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 (containercpuusagesecondstotal, kubepodcontainerresourcelimits) 🔐 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