Stopping and starting an Apache Kafka® cluster

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

The folder used by default is the one specified when creating the CLI profile. To change the default folder, use the yc config set folder-id <folder_ID> command. You can also specify a different folder for any command using --folder-name or --folder-id. If you access a resource by its name, the search will be limited to the default folder. If you access a resource by its ID, the search will be global, i.e., through all folders based on access permissions.

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 with the list of clusters in the folder.

3. Check 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 get the cluster ID with the list of clusters in the folder.

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

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

The folder used by default is the one specified when creating the CLI profile. To change the default folder, use the yc config set folder-id <folder_ID> command. You can also specify a different folder for any command using --folder-name or --folder-id. If you access a resource by its name, the search will be limited to the default folder. If you access a resource by its ID, the search will be global, i.e., through all folders based on access permissions.

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 get the cluster ID with the list of clusters in the folder.

3. Check 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 get the cluster ID with the list of clusters in the folder.

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