Your team is making operational decisions based on data that is already 15 minutes old when they see it?
You have a BI dashboard that shows yesterday's numbers but no live view of what is happening right now?
Real-Time Dashboard Development
RaftLabs builds live operational dashboards that update automatically as underlying data changes. Fleet tracking maps, production line monitoring, financial market displays, and operations centre screens -- built for the contexts where decisions require current data rather than last-hour exports.
We design the full stack: the data pipeline from source to WebSocket or SSE delivery, the front-end chart and map rendering that updates without page flicker, and the alert and threshold management that tells your team when something needs attention.
Sub-second data updates via WebSocket or SSE -- no manual refresh required
Designed for high-frequency data without overloading the client browser
Alert and threshold management built in -- not bolted on after the fact
Multi-screen and operations centre layouts supported
RaftLabs builds real-time operational dashboards using WebSocket and Server-Sent Events. We deliver live fleet tracking maps, production monitoring screens, financial data displays, and IoT sensor dashboards with alert management -- on fixed-cost engagements with full data pipeline design included.
Operational decisions made on stale data are not really operational decisions -- they are historical analysis dressed up as real-time management. When your fleet tracking screen shows positions from three minutes ago, your dispatch team is not managing what is happening; they are managing what happened. When your production monitoring dashboard refreshes on a five-minute cycle, problems compound for five minutes before anyone sees them.
RaftLabs builds dashboards where the data on screen reflects reality within seconds of it changing. We design the full pipeline -- from data source through streaming infrastructure to front-end rendering -- and we solve the engineering problems that make high-frequency dashboards hard: throttling updates so the client is not overwhelmed, rendering efficiently so charts update without flicker, and managing alerts so your team is notified when thresholds are crossed rather than discovering issues during the next manual check.
What we build
Live operational monitoring dashboards
Custom operational dashboards that display current system state across whatever metrics your team monitors. KPI tiles, time-series charts, status grids, and health indicators -- all updating via WebSocket or SSE without requiring a page refresh. We design the information hierarchy so your operators see the most critical signals first, with drill-down available for detail when something needs investigation.
Fleet and asset tracking maps
Geospatial dashboards that show asset positions, routes, and status updating in real time. WebSocket-delivered location events rendered on Mapbox GL or Deck.gl with smooth animation, cluster handling for dense asset groups, and click-through detail panels. Route history overlays, geofence alerts, and multi-fleet views for operations centres managing large numbers of moving assets.
Financial and trading data displays
High-frequency price, volume, and position displays for financial and trading applications. Canvas-based rendering for tick-level time-series data without DOM performance bottlenecks, order book depth views, P&L tracking with real-time mark-to-market, and threshold alerts for risk management. Designed to stay responsive under the update frequencies that financial data sources produce.
IoT sensor data dashboards
Live sensor readings from temperature, pressure, vibration, flow, and current sensors delivered to dashboard displays as they arrive from your IoT data pipeline. Gauge displays, trend lines, and anomaly highlighting for the readings that require operator attention. Alert thresholds configurable per sensor and per asset so your team is notified of out-of-range readings before they become failures.
Alert and threshold management
Configurable alert rules evaluated server-side so notifications fire the moment a threshold is crossed, not on the next dashboard poll. In-dashboard alert banners, sound alerts for critical events, email and SMS escalation for unacknowledged alerts, and an alert history log so your team can review what happened and when. Acknowledgement workflows so one operator claiming an alert removes it from everyone else's queue.
Multi-screen operations centre displays
Dashboard layouts designed for operations centre walls and multi-monitor workstations. Full-screen layout modes, TV-optimised display configurations, and auto-rotating views that cycle through multiple dashboard panels on a configurable interval. Role-based display profiles so different screens show the information relevant to the team in front of them.
Your team is making decisions on data that is already old.
Tell us what your current refresh cycle is and what data source you are pulling from. We will tell you what a real-time layer would cost and how long it would take to deliver.
Related real-time development services
Real-Time App Development -- overview of our full real-time development practice
WebSocket Development -- the WebSocket infrastructure that delivers live dashboard updates
Live Collaboration Software -- collaborative tools for teams working on shared operational data
Event-Driven Architecture -- event streaming infrastructure that feeds real-time dashboards at scale
Related services
IoT Development -- IoT data pipelines and sensor infrastructure that feed real-time dashboards
Predictive Analytics -- predictive model outputs surfaced on real-time operational dashboards
Frequently asked questions
A BI dashboard is built for analysis -- it queries a data warehouse, runs aggregations, and renders charts that help you understand what happened over a time period. A real-time dashboard is built for operations -- it shows you what is happening right now so you can act on it. The data pipeline is different (streaming vs batch), the update mechanism is different (WebSocket/SSE vs scheduled query), and the front-end rendering requirements are different (incremental update without page reload vs full chart re-render on demand). Many businesses need both: a real-time operations view and a BI view for trend analysis. We build the real-time layer and can advise on how to integrate it with your existing BI tooling.
Client-side rendering has a practical ceiling -- if your data source emits 1,000 updates per second, pushing every one to the browser will consume all available CPU and produce a display that changes faster than any human can read. We solve this with server-side throttling and aggregation: the server batches updates at a configurable interval (typically 250ms to 1 second depending on the use case), aggregates them into a single diff, and sends the smallest payload that accurately represents the current state. Charts and maps receive only the data they need to update their current view, not a full re-render payload on every event.
We select charting libraries based on your specific requirements. For high-frequency time-series data, lightweight canvas-based libraries like uPlot or TradingView Lightweight Charts handle rapid updates without DOM overhead. For complex multi-chart operational dashboards, Recharts and ECharts provide the flexibility and customisation your design requires. For maps and geospatial dashboards, Mapbox GL and Deck.gl handle large numbers of moving assets at smooth frame rates. We recommend the right tool for your data volume and visual complexity rather than defaulting to a single library for everything.
A focused real-time dashboard -- single data source, a defined set of charts and metrics, alert thresholds, and basic user configuration -- typically runs $15,000 to $50,000. A complex multi-source platform with geospatial mapping, multi-screen layout support, role-based views, historical overlay, and advanced alert management ranges from $50,000 to $120,000. We scope each engagement with a clear definition of data sources, update frequency, and chart inventory before providing a fixed-cost quote.