Why We Exist
Traditional monitoring creates problems we’re solving through engineering innovation and architectural rethinking.
Centralized monitoring creates bottlenecks
Traditional platforms centralize all data, creating exponential scaling costs and performance degradation
Distributed edge architecture
We distribute the code instead of centralizing the data - linear scaling without bottlenecks
Sampling hides critical problems
Traditional 30-second monitoring misses 90% of incidents that last 2-10 seconds
True real-time visibility
Per-second data collection with sub-2-second total latency reveals problems as they happen
Configuration complexity delays value
Traditional tools require weeks of setup, manual dashboard building, and specialized skills
Zero configuration deployment
From installation to complete observability in 60 seconds - automatic discovery and ML-powered insights
Volume-based pricing creates anxiety
Organizations forced to choose between collecting everything (expensive) or sampling data (blind spots)
Predictable per-node pricing
Unlimited metrics, logs, and users - 90% cost reduction with transparent economics