Engineering Glossary

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The process of recursively dereferencing a Git object to reveal its underlying object type.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

A Git repository with an intentionally truncated history, often created through shallow cloning.

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

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

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

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

Capability of different blockchain networks to exchange and use information across cloud platforms.

Cloud-based blockchain infrastructure and management tools offered as a service, simplifying blockchain adoption.

Cloud platforms offering blockchain infrastructure and tools as a managed service for easy deployment and scaling.

Immutable, distributed ledgers recording all actions and changes to cloud resources for enhanced accountability.

Distributed databases using blockchain for data storage and validation in cloud environments.

Use of blockchain technology for secure, decentralized network management and routing in cloud infrastructures.

Immutable records of security events and access logs in cloud systems using blockchain technology.

Use of blockchain technology to enhance security, integrity, and transparency of cloud services and data.

Cloud-hosted blockchain networks for tracking and verifying supply chain transactions and product provenance.

Cloud deployment strategy using two identical environments to minimize downtime and risk during updates.

Technique using two identical production environments to reduce downtime and risk when deploying new versions of cloud applications.

Internet routing protocol used in cloud networking to exchange routing information between autonomous systems.

Experimental systems allowing direct neural control of cloud resources and services.

Notifications triggered when cloud spending reaches predefined thresholds to help control costs.

Tools and practices for setting, tracking, and controlling cloud service expenditures.

Cloud-based platforms for data analysis and visualization, e.g., Amazon QuickSight, Power BI.

Architectural pattern separating read and write operations in cloud-based applications.

Open-source networking and security solution for containers and Kubernetes in cloud environments.

Technique of rolling out changes to a small subset of users before full deployment in cloud environments.

Tools and methods for estimating the environmental impact of cloud resource usage.

Metric measuring the carbon emissions associated with data center energy consumption in cloud facilities.

Cloud computing practices that consider and optimize for carbon emissions in resource allocation and usage.

Cloud infrastructure and algorithms designed to minimize carbon footprint by optimizing energy use and sourcing.

Cloud resource management that schedules tasks based on availability of low-carbon energy sources.

Consolidation of log data from various cloud services and applications into a single, searchable repository.

Cloud-based systems for designing, running, and analyzing controlled experiments to test system resilience.

Software used to intentionally introduce failures in cloud systems to test and improve their resilience.

Cloud-based platforms for designing and executing controlled experiments to test system resilience.

Frameworks for allocating and billing cloud service costs to different departments or projects within an organization.

Methods for allocating cloud costs to business units, showing actual charges or usage without billing.

Cloud-based platforms for building, deploying, and managing conversational AI agents.

Open-source, eBPF-based networking, observability, and security solution for container and Kubernetes environments.

Design pattern that prevents cascading failures in distributed cloud systems by temporarily disabling failing components.

Practices promoting reuse, refurbishment, and recycling of cloud infrastructure components.

Software that provides a unified interface to multiple cloud providers, simplifying multi-cloud management.

Service that mediates between cloud users and providers, enforcing security policies and monitoring usage.

Structured approach for planning and implementing cloud migration and optimization strategies.

Tools and services for processing and analyzing large datasets using cloud-based resources.

Systems for discovering, classifying, and managing cloud resources across an organization's infrastructure.

Processes and tools for tracking, optimizing, and governing cloud resources throughout their lifecycle.

Intermediary service that helps organizations select, integrate, and manage multiple cloud services.

Technique of extending on-premises infrastructure into the cloud to handle peak workloads.

Content Delivery Network services that distribute data from cloud origins to global edge locations for faster access.

Tools and practices for measuring and reporting the environmental impact of cloud resource consumption.

Cross-functional team responsible for cloud strategy, governance, and best practices within an organization.

Process of adjusting cloud resource settings to improve performance, security, and cost-efficiency.

Automated identification of unusual or unexpected changes in cloud spending patterns.

Strategies and tools for reducing cloud expenses while maintaining performance and meeting business needs.

Open-source tool for managing and enforcing cloud security, compliance, and cost optimization policies.

Scalable, managed Domain Name System service for translating domain names to IP addresses in cloud environments.

Services ensuring data storage and processing comply with regional data residency and privacy laws.

Framework for defining cloud infrastructure using familiar programming languages instead of configuration files.

Practices and tools for managing, optimizing, and reporting on cloud spending and resource utilization.

Serverless compute platform for running event-driven code without managing infrastructure.

Service that streams video games from cloud servers to user devices, reducing hardware requirements.

Set of policies, processes, and tools for managing and controlling cloud resource usage and compliance.

Tools for managing access rights and permissions across multi-cloud environments.

Service providing direct, private network connections between on-premises networks and Google Cloud.

Strategies and tools for managing software licenses in cloud environments to reduce costs and ensure compliance.

Integrated suite of tools for monitoring, managing, and optimizing multi-cloud and hybrid cloud environments.

Evaluation of on-premises IT assets to determine feasibility, strategy, and costs for moving to the cloud.

Tools and services for tracking performance, availability, and health of cloud resources and applications.

Tools for monitoring and optimizing performance of applications built for cloud environments.

Standardized way to transform application source code into container images for cloud deployment.

Continuous integration and delivery practices optimized for cloud-native application development and deployment.

Database systems designed to leverage cloud infrastructure for scalability, resilience, and performance.

Network architectures and technologies optimized for cloud-native application environments.

Practices and tools for monitoring, logging, and tracing cloud-native applications and infrastructure.

Security practices and tools designed specifically for protecting cloud-native applications and infrastructure.

Storage systems designed to integrate seamlessly with cloud-native applications and container orchestrators.

Tools and practices for automating the deployment, configuration, and management of cloud network resources.

Virtualizing network functions like firewalls and load balancers in cloud environments.

AI-driven tools for optimizing and securing cloud network performance and operations.

Services for measuring and comparing performance metrics across different cloud providers and configurations.

Use of cloud computing resources for processing and generating complex graphics or animations.

Process of moving applications or data from public cloud environments back to on-premises or private cloud infrastructure.

Integration of cloud computing with robotics, enabling robots to leverage cloud resources for processing and data storage.

Cloud-based tools for processing and analyzing large datasets generated by robotic systems.

Measures and tools to protect cloud-connected robotic systems from cyber threats and unauthorized access.

Cloud-based platforms for testing and training robotic systems in virtual environments.

Fully managed platform for deploying and scaling containerized applications in a serverless environment.

Comprehensive measures and tools to protect data, applications, and infrastructure in cloud computing environments.

Tools for continuously monitoring and improving security risks in cloud infrastructure configurations.

Centralized repository of available cloud services and resources within an organization.

Tools and practices for analyzing and optimizing cloud expenditures across an organization.

Automated identification of unusual or unexpected patterns in cloud service usage and costs.

Predictive analytics tools for estimating future cloud costs based on historical usage and trends.

Wide Area Network service that connects and manages global network resources using cloud infrastructure.

Managed service for connecting and managing global network resources using cloud infrastructure.

Security solutions designed to protect cloud-native applications and workloads across multiple environments.

Services for storing, versioning, and collaborating on 3D models and assets in the cloud.

Services providing image and video analysis capabilities for cloud-connected robotic systems.

Platforms offering human-powered or AI-assisted data annotation for machine learning models.

Virtual representations of physical objects or systems, powered by cloud computing and IoT data.

OS designed to manage resources across multiple cloud environments as a single system.

Platforms offering pre-trained or customizable generative AI models as cloud services.

Services using cloud computing to generate and deliver tactile sensations for virtual or augmented reality experiences.

Services utilizing cloud resources to process and analyze motion capture data for animation or biomechanics.

Platforms offering scalable environments and resources for training AI agents using reinforcement learning algorithms.

Services enabling robots to learn and improve their capabilities using cloud-based AI and machine learning resources.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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