Here are some standard terms and definitions related to cloud computing:

  • Cloud Adoption: The process of moving an organization’s IT infrastructure, applications, and data to the cloud.
  • Cloud Automation: The use of software to manage and provision resources in a cloud environment.
  • Cloud Backup: Creating a copy of data stored on a cloud server as a precaution in case of data loss.
  • Cloud Broker: A service or platform that helps organizations manage their cloud services, including finding the right providers, negotiating contracts, and managing costs.
  • Cloud bursting: A technique that allows an organization to temporarily increase its computing capacity by renting resources from a public cloud provider when the organization’s own resources become overwhelmed.
  • Cloud Compliance: Ensuring that cloud-based resources and services comply with relevant laws, regulations, and industry standards.
  • Cloud computing: The delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
  • Cloud Consumer: An individual or organization that uses cloud services.
  • Cloud Cost Management: The process of managing and optimizing the costs of cloud services.
  • Cloud disaster recovery: Plan and services for restoring data and systems in the event of a disaster.
  • Cloud Elasticity: The ability of a cloud system to automatically adjust its capacity based on the current usage.
  • Cloud Enablement: The process of enabling an organization’s IT infrastructure, applications, and data to work in a cloud environment.
  • Cloud Federation: A technique that allows an organization to use multiple clouds as if they were one, giving them the ability to move workloads between different clouds.
  • Cloud Governance: The management and oversight of cloud resources and services to ensure compliance with organizational policies and regulations.
  • Cloud Identity and Access Management (IAM): The management of user identities and access to cloud resources.
  • Cloud Management: The process of managing and maintaining cloud-based resources and services, including provisioning, monitoring, scaling, and troubleshooting.
  • Cloud Migration: The process of moving data, applications, or other business elements from an organization’s on-premises infrastructure to the cloud.
  • Cloud Monitoring: The process of monitoring and analyzing cloud-based resources and services to ensure they are performing as expected.
  • Cloud Native Security: The practice of securing cloud-native applications and services, typically using techniques such as encryption, authentication, and identity management.
  • Cloud Native: A term used to describe applications and services that are specifically designed to run in a cloud environment.
  • Cloud optimization: The practice of identifying and implementing ways to improve the performance, cost, and scalability of cloud services.
  • Cloud Portability: The ability to move data, applications, or other resources between different cloud providers or environments.
  • Cloud Provider: A company that offers cloud services, such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
  • Cloud Scalability: The ability of a cloud system to increase or decrease its capacity in response to changes in demand.
  • Cloud Security: Measures taken to protect data and systems in a cloud environment.
  • Cloud Service Level Agreement (SLA): A contract between a cloud service provider and a customer that outlines the level of service to be provided.
  • Cloud storage: Storing data on a remote server accessed via the internet, rather than on a local hard drive. Examples include Amazon Simple Storage Service (S3), Microsoft Azure Storage, and Google Cloud Storage.
  • Cloud-based Analytics: The practice of using cloud-based resources and services to process and analyze data.
  • Cloud-based API Management: The practice of creating, publishing, and managing APIs in a cloud environment.
  • Cloud-based Artificial Intelligence: The practice of using cloud-based resources and services to create and run artificial intelligence and machine learning applications.
  • Cloud-based automation: The use of cloud-based resources and services to automate IT processes such as provisioning, scaling, and monitoring.
  • Cloud-based Backup as a Service (BaaS): A model of cloud computing that allows businesses to backup their data to the cloud.
  • Cloud-based Backup: A strategy for creating a copy of data stored on a cloud server as a precaution against data loss.
  • Cloud-based Blockchain: The use of cloud-based resources and services to create and manage distributed ledger systems for secure and transparent record-keeping.
  • Cloud-based Business Process as a Service (BPaaS): A model of cloud computing that allows businesses to access and manage business processes in the cloud.
  • Cloud-based Capacity Management: The practice of managing and monitoring the capacity of cloud-based resources and services to ensure they meet the demands of the organization.
  • Cloud-based Cloud-Native Analytics Gateway (CAG): The practice of using a cloud-based gateway to analyze and visualize cloud-native applications and services.
  • Cloud-based Cloud-Native Analytics Platform (CAP): The practice of using a cloud-based platform to analyze and visualize cloud-native applications and services.
  • Cloud-based Cloud-Native Analytics: The practice of analyzing cloud-native applications and services using cloud-based resources and technologies.
  • Cloud-based Cloud-Native Automation Gateway (CAG): The practice of using a cloud-based gateway to automate cloud-native applications and services.
  • Cloud-based Cloud-Native Automation Platform (CAP): The practice of using a cloud-based platform to automate cloud-native applications and services.
  • Cloud-based Cloud-Native Automation: The practice of automating cloud-native applications and services using cloud-based resources and technologies.
  • Cloud-based Cloud-Native Development Gateway (CDG): The practice of using a cloud-based gateway to develop and deploy cloud-native applications and services.
  • Cloud-based Cloud-Native Development Platform (CDP): The practice of using a cloud-based platform to develop and deploy cloud-native applications and services.
  • Cloud-based Cloud-Native Development: The practice of developing cloud-native applications and services using cloud-based resources and technologies.
  • Cloud-based Cloud-Native Governance Gateway (CGG): The practice of using a cloud-based gateway to manage and govern cloud-native applications and services.
  • Cloud-based Cloud-Native Governance Platform (CGP): The practice of using a cloud-based platform to manage and govern cloud-native applications and services.
  • Cloud-based Cloud-Native Governance: The practice of managing and governing cloud-native applications and services using cloud-based resources and technologies.
  • Cloud-based Cloud-Native Integration Gateway (CIG): The practice of using a cloud-based gateway to integrate and manage cloud-native applications and services.
  • Cloud-based Cloud-Native Integration Platform (CIP): The practice of using a cloud-based platform to integrate and manage cloud-native applications and services.
  • Cloud-based Cloud-Native Integration: The practice of integrating cloud-native applications and services using cloud-based resources and technologies.
  • Cloud-based Cloud-Native Management Gateway (CMG): The practice of using a cloud-based gateway to manage and govern the life-cycle of cloud-native applications and services.
  • Cloud-based Cloud-Native Management Platform (CMP): The practice of using a cloud-based platform to manage and govern the life-cycle of cloud-native applications and services.
  • Cloud-based Cloud-Native Monitoring Gateway (CMG): The practice of using a cloud-based gateway to monitor and analyze cloud-native applications and services.
  • Cloud-based Cloud-Native Monitoring Platform (CMP): The practice of using a cloud-based platform to monitor and analyze cloud-native applications and services.
  • Cloud-based Cloud-Native Monitoring: The practice of monitoring and analyzing cloud-native applications and services using cloud-based resources and technologies.
  • Cloud-based Cloud-Native Operations Gateway (COG): The practice of using a cloud-based gateway to manage and operate cloud-native applications and services.
  • Cloud-based Cloud-Native Operations Platform (COP): The practice of using a cloud-based platform to manage and operate cloud-native applications and services.
  • Cloud-based Cloud-Native Operations: The practice of managing and operating cloud-native applications and services using cloud-based resources and technologies.
  • Cloud-based Cloud-Native Security Gateway (CSG): The practice of using a cloud-based gateway to secure and protect cloud-native applications and services.
  • Cloud-based Cloud-Native Security Platform (CSP): The practice of using a cloud-based platform to secure and protect cloud-native applications and services.
  • Cloud-based Cloud-Native Security: The practice of securing cloud-native applications and services using cloud-based resources and technologies.
  • Cloud-based Cloud-Native Testing Gateway (CTG): The practice of using a cloud-based gateway to test cloud-native applications and services.
  • Cloud-based Cloud-Native Testing Platform (CTP): The practice of using a cloud-based platform to test cloud-native applications and services.
  • Cloud-based Cloud-Native Testing: The practice of testing cloud-native applications and services using cloud-based resources and technologies.
  • Cloud-based Compliance Management: The practice of ensuring that cloud-based services and resources comply with relevant laws, regulations, and industry standards.
  • Cloud-based Containerization: The practice of using cloud-based resources and services to package and deploy applications in containers, allowing for easier scaling and management.
  • Cloud-based Content Delivery Network (CDN): A network of servers that are distributed across the globe to deliver content to users with high availability and low latency.
  • Cloud-based Continuous Integration and Continuous Deployment (CI/CD): The practice of automating the process of building, testing, and deploying code in a cloud environment.
  • Cloud-based Cost Optimization: The practice of identifying and implementing ways to reduce the cost of cloud-based services while maintaining or improving performance.
  • Cloud-based DaaS (Desktop as a Service): A model of cloud computing that allows users to access a virtual desktop from any device with an internet connection.
  • Cloud-based Database as a Service (DBaaS): A model of cloud computing that allows businesses to access and manage databases in the cloud.
  • Cloud-based Databases: The practice of using cloud-based resources and services to create and manage databases.
  • Cloud-based DevOps: The practice of using cloud-based resources and services to support software development and operations, including continuous integration, continuous delivery, and infrastructure as code.
  • Cloud-based Disaster Recovery: A strategy for restoring data and systems in the event of a disaster, utilizing cloud-based services and resources.
  • Cloud-based Edge Computing: A model of cloud computing that brings data storage and processing capabilities closer to the source of the data, rather than relying on a central location.
  • Cloud-based Event-driven computing: A model of cloud computing that allows developers to build and run applications and services that respond to events in real-time.
  • Cloud-based Function as a Service (FaaS): A type of serverless computing that allows developers to run code without provisioning or managing servers.
  • Cloud-based Identity and Access Management (IAM): The practice of managing user identities and access to cloud-based resources and services.
  • Cloud-based Identity Management: The practice of managing user identities and access to cloud-based resources and services.
  • Cloud-based Infrastructure Automation: The use of cloud-based resources and services to automate the deployment and management of IT infrastructure.
  • Cloud-based Internet of Things (IoT): The practice of using cloud-based resources and services to connect and manage devices, sensors, and other IoT-enabled systems.
  • Cloud-based Load Balancing: The practice of distributing workloads across multiple cloud-based servers in order to improve performance and reliability.
  • Cloud-based Managed Services: The practice of outsourcing the management of specific IT functions to a third-party service provider.
  • Cloud-based Microservices: A model of cloud computing that allows developers to build and run applications as a collection of small, independent services.
  • Cloud-based Mobile Backend as a Service (MBaaS): A model of cloud computing that allows developers to create and manage the backend of mobile applications.
  • Cloud-based Multi-cloud: Using multiple cloud providers for different workloads or applications.
  • Cloud-based Networking: The practice of using cloud-based resources and services to create and manage networks.
  • Cloud-based PaaS (Process as a Service): A model of cloud computing that allows users to access a virtual process from any device with an internet connection.
  • Cloud-based Performance Management: The practice of monitoring and analyzing the performance of cloud-based resources and services to ensure they meet the desired performance levels.
  • Cloud-based Security Operations: The practice of securing and protecting cloud-based resources and services from cyber threats.
  • Cloud-based Self-service: The ability for users to provision and manage their own cloud-based resources and services.
  • Cloud-based Serverless computing: A model of cloud computing that allows developers to build and run applications and services without having to manage infrastructure.
  • Cloud-based Service Catalog: A catalog of cloud-based services that are available to an organization, including their cost, performance, and compliance information.
  • Cloud-based Service Governance: The practice of managing and governing the use of cloud-based services within an organization to ensure compliance with policies and regulations.
  • Cloud-based Service Level Management: The practice of managing and monitoring the performance and availability of cloud-based services to ensure they meet the agreed-upon service levels.
  • Cloud-based Storage as a Service (STaaS): A model of cloud computing that allows businesses to store their data in the cloud.
  • Cloud-based Workload Automation: The use of cloud-based resources and services to automate and manage workloads for improved efficiency and scalability.
  • Cloud-based Workload Management: The practice of managing and monitoring workloads running in a cloud environment to ensure optimal performance and cost-effectiveness.
  • Cloud-Native Application: An application that is designed to run in a cloud environment, typically using microservices and containers.
  • Cloud-Native Development: The practice of developing applications specifically for a cloud environment, using cloud-native technologies such as containers and microservices.
  • Cloud-Native Operations: The practice of managing and operating cloud-native applications, typically using DevOps and automation tools.
  • Edge Computing: A type of computing that brings data storage and processing capabilities closer to the source of the data, rather than relying on a central location.
  • Hybrid Cloud: A hybrid cloud is a combination of both public and private clouds, allowing organizations to use the best features of both types of clouds.
  • Infrastructure as a Service (IaaS): A type of cloud computing that provides virtualized computing resources over the internet. Examples include Amazon Elastic Compute Cloud (EC2), Microsoft Azure, and Google Cloud Compute Engine.
  • Multi-Cloud: Using multiple cloud providers for different workloads or applications.
  • Platform as a Service (PaaS): A type of cloud computing that provides a platform for the development, running, and management of applications. Examples include Heroku, AWS Elastic Beanstalk, and Google App Engine.
  • Private Cloud: Private cloud services are provided over a private network and are typically only available to a specific organization. Examples include OpenStack, VMWare vCloud, and Microsoft Azure Stack.
  • Public Cloud: Public cloud services are provided over the internet and are available to the general public. Examples include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
  • Ron Legarski: Cloud Computing Expert and Telecommunications Consultant.
  • Software as a Service (SaaS): Cloud computing that provides access to software applications over the internet. Examples include Salesforce, Microsoft Office 365, and Google Workspace.

This is a list of many of the key terms used in the field of cloud computing, but there may be other terms used depending on the specific context and use case or industries.