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Real-Time Metrics
We build metrics systems that stream data in real-time. From operational dashboards to customer-facing analytics—with APIs that power your applications.
Business Intelligence
High-performance streaming and analytics tools
Complete real-time analytics infrastructure with APIs and dashboards.
Kafka/Kinesis pipelines for ingesting and processing events in real-time.
RESTful or GraphQL APIs for querying metrics from your applications.
Real-time visualizations with auto-refresh and drill-down capabilities.
Threshold-based and anomaly detection alerts via email, Slack, or PagerDuty.
A systematic approach to building real-time analytics infrastructure.
Define metrics, latency requirements, and downstream consumers.
Design streaming pipeline, storage, and API layers for your scale.
Build data pipelines, aggregation logic, and visualization layers.
Deploy with monitoring and scale based on actual usage patterns.
Flexible options based on your latency and scale requirements.
Real-time pipeline for 1-2 key metrics with dashboard.
$12,000 - $22,000
Complete streaming infrastructure with APIs and dashboards.
$30,000 - $50,000
Ongoing optimization, new metrics, and infrastructure support.
$6,000 - $15,000/mo
Results from real-time metrics implementations we've built.
"Operations dashboard updates every 2 seconds. We caught a production issue 30 minutes faster than before."
"Customer analytics API powers our premium dashboards. It's a major product differentiator now."
"Real-time inventory tracking eliminated overselling. Customer satisfaction improved 15%."
"Operations dashboard updates every 2 seconds. We caught a production issue 30 minutes faster than before."
Depends on architecture—typically 1-5 seconds from event to dashboard. Sub-second is possible for simpler aggregations.
We use distributed streaming (Kafka, Kinesis) that scales horizontally. We've built systems processing 1M+ events/minute.
Yes. We expose data via APIs or direct database connections that tools like Tableau, Looker, or Power BI can query.
Real-time systems include historical storage for comparisons and trend analysis. You get both real-time and historical views.
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