74% of network teams are actively considering replacing a core management tool. The reason is straightforward: the tools they depend on were built for infrastructure that no longer exists.

Parlon is an infrastructure observability platform purpose-built for hybrid, cloud-native, and AI-driven environments. We unify telemetry from infrastructure, applications, and AI/LLM workflows into a single normalized fabric, giving teams trusted, actionable intelligence before issues reach users or revenue.

Three capabilities set Parlon apart:

Normalization as a Primitive | Parlon normalizes telemetry at ingestion, not after the fact. Every metric lands in a consistent, query-ready model. This structural advantage makes correlation, alerting, and AI-ready analytics dramatically more reliable and eliminates the brittle custom parsers teams shouldn't have to maintain.

LLM-Aware Synthetic Testing | AI workloads introduce failure modes legacy tools were never designed to see. Parlon actively tests AI workflows, monitoring inference latency, response quality, and behavioral drift, while simultaneously observing the underlying infrastructure those workflows depend on. No other platform connects these two layers in a single view.

Alert Auto-Tune™ | Learning-based alerting that continuously adapts to real system behavior, de-duplicates noise, and surfaces what's actually worth acting on. The result is ~70% reduction in alert noise. When Parlon alerts, it earns attention.

Founded by operators with decades inside enterprise observability. Built from first principles for what infrastructure looks like today and where AI is taking it next.

Parlon. Observability for Intelligent Infrastructure. Clean. Fast. Deeply Integrable.

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