Azure Data Factory Integrated Runtimes running with status "Running (Limited" what does it mean and how to resolve it?

Fadi Alzebdeh 30 Reputation points
2024-04-01T09:58:43.5033333+00:00

Azure Data Factory Integrated Runtimes running with status "Running (Limited" what does it mean and how to resolve it?

Azure Data Factory
Azure Data Factory
An Azure service for ingesting, preparing, and transforming data at scale.
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  1. Smaran Thoomu 24,110 Reputation points Microsoft External Staff Moderator
    2024-04-01T11:18:12.2233333+00:00

    Hi @Fadi Alzebdeh

    Thanks for reaching out to Microsoft Q&A.

    When an Azure Data Factory (ADF) Integrated Runtime is running with status "Running (Limited)", it means that the runtime is running in a limited capacity due to resource constraints. This can happen when the runtime is running on a machine with limited resources, such as CPU or memory, or when there are other processes running on the machine that are competing for resources.

    To resolve this issue, you can try the following steps:

    1. Check the resource utilization: Check the resource utilization of the machine running the Integrated Runtime. You can use the Azure portal or other monitoring tools to monitor the CPU and memory usage of the machine. If the machine is running at or near capacity, you may need to allocate more resources to the machine or move the runtime to a machine with more resources.
    2. Check for competing processes: Check for other processes running on the machine that may be competing for resources with the Integrated Runtime. You can use the Task Manager or other monitoring tools to identify processes that are consuming CPU or memory resources. If there are other processes running that are not necessary, you may need to stop or disable them to free up resources for the Integrated Runtime.
    3. Optimize the runtime configuration: You can optimize the configuration of the Integrated Runtime to reduce its resource usage. For example, you can reduce the number of concurrent pipelines or activities running on the runtime, or you can optimize the data flow transformations to reduce their memory usage.
    4. Scale up or out: If the above steps do not resolve the issue, you may need to scale up or out the resources used by the Integrated Runtime. For example, you can increase the size of the machine running the runtime, or you can add more machines to the runtime to distribute the workload.

    Follow the official documentation with detailed steps for Troubleshooting error message: Self-hosted integration runtime node/logical self-hosted IR is in Inactive/ "Running (Limited)" state.

    Hope this helps. Do let us know if you any further queries.


    If this answers your query, do click Accept Answer and Yes for was this answer helpful. And, if you have any further query do let us know.

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  1. Fadi Alzebdeh 30 Reputation points
    2024-04-02T06:20:49.2733333+00:00

    Hello,

    We followed the article and could find the error, we restarted only the integrated runtime services and it shows that the status is "running", we will monitor it for some time to make sure that the error is no more there.


  2. Smaran Thoomu 24,110 Reputation points Microsoft External Staff Moderator
    2024-04-02T06:55:02.6866667+00:00

    Hi @Fadi Alzebdeh

    I'm glad that you were able to resolve your issue and thank you for posting your solution so that others experiencing the same thing can easily reference this! Since the Microsoft Q&A community has a policy that "The question author cannot accept their own answer. They can only accept answers by others ", I'll repost your solution in case you'd like to accept the answer .

    Issue: Azure Data Factory Integrated Runtimes running with status "Running (Limited" what does it mean and how to resolve it?

    Solution: We followed the article and could find the error, we restarted only the integrated runtime services, and it shows that the status is "running".

    If I missed anything please let me know and I'd be happy to add it to my answer, or feel free to comment below with any additional information.

    I hope this helps!

    If you have any other questions, please let me know. Thank you again for your time and patience throughout this issue.


    Please don’t forget to Accept Answer and Yes for "was this answer helpful" wherever the information provided helps you, this can be beneficial to other community members.

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