Real-Time Dashboards

We build dashboards that display data the moment it happens. WebSocket, Server-Sent Events, time-series data and alerting systems. From IoT monitoring to business KPIs with millions of records.

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The real-time data challenge

Data that arrives late is useless for decision-making

90% of enterprise dashboards show yesterday's data. In a world where IoT sensors generate readings every second, where business KPIs change in minutes and where an undetected failure costs thousands, you need visualisation that is truly real-time. Not every 15 minutes. Not every hour. Now.

At Soamee we've built real-time dashboards for very diverse scenarios: from 24/7 monitoring of agricultural IoT sensors for Spherag (where every second of delay in a frost alert can mean losing a harvest), to analytics platforms processing over 55 million advertising records for InfoAdex, to workforce management dashboards for Orquest.

The technical challenge isn't just displaying data quickly. It's designing a complete architecture: how data is ingested, how it's processed in streaming, how it's stored for efficient historical queries, how it's transmitted to the frontend without saturating the network, how thousands of data points are rendered without blocking the browser, and how alerts are configured to notify before the problem becomes irreversible.

Every dashboard we build is designed for the specific use case. We don't use generic BI tools that force users to adapt to the tool. We build the visualisation users need, with the data that matters, updated the moment it changes.

<200ms

Data update

55M+

Records processed

24/7

Continuous monitoring

<5s

Alert time

Features

Everything a real-time dashboard needs

Every component optimised for performance, usability and production reliability.

Data Streaming

Real-time data transmission to the browser via WebSocket or Server-Sent Events (SSE). Automatic reconnection, data compression and intelligent throttling to optimise bandwidth. The dashboard updates instantly when data changes on the server, without polling or manual refresh.

Time Series

Efficient time-series data visualisation with zoom, pan and range selection. Automatic downsampling to render millions of points without blocking the browser. Period comparison, trend detection and real-time aggregations (average, max, min, percentiles). Optimised storage in TimescaleDB or InfluxDB.

Alerting System

Configurable alerts by threshold, trend or anomaly. Multichannel notification: dashboard push, email, SMS, Slack or webhook. Automatic escalation if the alert is not acknowledged within a defined time. Scheduled silencing for maintenance windows. Alert history with response and resolution times.

KPIs & Metrics

Key performance indicators with real-time updates. Configurable widgets: gauges, counters, status cards, traffic lights, sparklines and ranking tables. Visual goals and targets. Comparison with previous periods (day, week, month, year). Each user sees the KPIs relevant to their role.

Anomaly Detection

Anomaly detection algorithms that identify abnormal values before they become problems. Statistical detection (z-score, IQR), temporal pattern-based and machine learning models. Anomalies are visually highlighted in the dashboard and can trigger automatic alerts.

Role-Based Customisation

Dashboards adapted to user profiles. Operators see device status, engineers see technical metrics, managers see business KPIs. Drag-and-drop widget reorganisation. Saved filters, favourite views and dark mode for control rooms. Responsive for large screens and mobile devices.

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Tech Stack

Technologies for real-time dashboards

We select the right tool for each layer: streaming, storage, processing and visualisation.

React Next.js D3.js Recharts WebSocket Server-Sent Events Socket.IO TimescaleDB InfluxDB Grafana Apache Kafka AWS Kinesis Redis Node.js Python FastAPI PostgreSQL Docker Kubernetes Prometheus

Case Studies

Dashboards in production

Real examples of real-time dashboards we've built for our clients.

Spherag

24/7 agricultural IoT sensor monitoring. Real-time soil moisture, temperature and irrigation data. Instant alerts for critical conditions (frost, water stress). Farmer-optimised dashboard for field use.

24/7 monitoring

InfoAdex

Advertising analytics platform processing and visualising over 55 million ad investment records. Interactive dashboards with complex filters, temporal comparisons and real-time report export.

55M+ records

Orquest

Workforce management dashboard with real-time visualisation of assignments, shifts and productivity metrics. Operational KPIs for store managers and area directors with continuous updates.

Workforce analytics

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FAQ

Frequently asked questions about real-time dashboards

What's the difference between WebSocket and Server-Sent Events?

WebSocket establishes a bidirectional connection between browser and server, ideal when you need to send data in both directions. Server-Sent Events (SSE) is a unidirectional connection from server to client, simpler to implement and sufficient for most monitoring dashboards. SSE uses standard HTTP, which makes it easier to work with proxies and load balancers. We choose the technology based on the specific use case.

How many data points can the dashboard render without losing performance?

With downsampling and virtualisation techniques, our dashboards efficiently render time series with millions of points. The key is not sending all data to the browser: the backend aggregates and reduces data based on the user's zoom level. When viewing a full year, you see hourly averages; when zooming into a day, you see per-minute data. This enables smooth 60fps navigation regardless of total data volume.

Can it integrate with our existing data sources?

Yes. We connect with any data source: SQL and NoSQL databases, REST APIs, MQTT brokers, streaming services (Kafka, Kinesis), CSV/Excel files or SaaS tools like Google Analytics, HubSpot or Salesforce. We design an abstraction layer that normalises data from different sources and presents it in a unified view in the dashboard. If your data source has an API, we can connect it.

Does the dashboard work on mobile devices?

Yes, all our dashboards are responsive and optimised for large screens (control rooms), desktop monitors, tablets and smartphones. On mobile devices, widgets automatically reorganise and charts adapt to screen size with touch gestures for zoom and navigation. Push alerts work on both desktop and mobile browsers.

Can we use Grafana or do we need a custom dashboard?

It depends on the use case. Grafana is excellent for internal technical monitoring (infrastructure, system metrics). For end-user facing dashboards or specific UX requirements, a custom React dashboard offers much more flexibility in design, interaction and branding. Often the best solution combines both: Grafana for the technical team and a custom dashboard for business users. We advise on the best option for your needs.

Let's start

Visualise your data in real time

We help you design and build dashboards that show the data that matters, the moment it matters.

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