Monitor K8s Services & Pods with Prometheus Alerts to Slack
Proactively monitors Kubernetes pods and services via Prometheus for issues like pending pods, not-ready containers, restart spikes, and endpoint changes, sending formatted Slack alerts.
This n8n workflow automates Kubernetes monitoring by querying Prometheus metrics every 5 minutes for critical issues: pods stuck in Pending state (due to scheduling problems like taints or capacity), containers failing readiness probes (Not Ready), sudden restart spikes over a 5-minute window, and service endpoint discovery changes (count diffs from snapshots). It aggregates findings into clean, emoji-enhanced Slack messages with full context on namespaces, pods, and services, including a summary block to minimize alert fatigue.
Benefits include real-time SRE/DevOps observability without custom scripts, reducing MTTR for cluster issues. It leverages kube-state-metrics for reliable pod/service data, supports optional Prometheus auth, and requires only Slack credentials. Ideal for production K8s environments to catch problems early.
Use cases: Multi-tenant clusters needing proactive alerting, hybrid cloud setups with Prometheus federation, or teams shifting left on ops with automated notifications. Outputs reduce noise while providing actionable details for quick triage.
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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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