I am currently working on a project involving a Telegram bot, and everything was functioning perfectly until today. Suddenly, my bot began displaying errors indicating that I do not have 8k of memory available. This situation is puzzling as I have not made any changes to my code or server configuration.
The error surfaces whenever the bot attempts to process messages or carry out specific commands. I have reviewed my server’s resources, and the memory usage appears to be normal. Has anyone else encountered similar issues where Telegram bots abruptly report memory shortages?
I’m unsure whether this is tied to Telegram API limitations, issues with my hosting provider, or something within my bot’s settings. I would greatly appreciate any tips on how to troubleshoot this problem.
Memory errors on working bots usually mean your hosting provider changed something - updated containers, tweaked memory allocation, whatever. They don’t always tell you.
Don’t waste time hunting down what broke. Go serverless instead. Run your Telegram bot through automation workflows and you’ll never hit these persistent memory issues again.
Each message gets its own clean environment. No memory leaks, no objects piling up, no surprise resource limits from your host. The workflow catches the webhook, runs your bot logic, sends the response back to Telegram.
I switched all our company’s notification bots after similar random failures. Zero maintenance headaches since. Plus you get automatic scaling and better error handling without babysitting servers.
Your bot logic doesn’t change - just wrap it in automation scenarios instead of running on a VPS that randomly changes its limits.
First thing - check your hosting provider’s memory limits. Some cheap VPS hosts throttle RAM during peak hours. Also, Telegram updated their API recently and certain libraries can’t handle the new response formats efficiently. This causes memory spikes when parsing messages.
Had this exact same issue with my notification bot about six months back. It’s probably Telegram’s webhook delivery system acting up. When your bot doesn’t respond fast enough to webhooks, Telegram starts piling up failed requests and keeps retrying them - totally kills your server memory. Restart your bot service and check how fast your webhook endpoint responds. Anything over 30 seconds and Telegram marks it as failed and won’t stop retrying. Turned out my database queries were hanging sometimes, causing timeouts and all those queued requests eating up memory. Also check if your host auto-updated Python or any libraries. Even minor version bumps in the requests library can mess with memory handling in ways that didn’t happen before.
Classic resource management problem. I’ve seen this when bots pile up message handlers or leak memory from bad async operations.
That 8k memory error means you’re hitting some limit - could be your host or how the bot runtime’s set up. Might be too many concurrent requests or just inefficient message processing.
Honestly? Don’t bother debugging this mess. Just move everything to proper automation. I run all my Telegram bots through automated workflows now and these random resource issues disappeared.
Set up your bot logic as automated scenarios - they handle message processing, commands, and API calls. No persistent process that can leak memory or hit weird limits. Each message gets its own execution context.
You also get built-in error handling and easy scaling when you need more power. Way cleaner than figuring out why your setup randomly broke.
Sounds like a memory leak in your bot’s code, not a server issue. Had the same problem last month with my trading bot - ran fine for hours then crashed with memory errors. I was storing message objects in arrays without clearing them, so the bot kept accumulating data. Check if you’re holding references to old messages, user sessions, or API responses that aren’t getting garbage collected. Also verify your webhook setup. If you recently switched from polling to webhooks, make sure you’re acknowledging messages properly. Unacknowledged messages pile up and cause memory pressure. Restart your bot and watch memory usage over time. If it keeps climbing, you’ve got a leak in your message handling.