This article provides a complete, practical walkthrough of the Schedule Stickynote Send Scheduled n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automated System Resource Monitoring with n8n: Track VPS CPU, RAM & Disk Usage
   
   Meta Description:
   Learn how to automatically monitor VPS resource usage using n8n. This workflow checks CPU, RAM, and Disk usage every 15 minutes and sends an email notification when thresholds are exceeded.
   
   Keywords:
   n8n workflow, VPS monitoring, CPU usage alert, disk usage monitoring, RAM usage alert, system resource alert, automate server monitoring, send email notification n8n, SSH monitoring, system health check
   
   Third-Party APIs and Services Used:
   - SSH (via n8n SSH node)
   - SMTP (for sending email notifications)
   
   Article:
   
   Effortless VPS Monitoring with n8n: Automate System Resource Alerts
   
   Monitoring your Virtual Private Server's (VPS) resource usage is critical for ensuring server stability, avoiding performance bottlenecks, and preventing potential service outages. Manually checking CPU, RAM, and disk usage can be both time-consuming and inefficient. Enter n8n — a robust workflow automation tool that can automate server resource monitoring and alert you only when intervention is required.
   
   In this article, we’ll walk through a simple but powerful n8n workflow designed to automatically check system usage metrics on your VPS every 15 minutes and email you a notification if any of the metrics exceed a defined threshold.
   
   Overview of the Workflow
   
   This n8n workflow performs the following actions:
   
   1. Runs every 15 minutes.
   2. Executes SSH commands to check CPU, RAM, and disk usage on your VPS.
   3. Merges the collected data.
   4. Compares current usage against predefined thresholds (default: 80% for each resource).
   5. Sends an email notification if any resource usage crosses the threshold.
   
   Let’s break down each component of this automation so you can implement it for your own infrastructure.
   
   Trigger: Scheduled Execution Every 15 Minutes
   
   The workflow starts with the “Schedule Trigger” node, configured to run the sequence every 15 minutes. This ensures regular monitoring without manual intervention or the need for external cron jobs.
   
   SSH Commands: Check CPU, RAM, and Disk Usage
   
   The next section utilizes n8n's SSH node to access your remote VPS and fetch the current resource usage metrics. Here's what each check does:
   
   - RAM Usage:
     Command: 
     ```bash
     free | awk '/Mem:/ {printf "%.2f", (1 - $7/$2) * 100}'
     ```
     This command calculates used RAM as a percentage by determining free memory from the total.
   
   - Disk Usage:
     Command:
     ```bash
     df -h | awk '$NF=="/"{printf "%.2f", $5}'
     ```
     This checks the disk usage specifically for the root partition.
   
   - CPU Usage:
     Command:
     ```bash
     top -bn 1 | grep "Cpu(s)" | sed "s/.*, *\([0-9.]*\)%* id.*/\1/" | awk '{print 100 - $1}'
     ```
     This gives the CPU usage by subtracting the idle percentage from 100%.
   
   Note: All SSH nodes in this workflow use the same saved SSH credentials to connect to your VPS securely.
   
   Data Merge and Processing
   
   The collected metrics are merged using the "Merge check results" node. This node combines the outputs of the three metric checks into a single JSON object that holds:
   - CPU usage (in percentage)
   - Disk usage (in percentage)
   - RAM usage (in percentage)
   
   Conditional Check Against Thresholds
   
   After merging, the critical “Check results against thresholds” node evaluates whether any of the resource metrics exceed 80%. This threshold can easily be customized to suit your needs for each metric separately.
   
   For example, if you want RAM usage to alert at 70% instead of 80%, just adjust that individual parameter in the condition setup.
   
   Real-Time Alert via Email
   
   If any resource surpasses the threshold, the “Send Email” node fires off an alert email. The message includes the exact values of CPU, RAM, and disk usage rounded to two decimal places.
   
   Here’s a sample email body:
   ```
   System resources are above the threshold.
   
   CPU: 85.60%
   RAM: 80.12%
   Disk: 90.05%
   ```
   
   This email is sent via the SMTP credentials defined in the node. Make sure to update both the “From” and “To” addresses, as recommended in the sticky note labeled "Update email addresses."
   
   Easy Configuration and Customization
   
   The workflow is annotated with helpful Sticky Notes, nudging the user to:
   
   - Update the destination email address.
   - Adjust the usage threshold values.
   - Understand that this check runs every 15 minutes by default (which is also adjustable via the scheduler).
   
   These built-in hints streamline deployment and customization without digging through each node.
   
   Why This Workflow Matters
   
   - Reduces manual monitoring.
   - Ensures real-time alerting of system overutilization.
   - Can be extended to monitor additional servers by replicating the SSH commands with different credentials.
   - Works with any VPS or bare-metal server that can be accessed via SSH.
   
   Conclusion
   
   With this n8n workflow, automated VPS health monitoring becomes hands-free and dependable. Whether you are managing a single server or a fleet of machines, the same logic can be scaled or integrated into broader DevOps pipelines.
   
   Give your server the attention it deserves — automatically. And the next time your server has resource issues, you’ll be the first to know.
   
   If you're new to n8n, this workflow is also a great example of how low-code automation can be used to solve real-world infrastructure problems with minimal configuration.
   
   Get started by importing this workflow into your n8n instance, updating the email credentials and SSH access settings, and let your automation do the heavy lifting.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.