helm feature allowing custom actions to be performed at specific points in a release's lifecycle, enhancing deployment flexibility.
Helm Operator
Kubernetes operator that manages Helm releases, automating the deployment and lifecycle of Helm-based applications.
Helm Repositories
Storage locations for packaged Helm charts, enabling version control and distribution of containerized application configurations.
Helm Values
Mechanism in Helm for parameterizing chart templates, allowing for customization of deployments across different environments.
Helm-based Operators
Kubernetes operators leveraging Helm charts for managing the lifecycle of complex, stateful applications.
Hierarchical Namespaces
Kubernetes feature allowing nested namespaces, providing finer-grained resource isolation and multi-tenancy capabilities.
Horizontal Pod Autoscaler
Kubernetes controller that automatically adjusts the number of pods in a deployment based on observed metrics.
Horizontal Pod Autoscaler Metrics
Metrics used by HPA to determine when to scale containerized applications, including CPU, memory, and custom metrics.
Horizontal Pod Autoscaler with Custom Metrics
Extended HPA functionality allowing scaling decisions based on application-specific or external metrics.
HorizontalPodAutoscaler
Kubernetes resource defining the behavior for automatically scaling the number of pods in a replication controller or deployment.
Host Networking
Container networking mode where pods use the host's network namespace, bypassing virtual networks for improved performance.
HugePages
Linux kernel feature for managing large memory pages, improving performance for memory-intensive containerized applications.
IPVS
IP Virtual Server, a transport-layer load balancing technology used in Kubernetes for efficient service proxying and load distribution.
IPsec for Container Networks
Implementation of IPsec protocols to secure container-to-container communications across hosts and clusters.
IPv4/IPv6 Dual-Stack
Kubernetes feature enabling pods and services to be assigned both IPv4 and IPv6 addresses, facilitating transition to IPv6.
IPv6 in Kubernetes
Support and configuration for using IPv6 addressing in Kubernetes clusters, enabling large-scale container deployments.
Idempotent API Design
Approach to designing APIs that can be called multiple times without changing the result, crucial for reliable microservices.
Image
Lightweight, standalone, executable package that includes everything needed to run a piece of software.
Image Digests
Unique identifiers for container images, ensuring consistency and integrity across different environments and registries.
Image Index (Fat Manifest)
OCI specification for multi-architecture container images, allowing a single image to support multiple platforms.
Image Layer Caching
Technique for reusing unchanged layers when building or pulling container images, improving build and deployment speed.
Image Layer Optimization
Strategies for reducing the size and number of layers in container images, improving storage efficiency and pull times.
Image Manifest
Metadata file describing the contents and configuration of a container image, crucial for image distribution and deployment.
Image Manifest V2 Schema 2
Standardized format for container image manifests, supporting multi-architecture images and content-addressable layers.
Image Promotion
Process of moving container images through different environments (e.g., dev, staging, production) in a controlled manner.
Image Pulling
Process of downloading container images from a registry to a local environment or container runtime.
Image Pushing
Process of uploading locally built container images to a remote registry for distribution and deployment.
Image Retention Policies
Rules defining how long container images are kept in a registry, balancing storage costs with availability needs.
Image Scanning
Automated process of analyzing container images for vulnerabilities, misconfigurations, and compliance issues.
Image Signing
Cryptographic process of digitally signing container images to ensure their integrity and authenticity during distribution.
Image Signing and Verification
End-to-end process of cryptographically signing container images and verifying their authenticity before deployment.
Image Squashing
Technique of combining multiple layers of a container image into a single layer, potentially reducing image size and complexity.
Image Tagging
Process of assigning human-readable labels to container images, facilitating version management and deployment workflows.
Image Vulnerability Scanning
Automated security analysis of container images to identify known vulnerabilities in installed packages and dependencies.
ImageService
Component in container runtimes responsible for managing image-related operations like pulling, pushing, and local storage.
Immutable Infrastructure
Practice of replacing entire container instances instead of modifying existing ones, enhancing consistency and reliability.
Imperative Deployments
Approach to deploying containerized applications by directly specifying the desired actions, as opposed to declarative methods.
In-Memory Data Grids
Distributed data management systems optimized for high-performance data processing in containerized environments.
In-Place Upgrades
Technique for updating containerized applications or infrastructure components without full redeployment, minimizing downtime.
In-Tree Plugins
Built-in plugins in Kubernetes for various functionalities, as opposed to out-of-tree or external plugins.
Incremental Image Transfer (eStargz)
Technique for optimizing container image distribution by allowing partial and on-demand loading of image layers.
Infrastructure as Code (IaC) Testing
Automated testing of infrastructure definitions, ensuring consistency and reliability in container deployments.
Ingress
Kubernetes API object managing external access to services in a cluster, typically HTTP, providing load balancing and SSL termination.
Ingress Controllers
Components implementing the Ingress resource in Kubernetes, managing the routing of external traffic to internal services.