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Update README.md #4

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6 changes: 3 additions & 3 deletions labs/lab3/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -59,15 +59,15 @@ print(response)
# Compose Slice-Level KPIs (1/2)


We've already explored examples of slice-level metrics, like `slice_throughput`, as we saw in our Grafana dashboard.
We have already explored examples of slice-level metrics, like `slice_throughput`, as we saw in our Grafana dashboard.

Monarch's KPI computation module leverages the Python HTTP API to query raw metrics, calculate KPIs at the slice level, and store them back in a `data_store`, making them accessible for visualization in Grafana.
Monarch's KPI computation module leverages the Python HTTP API to query raw metrics, calculates KPIs at the slice level, and stores them back in a `data_store`, making them accessible for visualization in Grafana.



**Task**:
- Task 3 of [exercise.py](exercise.py) dives deeper into composing slice-level metrics, specifically focusing on calculating resource utilization for slice 1 (with `SNSSAI=1-000001`).
- You'll combine multiple queries to determine memory usage, providing a practical understanding of how to build KPIs from various metric sources.
- You will combine multiple queries to determine memory usage, providing a practical understanding of how to build KPIs from various metric sources.

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# Compose Slice-Level KPIs (2/2)
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