Instant Search Across High-Volume Message Traffic

When a distributed system produces millions of messages per day across dozens of producers and hundreds of topics, finding a specific event after the fact, or correlating signals across sources in real time, becomes operationally critical. Arc Monitor solves this with sub-second full-text search over rolling message archives, letting operators locate any event, message, or pattern without log-diving or bespoke queries.

Arc Monitor is part of the Arc Suite, designed for operators who need immediate answers from complex data pipelines. It is deployed at the USSF Space Domain Awareness (SDA) TAP Lab, where it serves as the primary tool for correlating multi-provider space domain awareness data against official Notices to Satellite Operators (NOTSOs), validating detection coverage across a large-scale multi-provider ecosystem in continuous operation since July 2025.

Key Features

Keyword Search

Type keywords, get results across all message traffic with relevance ranking

Cross-Source Correlation

Match internal outputs against authoritative reference sources to measure coverage

Visual Filtering

Drill down by producer, topic, or time window with live charts

Event Chains

See upstream/downstream messages visualized in-page for full context

How Arc Monitor Works

1

Archive Messages

Rolling archives of all messages are maintained across every producer and topic

2

Index Content

Full-text indexing enables rapid keyword and pattern searches

3

Search & Filter

Operators search by keyword, topic, producer, or time range

4

Visualize Context

Results displayed with event chains and related messages

Use Cases

Post-Event Investigation

Reconstruct what happened during a system incident, compliance event, or operational anomaly by searching the full message history, without needing to know in advance what to log. Applicable to defense operations, national lab data pipelines, and industrial control networks.

Anomaly Analysis

Find unusual patterns, message gaps, unexpected producers, or out-of-band signals in high-volume traffic streams. Used in distributed sensor network operations and multi-provider data environments to catch issues that structured alerting misses.

Coverage and Trend Analysis

Identify which producers are detecting or reporting on specific events, measure coverage breadth across a distributed ecosystem, and surface emerging patterns over time. Deployed at the SDA TAP Lab to correlate multi-company detection outputs against official space notifications.

Frequently Asked Questions

Arc Monitor searches archives maintained in storage. Retention depends on storage configuration, typically covering weeks to months of historical data. Archive depth is bounded only by available storage, making it straightforward to extend retention windows for compliance or forensic use cases.

Yes. Arc Monitor supports full-text keyword search over the complete message payload, which means any field content (catalog numbers, transaction IDs, device identifiers, coordinates, status codes, or free-text descriptions) is searchable without requiring pre-defined schema mappings or custom query syntax.

Arc Monitor matches keywords from an authoritative reference source (such as an official notification, alert feed, or ground-truth record) against the archived message stream to identify which producers detected, predicted, or reported on the same event. This pattern is used at the SDA TAP Lab to correlate multi-company space domain awareness outputs against official NOTSOs, and applies equally to any ecosystem where you need to measure detection coverage or validate distributed sensor outputs against a reference dataset.

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