Case Study: n8n Workflow Automation

📌 Challenge

Manual processes were causing multiple problems:

Security alerts via email — easily missed, no instant notification
Daily security reports took 30-60 minutes to compile manually
Connecting different systems required custom scripts, hard to maintain
Inconsistent processes — everyone worked differently

🛠 Solution

n8n on Docker with Postgres

Deployed n8n workflow engine as Docker containers with PostgreSQL backend. Ready to scale horizontally, easy backup/restore.

Workflow 1: Wazuh Alert → Telegram

When Wazuh detects new vulnerabilities or anomalies, n8n receives webhook, processes data (severity classification, CVE extraction), formats message, sends real-time Telegram alert with reference links.

Workflow 2: Daily Security Report

Every morning at 07:00 ICT, n8n runs: queries Wazuh Indexer (OpenSearch) for new vulnerabilities, queries Zabbix for peak metrics, generates concise report, sends via Telegram.

Workflow 3: Webhook Bridge

Bridge between incompatible systems. Receives data from system A via webhook, transforms format (JSON/XML/CSV), sends to system B. Error handling, retry, full logging.

🏆 Results

✓
80% reduction in manual operations — no more manual report compilation or alert forwarding
✓
10x faster incident detection — from 30-60 minutes down to seconds
✓
Automated on-time reports — 07:00 daily, never missed a day
✓
Consistent, scalable processes — create new workflows with drag-and-drop

💼 Technology Stack

n8n Docker PostgreSQL Wazuh OpenSearch Telegram Bot API Webhook

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