---
title: "The advantages of Grafana Kubernetes Monitoring | Grafana Labs"
description: "Learn about the advantages of Kubernetes Monitoring"
---

> For a curated documentation index, see [llms.txt](/llms.txt). For the complete documentation index, see [llms-full.txt](/llms-full.txt).

# The advantages of Grafana Kubernetes Monitoring

Grafana Kubernetes Monitoring provides the following advantages:

### Priority issues at forefront

The [**Kubernetes Overview** page](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/triage-your-infrastructure/) surfaces what needs triage without making you dig through dashboards. Active issues are grouped into three categories: Availability, Stability, and Infrastructure.

[Issues to triage on the **Kubernetes Overview** home page](/media/docs/grafana-cloud/k8s/k8s-overview-overvw-tab.png)

### Real-time alerts

[Real-time alerts](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/respond-to-alerts/) inform you as soon as problems begin. You can jump from alert to [runbook](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/respond-to-alerts/#use-the-runbooks) for a quick solution, [create](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/respond-to-alerts/#create-an-alert) your own alerts, and [copy](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/respond-to-alerts/#copy-a-preconfigured-alert) a built-in alert to customize it.

### Logs and metrics correlation

While Kubernetes [doesn’t provide a native storage solution](https://kubernetes.io/docs/concepts/cluster-administration/logging/) for logs, Kubernetes Monitoring uses Grafana Loki as its log aggregator. Since Loki and Prometheus share labels, you can correlate metrics and [logs](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/triage-your-infrastructure/troubleshoot-with-built-in-tools/#view-logs-and-events) to identify root causes faster without configuring and using multiple technologies.

### Early error detection

You can use built-in alerting for issues such as CPU throttling to learn which settings need fine tuning. [Network bandwidth and saturation](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/optimize-resource-usage/monitor-resource-usage/) is available by object. The [time range selector](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/optimize-resource-usage/predict-and-analyze-trends/) in Kubernetes Monitoring provides a look into the history of an object, which shows patterns such as spikes. [Outlier Pod detection](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/optimize-resource-usage/monitor-resource-usage/) can find Pods with CPU usage differences that may lead to issues.

### Cost visibility and management

Nodes, load balancers, and Persistent Volumes usually cost extra from your provider, making it important to keep track of them. Auto-scaling architectures let you adapt in real-time to changing demand, but can lead to rapidly rising costs. Kubernetes Monitoring shows [these costs](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/manage-costs/) so you can decide what costs can be reduced. With [cost prediction](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/manage-costs/), you can view potential, future costs.

### Resource efficiency management

You can reduce the risk of an unstable infrastructure by monitoring [resource usage](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/optimize-resource-usage/) to:

- Ensure that there are enough allocated resources and decrease the risk of Pod eviction, as well as prevent declining performance of your microservices and applications.
- Eliminate unused or stranded resources.

Then you can make scheduling adjustments, such as [setting affinities and anti-affinities](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#affinity-and-anti-affinity), to improve performance and reliability.

### Resource usage forecasts

By looking at a [prediction of resource usage](/docs/grafana-cloud/monitor-infrastructure/kubernetes-monitoring/optimize-resource-usage/predict-and-analyze-trends/), you can better forecast for a project or activity.