Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

Flyte

What's the best way to put a hard limit the number of pods that Flyte &amp; SparkOperator will spin up? (let's say we have some vCPU limit of 100 or something)

like this ?
```defaults:
    cpu: "1"
    memory: 150Mi
limits:
    cpu: "2"
    memory: 450Mi
project: flyteexamples
domain: development ```

No this is default cpu etc per task if unspecified and limits

this file for cluster resources
```attributes:
    projectQuotaCpu: "1000"
    projectQuotaMemory: 5TB
domain: development
project: flyteexamples```

Ya <https://github.com/flyteorg/flyte/blob/eda59876fb695b7b96af34422f0ee84c835ab575/charts/flyte-core/values.yaml#L737|https://github.com/flyteorg/flyte/blob/eda59876fb695b7b96af34422f0ee84c835ab575/charts/flyte-core/values.yaml#L737>

great thanks, just making sure that's the best way

Ya it should be and Flyte should start respecting it

There is some stuff that community is working on