Cloud Glossary
Understand the technologies that power your business.
Browse definitions, explore relationships, and deepen your knowledge with OChK’s knowledge base.
Data: 153 terms
Cloud Glossary
Understand the technologies that power your business.
Browse definitions, explore relationships, and deepen your knowledge with OChK’s knowledge base.
Found: 153
3-2-1 Rule
The 3-2-1 rule is an industry-standard backup strategy aimed at minimizing the risk of data loss by ensuring its permanent availability and resilience to almost every possible failure event (e.g., hardware failure, human error, natural disaster, ransomware). This rule requires that an organization has at least 3 copies of data (original data + 2 copies), stored on at least 2 different media or technologies (e.g., local disk and tapes), with 1 copy located off-site, e.g., in the cloud or in an external data center.
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24/7 Operational Monitoring
24/7 operational monitoring is the constant, uninterrupted tracking of critical parameters of infrastructure, applications, and business processes (e.g., availability, performance, security) around the clock, seven days a week. The goal is the immediate detection of failures or deviations from the norm, the generation of alerts, and the rapid initiation of corrective actions, which is essential for meeting SLA (Service Level Agreement) requirements and ensuring business continuity.
Adaptive Access Control
Adaptive access control is a security mechanism that not only verifies the user's identity during login but also assesses the risk level associated with each access attempt in real time. This assessment is based on contextual analysis, considering factors such as: geographical location, the device used, time of day, user behavioral patterns, and the sensitivity of the resource. Based on this, the system can dynamically adjust authentication requirements, for example, enforcing Multi-Factor Authentication (MFA) only when elevated risk is detected.
Agent Frameworks
Agent frameworks (such as LangChain or LlamaIndex) are a set of libraries, modules, and programming tools that facilitate building complex applications based on Large Language Models (LLMs). They enable connecting LLMs with external data sources (using RAG techniques, i.e., Retrieval-Augmented Generation) and with tools (e.g., search engines, calculators, or APIs) in a way that creates autonomous AI agents. These frameworks manage the entire application logic, including planning, operation sequencing, and agent memory, allowing for the creation of more advanced and contextual interactions than just direct model invocation.
AI Act
The AI Act is the world's first comprehensive EU regulation that establishes a harmonized legal framework for the development, deployment, and use of Artificial Intelligence systems. It introduces a risk classification (from unacceptable to minimal) and imposes strict requirements on high-risk AI systems to ensure their safety, ethics, and compliance with human rights.
AI Agent
An AI Agent is a software system characterized by autonomy and the ability to perceive its environment. It uses artificial intelligence algorithms to process information, draw inferences, and then independently plans and executes sequences of actions (actions) within that environment to achieve a predetermined goal. AI Agents are a fundamental architectural layer in Cloud for AI, a solution developed by OChK experts, which allows for the responsible construction of AI infrastructure.
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AI Multimodality
Multimodality in the context of AI is the ability of a model to simultaneously process and understand information coming from multiple different data types (modalities), such as text, images, sound, video, and sensory data. Multimodal models are capable of establishing complex relationships and context between these different forms, enabling them to perform advanced tasks, such as describing the content of an image with text (image-to-caption) or generating video based on a text description.
AKS
AKS (Azure Kubernetes Service) is a fully managed PaaS (Platform as a Service) service offered by Microsoft Azure that allows users to easily deploy, scale, and manage Kubernetes clusters without having to take control of the management of the control plane. AKS automates the maintenance, patching, scaling, and repair of Kubernetes components, which minimizes operational overhead (MLOps, DevOps) and allows development teams to focus solely on building and deploying containerized applications.
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Anthos
Anthos is a hybrid and multicloud application platform offered by Google Cloud that enables clients to build, deploy, and manage containerized applications (Kubernetes) in a unified and consistent manner, regardless of where they run—whether in Google Cloud, other public clouds (e.g., AWS, Azure), or on-premises data centers. The main goal of Anthos is to ensure operational consistency, security management, and facilitate the creation of multicloud and hybrid environments, relying on Kubernetes technology.
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App Engine
App Engine is a PaaS (Platform as a Service) service offered by Google Cloud Platform, designed for the rapid creation and hosting of scalable web applications and mobile backends. It is a fully managed environment that automatically handles servers, scaling, and load balancing, allowing developers to focus exclusively on writing application code. App Engine offers two main environments: Standard (based on instances that can shut down, ideal for serverless functions) and Flexible (providing greater control over the runtime and allowing the use of Docker).
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App Service
App Service is a fully managed PaaS (Platform as a Service) service offered by Microsoft Azure, designed for quickly hosting, deploying, and scaling web applications, APIs, mobile backends, and functions on various platforms (Windows and Linux). The service automatically manages the server infrastructure, load balancing, and patching, and also offers built-in support for CI/CD processes and automatic scaling, allowing developers to focus solely on coding, minimizing operational overhead.
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Artifact Registry
Artifact Registry is a fully managed artifact repository service offered by Google Cloud Platform that is used to securely store, manage, and version various types of development artifacts, such as Docker container images, Maven packages, npm packages, and Python packages. This provides a centralized and secure access point for all resources used in Continuous Integration and Continuous Delivery (CI/CD) processes, supporting automation and consistency in DevOps environments.
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