# Monitoring

Obsrv offers a robust monitoring system to monitor the performance and health of the entire system. The infrastructure, application and service components are all configured to emit metrics and logs. Obsrv uses Prometheus as the default metric aggregation system and Grafana Loki as the default log aggregation system from various components.

<figure><img src="/files/LoXpFm9d3cID35aEVk5c" alt=""><figcaption><p>Obsrv Monitoring Stack</p></figcaption></figure>

### Infrastructure Health and Usage <a href="#kjfbsjshwi01" id="kjfbsjshwi01"></a>

Obsrv provides a way to monitor the health and usage of three main aspects of the entire infrastructure, viz. This provides the capability to analyze and intelligently optimize the infrastructure usage according to the workloads in the cluster.

1. CPU usage
2. Disk usage
3. Memory usage

### Observability Segregation <a href="#id-539d3zbuepvu" id="id-539d3zbuepvu"></a>

Obsrv provides an ability to categorize the various infrastructure and application services based on functionality such as Ingestion, Processing, Storage and Querying. This categorization helps in aggregation of metrics at various functional component levels and helps in providing an easy and insightful way for the operations team to understand incidents or performance degradation.

### Full Text Search on Logs <a href="#id-4dku8r653uao" id="id-4dku8r653uao"></a>

Debuggability and traceability are important tools to ensure a non-intrusive way to understand application failures. Obsrv provides an ability to seamlessly search for errors encountered in various applications and services. Obsrv aggregates logs from multiple services using Promtail and Grafana Loki and provides a unified interface on Grafana to perform analysis on logs and understand failures.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://obsrv.sunbird.org/core-concepts/monitoring.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.