Enterprise Technology Glossary

6,173 results · page 150 of 309

• Kubernetes Security and Compliance

  Kubernetes security and compliance is the set of technical controls and operational practices that protect Kubernetes clusters and workloads while aligning them with internal policies, security frameworks, and regulatory requirements in enterprise environments, including access control, configuration baselines, monitoring, and auditability.

• Kubernetes Security Policy

  Kubernetes Security Policy is a defined set of technical controls and rules that govern workload, user, and component behavior in a Kubernetes cluster to reduce security risk, support compliance requirements, and provide consistent enforcement of security baselines across environments.

• Label Distribution Protocol

  Label Distribution Protocol (LDP) is a control-plane protocol in MPLS networks that distributes labels between routers for label-switched path setup, enabling scalable label-based forwarding for VPNs and IP transport services based on existing interior routing information.

• Label Distribution Protocol

  Label Distribution Protocol (LDP) is a control-plane protocol used in MPLS networks to distribute labels between routers, enabling label-switched paths that support VPNs and other MPLS services in enterprise and service provider architectures.

• Lakehouse Metadata Layer

  Lakehouse metadata layer is the transaction and catalog abstraction in a data lakehouse that manages table definitions, schemas, versions, and access controls for data in object storage, enabling consistent governance and multi-engine analytics across enterprise data environments.

• Language Model

  Language model is a computational system that assigns probabilities to text sequences and generates or scores text based on patterns learned from data. It matters in enterprises because it enables automated processing of unstructured language across applications, workflows, and services.

• Language Models

  Language models are computational systems that assign probabilities to sequences of words or tokens and support tasks such as classification, generation, and retrieval in enterprise applications, providing a foundation for search, automation, and text understanding across large-scale digital environments.

• LAN Segment

  LAN segment is a portion of a local area network that forms a single Layer 2 broadcast domain, providing a discrete scope for frame forwarding, addressing, and policy enforcement in enterprise access, campus, and data center network designs.

• Large Driving Model

  Large driving model is a phrase that currently lacks a stable, consensus technical definition in academic, standards, and enterprise research sources, so enterprises and architects do not treat it as a distinct, formally specified model category in autonomous driving systems.

• Large Language Model

  Large language model is a neural network trained on large text datasets to model and generate human language. It matters in enterprises because it underpins automation, search, and analytic capabilities across many text-based workflows and integrates into data and application platforms.

• Large Language Model Meta AI

  Large Language Model Meta AI (LLaMA) is a family of transformer-based large language models released by Meta AI under an open foundation license, used by enterprises as a deployable language engine for text generation, customization, and integration into internal applications.

• Laser Communication Terminal

  Laser communication terminal is an optical transceiver system that uses narrow laser beams to carry digital data between satellites, aircraft, ground stations, or other platforms, providing high-capacity free-space links that integrate into broader enterprise and government communication and data transport architectures.

• Laser Stabilization

  Laser stabilization is the use of feedback and environmental control techniques to keep a laser’s frequency, phase, and intensity within defined tolerances, which supports coherent communications, precision sensing, metrology, and timing applications in enterprise and networked systems.

• Latency

  Latency is the measured time delay between a request and its response in a digital system, usually in milliseconds, and matters in enterprise environments because it constrains performance, reliability targets, and user experience for networks, applications, storage, and distributed workloads.

• Latency–Accuracy Tradeoff

  Latency–accuracy tradeoff is the relationship in which improving a system’s response speed usually reduces output accuracy, while improving accuracy often increases computation time and delay. It matters because enterprises must tune models and architectures to meet response-time and quality requirements simultaneously.

• Latency-Aware Orchestration

  Latency-aware orchestration is the automated coordination of distributed compute, storage, and network resources based on latency measurements or targets, enabling enterprises to keep latency-sensitive workloads within defined performance and service-level objectives across cloud, edge, and hybrid environments.

• Latency-Aware Orchestration Layer

  Latency-aware orchestration layer is a software control layer that monitors and uses end-to-end latency metrics to schedule, place, and manage workloads or data flows, helping enterprises meet latency objectives across distributed, hybrid, and edge computing environments.

• Latency-Aware Scheduler

  Latency-Aware Scheduler is a resource management component that uses latency measurements or deadlines to decide how and where to run tasks so that enterprise applications and services meet defined response-time or delay objectives in shared computing and network environments.

• Latency-Aware Scheduling

  Latency-aware scheduling is a resource management method that selects computing and network resources based on measured or predicted latency so workloads meet response-time objectives, helping enterprises operate interactive and real-time applications on shared cloud, data center, and edge infrastructure under defined service-level agreements.

• Latency Budget

  Latency budget is the defined maximum response time that an end-to-end system or transaction may consume, allocated across components, so enterprises can design, monitor, and govern architectures to meet service-level objectives and predictable application performance requirements.