The platform

One platform. Built from a different foundation.

Parlon's infrastructure observability platform is built around three capabilities that work together, not three modules bolted onto a legacy data model.

~70%Reduction in alert noise with Alert Auto-Tune™
30–50%Reduction in MTTR across customer deployments
<4 hrsTime to first value; synthetics live same day
3–8×Lower 3-year TCO vs. legacy monitoring platforms

Core capabilities

Three capabilities. One architecture.

Normalization at ingestion, continuous active validation, and ML-based alert tuning all read and write against the same data model, so nothing needs a swivel chair to correlate.

Capability 01

Normalization Engine

Incoming telemetry from every vendor, protocol, and environment is mapped into a unified schema at ingestion.

  • Apples-to-apples visibility across vendors without losing depth
  • Higher-signal alerting with fewer false positives
  • Built for scale and high cardinality
  • Trustworthy downstream use across SIEM, compliance, and AI-powered analytics

Where this shows up

Network Path Divergence Detection Traceroute & Latency Waterfall HTTP Performance Breakdown LLM Workflow Validation (MCP)
Capability 02

Active Synthetic Validation

Legacy tools wait for something to break. Parlon continuously validates real paths, workflows, and AI interactions.

Protocols supported

HTTP / HTTPS DNS SSL/TLS TCP Port ICMP Ping WebSocket MCP LLM workflow monitoring
Capability 03

Alert Auto-Tune™

Modern observability tools overwhelm teams with alerts. Static thresholds generate floods of repetitive notifications.

  • Learns baselines automatically
  • Recommends smarter thresholds
  • Correlates and de-duplicates
  • Adds operational context to every alert
  • Continuously improves

Operational context fields

EnvironmentProduction · Test · Dev
Business importanceCritical · High · Medium · Low
Network zoneExternal · DMZ · Internal · Lab
Tenant/customerMSP and multi-tenant aware

Technical architecture

Built for engineers who care how it works.

Active-first observability

Validation runs continuously, not only when telemetry happens to catch a symptom.

Normalized data fabric

One schema across every source, from day one, not reconciled after the fact.

Streaming by default

Built on streaming infrastructure so data moves in real time, not on a polling delay.

Open by design

Open API and streaming export into SIEM, compliance, and analytics tooling you already run.

Apache Kafka VictoriaMetrics Redis 7 PostgreSQL 16

Deployment options

Deploy the way your security team requires.

Most common

SaaS

Hosted on AWS. Fastest path to value.

High compliance

On-premise

Fully installed within your own infrastructure. Complete data residency control.

Maximum security

Air-gapped

Fully isolated with no external connectivity. HIPAA, FedRAMP-aligned.

MSP-ready

MSP / multi-tenant

Purpose-built for managed service providers. Role-based access, tenant isolation, white-labeling.

All deployment modes are feature-equivalent.

Customer results

In production. Proven.

A healthcare enterprise operating 1,000+ clinic locations consolidated two vendors into Parlon, with value delivered within days.

~50%Reduction in observability spend
2 → 1Vendors consolidated
1,000+Clinic locations under management
DaysTime to value delivered

“We found Parlon's capabilities beyond parity with the legacy vendors, and the simplicity of deployment and the cost were a significant value in themselves.”

— Network Infrastructure Lead, healthcare enterprise

See the Normalization Engine, Active Synthetic Validation, and Alert Auto-Tune™ working together within your own environment.

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