<h2 id="heading-understanding-the-efk-stack">Understanding the EFK Stack</h2>
<p>The EFK stack collects, stores, and visualizes logs from applications running in Kubernetes.</p>
<h3 id="heading-components">Components:</h3>
<ul>
<li><p><strong>Elasticsearch</strong> : Stores and indexes log data for quick searching.</p>
</li>
<li><p><strong>Fluentd</strong> : Collects and forwards logs to Elasticsearch.</p>
</li>
<li><p><strong>Kibana</strong> : Provides visualizations and analytics for logs.</p>
</li>
</ul>
<h3 id="heading-why-efk">Why EFK?</h3>
<ul>
<li><p><strong>Centralized Logging</strong>: Aggregates logs from all nodes and pods.</p>
</li>
<li><p><strong>Scalability</strong>: Handles large amounts of log data.</p>
</li>
<li><p><strong>Visualization</strong>: Kibana provides dashboards for log analysis.</p>
</li>
</ul>
<h2 id="heading-commonalities-among-efk-components">Commonalities Among EFK Components</h2>
<div class="hn-table">
<table>
<thead>
<tr>
<td><strong>Component</strong></td><td><strong>Role</strong></td><td><strong>Default Port</strong></td></tr>
</thead>
<tbody>
<tr>
<td>Elasticsearch</td><td>Stores &amp; indexes logs</td><td>9200</td></tr>
<tr>
<td>Fluentd</td><td>Collects &amp; ships logs</td><td>N/A</td></tr>
<tr>
<td>Kibana</td><td>Visualizes logs</td><td>5601</td></tr>
</tbody>
</table>
</div><h2 id="heading-conclusion">Conclusion</h2>
<p>The EFK stack provides a <strong>scalable, efficient, and centralized logging solution</strong> for Kubernetes environments. By deploying <strong>Elasticsearch, Fluentd, and Kibana</strong>, organizations can streamline log management, monitor system performance, and troubleshoot efficiently.</p>


## Understanding the EFK Stack

The EFK stack collects, stores, and visualizes logs from applications running in Kubernetes.

### Components:

* **Elasticsearch** : Stores and indexes log data for quick searching.
    
* **Fluentd** : Collects and forwards logs to Elasticsearch.
    
* **Kibana** : Provides visualizations and analytics for logs.
    

### Why EFK?

* **Centralized Logging**: Aggregates logs from all nodes and pods.
    
* **Scalability**: Handles large amounts of log data.
    
* **Visualization**: Kibana provides dashboards for log analysis.
    

## Commonalities Among EFK Components

| **Component** | **Role** | **Default Port** |
| --- | --- | --- |
| Elasticsearch | Stores & indexes logs | 9200 |
| Fluentd | Collects & ships logs | N/A |
| Kibana | Visualizes logs | 5601 |

## Conclusion

The EFK stack provides a **scalable, efficient, and centralized logging solution** for Kubernetes environments. By deploying **Elasticsearch, Fluentd, and Kibana**, organizations can streamline log management, monitor system performance, and troubleshoot efficiently.

Component	Role	Default Port
Elasticsearch	Stores & indexes logs	9200
Fluentd	Collects & ships logs	N/A
Kibana	Visualizes logs	5601

EFK on Kubernetes - Introduction

Understanding the EFK Stack

Components:

Why EFK?

Commonalities Among EFK Components

Conclusion