I’m building a dashboard powered by Apache Solr whose single mission is to monitor our mechanical pumps in real time. The data stream is already available; what’s missing is the Solr-side design, the ingestion flow, and a clean front-end that lets me glance at each pump’s status, history, and any emerging anomalies without digging through logs. Here’s how I see the work breaking down: • Configure an optimised Solr core (schema, analyzers, indexing strategy) tailored to pump telemetry. • Set up an ingestion pipeline that can accept our incoming JSON over HTTP and index it continuously. • Deliver a straightforward web dashboard (plain JavaScript, React, or a framework you prefer) that queries Solr, plots key metrics, and flags out-of-range values. Acceptance criteria: – A running Solr instance with the new core accessible locally. – Sample data indexed and searchable via REST calls. – Dashboard page loading live data, updating without refresh, and offering basic time-range filtering. – Clear README covering install, run, and extending the schema. If you’ve tuned Solr for sensor streams or built monitoring UIs before, this should feel familiar. I’m ready to start as soon as you can outline your approach and an estimated timeframe.