Systems & Infrastructure / Case Study 02

Python Real-Time Telemetry Pipeline

1. Problem & Architecture Goals

When monitoring long-running enterprise backup routines, polling an HTTP API every second generates wasteful TCP handshakes, server CPU spikes, and sluggish latency. The goal was to build a zero-overhead Python daemon that could monitor backup progress in real time and broadcast updates to mobile client subscribers instantly.

2. Asynchronous Event-Driven Design

  • AsyncIO Concurrency: Non-blocking coroutine loop that handles dozens of simultaneous client WebSocket subscriptions while polling filesystem sockets.
  • Differential JSON Payloads: Only sending delta changes (e.g. transfer percent, speed delta, new log lines) rather than full state dumps to conserve mobile cellular bandwidth.
  • Heartbeat Pings: Dynamic ping/pong keepalive messages that detect severed client connections within 5 seconds and gracefully reclaim server socket resources.

3. Visual Showcase

Telemetry Interface
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