Send real-time Kubernetes(EKS/GKE/AKS) CPU spike alerts from Prometheus to Slack

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Summary This workflow monitors Kubernetes pod CPU usage using Prometheus, and sends real time Slack alerts when CPU consumption crosses a threshold (e.g., 0.8 cores). It groups pods by applicati...

Best for

DevOps automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.if, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by John Pranay Kumar Reddy.

Original n8n.io source

1.1 Workflow description

Title: Send real-time Kubernetes(EKS/GKE/AKS) CPU spike alerts from Prometheus to Slack
Workflow name: Send real-time Kubernetes(EKS/GKE/AKS) CPU spike alerts from Prometheus to Slack

🧾 Summary

This workflow monitors Kubernetes pod CPU usage using Prometheus, and sends real-time Slack alerts when CPU consumption crosses a threshold (e.g., 0.8 cores). It groups pods by application name to reduce noise and improve clarity, making it ideal for observability across multi-pod deployments like Argo CD, Loki, Promtail, applications etc.

👥 Who’s it for

Designed for DevOps and SRE teams and platform teams, this workflow is 100% no-code, plug-and-play, and can be easily extended to support memory, disk, or network spikes. It eliminates the need for Alertmanager by routing critical alerts directly into Slack using native n8n nodes.

⚙️ What it does

This n8n workflow polls Prometheus every 5 minutes ⏱️, checks if any pod's CPU usage crosses a defined threshold (e.g., 0.8 cores) 🚨, groups them by app 🧩, and sends structured alerts to a Slack channel 💬.

🛠️ How to set up

🔗 Set your Prometheus URL with required metrics (container_cpu_usage_seconds_total, kube_pod_container_resource_limits)

🔐 Add your Slack bot token with chat:write scope

🧩 Import the workflow, customize:

Threshold (e.g., 0.8 cores)

Slack channel

Cron schedule

📋 Requirements

A working Prometheus stack with kube-state-metrics
Slack bot credentials
n8n instance (self-hosted or cloud)

🧑‍💻 How to customize

🧠 Adjust threshold values or query interval

📈 Add memory/disk/network usage metrics

💡 This is a plug-and-play Kubernetes alerting template for real-time observability.

🏷️ Tags:

Prometheus, Slack, Kubernetes, Alert, n8n, DevOps, Observability, CPU Spike, Monitoring

Prometheus Spike Alert to Slack

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - 🕒 Every 5 Min Trigger

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.2

Block 2 - 📤 Send Alerts to Slack

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 3 - Format Prometheus JSON

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 4 - Check Number of Pods in Group

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 5 - Format Batched Slack Message

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 6 - Format Single Pod Slack Message

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 7 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Query Prometheus for CPU Spikes

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 12 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Sticky Note6

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 15 - Sticky Note7

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Send real-time Kubernetes(EKS/GKE/AKS) CPU spike alerts from Prometheus to Slack
Complexity	advanced
Nodes	15
Categories	DevOps, Multimodal AI
Author	John Pranay Kumar Reddy
Published	07 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7145/7145.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source DevOps workflows Multimodal AI workflows

Frequently asked questions

What does Send real-time Kubernetes(EKS/GKE/AKS) CPU spike alerts from Prometheus to Slack do?

Summary This workflow monitors Kubernetes pod CPU usage using Prometheus, and sends real time Slack alerts when CPU consumption crosses a threshold (e.g., 0.8 cores). It groups pods by applicati...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your DevOps, Multimodal AI use case.

John Pranay Kumar Reddy

4 workflows

Nodes

n8n-nodes-base.scheduletrigger n8n-nodes-base.httprequest n8n-nodes-base.code n8n-nodes-base.if n8n-nodes-base.stickynote

Complexity

advanced

Published 07 Aug 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/7145/7145.json

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Send real-time Kubernetes(EKS/GKE/AKS) CPU spike alerts from Prometheus to Slack

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🧾 Summary

👥 Who’s it for

⚙️ What it does

🛠️ How to set up

📋 Requirements

🧑‍💻 How to customize

🏷️ Tags:

Prometheus Spike Alert to Slack

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - 🕒 Every 5 Min Trigger

Block 2 - 📤 Send Alerts to Slack

Block 3 - Format Prometheus JSON

Block 4 - Check Number of Pods in Group

Block 5 - Format Batched Slack Message

Block 6 - Format Single Pod Slack Message

Block 7 - Sticky Note

Block 8 - Sticky Note1

Block 9 - Sticky Note2

Block 10 - Sticky Note3

Block 11 - Query Prometheus for CPU Spikes

Block 12 - Sticky Note4

Block 13 - Sticky Note5

Block 14 - Sticky Note6

Block 15 - Sticky Note7

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions