Scaling Multiple Telegram Bots on One Plan

One Bot Per Process

Each Telegram bot should run as its own process with its own bot token — never share a single bot token across multiple running instances, since Telegram will reject duplicate getUpdates polling from the same token and cause one (or both) instances to silently stop receiving updates.

Keep Resource Usage in Mind

A single small Telegram bot uses very little RAM or CPU most of the time, which is why running several on one plan is usually realistic — but each additional bot adds its own baseline memory footprint and its own outbound polling traffic. Keep an eye on your plan's resource usage as you add bots, and size up before you're consistently near the limit, not after.

Separate Configuration Per Bot

Keep each bot's token, environment variables, and any persistent data (like a database file or session store) separate from the others — even on the same plan. Mixing configuration between bots is one of the most common sources of one bot behaving like another by accident.

When to Split Onto Separate Plans

If one bot's traffic grows significantly, or if you need independent control over restarts and resource limits for a specific bot (for example, a production bot that shouldn't be affected by testing a second one), that's the point to move it to its own plan rather than keep stacking bots on one.