Bots built not to fall over in production
The difference between an amateur bot and a production system shows when something goes wrong. Pick a scenario below to see what happens inside.
A production bot doesn’t lose messages
An amateur bot works while everything is fine. A production system is built for slow APIs, network failures and repeated webhooks. Pick a scenario — the log below shows what happens inside.
- messageok
- webhookok
- queueok
- workerok
- apiok
The webhook answers Telegram immediately and the work goes to a queue. The bot never hangs, even when the CRM is slow.
- +0.000smessageupdate_id=7031 received
- +0.012swebhookPOST /webhook → 200 (ack before processing)
- +0.015squeueenqueue job key=tg:7031
- +0.040sworkerjob picked · attempt 1
- +0.162sapiPOST /crm/leads → 201
- +0.184sworkerdone · logged trace_id=9f2c
✓ RETRY✓ LOGGED✓ MONITORED
Under the hood
- queue
- Slow work runs in a queue, not in the webhook handler.
- retry
- Retries with exponential backoff and an attempt limit.
- idempotency
- A repeated event never creates a duplicate.
- rate limits
- We respect Telegram and third-party API limits.
- audit log
- Who did what through the bot, and when.
- monitoring
- Metrics, alerts and error tracking.
- backups
- Regular backups with restore checks.
How a project runs
Process review → architecture → dialogue prototype → iterative development → failure and load testing → launch with logs, monitoring and backups.
- Prototype before development
- Tests for repeated webhooks and network failures
- Support after launch
Does the bot need its own backend platform or web portal?
Software systemsDevZoneJust write to us
Describe the task in your own words — we reply on Telegram, clarify the process and suggest an architecture. Three lines are enough to start:
- Type: bot / Mini App / automation
- Integrations: CRM, payments, API…
- Task: what work the bot should do
Or fill in a brief — get a preliminary architecture