fix: increase memory limits for Azure RHEL-AI provisioner task#750
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adrianriobo merged 1 commit intoredhat-developer:mainfrom Mar 25, 2026
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The mapt provisioner container running the Azure RHEL-AI Tekton task is being OOMKilled (exit code 137) when provisioning large Azure VM types. The previous limits (request: 200Mi, limit: 600Mi) are insufficient for the Terraform operations required. Increase memory resources for the `infra-azure-rhel-ai` Tekton task: | | Before | After | |---|---|---| | request | 200Mi | 1Gi | | limit | 600Mi | 2Gi | The request is raised to 1Gi so the scheduler places the pod on a node that can actually sustain the workload. The 2Gi limit provides headroom for spikes during large Azure VM provisioning. - `tkn/template/infra-azure-rhel-ai.yaml` — source template updated - `tkn/infra-azure-rhel-ai.yaml` — regenerated via `make tkn-update` - `tkn/template/infra-azure-rhel.yaml` — source template updated - `tkn/infra-azure-rhel.yaml` — regenerated via `make tkn-update` Signed-off-by: Xiyang Dong <xdong@redhat.com>
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Tested provisioning Azure with the change, now it works with no OOM Kill. |
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The mapt provisioner container running the Azure RHEL-AI Tekton task
is being OOMKilled (exit code 137) when provisioning large Azure VM
types. The previous limits (request: 200Mi, limit: 600Mi) are
insufficient for the Terraform operations required.
Increase memory resources for the
infra-azure-rhel-aiTekton task:The request is raised to 1Gi so the scheduler places the pod on a node
that can actually sustain the workload. The 2Gi limit provides headroom
for spikes during large Azure VM provisioning.
tkn/template/infra-azure-rhel-ai.yaml— source template updatedtkn/infra-azure-rhel-ai.yaml— regenerated viamake tkn-update