Automate Kubernetes Monitoring and Alerting with Prometheus and Slack
Monitor Kubernetes services and pods for issues using Prometheus, and send formatted alerts to Slack. This workflow helps maintain cluster health by detecting service changes and pod anomalies.
This workflow automates the monitoring of Kubernetes clusters by querying Prometheus for various pod and service metrics every 5 minutes. It detects issues such as pods stuck in Pending state, containers not ready, and restart spikes. The data is normalized and summarized before sending detailed alerts to a Slack channel, helping DevOps teams respond promptly to potential problems.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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