Key Points Moves compute closer to data sources Reduces latency and backhaul dependence Enables real-time processing and local decision-making Used in distributed environments including industrial IoT, telecom, retail, transport, and smart cities Supports selective forwarding to central systems for non-time-sensitive…
Key Points Operates close to data sources Collects and forwards local operational data Reduces dependence on direct central ingestion Bridges Edge Compute devices with central data systems Used in industrial sites, remote locations, and telemetry systems Definition Edge Data Collector…
Key Points Processes workloads near the source of data Reduces dependence on centralized cloud locations Used for low-latency and local processing Often part of distributed Edge Compute architectures Runs applications, containers, or service functions locally Reduces backhaul load and latency…
Key Points Consolidates multiple inputs into fewer outputs Reduces upstream traffic or simplifies reporting Common in Edge Compute and monitoring architectures Sits between local sources and central storage or analytics systems Used in Edge Compute architectures, monitoring systems, industrial networks,…
Key Points Transfers service after failure or planned maintenance Supports continuity and resilience in distributed systems Used in networks, servers, cloud platforms, and control systems Can be automatic or manual Requires fault detection, backup readiness, and state synchronization Failure modes…
Key Points – Handles service communication policies – Supports traffic control and security – Used in microservices and cloud-native environments – Adds observability to east-west traffic – Enforces mTLS, routing, and telemetry policies across service communication paths Definition Service Mesh…
Key Points – Collects data from distributed points – Supports monitoring and automation – Used in industrial and environmental systems – Often combines sensing and communications – Operates at the Access layer connecting field devices to control and analytics systems…
Key Points Used for integrity checking Common in communication and storage systems Detects corruption or alteration Often paired with retransmission or validation Definition Checksum is a calculated value used to verify the integrity of data by detecting whether it has…
Key Points – Executes onboard software and control logic – Interfaces with sensors and actuators – Supports autonomy and command execution – Processes sensor data and issues control actions – Manages timing and sequencing of subsystem behavior – Operates independently…
Key Points Brings cloud resources nearer to endpoints Supports low-latency and local processing Used with distributed and latency-sensitive applications Often paired with connectivity and Edge Compute services Reduces round-trip delay and supports local processing where centralized cloud access is insufficient…
