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https://github.com/fatimajamali81/k8-monitoring-with-prometheus-and-grafana
Monitoring solution for a Kubernetes cluster using Prometheus and Grafana.
https://github.com/fatimajamali81/k8-monitoring-with-prometheus-and-grafana
grafana kubernetes-cluster monitoring prometheus
Last synced: about 2 months ago
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Monitoring solution for a Kubernetes cluster using Prometheus and Grafana.
- Host: GitHub
- URL: https://github.com/fatimajamali81/k8-monitoring-with-prometheus-and-grafana
- Owner: fatimajamali81
- Created: 2024-07-21T15:37:39.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-07-23T12:37:35.000Z (5 months ago)
- Last Synced: 2024-10-18T08:56:56.350Z (2 months ago)
- Topics: grafana, kubernetes-cluster, monitoring, prometheus
- Homepage:
- Size: 16.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Kubernetes Monitoring with Prometheus and Grafana
This project sets up a monitoring solution for a Kubernetes cluster using Prometheus and Grafana. It visualizes metrics such as CPU usage, memory consumption, and pod status.
## Components
### Prometheus
Prometheus is an open-source systems monitoring and alerting toolkit. In this setup, Prometheus collects metrics from the Kubernetes cluster and its components.
- **prometheus/configmap.yaml**: Defines the Prometheus configuration. It includes scrape configurations for collecting metrics from Kubernetes nodes and pods.
- **prometheus/deployment.yaml**: Deploys Prometheus as a single-instance deployment.
- **prometheus/service.yaml**: Exposes Prometheus on a NodePort for external access.
### Node Exporter
Node Exporter is a Prometheus exporter for hardware and OS metrics exposed by *nix kernels. It's deployed as a DaemonSet to ensure an instance runs on each node.
- **node-exporter/daemonset.yaml**: Deploys Node Exporter as a DaemonSet to collect node-level metrics.
- **node-exporter/service.yaml**: Exposes Node Exporter metrics on a NodePort for Prometheus to scrape.
### Grafana
Grafana is an open-source platform for monitoring and observability. It allows users to query, visualize, alert on, and explore metrics and logs.
- **grafana/configmap.yaml**: Defines Grafana's data source configuration. It sets up Prometheus as the default data source.
- **grafana/deployment.yaml**: Deploys Grafana as a single-instance deployment.
- **grafana/service.yaml**: Exposes Grafana on a NodePort for external access.
## Setup
### Prometheus
1. Apply Prometheus configuration:
```sh
kubectl apply -f manifests/prometheus/configmap.yaml
```
2. Deploy Prometheus:
```sh
kubectl apply -f manifests/prometheus/deployment.yaml
kubectl apply -f manifests/prometheus/service.yaml
```
### Node Exporter
1. Deploy Node Exporter:
```sh
kubectl apply -f manifests/node-exporter/daemonset.yaml
kubectl apply -f manifests/node-exporter/service.yaml
```
### Grafana
1. Apply Grafana configuration:
```sh
kubectl apply -f manifests/grafana/configmap.yaml
```
2. Deploy Grafana:
```sh
kubectl apply -f manifests/grafana/deployment.yaml
kubectl apply -f manifests/grafana/service.yaml
```
## Accessing the Dashboards
- **Prometheus**: Accessible at `http://:32001`
- **Grafana**: Accessible at `http://:32000`
## Adding Grafana Dashboards
1. Login to Grafana (default credentials: `admin/admin`).
2. Configure the Prometheus data source (it should already be configured via the ConfigMap).
3. Import pre-built dashboards or create your own to visualize metrics.
## Conclusion
This setup provides a simple yet effective monitoring solution for Kubernetes clusters using Prometheus and Grafana. You can expand and customize this solution based on your monitoring needs.
## License
This project is licensed under the MIT License.