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Yandex Managed Service for Apache Kafka®
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    • All guides
      • Information about existing clusters
      • Creating a cluster
      • Updating cluster settings
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In this article:

  • Stopping a cluster
  • Starting a cluster
  1. Step-by-step guides
  2. Clusters
  3. Stopping and starting a cluster

Stopping and starting an Apache Kafka® cluster

Written by
Yandex Cloud
Updated at January 22, 2026
  • Stopping a cluster
  • Starting a cluster

You can stop and restart an Apache Kafka® cluster as needed. When stopped, a cluster retains all its data. The data will be available again as soon as you restart the cluster.

Stopping a clusterStopping a cluster

Management console
CLI
REST API
gRPC API
  1. In the management console, navigate to the relevant folder.
  2. Go to Managed Service for Kafka.
  3. Find the cluster in the list, click , and select Stop.
  4. In the dialog box that opens, confirm that you want to stop the cluster and click Stop.

If you do not have the Yandex Cloud CLI installed yet, install and initialize it.

By default, the CLI uses the folder specified when creating the profile. To change the default folder, use the yc config set folder-id <folder_ID> command. You can also set a different folder for any specific command using the --folder-name or --folder-id parameter.

To stop a cluster, run this command:

yc managed-kafka cluster stop <cluster_name_or_ID>
  1. Get an IAM token for API authentication and put it into an environment variable:

    export IAM_TOKEN="<IAM_token>"
    
  2. Call the Cluster.stop method, e.g., via the following cURL request:

    curl \
      --request POST \
      --header "Authorization: Bearer $IAM_TOKEN" \
      --url 'https://mdb.api.cloud.yandex.net/managed-kafka/v1/clusters/<cluster_ID>:stop'
    

    You can get the cluster ID from the folder’s cluster list.

  3. View the server response to make sure your request was successful.

  1. Get an IAM token for API authentication and put it into an environment variable:

    export IAM_TOKEN="<IAM_token>"
    
  2. Clone the cloudapi repository:

    cd ~/ && git clone --depth=1 https://github.com/yandex-cloud/cloudapi
    

    Below, we assume that the repository contents reside in the ~/cloudapi/ directory.

  3. Call the ClusterService/Stop method, e.g., via the following gRPCurl request:

    grpcurl \
      -format json \
      -import-path ~/cloudapi/ \
      -import-path ~/cloudapi/third_party/googleapis/ \
      -proto ~/cloudapi/yandex/cloud/mdb/kafka/v1/cluster_service.proto \
      -rpc-header "Authorization: Bearer $IAM_TOKEN" \
      -d '{
            "cluster_id": "<cluster_ID>"
          }' \
      mdb.api.cloud.yandex.net:443 \
      yandex.cloud.mdb.kafka.v1.ClusterService.Stop
    

    You can request the cluster ID with the list of clusters in the folder.

  4. View the server response to make sure your request was successful.

Starting a clusterStarting a cluster

You can restart clusters with the Stopped status.

Management console
CLI
REST API
gRPC API
  1. In the management console, navigate to the relevant folder.
  2. Go to Managed Service for Kafka.
  3. Find the stopped cluster you need in the list, click , and select Start.
  4. In the dialog box that opens, click Start.

If you do not have the Yandex Cloud CLI installed yet, install and initialize it.

By default, the CLI uses the folder specified when creating the profile. To change the default folder, use the yc config set folder-id <folder_ID> command. You can also set a different folder for any specific command using the --folder-name or --folder-id parameter.

To start a cluster, run this command:

yc managed-kafka cluster start <cluster_name_or_ID>
  1. Get an IAM token for API authentication and put it into an environment variable:

    export IAM_TOKEN="<IAM_token>"
    
  2. Call the Cluster.start method, e.g., via the following cURL request:

    curl \
      --request POST \
      --header "Authorization: Bearer $IAM_TOKEN" \
      --url 'https://mdb.api.cloud.yandex.net/managed-kafka/v1/clusters/<cluster_ID>:start'
    

    You can request the cluster ID with the list of clusters in the folder.

  3. View the server response to make sure your request was successful.

  1. Get an IAM token for API authentication and put it into an environment variable:

    export IAM_TOKEN="<IAM_token>"
    
  2. Clone the cloudapi repository:

    cd ~/ && git clone --depth=1 https://github.com/yandex-cloud/cloudapi
    

    Below, we assume that the repository contents reside in the ~/cloudapi/ directory.

  3. Call the ClusterService/Start method, e.g., via the following gRPCurl request:

    grpcurl \
      -format json \
      -import-path ~/cloudapi/ \
      -import-path ~/cloudapi/third_party/googleapis/ \
      -proto ~/cloudapi/yandex/cloud/mdb/kafka/v1/cluster_service.proto \
      -rpc-header "Authorization: Bearer $IAM_TOKEN" \
      -d '{
            "cluster_id": "<cluster_ID>"
          }' \
      mdb.api.cloud.yandex.net:443 \
      yandex.cloud.mdb.kafka.v1.ClusterService.Start
    

    You can request the cluster ID with the list of clusters in the folder.

  4. View the server response to make sure your request was successful.

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Getting a list of cluster hosts
© 2026 Direct Cursus Technology L.L.C.