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.

Systems integrating blockchain technology with traditional cloud services for enhanced security and transparency.

Tools and practices for managing resources across public and private cloud environments.

Tracking performance and health of resources spanning both public and private cloud environments.

Coordinating and automating workflows across multiple cloud environments and on-premises infrastructure.

Data storage solutions that span both on-premises and cloud environments, offering flexible and scalable data management.

Network solutions that connect on-premises infrastructure with cloud services, enabling seamless integration and data flow.

Managing user identities and access across both on-premises systems and cloud services.

Tools for connecting applications, data, and processes across on-premises and cloud environments.

Computational methods combining quantum and classical processing in cloud environments.

Using both quantum and classical computing resources in tandem for cloud-based problem-solving.

Database systems supporting both real-time transactions and analytics in cloud environments.

Integrated compute, storage, and networking in a single cloud-managed system, simplifying data center architecture.

Process of optimizing machine learning model parameters in cloud-based environments.

Software layer that manages virtual machines in cloud computing environments, enabling efficient resource utilization and isolation.

Defined permissions and access controls for users and services in cloud environments.

International standard for information security management in cloud environments.

Security tools that verify user identity before granting access to cloud applications.

Automated process of examining container images for vulnerabilities in cloud environments.

Security approach based on replacing rather than modifying cloud infrastructure components.

Cloud storage that prevents data modification after writing, ensuring data integrity and compliance.

Database system that primarily uses main memory for data storage in cloud environments.

Distributed computing using the collective memory of networked computers in the cloud.

Processing data within network devices to reduce latency and bandwidth use in cloud architectures.

Systems for efficiently updating computation results when input data changes in cloud environments.

Process of organizing data to optimize query performance in cloud databases, enhancing search and retrieval efficiency.

Automated tools for identifying security issues in infrastructure definition files.

Validating infrastructure definitions before deployment in cloud environments, ensuring reliability and consistency.

Cloud-based provision of virtualized computing resources over the internet, including servers, storage, and networking.

Generating cloud infrastructure configurations directly from application code, streamlining development and deployment processes.

Predefined virtual server configurations optimized for different use cases in cloud environments.

Visual tool for creating and managing data integration processes in cloud environments.

Tools for tracking and analyzing the performance of integrated cloud systems and processes.

Automated data storage class selection based on access patterns in cloud environments.

Automatic movement of data between storage tiers based on usage patterns in the cloud.

Network management approach using AI to automate configuration based on business intent.

Network node that connects cloud VPCs to the internet, enabling communication with external resources.

Decentralized storage system for distributing and accessing files in the cloud, enhancing data availability and resilience.

Security tool that monitors network traffic for suspicious activity in cloud environments.

Security system that not only detects but also blocks potential threats in cloud networks.

Processing and analyzing data from Internet of Things devices in cloud environments.

Identifying unusual patterns in data from IoT devices using cloud-based analytics.

Fully managed IoT application platform in the Azure cloud for connecting, monitoring, and managing IoT devices at scale.

Process of collecting and importing data from IoT devices into cloud systems for storage, analysis, and processing.

Centralized repository in the cloud for storing large volumes of IoT device data.

Cloud-based systems for monitoring, updating, and controlling IoT devices, ensuring efficient operation and security at scale.

Process of setting up and configuring IoT devices for secure cloud connectivity.

Software development kit for building applications that connect IoT devices to cloud services.

Deploying cloud intelligence directly to IoT devices for local processing and analytics.

Processing data from IoT devices locally before sending to the cloud, reducing latency and bandwidth usage.

AWS service for running local compute, messaging, and data caching for connected IoT devices.

Central message hub for bi-directional communication between IoT applications and devices.

Tools for connecting and managing diverse IoT devices and data streams in cloud environments.

Cloud-based tools for managing IoT devices from deployment through retirement, ensuring efficient device administration.

Remote software updates for IoT devices managed through cloud platforms, ensuring device security and functionality.

Cloud-based platform for developing, managing, and integrating IoT applications and devices.

Lightweight communication protocols designed for IoT devices in cloud environments.

Cloud service for processing and acting on data from IoT devices based on predefined conditions.

Measures to protect IoT devices, data, and infrastructure in cloud-connected environments.

Real-time processing and analysis of data streams from IoT devices in the cloud.

Cloud service for creating and managing cryptographic keys for data encryption, ensuring secure data protection.

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

Kubernetes-native serverless framework enabling function deployment without managing underlying infrastructure.

Rules for controlling network traffic between pods in Kubernetes clusters, enhancing security in cloud-native environments.

Tools for assessing and improving security configurations in Kubernetes environments.

Managed Kubernetes platforms offered by major cloud providers for container orchestration.

Kubernetes native configuration management tool for customizing application configurations.

AWS service for running Lambda functions at edge locations to customize content delivery.

Template for EC2 instance settings used in Auto Scaling groups, defining instance type, AMI, and other parameters.

Security concept of granting only the minimum permissions necessary in cloud environments.

Managing software licenses efficiently to reduce costs in cloud environments, ensuring compliance and cost-effectiveness.

Migration strategy of moving applications to the cloud without significant modifications.

Minimalist virtual machines designed for fast startup and low resource usage in cloud environments.

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

Using liquid to dissipate heat in densely packed cloud data centers for improved efficiency.

Service that distributes incoming network traffic across multiple servers to ensure no single server becomes overwhelmed.

Process of collecting, analyzing, and visualizing log data from cloud resources for insights and troubleshooting.

AI-driven analysis of log data to identify patterns, anomalies, and insights in cloud environments.

Tools for building application integrations with minimal hand-coding in cloud environments.

Cloud-based tools for creating applications with little to no traditional programming.

Cloud services enabling app development with minimal coding, using visual interfaces and pre-built components.

Lightweight messaging protocol designed for IoT devices and low-bandwidth networks in cloud ecosystems.

Cloud-based services for building, training, and deploying machine learning models at scale.

Centralized management of critical business data entities in cloud environments.

Tools for developing AI models that can learn how to learn, improving adaptability in cloud environments.

Cloud tools for organizing, integrating, and governing metadata across various data sources.

Advanced antenna designs using engineered materials to enhance cloud network performance.

Gathering and storing quantitative data about cloud resource performance and usage.

Architectural style where frontend apps are composed from independently deployable components in the cloud.

Automating the process of dividing cloud networks into secure zones for enhanced protection.

Connecting and coordinating interactions between independent microservices in cloud architectures.

Strategic process of preparing and scheduling the move of applications and data to cloud environments.

Cloud-based platforms for developing and deploying mixed reality applications, combining virtual and physical environments.

Bringing cloud computing capabilities closer to mobile users to reduce latency and improve performance.

Extending cloud computing capabilities to the edge of mobile networks for lower latency.

Process of making machine learning models available for use in cloud production environments.

Techniques for understanding and interpreting decisions made by AI models in cloud environments.

Tracking the performance and behavior of deployed machine learning models in cloud environments.

Centralized repository for storing and managing machine learning models in cloud environments.

Process of making trained machine learning models available for real-time predictions in cloud environments.

Process of teaching machine learning algorithms to make predictions using data in cloud environments.

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.