> ## Documentation Index
> Fetch the complete documentation index at: https://notes.kodekloud.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Summary

> This article compares Azure Container Insights and Prometheus + Grafana for monitoring Azure Kubernetes Service.

In this lesson, we compared two leading monitoring solutions for Azure Kubernetes Service (AKS):

* **Azure Container Insights** – an integrated, managed service in Azure Monitor
* **Prometheus + Grafana** – an open-source monitoring stack for full control

Choosing the right approach comes down to your priorities: ease of setup, customization depth, maintenance overhead, and cost.

***

## 1. Azure Container Insights

Azure Container Insights delivers end-to-end visibility into your AKS clusters with minimal configuration. Key capabilities include:

* Automatic collection of CPU, memory, and network metrics
* Container-level logs and performance telemetry
* Built-in queries and visualizations in Azure Monitor
* Seamless integration with Azure Alerts and Workbooks

<Callout icon="lightbulb" color="#1CB2FE">
  Container Insights is fully managed by Azure Monitor. You incur data ingestion and retention charges, but you avoid operating your own monitoring infrastructure.
</Callout>

Learn more: [Container Insights overview](https://learn.microsoft.com/azure/azure-monitor/containers/container-insights-overview)

***

## 2. Prometheus + Grafana

The Prometheus + Grafana stack is a popular open-source alternative that emphasizes flexibility:

* **Prometheus**\
  • Scrapes time-series metrics from AKS, nodes, and custom exporters\
  • Built-in Alertmanager for defining alert rules and notifications

* **Grafana**\
  • Connects to Prometheus (and other datasources)\
  • Provides interactive dashboards with rich visualizations\
  • Supports annotations, templating, and provisioning

<Callout icon="triangle-alert" color="#FF6B6B">
  Running Prometheus and Grafana requires provisioning, scaling, and maintaining storage for long-term metrics. Ensure you plan for high-availability and backup.
</Callout>

Explore more:

* [Prometheus documentation](https://prometheus.io/docs/introduction/overview/)
* [Grafana documentation](https://grafana.com/docs/)

***

## 3. Feature Comparison

| Feature          | Container Insights                              | Prometheus + Grafana                              |
| ---------------- | ----------------------------------------------- | ------------------------------------------------- |
| Setup Complexity | Low (Azure-managed)                             | Medium to high (self-managed)                     |
| Customization    | Azure Monitor queries & Workbooks               | Full Grafana dashboard and alerting customization |
| Maintenance      | Managed by Azure                                | You manage upgrades, scaling, and storage         |
| Data Retention   | Default 30 days (configurable in Azure Monitor) | Configurable via remote write or object storage   |
| Alerting         | Azure Alerts integration                        | Prometheus Alertmanager and Grafana Alerting      |
| Cost Model       | Pay for data ingestion & retention              | Infrastructure + storage costs (or Grafana Cloud) |

***

## 4. Next Steps

In the next module, we will survey all Azure platforms capable of hosting container workloads, including:

* Azure Container Instances
* Azure App Service for Containers
* Azure Red Hat OpenShift

Stay tuned!

***

## Links and References

* [Azure Kubernetes Service (AKS)](https://azure.microsoft.com/services/kubernetes-service/)
* [Azure Monitor Documentation](https://learn.microsoft.com/azure/azure-monitor/)
* [Docker Hub](https://hub.docker.com/)
* [Terraform Registry](https://registry.terraform.io/)

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