How to define a Service Level Objective (SLO) for data processing services using pyrra

[mayasnayak]

Service Level Objective (SLO) for data processing services involves defining measurable targets that indicate how well the service is performing.

Key metrics:

Throughput: The rate at which data is processed, typically measured in records per second, transactions per minute, or similar.
Latency: The time it takes to process a unit of data, measured from the time data enters the system to when it's fully processed.
Error Rate: The percentage of data processing operations that fail, either due to system errors or data issues.
Data Completeness: Ensures that the data processed is complete and accurate.
Data Freshness: The age of the data being processed, ensuring that it meets the required timeliness.

How can I do this using pyrra? If there are any examples for this please share.

[metalmatze]

There are no examples.
This heavily depends on the software used and what exact metrics it exposes. You may need to add some missing metrics.
Unless you can give more details, it's hard to say precisely.