Engineering Glossary

A single set of stashed changes in Git, which can be reapplied later to the working directory.

Automated tests or processes that run when changes are proposed in a Git repository, ensuring code quality and compatibility.

Notifications or updates a user receives about activity in Git repositories they're interested in or contributing to.

The main Git repository that contains submodules, managing references to specific versions of nested repositories.

A symbolic reference in Git that points to another reference, most commonly used for HEAD pointing to the current branch.

A Git object containing metadata about a tag, including the tagger, date, and optional message.

A group of users on a Git platform with shared access permissions to repositories within an organization.

A user with administrative privileges for managing a team's membership and access rights in a Git organization.

A chronological display of events and activities in a Git repository or user profile on hosting platforms.

A short-lived Git branch created to develop a specific feature or fix a particular issue.

Keywords or categories assigned to Git repositories to help users discover related projects on hosting platforms.

A visual representation of visitor activity and clone statistics for a Git repository on hosting platforms.

The process of moving Git objects between repositories during push, fetch, or clone operations.

A Git object representing a directory structure, containing references to blobs (files) and other trees (subdirectories).

A Git object that stores the hierarchy of files and directories in a repository at a specific point in time.

A Git term referring to an object that resolves to a tree, such as a commit, tag, or tree.

A state of a Git branch that has no commits yet, typically seen when initializing a new repository.

The state of the Git index containing conflicting changes from different branches during a merge operation.

A Git object not accessible from any reference, potentially subject to garbage collection if not recovered.

The remote branch that a local branch is set to track, used as a reference for pull and push operations.

An individual account on a Git platform, associated with personal repositories and contributions.

An authenticated request from a Git client to a server, typically for operations like push or fetch.

The unique identifier for a user account on Git platforms, used for authentication and mention notifications.

A team in a Git organization that is visible to all members of the organization, as opposed to secret teams.

A feature allowing users to receive notifications about activity in Git repositories they're interested in.

Alerts received for all notable events in a watched Git repository, including issues, pull requests, and releases.

Alerts displayed on Git platforms' web interfaces, notifying users of relevant activity or mentions.

The directory on your local machine where you modify files before staging and committing them in Git.

The set of files and directories in your project that are currently checked out and available for editing.

A Git feature allowing multiple working directories to be associated with a single repository.

Permission to make changes to a Git repository, including pushing commits and modifying branches.

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.

Design pattern using DaemonSets to run system daemons or agents on every node in a cluster.

Processes and tools for preserving and restoring data in containerized environments, ensuring data durability.

Techniques ensuring data integrity across distributed container-based applications, maintaining reliability.

Distributed data management architecture providing consistent data access across containerized applications.

Unified data architecture combining data lake and data warehouse features in containerized environments.

Process of moving data between containers or from traditional systems to containerized applications.

Techniques for maintaining data across container lifecycles, including volume mounts and persistent volumes.

Network layer responsible for forwarding container traffic based on control plane decisions.

Techniques for creating and maintaining copies of data across multiple containerized instances.

Partitioning data across multiple database containers for improved scalability and performance.

Process of running database systems within containers for improved portability and resource utilization.

Microservices design pattern where each service has its own dedicated database, ensuring data isolation.

Platform for observability and monitoring of containerized environments and microservices.

Design pattern for handling failed message processing in containerized message-driven systems.

Approach to deploying containers by specifying desired state rather than imperative commands.

Techniques for rolling out container updates, including rolling updates, blue-green, and canary deployments.

Kubernetes component that evicts pods from nodes based on specific policies to optimize cluster resource usage.

Standardized format defining the structure and metadata of Docker container images, ensuring portability.

Kubernetes feature allowing nodes to advertise system hardware resources to the cluster, enabling specialized hardware use.

Network optimization technique in container load balancing for improved performance by bypassing the load balancer for responses.

Implementation of tracing in containerized microservices for end-to-end request visibility.

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

Implementation of OpenTelemetry for standardized observability in containerized environments.

Minimal container images containing only the application and its runtime dependencies, reducing attack surface.

Command to attach local standard input, output, and error streams to a running container for interaction and debugging.

Set of files located in the specified PATH or URL, used during the docker build process to create images.

Docker CLI plugin for extended build capabilities, including multi-platform builds and enhanced build options.

Component enabling Docker to be used as a container runtime in Kubernetes via the Container Runtime Interface.

Command-line tool for interacting with Docker daemon and managing containers, images, and other Docker objects.

Command creating a new image from a container's changes, useful for saving modifications made to a running container.

Tool for defining and running multi-container Docker applications, simplifying the process of managing complex application stacks.

Process of viewing detailed information about a container's configuration and state, aiding in troubleshooting.

Feature providing digital signing and verification of Docker images, ensuring image authenticity and integrity.

Process of validating the authenticity and integrity of signed Docker images before use.

Feature allowing management of multiple Docker endpoints from a single Docker client, simplifying multi-environment management.

Background service managing Docker objects like images, containers, networks, and volumes.

Command allowing users to run a new process inside a running container, useful for debugging and maintenance tasks.

Commands for exporting a container's filesystem as a tarball and importing it as an image.

Cloud-based repository service for finding and sharing container images, central to the Docker ecosystem.

Command showing the history of an image's layers, providing insight into how the image was built and modified.

Process of examining Docker image metadata, including layers, environment variables, and exposed ports.

Standardized format defining the structure and metadata of Docker container images, ensuring portability.

Virtualized network providing connectivity between Docker containers, isolating container traffic from the host network.

Different networking modes in Docker, including bridge, host, overlay, and macvlan, offering varied connectivity options.

Command for removing unused Docker objects like containers, networks, images, and volumes.

Commands for exporting Docker images to tar archives and importing them back, useful for image transfer and backup.

Command-line tool for scanning Docker images for vulnerabilities, providing detailed reports on potential security issues.

Deprecated component that provided CRI compatibility for Docker in Kubernetes, bridging Docker and CRI.

Unix socket or named pipe used for communication between Docker client and daemon, enabling Docker API access.

Command displaying a live stream of container resource usage statistics, including CPU, memory, and network I/O.

Native clustering and orchestration solution for Docker, allowing you to create and manage a swarm of Docker nodes as a single virtual system.

Real-time stream of Docker daemon events, providing insights into container, image, volume, and network activities.

Command displaying the running processes of a container, similar to the Unix top command but container-specific.

Persistent data storage mechanism for containers, independent of container lifecycle, enabling data persistence.

Different storage backends for Docker volumes, including local, NFS, and cloud-specific drivers.

Text document containing all the commands a user could call on the command line to assemble a Docker image.

Instruction defining build-time variables that users can pass at build-time to the builder.

Guidelines for creating efficient, secure, and maintainable Dockerfiles, optimizing image builds and runtime performance.

Instruction telling Docker how to test a container to check its health status, improving reliability.

Set of commands used in Dockerfiles to build images, including ADD, COPY, RUN, CMD, and ENTRYPOINT.

Set of commands used in Dockerfiles to build images, including ADD, COPY, RUN, CMD, and ENTRYPOINT.

Instruction setting the system call signal that will be sent to the container to exit, customizing shutdown behavior.

File specifying which files and directories should be excluded when building a Docker image.

Approach to software design focusing on the core domain in containerized microservices architectures.

P2P-based image and file distribution system to improve efficiency of image downloads in container environments.

Process of cordoning a node and evicting its pods in preparation for maintenance or decommissioning.

Networking configuration supporting both IPv4 and IPv6 in container environments, enabling broader connectivity options.

Kubernetes feature allowing custom logic to be applied to object creation or modification requests.

Kubernetes feature enabling runtime configuration of audit policies without API server restart.

Automatic creation of storage when persistent volume claims are made in Kubernetes, simplifying storage management.

Monitoring solution for containerized environments, providing deep visibility into application performance.

Combination of Elasticsearch, Logstash, and Kibana for logging and monitoring containerized environments.

Network communication between containers or services within the same cluster or data center.

Deployment of artificial intelligence and machine learning models on edge devices using containers.

Processing and analyzing data at the network edge using containerized analytics applications.

Tools and practices for managing containerized workloads on edge devices, ensuring consistent deployment and updates.

Management and coordination of containerized applications across distributed edge locations.

Security measures and practices specific to containerized edge computing environments, protecting distributed workloads.

Techniques for efficiently distributing containerized workloads across edge devices, optimizing resource usage.

Synchronization of data and state between edge containers and cloud-based systems, ensuring consistency.

Component controlling outbound traffic from a container cluster to external services, enhancing security and traffic management.

Service mesh components managing outbound traffic from the mesh to external services, providing fine-grained control.

Management and policies for outbound network traffic from containers, ensuring security and compliance.

Application Performance Monitoring tool for containerized applications in the Elastic Stack.

Sensitive data stored in an encrypted form in container orchestration platforms, enhancing security.

Comprehensive testing of containerized applications from start to finish, validating entire system functionality.

Kubernetes API resource providing a more scalable alternative to Endpoints for service discovery.

Key-value pairs passed to containers at runtime, used for configuration and runtime behavior control.

High-performance proxy often used in service mesh implementations for containerized environments.

Temporary containers used for troubleshooting or debugging in Kubernetes pods, without affecting the main containers.

Short-lived storage volumes in Kubernetes that share the lifecycle of a pod, useful for temporary data storage.

Routing strategy for load balancing network traffic across multiple paths in container networks.

Distributed key-value store that provides a reliable way to store data across a cluster of machines.

Destinations for cluster-level events in container orchestration platforms, used for monitoring and alerting.

Components or services generating events in containerized environments, often used in event-driven architectures.

Pattern of storing changes to application state as a sequence of events, often used in microservices architectures.

Design pattern capturing all changes to application state as a sequence of events, useful in distributed systems.

Implementation of event sourcing pattern in containerized microservices architectures, ensuring data consistency.

Design approach where containerized services produce, detect, and react to events, enabling loose coupling and scalability.

Rules determining which pods to terminate when a node is under resource pressure in Kubernetes clusters.