<span id="version" style="color: grey; float: right">Version 1.4.0</span><br/>

# Dataiku Resource Usage Monitoring
Teams responsible for infrastructure related to Dataiku instances can use this solution to monitor, identify bottlenecks and scale it when necessary.

 _In V8, Dataiku released [compute resource usage reporting logs](https://doc.dataiku.com/dss/8.0/release_notes/8.0.html#compute-resource-usage-reporting) that enables the monitoring of the resource down to the project and job level._

# Key outcomes
The project answers several needs, among which: 

## Reliability of services / Capacity planning
This project analyzes the logs to help understand what project/user/activity consumes resources during peak RAM/CPU usage. The end goal is to optimize the computation to make sure the platform is deployed on the right machine (CPU/RAM) or with the right sizing of Kubernetes clusters. 

## Cost Reduction (Finops) / Green AI
This project also analyzes the duration of the computations and the RAM consumption over time in order to monitor costs, whether financial or environmental.

## Investigate usage patterns
You can perform usage pattern, peak usage investigation.