realtidsvy

Realtidsvy, meaning "real-time view" in Swedish, refers to a user interface and data presentation paradigm that displays data as it is generated. It provides up-to-date information with minimal latency to support fast decision-making and situational awareness.

Common domains include information technology operations, manufacturing, energy, transportation, finance, security, and healthcare. A real-time view is often implemented as dashboards or visualizations that automatically refresh as streams of events arrive.

Key features include continuous data inflow, low-latency rendering, time-aware slicing (per-second or per-minute), support for alerts and thresholds, filtering and drill-down capabilities, and context through historical charts.

Architecturally, real-time views rely on data sources such as event streams, logs, and telemetry; ingestion and stream processing layers; fast storage for hot data; and a visualization layer that may use web technologies. Data can be processed with stream processors, and updates are pushed to clients via WebSocket, Server-Sent Events, or polling.

Benefits include faster detection of incidents, improved operational efficiency, and better decision support. Challenges can include ensuring data quality, managing latency, scaling to large data volumes, handling data privacy and security, and designing intuitive visualizations.

Examples of platforms and tools commonly used to implement real-time views include Grafana, Kibana, Tableau with live data sources, Apache Kafka and Apache Flink for data pipelines, and various business intelligence or monitoring stacks. Real-time views are often complemented by historical dashboards to provide context.