Day 51: Build Dashboards for Visualizing Analytics Results скачать в хорошем качестве

Day 51: Build Dashboards for Visualizing Analytics Results

On Day 51, you build the final mile of your analytics pipeline—the dashboards engineers and operators rely on to understand what’s happening right now. You’ll design a real-time analytics dashboard system that consumes pre-aggregated metrics from Kafka Streams and renders them with sub-second latency in the browser. Instead of slow, pull-based dashboards, your system uses a WebSocket-driven push architecture, streaming metric updates live as data changes. At the visualization layer, you’ll implement a multi-dimensional analytics service capable of rendering: High-frequency time-series charts for operational metrics Histograms for latency and error distribution analysis Geographic heatmaps for region-based traffic and anomaly detection To keep performance predictable at scale, you’ll introduce a query optimization layer combining: Redis caching for hot dashboard queries PostgreSQL time-series partitioning for efficient historical lookups This architecture ensures dashboards remain fast even as event volume grows from thousands to billions of records. By the end of the lesson, your dashboards won’t just look good—they’ll be operationally reliable under peak load, during incidents, and while data is flooding in. #RealTimeDashboards #KafkaStreams #Observability #SystemDesign #ProductionAnalytics