Telegram Bots: From Idea to Production

Telegram bots are underrated. Low friction for users, powerful API, and they run on any cheap VPS.

Stack I Use

• Telegraf (Node.js framework) — clean middleware pattern, TypeScript-native
• PostgreSQL — for anything that needs to persist
• Redis — rate limiting, sessions, job queues
• Webhook mode — not polling; webhooks are faster and don't burn CPU

Architecture Pattern

User → Telegram servers → Your webhook endpoint → Handler → Response

Never use long-polling in production. Set a webhook and let Telegram push updates.

The Must-Have Features

1. Admin command panel — /stats, /broadcast, /ban — you need these from day one
2. Error handling with alerts — catch every unhandled error, send to admin chat
3. Rate limiting — users WILL hammer your bot
4. Graceful shutdown — handle SIGTERM, finish in-flight updates

Deployment

I deploy bots as systemd services or Docker containers. The process:

1. npm run build (TypeScript compile)
2. Upload to VPS
3. systemctl restart bot-name
4. Register webhook: https://api.telegram.org/bot{TOKEN}/setWebhook?url=https://your-domain/webhook

Common Pitfalls

• Don't store Telegram user IDs as integers — they can exceed JS safe integer range. Use strings.
• Always answer callback_query with answerCallbackQuery — Telegram shows a spinner otherwise
• Don't send more than 30 messages/second per bot (API limit)