Data Pipeline
Scalable data pipeline for modern observability
High-performance log ingestion, processing, and routing. Built for scale with real-time streaming and intelligent cost optimization.
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10M+
Events/Second
Maximum ingestion throughput
<100ms
Processing Latency
From ingestion to searchable
99.99%
Uptime
Pipeline reliability
70%
Cost Savings
vs traditional log aggregation
Pipeline Features
Built for scale and reliability
Enterprise-grade data pipeline that handles billions of events per day while keeping costs under control.
High-Throughput Ingestion
Handle millions of events per second with our distributed log agents. Built in Rust for maximum performance and minimal resource usage.
Real-Time Processing
Stream processing with Apache Kafka for real-time log analysis, anomaly detection, and correlation with metrics and traces.
Smart Filtering
Filter and transform logs at the edge to reduce costs. Only send relevant data to your SIEM or data warehouse.
Multi-Destination Routing
Route logs to multiple destinations simultaneously. Send security logs to your SIEM, performance logs to Datadog, and all logs to S3.
Schema Enforcement
Validate log formats and enforce schemas at ingestion time. Prevent malformed data from entering your pipeline.
Cost Optimization
Intelligent sampling, compression, and tiered storage to minimize costs while maintaining observability.
Architecture
Built for performance and reliability
Our data pipeline is designed from the ground up for high throughput, low latency, and operational simplicity.
- 1
Edge Collection
Lightweight Rust agents run on your infrastructure to collect logs, metrics, and traces. Minimal CPU and memory footprint with built-in buffering and backpressure handling.
- 2
Stream Processing
Apache Kafka handles real-time log streaming with exactly-once semantics. Process data in flight for filtering, enrichment, and correlation.
- 3
Data Storage
Hot data in Elasticsearch/OpenSearch for fast searches. Warm data in PostgreSQL for analytics. Cold data in S3 for compliance and long-term retention.
- 4
Query Layer
Unified query API across all storage tiers. Automatically route queries to the appropriate backend for optimal performance and cost.
Use Cases
Versatile pipeline for any observability need
Incident Root Cause Analysis
Correlate logs, metrics, and traces to identify incident root causes. Full-text search across billions of log lines in milliseconds.
Security & Compliance
Tamper-proof audit logs for SOC 2, HIPAA, and PCI compliance. Encrypted at rest and in transit with role-based access control.
Performance Monitoring
Track application performance with structured logs. Build dashboards for latency, throughput, and error rates across services.
Cost Attribution
Tag logs with customer IDs, projects, or cost centers. Generate cost reports and implement chargebacks for shared infrastructure.
Ready to scale your observability?
See how our data pipeline can handle your log volume while reducing costs.