Enterprise Technology Glossary

6,173 results · page 90 of 309

• Distributed Infrastructure

  Distributed infrastructure is an information technology environment in which compute, storage, and networking resources operate across multiple locations as a coordinated system, supporting enterprise requirements for latency, resilience, regulatory compliance, and centralized governance in hybrid, multicloud, and edge deployments.

• Distributed Job Controller

  Distributed Job Controller is a software control-plane component that coordinates, schedules, and monitors jobs across multiple servers or nodes, enabling enterprises to manage batch, data, and compute workloads with centralized control, policy enforcement, and consistent execution across distributed environments.

• Distributed Manufacturing Network

  Distributed manufacturing network is a coordinated system of geographically dispersed production facilities and partners that use shared data, standardized processes, and interoperable digital platforms to run manufacturing as a single managed environment across multiple sites for planning, execution, and governance.

• Distributed Memory Model

  Distributed memory model is a computer architecture and programming model where each processor maintains private memory and communicates via message passing, which matters in enterprise environments for scaling high-performance computing, data-intensive workloads, and tightly coupled applications across many networked servers.

• Distributed Memory System

  Distributed memory system is a computer architecture in which each processor has its own local memory and coordinates with other processors through message passing, enabling enterprises to scale parallel workloads across clustered nodes connected by a network interconnect.

• Distributed Model Training

  Distributed model training is a machine learning approach that uses multiple compute nodes or accelerators to train a single model in a coordinated way, enabling enterprises to handle larger datasets and models while aligning with existing data, security, and MLOps architectures.

• Distributed Monitoring System

  Distributed monitoring system is a monitoring architecture that collects and analyzes telemetry across multiple networked nodes or locations to track performance, availability, security, and health of distributed environments, supporting reliability management, incident response, and compliance in complex enterprise technology landscapes.

• Distributed Multi-Agent System

  Distributed multi-agent system is a distributed computing approach in which multiple autonomous agents coordinate and communicate over a network to achieve goals without centralized control. It matters in enterprise contexts for managing complex, decentralized environments and coordinating heterogeneous services or devices.

• Distributed Observability Framework

  Distributed observability framework is an architecture and toolset that collects and correlates telemetry across distributed systems to support monitoring, troubleshooting, performance management, and governance in complex cloud-native, hybrid, and multi-cloud enterprise environments where traditional single-host or siloed monitoring approaches are inadequate.

• Distributed Orchestration

  Distributed orchestration is the automated coordination of workflows, services, and tasks across multiple distributed computing environments under a unified control model, enabling enterprises to operate applications and data pipelines consistently across clusters, data centers, and clouds with centralized policy and lifecycle management.

• Distributed Orchestration Layer

  Distributed orchestration layer is a control and coordination tier that manages and automates workload scheduling, lifecycle, and policy enforcement across distributed compute, network, or data resources, enabling consistent operations and governance for applications in complex enterprise and hybrid cloud environments.

• Distributed Policy Manager

  Distributed Policy Manager is a software service that defines, distributes, and coordinates machine-readable policies across distributed systems, enabling consistent security, compliance, and operational control while allowing policy decisions and enforcement to occur close to applications, infrastructure, and data in complex enterprise environments.

• Distributed Query Engine

  Distributed query engine is a software layer that executes SQL or SQL-like queries across multiple nodes and heterogeneous data sources, providing a single logical access point for analytics and reporting that supports federated access, governance integration, and scalable query processing.

• Distributed Switch Fabric

  Distributed switch fabric is a network switching architecture that distributes forwarding and switching capacity across multiple interconnected modules or devices, which matters in enterprise and carrier environments that require scalable bandwidth, high port density, redundancy, and unified operations across large data center or core networks.

• Distributed Systems Protocol

  Distributed systems protocol is a formally specified rule set for coordinating communication and data exchange among multiple networked computing nodes in a distributed system, which supports reliability, consistency, and fault tolerance requirements for enterprise databases, services, and data platforms.

• Distributed Tracing

  Distributed tracing is an observability practice that records and links request flows across distributed services, enabling enterprises to analyze latency, errors, and dependencies for reliability management, incident resolution, and performance optimization in microservices, service mesh, and hybrid or multicloud architectures.

• Distributed Tracing Collector

  Distributed tracing collector is a software service that ingests, processes, and routes trace telemetry from distributed applications to observability back ends, enabling enterprises to manage trace data flow, apply policies, and support troubleshooting and governance across complex systems.

• Distributed Tracing System

  Distributed tracing system is an observability technology that captures and correlates end-to-end traces of individual requests across distributed application components, enabling enterprises to monitor performance, troubleshoot failures, and analyze service dependencies in microservices, cloud-native, and hybrid IT environments.

• Distributed Training

  Distributed training is a machine learning training method that distributes computation or data across multiple processors or nodes to train one model, enabling enterprises to handle large models and datasets within existing time, capacity, and governance constraints.

• Distributed Trust Fabric

  Distributed trust fabric is a security and identity architecture pattern that coordinates decentralized trust, identity, and policy enforcement across multiple domains, helping enterprises manage authentication, authorization, and data access consistently across clouds, partners, devices, and distributed applications.