Engineering Glossary

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

DevOps
Cloud Computing
Git
Containerization & Orchestration

"As code"

Defining and managing infrastructure, configurations, or processes using code, enabling version control, automation, and reproducibility.
DevOps

"Nines"

Measure of system availability, expressed as a percentage. E.g., "five nines" means 99.999% uptime, allowing for minimal downtime.
DevOps

"Single Pane of Glass"

Unified display or interface that integrates data from multiple sources, providing a comprehensive view of system status or operations.
DevOps

A/B Testing

Comparing two versions of a webpage or app to determine which performs better, based on user interaction and conversion rates.
DevOps

AIOps (Artificial Intelligence Operations)

Using AI and machine learning to enhance IT operations, automating tasks and providing insights for better decision-making.
DevOps

ALB (Application Load Balancing)

Distributes incoming application traffic across multiple targets to improve availability and fault tolerance.
DevOps

API

Application Programming Interface; set of protocols and tools for building software applications and enabling communication between systems.
DevOps

API Discovery

Process of identifying and documenting available APIs within an organization or from external sources.
DevOps

API Endpoint

Specific URL where an API can be accessed and where requests are sent to interact with a server or service.
DevOps

API Gateway

Manages, secures, and routes API requests, acting as a single entry point for multiple microservices or backend systems.
DevOps

API Management

Process of creating, publishing, documenting, and analyzing APIs in a secure environment.
DevOps

API Monitoring

Tracking API performance, availability, and usage to ensure optimal functionality and identify issues.
DevOps

API Response Time

The duration between sending a request to an API and receiving the response, crucial for performance evaluation.
DevOps

API Security

Measures and practices to protect APIs from unauthorized access, attacks, and data breaches.
DevOps

API Versioning

Managing different versions of an API to maintain compatibility while allowing updates and improvements.
DevOps

ASG (Auto Scaling Group)

Feature in cloud computing that automatically adjusts the number of instances based on defined conditions.
DevOps

ASP.Net Core Monitoring

Observing and analyzing the performance and behavior of applications built with ASP.Net Core framework.
DevOps

ATO (Account Takeover)

Type of identity theft where an attacker gains unauthorized access to a user's account.
DevOps

AWS (Amazon Web Services)

Cloud computing platform offering a wide range of services for computing, storage, networking, and more.
DevOps

AWS App Development Tools

Suite of tools provided by AWS for building, testing, and deploying applications on their cloud platform.
DevOps

AWS CLI

Command-line interface for interacting with AWS services, allowing users to manage resources and automate tasks.
DevOps

AWS CloudWatch

Monitoring and observability service for AWS resources and applications, providing metrics, logs, and alarms.
DevOps

AWS CodeDeploy

Fully managed deployment service that automates software deployments to various compute services.
DevOps

AWS CodePipeline

Continuous delivery service for fast and reliable application and infrastructure updates.
DevOps

AWS EC2

Elastic Compute Cloud; scalable computing capacity in the AWS cloud for running virtual servers.
DevOps

AWS ELB

Elastic Load Balancing; automatically distributes incoming application traffic across multiple targets.
DevOps

AWS Lambda

Serverless compute service that runs code in response to events and automatically manages the underlying resources.
DevOps

AWS Managed Services

Ongoing management of AWS infrastructure, allowing customers to focus on their applications and business.
DevOps

AWS Monitoring

Process of tracking and analyzing the performance, health, and usage of AWS resources and applications.
DevOps

AWS RDS

Relational Database Service; managed service for setting up, operating, and scaling relational databases in the cloud.
DevOps

AWS RDS Postgres Monitoring

Tracking and analyzing the performance and health of PostgreSQL databases running on AWS RDS.
DevOps

AWS S3

Simple Storage Service; object storage service offering industry-leading scalability, data availability, and performance.
DevOps

AWS S3 Cost Optimization

Strategies and practices to reduce costs associated with storing and accessing data in AWS S3.
DevOps

AWS Security

Set of tools, services, and best practices for protecting data, applications, and infrastructure in the AWS cloud.
DevOps

Acceptance Test-Driven Development (ATDD)

Software development approach where acceptance tests are written before the code, guiding implementation.
DevOps

Active Directory

Microsoft's directory service for Windows domain networks, managing users, computers, groups, and other objects.
DevOps

Advanced Rate Limiting

Technique to control the rate of incoming requests to an API or service, preventing overload and ensuring fair usage.
DevOps

Agent

Software component that performs automated tasks, often used in monitoring, data collection, or system management.
DevOps

Agile

Iterative approach to software development emphasizing flexibility, collaboration, and rapid delivery of working software.
DevOps

Agile Manifesto

Document outlining values and principles of Agile software development, prioritizing individuals, working software, and adaptability.
DevOps

Agile Methodology

Set of practices based on Agile principles, focusing on iterative development, team collaboration, and customer feedback.
DevOps

Agile Organization

Company structure that emphasizes adaptability, quick response to change, and continuous improvement.
DevOps

Agile Project Management

Applying Agile principles to project management, focusing on iterative planning, frequent delivery, and team empowerment.
DevOps

Agile Software Development

Iterative approach to building software, emphasizing flexibility, collaboration, and rapid delivery of working features.
DevOps

Ajax Requests

Technique for creating fast, dynamic web pages by exchanging small amounts of data with the server behind the scenes.
DevOps

Alerting

System for notifying relevant personnel about critical events or issues in IT infrastructure or applications.
DevOps

Amazon Aurora

Fully managed relational database engine compatible with MySQL and PostgreSQL, designed for the cloud.
DevOps

Amazon Web Services (AWS)

A cloud platform offering a wide range of services like computing power, storage, and databases, enabling scalable, flexible solutions.
DevOps

Android Deployment

Process of distributing and installing Android applications on devices or making them available through app stores.
DevOps

Android Emulator

Software tool that simulates Android devices on a computer for testing and development purposes.
DevOps

Android Studio

Official integrated development environment (IDE) for Android app development, offering a comprehensive set of tools and features.
DevOps

Anomaly Detection

Process of identifying unusual patterns or behaviors that deviate from expected norms in data or system behavior.
DevOps

Ansible

Open-source automation tool for configuration management, application deployment, and task automation.
DevOps

Antifragile

Quality of systems that gain strength from disorder or stress, becoming more resilient in the face of challenges.
DevOps

Apache

Popular open-source web server software that can run on various platforms, known for its reliability and extensive feature set.
DevOps

App Store Connect

Apple's platform for managing apps, viewing analytics, and submitting to the App Store.
DevOps

AppDynamics

Application performance management and IT operations analytics platform for monitoring and optimizing application performance.
DevOps

Application Containerization

Packaging software code and dependencies into lightweight, portable containers for consistent deployment across environments.
DevOps

Application Firewall

Security system that monitors, filters, and blocks HTTP/HTTPS traffic to and from web applications.
DevOps

Application Infrastructure

The hardware, software, and networking components required to run and support an application.
DevOps

Application Lifecycle Management

Process of managing an application from ideation through retirement, including development, testing, and maintenance.
DevOps

Application Migration

Process of moving an application from one environment to another, often involving cloud or platform transitions.
DevOps

Application Performance Monitoring (APM)

Tools and practices for monitoring and managing the performance and availability of software applications.
DevOps

Application Platform

Software framework that provides a foundation for developing and running applications, often including runtime services and APIs.
DevOps

Application Program Interface (API)

Set of protocols, routines, and tools for building software applications and enabling communication between different software systems.
DevOps

Application Release Automation (ARA)

Process of packaging and deploying applications automatically across various environments and platforms.
DevOps

Application Security

Measures taken to improve the security of an application by finding, fixing, and preventing vulnerabilities.
DevOps

Application Team

Group responsible for developing, maintaining, and improving a specific application or set of applications.
DevOps

Application Whitelisting

Security practice that specifies which applications are permitted to run on a system, blocking all others.
DevOps

Application Workflow

Sequence of tasks or processes within an application, often automated to improve efficiency and consistency.
DevOps

Aptly

Debian repository management tool that makes it easy to mirror existing repositories and create new ones.
DevOps

Artifact

Any file or object produced during the software development process, such as compiled code, documentation, or test results.
DevOps

Artifactory

Repository manager for storing and managing software packages, artifacts, and dependencies.
DevOps

Artifacts

Byproducts of software development, including executables, libraries, documentation, and other files created during the process.
DevOps

Artificial Intelligence (AI)

Computer systems capable of performing tasks that typically require human intelligence, such as learning and problem-solving.
DevOps

Asgard

Open-source web-based tool for cloud management and application deployment, primarily used with Amazon Web Services.
DevOps

Asterisk

Open-source framework for building communications applications, particularly used for creating custom telephone systems.
DevOps

Atom

Open-source text and source code editor developed by GitHub, known for its customizability.
DevOps

Attack Surface

Total sum of vulnerabilities in a given system that are accessible to an attacker.
DevOps

Attack Vector

Method or pathway used by a malicious actor to gain unauthorized access to a computer or network.
DevOps

Audit Log

Chronological record of system activities, providing a trail for tracking user actions and system events.
DevOps

Auditd

Linux daemon that monitors and logs system activities to detect security violations.
DevOps

Authentication Factor

Piece of information or process used to verify a user's identity, such as passwords, biometrics, or security tokens.
DevOps

Automated Builds

Process of compiling source code into executable software without manual intervention, often part of CI/CD pipelines.
DevOps

Automation

Use of technology to perform tasks with minimal human intervention, improving efficiency and reducing errors.
DevOps

Autonomy

Degree of independence and self-governance given to teams or systems in making decisions and performing tasks.
DevOps

Awsbox

Tool for deploying node.js apps to Amazon Web Services, simplifying the process of setting up and managing instances.
DevOps

Azure

Microsoft's cloud computing platform providing a wide range of services for building, testing, deploying, and managing applications.
DevOps

Back-end

Server-side of a website or application, responsible for data storage, security, and business logic.
DevOps

Backup

Copy of data created to protect against loss or damage, often stored separately from the original for recovery purposes.
DevOps

Bad/Threat Actor

Individual or entity that attempts to exploit vulnerabilities in systems or networks for malicious purposes.
DevOps

Baklava code

Term describing code that has too many layers, making it overly complex and difficult to understand or maintain.
DevOps

Bamboo

Continuous integration and deployment server by Atlassian, automating the building, testing, and deployment of software.
DevOps

Bare-metal

Physical computer server dedicated to a single tenant, not virtualized or shared among multiple users.
DevOps

Barkeep

Open-source web-based code review system that facilitates collaborative code reviews and discussions.
DevOps

Bash

Unix shell and command language, widely used for scripting and automating tasks in Unix-like operating systems.
DevOps

Bastion host

Specially designed system on a network specifically intended to withstand attacks, usually placed at the edge of a network.
DevOps

Bazel

Open-source build and test tool that enables fast, reproducible builds across multiple platforms and languages.
DevOps

Beats

Lightweight data shippers for various types of data, part of the Elastic Stack for log and metrics collection.
DevOps

Behavior-Driven Development (BDD)

Software development approach that focuses on defining the behavior of an application based on user stories.
DevOps
stash entry

stash entry

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

status checks

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

subscription

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

superproject

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

symref

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

tag object

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

team

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

team maintainer

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

timeline

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

topic branch

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

topics

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

traffic graph

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

transfer

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

tree

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

tree object

A Git object that stores the hierarchy of files and directories in a repository at a specific point in time.
tree-ish (also treeish)

tree-ish (also treeish)

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

unborn

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

unmerged index

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

unreachable object

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

upstream branch

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

user

An individual account on a Git platform, associated with personal repositories and contributions.
user-to-server request

user-to-server request

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

username

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

visible team

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

watch

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

watching notifications

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

web notifications

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

working area

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

working tree

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

worktree

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

write access

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

Progressive Delivery

Technique for gradually rolling out new features to subsets of users in cloud applications.

Pub/Sub Messaging

Asynchronous communication pattern for decoupled microservices in cloud architectures.

Pulumi

Infrastructure-as-Code tool for deploying and managing cloud resources using programming languages.

Quantum Annealing

Quantum computing technique for solving optimization problems in cloud environments.

Quantum Circuit Simulation

Cloud-based emulation of quantum circuits for algorithm development and testing.

Quantum Cloud API

Interface for accessing and controlling quantum computing resources in the cloud.

Quantum Computing as a Service

Cloud-based platforms offering access to quantum computing resources and algorithms.

Quantum Databases

Experimental database systems leveraging quantum principles for enhanced performance in the cloud.

Quantum Error Correction

Techniques for mitigating errors in quantum computations performed in cloud environments.

Quantum Internet Services

Experimental cloud services utilizing quantum communication for enhanced security and speed.

Quantum Key Distribution

Secure communication method using quantum mechanics principles in cloud environments.

Quantum Key Distribution (QKD) Networks

Infrastructure for ultra-secure data transmission using quantum principles in cloud systems.

Quantum Key Distribution Networks

Systems for ultra-secure data transmission using quantum mechanics in cloud environments.

Quantum Machine Learning

Applying quantum computing techniques to machine learning tasks in cloud environments.

Quantum Machine Learning Services

Cloud-based platforms offering quantum-enhanced machine learning algorithms and resources.

Quantum Optimization

Using quantum computing to solve complex optimization problems in cloud environments.

Quantum Programming Frameworks

Tools and libraries for developing quantum algorithms in cloud computing environments.

Quantum Resource Estimation

Assessing quantum computational requirements for algorithms in cloud environments.

Quantum Software Development Kit (SDK)

Tools for creating and testing quantum algorithms in cloud computing platforms, enabling quantum application development.

Quantum Supremacy

Demonstrating quantum computers' ability to outperform classical computers in specific tasks.

Quantum Volume

Metric for measuring the capability and performance of quantum computing systems in the cloud.

Quantum as a Service (QaaS)

Cloud-based access to quantum computing resources and algorithms, enabling exploration of quantum applications.

Quantum-Classical Hybrid Algorithms

Algorithms combining quantum and classical computing techniques for enhanced problem-solving in the cloud.

Quantum-Inspired Algorithms

Classical algorithms that emulate quantum computing concepts to solve problems efficiently in the cloud.

Quantum-Inspired Annealing

Optimization technique inspired by quantum annealing, used for complex problems in cloud computing.

Quantum-Inspired Anomaly Detection

Algorithms based on quantum concepts for identifying unusual patterns in cloud data.

Quantum-Inspired Cryptography

Encryption methods inspired by quantum principles, designed for use in classical cloud systems.

Quantum-Inspired Data Encoding

Techniques for data representation inspired by quantum states, used in classical cloud computing.

Quantum-Inspired Evolutionary Algorithms

Optimization methods combining evolutionary principles with quantum concepts in cloud environments.

Quantum-Inspired Feature Maps

Data transformation techniques based on quantum principles for machine learning in the cloud.

Quantum-Inspired Financial Modeling

Applying quantum-like algorithms to financial analysis and prediction in cloud environments.

Quantum-Inspired Generative Models

AI models for data generation based on quantum computing principles, used in classical cloud systems.

Quantum-Inspired Machine Learning

Classical ML algorithms incorporating quantum computing concepts for improved performance in the cloud.

Quantum-Inspired Natural Language Processing

NLP techniques leveraging quantum computing principles in classical cloud environments.

Quantum-Inspired Neural Networks

AI models mimicking both neural and quantum systems for enhanced learning in cloud computing.

Quantum-Inspired Optimization Algorithms

Classical algorithms using quantum-like approaches for solving complex optimization problems in the cloud.

Quantum-Inspired Reinforcement Learning

RL techniques incorporating quantum principles for improved decision-making in cloud environments.

Quantum-Inspired Sampling

Data sampling methods based on quantum principles, used in classical cloud computing tasks.

Quantum-Inspired Tensor Networks

Data structures and algorithms inspired by quantum tensor networks, used in classical cloud computing.

Quantum-Resistant Cryptography

Encryption methods designed to withstand attacks from future quantum computers in cloud systems.

Quantum-Resistant Databases

Database systems designed to maintain security against potential quantum computer attacks in the cloud.

Quantum-Resistant Hardware Security Modules

Cloud-based HSMs designed to resist attacks from both classical and quantum computers, ensuring long-term data protection.

Quantum-Safe Cryptography

Encryption techniques designed to be secure against both quantum and classical attacks in cloud environments.

Quantum-inspired AI Algorithms

Classical algorithms mimicking quantum principles to improve AI performance in cloud environments.

Query Optimization

Techniques for improving the efficiency and speed of database queries in cloud environments.

RI Utilization and Coverage

Metrics for assessing the usage and financial impact of Reserved Instances in cloud environments.

Re-platforming

Process of moving applications to a new cloud platform, often involving some code modifications.

Reactive Programming in the Cloud

Development paradigm for building responsive, resilient applications in cloud environments.

Read Replica

Copy of a database that allows read-only queries, improving performance and scalability in cloud environments.

Read Replicas

Multiple copies of a database for distributing read operations, enhancing performance in cloud systems.

Real-Time Analytics

Instantaneous processing and analysis of data as it's generated in cloud environments.

Real-Time Analytics Pipelines

Systems for continuous data processing and analysis in cloud environments with minimal latency.

Real-Time Data Harmonization

Process of standardizing diverse data formats in real-time within cloud environments.

Real-Time Data Synchronization

Ensuring immediate consistency of data across multiple cloud systems or locations.

Real-time Business Activity Monitoring

Continuous tracking and analysis of business processes in cloud-based systems, enabling rapid decision-making.

Real-time Data Integration

Combining data from multiple sources instantly in cloud-based systems, enabling up-to-date analytics and decision-making.

Real-time Regulatory Reporting

Instantaneous generation and submission of compliance reports in cloud environments.

Recommendation Systems

AI-driven tools suggesting items or actions to users based on data analysis in the cloud.

Regulatory Reporting

Generation and submission of compliance-related reports using cloud-based tools and data.

Regulatory Technology (RegTech) as a Service

Cloud-based solutions for managing regulatory compliance and reporting, streamlining governance processes.

Reinforcement Learning

AI technique where agents learn optimal behaviors through trial and error in cloud environments.

Reinforcement Learning Environments

Simulated or real-world scenarios for training AI agents in cloud-based systems.

Relational Database Service (e.g., Amazon RDS, Azure SQL Database)

Managed cloud service for deploying, operating, and scaling relational databases.

Renewable Energy Credits (RECs)

Certificates representing clean energy used to power cloud data centers, promoting sustainable cloud operations.

Renewable Energy Credits (RECs) Management

Tracking and optimizing the use of clean energy certificates in cloud operations.

Reproducible Research Platforms

Cloud-based environments ensuring scientific experiments can be replicated precisely.

Reserved Capacity Management

Optimizing the use of pre-purchased cloud resources to maximize cost savings and ensure resource availability.

Reserved Instance Management

Administering pre-purchased cloud instances to optimize costs and resource allocation.

Reserved Instance Planning

Strategizing the purchase of discounted cloud instances for long-term use to reduce costs.

Reserved Instances

Pre-purchased cloud compute capacity offered at a discount for a committed term.

Resource Graph

Visual representation of cloud resources and their relationships for better management and insight.

Resource Organization

Structuring and categorizing cloud resources for efficient management and access control.

Resource Quotas and Limits

Restrictions on the amount or type of cloud resources that can be consumed by a user or account.

Resource Tagging

Assigning metadata to cloud resources for better organization, management, and cost allocation.

Resource Tagging for Billing

Using metadata tags to track and allocate cloud costs across different projects or departments.

Retention Policies

Rules determining how long data is kept in cloud storage before being deleted or archived.

Right to be Forgotten

Data privacy principle allowing individuals to request deletion of their personal data from cloud systems.

Rightsizing

Adjusting cloud resource allocations to match actual usage, optimizing performance and cost.

Robot Fleet Management

Cloud-based systems for coordinating and monitoring multiple robots in industrial or commercial settings.

Robot as a Service (RaaS)

Cloud-based platform for remotely operating and managing robotic systems, enabling scalable robotics applications.

Robotic Process Automation (RPA) in the Cloud

Using cloud-based software robots to automate repetitive tasks and workflows, improving efficiency and accuracy.

Robotic Teleoperation via Cloud

Controlling robots remotely using cloud infrastructure for communication and processing.

Root Cause Analysis Automation

AI-driven tools for identifying the source of issues in cloud systems, speeding up troubleshooting and resolution.

Route Table

Configuration defining network traffic paths between subnets and gateways in cloud environments.

Runtime Application Self-Protection (RASP)

Security technology that detects and prevents attacks on cloud applications in real-time.

SOC 2 Compliance

Adherence to security and privacy standards for cloud service providers handling customer data.

SSL/TLS Certificates

Digital certificates ensuring secure, encrypted connections to cloud services and applications.

Savings Plans

Flexible pricing model offering lower prices on cloud compute usage in exchange for a commitment.

Secrets Management

Tools for securely storing, accessing, and managing sensitive information in cloud environments.

Secure Multi-Party Computation (SMPC) Platforms

Cloud services enabling collaborative computation while keeping individual inputs private.

Security Chaos Engineering

Proactively testing cloud system resilience by simulating security incidents and failures.

Security Group

Virtual firewall for controlling inbound and outbound traffic to cloud resources.

Security Groups

Virtual firewalls controlling inbound and outbound traffic for cloud instances within defined security rules.

Security Orchestration, Automation and Response (SOAR)

Platforms integrating security tools and automating incident response in the cloud.

Self-Driving Databases

Cloud databases using AI to automate administration, optimization, and security tasks.

Self-Service Analytics

Tools allowing non-technical users to perform data analysis in cloud environments without IT assistance.

Semantic Interoperability Frameworks

Standards enabling meaningful data exchange between different cloud systems and services.

Serverless AI

AI services that automatically scale and manage underlying infrastructure in cloud environments.

Serverless Application Model (SAM)

Framework for building and deploying serverless applications in cloud environments.

Serverless Computing (e.g., AWS Lambda, Azure Functions)

Cloud execution model where providers manage infrastructure, automatically scaling resources as needed.

Ceph RadosGW

Object storage gateway for Ceph, providing S3-compatible API for container storage needs in Kubernetes.

Cgroup (Control Group)

Linux kernel feature for limiting, prioritizing, and isolating resource usage of container groups.

Change Data Capture (CDC)

Technique for tracking and capturing changes in databases, useful in microservices architectures.

Chaos Engineering in CI/CD

Practice of intentionally injecting failures in CI/CD pipelines to improve system resilience.

Chaos Mesh for Reliability Testing

Platform for simulating various abnormal scenarios in Kubernetes environments to test reliability.

Checkov for IaC Security Scanning

Static code analysis tool for detecting misconfigurations in Infrastructure as Code deployments.

Cilium

Open-source networking, observability, and security solution for container workloads based on eBPF.

Cilium Service Mesh

eBPF-powered service mesh offering high-performance traffic management and security for microservices.

Cilium's Hubble for Network Observability

Observability platform for Kubernetes providing deep visibility into container network flows.

Cilium's eBPF Datapath

High-performance networking mode in Cilium using extended Berkeley Packet Filter for packet processing and security.

CircleCI

Continuous integration and delivery platform supporting containerized application testing and deployment.

Circuit Breaker Pattern

Fault tolerance pattern preventing cascading failures in distributed containerized systems.

Circuit Breaking

Technique to detect failures and prevent system overload in microservices architectures, enhancing resilience.

Claim Check Pattern for Large Messages

Design pattern for handling large payloads in microservices by storing data externally, improving efficiency.

Clair for Static Image Analysis

Open-source tool for static analysis of vulnerabilities in container images, enhancing security.

Cloud Controller Manager

Kubernetes component managing interactions between cluster and cloud provider APIs, enabling cloud integration.

Cloud Native Application Bundle (CNAB)

Specification for packaging and managing distributed applications across different environments.

Cloud-Native Buildpacks

Tooling for building container images from source code without Dockerfiles, adhering to best practices.

Cloud-Native Design Patterns

Architectural patterns specifically tailored for distributed, containerized applications in cloud environments.

CloudEvents

Specification for describing event data in common formats, facilitating event-driven architectures in cloud environments.

CloudEvents Specification

Isolation technique in containerized microservices to prevent failure propagation across the system.

Cluster

Group of servers or other resources that work together as a single system to provide high availability.

Cluster API

Kubernetes project for declarative management and provisioning of clusters using Kubernetes-style APIs.

Cluster API Provider

Implementation of Cluster API for specific infrastructure providers, enabling cluster lifecycle management.

Cluster Autoscaler

Kubernetes component that automatically adjusts the size of a cluster based on resource demands.

Cluster Capacity Planning

Process of estimating and allocating resources needed for container workloads in a cluster.

Cluster Federation

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

Cluster Mesh

Interconnected network of container clusters, enabling cross-cluster communication and resource sharing.

Cluster Networking

Network configuration and management within and between container clusters, enabling inter-container communication.

Cluster Upgrade Process

Procedure for updating the Kubernetes version and components of a cluster while minimizing disruptions.

Cluster-level Logging

Centralized logging solution capturing logs from all containers and nodes in a cluster, aiding in troubleshooting.

ClusterAutoscaler

Kubernetes component that automatically adjusts the number of nodes in a cluster based on resource utilization.

ClusterIP

Kubernetes service type that exposes the service on an internal IP within the cluster, facilitating internal communication.

ClusterIP Services

Kubernetes services accessible only within the cluster, used for internal communication between pods.

ClusterRole

Kubernetes RBAC resource defining permissions across an entire cluster, not limited to a single namespace.

ClusterRoleBinding

Kubernetes RBAC resource that binds a ClusterRole to users, groups, or service accounts across all namespaces.

ClusterServiceVersion (CSV)

Custom resource in Operator Lifecycle Manager describing a specific version of an Operator.

Codefresh GitOps

GitOps platform for managing and automating containerized application deployments, streamlining CD workflows.

Cold Start Optimization

Techniques to reduce initialization time of containers, particularly important in serverless environments.

Compensating Transaction Pattern

Design pattern for handling failures in distributed container-based systems by reversing or compensating actions.

ConfigMap

Kubernetes API object used to store non-confidential data in key-value pairs, accessible by pods.

Consul Connect

Service mesh feature of Consul providing secure service-to-service communication with automatic TLS encryption.

Container

Standardized unit of software that packages code and all its dependencies for quick, reliable deployment.

Container Breakout Techniques

Methods used by attackers to escape container isolation and access the host system, posing security risks.

Container Engine

Software responsible for managing container lifecycle, including creation, execution, and destruction.

Container Escape

Security vulnerability allowing a process to break out of container isolation and access the host system.

Container Escape Prevention

Security measures and best practices to prevent containers from breaking out of their isolation.

Container Escape Vulnerabilities

Weaknesses in container runtimes or configurations that could allow processes to escape isolation.

Container Health Checks

Mechanisms to verify the health and readiness of containerized applications, ensuring service availability.

Container Host

Physical or virtual machine running the container runtime and hosting containers, providing the execution environment.

Container Image Promotion

Process of moving container images through different environments (e.g., dev, test, prod) in a controlled manner.

Container Image Signing

Cryptographic process of digitally signing container images to ensure their integrity and authenticity during distribution.

Container Lifecycle

Stages a container goes through from creation to termination, including running, paused, and stopped states.

Container Lifecycle Management

Processes and tools for managing containers throughout their lifecycle, from creation to deletion.

Container Logging

Process of capturing and managing log output from containerized applications for monitoring and troubleshooting.

Container Manifest

Configuration file specifying how to build a container image, including base image, commands, and environment setup.

Container Metrics

Quantitative measures of container performance, resource usage, and health, used for monitoring and optimization.

Container Network Interface (CNI)

Specification and libraries for configuring network interfaces in Linux containers, standardizing networking.

Container Network Interface (CNI) Spec

Standard for developing plugins to configure network interfaces in Linux containers, ensuring interoperability.

Container Networking Model

Architecture and principles governing how containers communicate within and across hosts in orchestrated environments.

Container Orchestration

Automated arrangement, coordination, and management of software containers, crucial in large-scale deployments.

Container Probes (Liveness, Readiness, Startup)

Kubernetes mechanisms (liveness, readiness, startup) for checking container health and controlling lifecycle.

Container Real User Monitoring (RUM)

Technique for capturing and analyzing real user interactions with containerized applications.

Container Restart Policies

Rules defining how containers should be restarted in case of failures or exits, enhancing application resilience.

Container Runtime

Software responsible for running containers, managing their lifecycle from creation to deletion.

Container Runtime Security

Measures and tools to protect containers during execution, preventing unauthorized access or malicious activities.

Container Shims

Lightweight processes that manage the lifecycle of containers and provide abstraction between runtimes.

Container Storage Interface (CSI)

Standardized interface for container orchestration platforms to interact with storage systems.

Container Storage Interface (CSI) Spec

Standard for developing storage plugins for container orchestration platforms, enabling storage extensibility.

Container Vulnerability Scanning

Process of identifying security vulnerabilities in container images and their dependencies.

Content Trust

Mechanism for verifying the integrity and authenticity of container images before deployment.

Continuous Deployment

Automated process of releasing container images to production environments after passing tests.

Continuous Verification

Ongoing process of validating deployed containers against defined policies and expectations.

Contiv-VPP for High-performance Networking

Container networking solution using VPP (Vector Packet Processing) for optimized performance.

Contract-First API Development

Approach prioritizing API definition before implementation, crucial for microservices architecture.

Control Groups (cgroups)

Linux kernel feature for limiting, prioritizing, and isolating resource usage of container groups.

Control Plane

Components managing the overall state of a container cluster, including API server, scheduler, and controllers.

Control Plane Upgrade

Process of updating the core components of a container orchestration system while maintaining cluster stability.

Controller Manager

Kubernetes component running controller processes to regulate the state of the cluster, maintaining desired state.

Controller Runtime

Software framework for building Kubernetes controllers and operators, simplifying custom resource management.

Conversion Webhooks

Kubernetes feature allowing custom resource API version conversions via external webhooks.

Copy-on-Write (CoW)

Storage optimization technique used in container filesystems to reduce duplication and improve efficiency.

Cordon

Process of marking a node as unschedulable in Kubernetes, preventing new pods from being assigned to it.

CoreDNS

Flexible, extensible DNS server used for service discovery in Kubernetes clusters, replacing kube-dns.

Cortex

Horizontally scalable, multi-tenant, long-term storage for Prometheus metrics, enhancing monitoring capabilities.

Cortex for Multi-tenant Prometheus

Use of Cortex to provide isolated Prometheus monitoring for multiple users or teams in shared environments.

CronJob

Kubernetes object for creating time-based jobs, running containers on a schedule for automated tasks.

CronJob Patterns

Kubernetes patterns for running batch processes and scheduled tasks in containerized environments.

Cross-namespace Operators

Kubernetes operators capable of managing resources across multiple namespaces, enabling broader automation.

Custom Metrics API

Kubernetes API extension allowing pods to consume custom metrics for autoscaling and monitoring.

Custom Resource

Extension of the Kubernetes API that defines new, custom resource types specific to a cluster's needs.

Custom Resource Conversion

Process of converting custom resources between different API versions in Kubernetes, enabling API evolution.

Custom Resource Definition (CRD)

Kubernetes API extension allowing the definition of custom resources, enabling cluster customization.

Custom Resource Definitions (CRDs)

Kubernetes feature for extending the API with custom resources, enabling cluster customization.

Custom Resources

User-defined API objects in Kubernetes, extending the core functionality of the platform for specific use cases.

Custom Scheduler

Alternative or additional scheduler implementation for Kubernetes, allowing custom pod placement logic.

Custom Schedulers

Alternative scheduling implementations in Kubernetes for custom pod placement strategies, enabling specialized scheduling logic.

DNS for Services and Pods

Kubernetes feature providing DNS-based service discovery for containers within the cluster.

DPDK in Container Networks

Use of Data Plane Development Kit for high-performance packet processing in container networks.

DaemonSet

Kubernetes object ensuring that all (or some) nodes run a copy of a specific pod, useful for cluster-wide services.