Automated server log cleanup via email alerts with SSH - Nginx, Docker, System
Automatically maintain your server's health by clearing out bulky logs whenever disk space runs low. This intelligent workflow listens for high-utilization email alerts, identifies the target server, and executes SSH cleanup commands for Nginx and Docker instantly. Say goodbye to manual maintenance and prevent crashes caused by full disks.
Run this with your team's AIWhat This Recipe Does
Manual disk cleanup is a reactive, time-consuming task that puts business operations at risk. When a server runs out of storage space, websites go down, databases crash, and customer services are interrupted. This automation transforms your response from manual troubleshooting to instant, automated resolution. The workflow monitors your incoming email alerts for storage warnings and automatically triggers a secure cleanup process. By executing pre-defined SSH commands to purge bloated log files and temporary data, it restores disk health without requiring human intervention. This ensures that your infrastructure remains stable and your digital services stay online around the clock. IT managers can transition from firefighting storage emergencies to focusing on strategic growth projects, knowing that routine maintenance is handled reliably. It provides a robust safety net that protects your uptime, improves system performance, and significantly reduces the operational overhead of managing complex server environments.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
SSH (key-based auth) connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect SSH (key-based auth) once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- IT Operations Managers who need to maintain server uptime across multiple environments without increasing manual monitoring hours.
- Web Hosting Providers who want to automate the cleanup of temporary files and logs to ensure client sites never crash due to full disks.
- Software Development Teams running high-volume CI/CD pipelines that generate large quantities of build logs requiring frequent purging.
Frequently Asked Questions
Does this require me to manually run the cleanup every time I get an alert?
No. The automation is designed to monitor your inbox and trigger the cleanup sequence automatically as soon as a disk space alert is detected, though it can also be triggered manually if preferred.
Can I choose which specific folders or log files are purged?
Yes. The workflow can be customized to target specific directories, file types, or age thresholds to ensure critical data is preserved while unnecessary logs are removed.
Is it safe to provide SSH access for this automation?
The automation uses secure SSH protocols to communicate with your server. You can further enhance security by using restricted user permissions that only allow the execution of specific cleanup commands.
What do I need to get started with this automation?
You will need your email server credentials (IMAP) to read incoming alerts and SSH access details for the servers you wish to manage automatically.
Coming from n8n?
This recipe uses nodes like EmailReadImap, Code, Set, Ssh and 1 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork