jake.systems
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PROJECT 02 / MONITORING & AUTOMATION

Server Stalker.

From public signals to useful context.

A monitoring system for public FiveM server information, combining historical snapshots, change detection, Discord alerts, and a private dashboard.

FOCUS

Observability · Data modelling · Automation

BUILT WITH

Node.js · TypeScript · SQLite · Discord API · FiveM

01 / THE CHALLENGE

The problem
behind the project.

A single snapshot says little about how a server is changing. Useful monitoring needs continuity: collecting observations, comparing them with history, and distinguishing meaningful changes from gaps in visibility.

SYSTEM OVERVIEWCONCEPTUAL FLOW
  1. 01Public server data
  2. 02Snapshots
  3. 03Change detection
  4. 04Dashboard & alerts

The system polls public server information, stores historical snapshots in SQLite, and routes selected changes into Discord. A private dashboard makes population trends and configuration changes easier to inspect.

02 / ENGINEERING DECISIONS

Where the
details matter.

01

Keep observations in context

Historical snapshots connect player counts, server metadata, and resource changes over time. The dashboard and alerts draw on the same underlying observations.

02

Make collection limits explicit

The system observes public information exposed at polling time. It cannot see private resources or in-game activity, and it treats missing or redacted player data as unavailable.

03

Turn changes into usable signals

Change alerts, subscriptions, severity thresholds, and routing controls let a community focus on the events it cares about. Public identifiers are hashed locally rather than stored raw.

03 / WHAT IT BRINGS TOGETHER

Working capabilities.

  • Historical population and metadata snapshots
  • Resource and configuration change detection
  • Discord alerts and per-user subscriptions
  • A private dashboard for trends and change history

THE THREAD THAT RUNS THROUGH IT

The interesting engineering problem is the path from raw observations to information someone can act on, while being honest about what the data cannot show.

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