Kubernetes Infrastructure Monitoring

Kubernetes Cluster
Monitoring

Total Capacity Planning, Control Plane Health & Cluster Events

Stop guessing about your Kubernetes capacity. BigBell monitors your entire cluster holistically, tracking aggregate CPU/Memory, alerting on critical control plane errors, and identifying sprawling infrastructure waste.

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Overview

What is Kubernetes Cluster Monitoring?

Kubernetes Cluster monitoring provides a macro-level view of your container orchestration environment. Rather than focusing on individual pods, it aggregates metrics across the entire cluster. It tracks total allocatable CPU and Memory against currently requested resources, monitors the health of the Kubernetes control plane (API server, etcd, scheduler), and listens for cluster-wide Warning events.

Why Kubernetes Cluster Monitoring Matters

A Kubernetes cluster can appear healthy at the micro-level (all pods are running), but be dangerously close to failure at the macro-level. If your cluster reaches 95% resource saturation, it won't be able to handle a node failure or a sudden deployment scale-up. Cluster monitoring is essential for capacity planning, ensuring you have enough headroom for failover, and for detecting systemic issues like a failing etcd database that affects all API operations.

✓Prevent major outages by tracking cluster-wide resource saturation
✓Optimize cloud costs by identifying massively over-provisioned clusters
✓Ensure High Availability (HA) by monitoring control plane components
✓Consolidate multiple K8s clusters (dev, staging, prod) into one dashboard

Core Use Cases

Essential for Platform Engineering teams responsible for providing stable Kubernetes environments to multiple developer teams, and FinOps teams who need to understand total cluster utilization to justify cloud spending.

Features

Complete Cluster Monitoring Capabilities

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Capacity Visualization

Graph Total Allocatable vs Total Requested resources to instantly see if your cluster is out of space.

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Control Plane Health

Monitor the latency of the Kubernetes API Server and the health of the etcd key-value store.

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Event Stream Analysis

Ingest and alert on critical Kubernetes Events (like NodeNotReady or FailedScheduling) in real time.

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Saturation Alerts

Get notified before your cluster hits 100% capacity so you can scale out new worker nodes in time.

FAQ

Frequently Asked Questions

BigBell integrates directly with kube-state-metrics and the Kubernetes API to gather holistic cluster data, alongside agent-level node data.

Yes, BigBell fully supports monitoring managed Kubernetes clusters across AWS, Azure, and Google Cloud.

Kubernetes schedules pods based on Requests, not actual usage. If your cluster is fully 'Requested', Kubernetes will refuse to schedule new pods, even if actual CPU usage is near zero.

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