This article provides a complete, practical walkthrough of the Redis Code Create Webhook 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: Automating Real-Time Ticket Alerts to Microsoft Teams with n8n
   
   Meta Description:
   Discover how to automate ConnectWise ticket alerts and streamline communication with your dispatch team using an n8n workflow that integrates Microsoft Teams, Redis, and HTTP-based authentication.
   
   Keywords:
   n8n, ConnectWise, Microsoft Teams, Redis, automation, ticketing system, workflow automation, help desk alerts, real-time ticket monitoring, IT operations, dispatch notifications, support tickets
   
   Article:
   
   Automating Ticket Notifications to Microsoft Teams with n8n
   
   In fast-paced IT operations environments, swiftly notifying the right teams about new support tickets is critical to ensuring high service levels. Manual ticket triage or delayed escalations can negatively impact SLA performance and customer satisfaction. Fortunately, with modern automation tools like n8n, you can easily design powerful workflows that bridge your ticketing platform and collaboration tools.
   
   In this article, we’ll explore a production-ready n8n workflow that monitors a ConnectWise ticketing system, filters out already-alerted tickets using Redis, groups tickets by company, and notifies your dispatch team via Microsoft Teams—automatically and in near real time.
   
   Overview of the Workflow
   
   The n8n workflow, titled “New Ticket Alerts to Teams,” is designed to execute every weekday (Monday through Friday) from 8:00 AM to 4:59 PM, at one-minute intervals. Here's a breakdown of its steps:
   
   1. Schedule Trigger (Cron-based)
   The process kicks off with a Schedule Trigger node set to run every minute during business hours on weekdays. This ensures that your team is notified in near real time of any incoming tickets without overloading the system.
   
   2. Pull New Tickets from ConnectWise
   The next step is a highly specific HTTP request to the ConnectWise API. It pulls all tickets with a “New,” “New (email),” or “New (portal)” status while excluding child tickets (i.e., ensuring only standalone entries are checked). It filters tickets by relevant boards (IDs 1, 25, 26, and 28), streamlining the data to what matters most to the dispatchers. Headers include a client ID for ConnectWise API authentication.
   
   3. Add Filterable Parameter for Redis Matching
   The retrieved tickets are fed into a JavaScript code node that ensures ticket IDs are properly formatted and introduces a new field named “FilterOnThis” for use during the filtering phase. This allows comparison with Redis-stored ticket IDs to check if an alert has already been sent.
   
   4. Query Redis to Identify Already-Sent Tickets
   Each ticket ID is then queried in a Redis instance using the Redis GET operation. If the ticket ID exists in Redis, it means an alert has already been sent.
   
   5. Filter Out Already Logged Tickets
   A Merge node performs a fuzzy comparison between the current ticket data (via the “FilterOnThis” field) and Redis results (via “Tickets”). The logic is set to keep only unmatched items—effectively filtering out tickets that were previously alerted.
   
   6. Group Tickets by Company and Site
   To reduce message overload, the next JavaScript code node groups open tickets by customer (identified by “companyName” and “siteName”). It concatenates ticket summaries into a readable string with HTML line breaks. If multiple types of tickets are detected for the same company and site, they're combined and noted accordingly.
   
   7. Send Alerts to Microsoft Teams
   The formatted ticket summaries are then dispatched to a designated Microsoft Teams chat using the Teams API. The message includes:
   - Ticket type(s)
   - Aggregated ticket list
   - Company name
   This allows the dispatch team to take immediate action without digging through multiple sources.
   
   8. Log Ticket IDs in Redis
   Finally, each ticket that triggers a Teams message is logged into Redis using the SET operation. This prevents future duplications in alerts for the same ticket.
   
   Why This Workflow Matters
   
   This workflow offers several key benefits:
   
   ⏱ Real-time monitoring:
   By polling ConnectWise every minute during business hours, you ensure fast, consistent ticket triage.
   
   📨 Reduced alert fatigue:
   Tickets are grouped by company and site to avoid flooding Teams with one message per ticket.
   
   ♻️ De-duplication logic:
   Redis ensures each ticket is only sent once to Teams, boosting alert signal and minimizing noise.
   
   🔧 Customizability:
   You can easily expand the conditions (e.g., severity filtering), change teams or channels, or add escalations through email or Slack.
   
   Third-party APIs Used
   
   Here are the external APIs integrated into this n8n workflow:
   
   1. ConnectWise REST API
   Used via the HTTP Request node to fetch “New” tickets from specific boards. Standard HTTP header authentication is used, with a client ID for validation.
   
   2. Microsoft Teams API (Graph API)
   The Microsoft Teams node sends formatted HTML messages to a specific chat ID, notifying the dispatch team of new tickets.
   
   3. Redis (via n8n Redis Node)
   Used for both retrieving and logging ticket IDs to prevent duplicate alerts and provide ticket state persistence.
   
   Conclusion
   
   With a relatively small number of nodes, this n8n workflow automates critical ticket notification processes—turning what could be manual and error-prone into a foolproof, efficient system. It’s a great example of how workflow automation tools like n8n can help modern IT teams stay responsive, lean, and focused.
   
   Whether you’re an MSP, internal IT department, or platform engineering team, adopting this workflow can immediately boost your operational responsiveness while reducing manual effort and process delays.
   
   Test it, expand it, and make it your own.
   
   Happy automating!

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.