Managing waitlists and table turnarounds during peak hours is a constant challenge for high-turnover restaurants. QueueBite is an AI-powered waitlist and table management platform designed to bridge the gap between walk-in guests and host stand operations. 1. What is QueueBite? QueueBite integrates intelligent queue scheduling, dynamic wait-time estimation, and real-time floor tracking into a single streamlined system. Built for speed and operational efficiency, it optimizes table allocation while delivering a zero-friction experience for guests. 2. Key Architecture & Dual-Portal System QueueBite provides tailored interfaces for both restaurant staff and dining guest: Host Stand Dashboard (Staff): Offers a live queue feed sorted by wait time and priority. Hosts can register walk-ins, update party statuses ( Waiting → Notified → Seated ), and view real-time table states across dining sections. Customer Portal (Mobile Web): Guests can join the queue via QR code, vie...
From Telemetry to Automated Incident Response: My DevOps & Observability Journey # observability # ai # opentelemetry # devops Description: A hands-on learning journey building observability and automated incident response into a FastAPI order-tracking application using OpenTelemetry, Prometheus, Loki, Tempo, Grafana, and Codex CLI. From Telemetry to Automated Incident Response As part of the DataTalksClub AI Dev Tools Zoomcamp , I worked on a small but practical challenge: turning a simple FastAPI application into an observable system with automated incident response. The project started as a basic Order Tracker application backed by SQLite. By the end, it had evolved into a system that could: collect metrics, logs, and traces visualize telemetry in Grafana detect application errors through alerting send incidents to an incident-response service provide evidence for investigation trigger a coding agent to investigate and remediate an issue The most valuable lesson for me wa...
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