Real-Time Metrics
Know what's happening right now, not yesterday.
We build metrics systems that stream data in real-time. From operational dashboards to customer-facing analytics—with APIs that power your applications.
- Streaming data pipelines with sub-second latency
- Live dashboards that update automatically
- Metrics APIs for embedding analytics in your apps
- Real-time alerting on threshold breaches
- Historical comparisons and trend detection
- Scale to millions of events per minute
Know what's happening right now, not yesterday.
Business Intelligence
Technologies We Use
High-performance streaming and analytics tools
What we deliver
Complete real-time analytics infrastructure with APIs and dashboards.
Streaming pipeline
Kafka/Kinesis pipelines for ingesting and processing events in real-time.
Metrics API
RESTful or GraphQL APIs for querying metrics from your applications.
Live dashboards
Real-time visualizations with auto-refresh and drill-down capabilities.
Alerting system
Threshold-based and anomaly detection alerts via email, Slack, or PagerDuty.
How We Work
A systematic approach to building real-time analytics infrastructure.
Requirements Analysis
Define metrics, latency requirements, and downstream consumers.
Architecture Design
Design streaming pipeline, storage, and API layers for your scale.
Implementation
Build data pipelines, aggregation logic, and visualization layers.
Launch & Scale
Deploy with monitoring and scale based on actual usage patterns.
Engagement models
Flexible options based on your latency and scale requirements.
Metrics POC
Real-time pipeline for 1-2 key metrics with dashboard.
$12,000 - $22,000
Full platform
Complete streaming infrastructure with APIs and dashboards.
$30,000 - $50,000
Managed analytics
Ongoing optimization, new metrics, and infrastructure support.
$6,000 - $15,000/mo
Certifications & Partners
What clients are saying
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%."
Frequently asked questions
What latency can I expect?
Depends on architecture—typically 1-5 seconds from event to dashboard. Sub-second is possible for simpler aggregations.
How do you handle high event volumes?
We use distributed streaming (Kafka, Kinesis) that scales horizontally. We've built systems processing 1M+ events/minute.
Can real-time metrics integrate with our existing BI tools?
Yes. We expose data via APIs or direct database connections that tools like Tableau, Looker, or Power BI can query.
What about historical data?
Real-time systems include historical storage for comparisons and trend analysis. You get both real-time and historical views.
Ready for real-time visibility?
Share your metrics needs and we'll design an architecture in a 30-minute call.
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