How to fix The node was low on resource: memory. Threshold quantity: 100Mi, available: 43180Ki

Rajnish Sharma 1 Reputation point
2025-04-01T13:25:06.1966667+00:00

Warning Evicted 6m36s kubelet The node was low on resource: memory. Threshold quantity: 100Mi, available: 43180Ki. Container patient-scheduling was using 1681736Ki, request is 0, has larger consumption of memory. Normal Killing 6m36s kubelet Stopping container <container name>

Azure Kubernetes Service
Azure Kubernetes Service
An Azure service that provides serverless Kubernetes, an integrated continuous integration and continuous delivery experience, and enterprise-grade security and governance.
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  1. LISBOA-4826 245 Reputation points Volunteer Moderator
    2025-04-01T21:10:54.54+00:00

    Hi Rajnish Sharma

    Welcome to the Microsoft Q&A Platform! Thank you for asking your question here.

    When working with AKS cluster, the best practice is to setup Limits for the POD's defining pod resource requests and limits.

    Please have a look on this detailed documentation.

    https://learn.microsoft.com/en-us/azure/aks/developer-best-practices-resource-management

    Please do not forget to "Accept the answer” and “up-vote” wherever the information provided helps you, this can be beneficial to other community members.

    If you have any other questions or are still running into more issues, let me know in the "comments" and I would be happy to help you.

    Thank You.

    Lisboa

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  2. Pramidha Yathipathi 1,135 Reputation points Microsoft External Staff Moderator
    2025-04-02T12:14:53.9033333+00:00

    Hi Rajnish Sharma,

    Configure memory requests and limits in the pods specification to prevent excessive consumption.

    Monitor node utilization and scale up resources if needed.

    Ensure the cluster has a sufficient number of nodes to handle workloads effectively.

    https://learn.microsoft.com/en-us/azure/aks/developer-best-practices-resource-management

    https://learn.microsoft.com/en-us/azure/aks/node-resource-reservations

    If the comment was helpful, please don't forget to click "Upvote".

    If the issue still persist or any further queries, please let us know we are glad to help you.

    Thank You.

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