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Applying a new deployment configuration: Upgrade

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Applying a new deployment configuration: Upgrade

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One of the many useful aspects of an API is that you can automate changes across a large number of deployments. Let’s say you have many deployments that are at a specific version of the Elastic Stack that need to get upgraded to the next minor release, here from version 6.5.4 to 6.6.0. You can either surreptitiously change the version of each deployments in the Cloud UI or you can automate finding all the deployments at the specific version level and upgrading them through a script.

Before you begin

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This example requires a deployment with an Elasticsearch cluster to work with that is not being used for anything important. If you don’t already have one, you can follow our My First Deployment example to create one.

Each version of ECE ships with some versions of the Elastic Stack, but you can add new versions as they become available. If you need to add versions before trying out this example, see Manage Elastic Stack Versions.

You can search for clusters that are at a specific version through the RESTful API or you can iterate over the JSON output from the API to get the list you need, similar to what Step 1 shows.

Steps

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To upgrade a cluster:

Use the _search endpoint to get a list of the deployments which have Elasticsearch resources that need upgrading, here My First Deployment:

curl -k -X POST -H "Authorization: ApiKey $ECE_API_KEY" https://$COORDINATOR_HOST:12443/api/v1/deployments/_search -H 'content-type: application/json' -d '{
"query": {
    "nested" : {
        "path" : "resources.elasticsearch",
        "query" : {
            "bool" : {
                "must" : [{
                    "match" : {"resources.elasticsearch.info.plan_info.current.plan.elasticsearch.version" : { "query" : "6.8.6"}}
                }]
            }
        }
    }
 },
 "size": 100,
 "sort": [{"metadata.last_modified": { "order": "desc"}}]
}
'

{
  "return_count": 1,
  "match_count": 1,
  "deployments" : [
      {
        "id" : "$DEPLOYMENT_ID",
        "name" : "My First Deployment",
        "resources" : {

    ...

          "elasticsearch": {
            "version": "6.8.6"
          },

    ...

}

For each of the deployments that you want to upgrade, make a PUT request updating the version:

curl -k -X PUT -H "Authorization: ApiKey $ECE_API_KEY" https://$COORDINATOR_HOST:12443/api/v1/deployments/$DEPLOYMENT_ID -H 'content-type: application/json' -d '{
    "prune_orphans" : false,
    "resources":{
       "elasticsearch": [{
          "region": "ece-region",
          "ref_id": "main-elasticsearch",
          "plan":{
              "cluster_topology": [{
                  "node_type": {
                      "master": true,
                      "data": true,
                      "ingest": true
                  },
                  "instance_configuration_id": "data.default",
                  "zone_count": 3,
                  "size": {
                      "resource": "memory",
                      "value": 4096
                  }
              }],
              "elasticsearch":{
                  "version": "7.5.1"
              },
              "deployment_template":{
                  "id": "default"
              }
          }
      }]
   }
}'

DEPLOYMENT_ID: The deployment ID for My First Deployment

After the upgrade operation completes, the Elasticsearch resource will be at version 7.5.1.

Optional: Repeat Step 1 to verify that there are no more deployments with Elasticsearch resources at the old version that need to be upgraded:
```
{
  "return_count": 0,
  "match_count": 0,
  "deployments": []
}
```

If your deployment has components other than Elasticsearch, such as Kibana or APM, you should first upgrade the Elasticsearch resource as we did in the previous example. After that operation succeeds, you can upgrade other components using the following endpoint:

curl -k -X POST -H "Authorization: ApiKey $ECE_API_KEY" https://$COORDINATOR_HOST:12443/api/v1/deployments/$DEPLOYMENT_ID/$KIND/$REF_ID/_upgrade

KIND: The type of resource. For example kibana or apm.
REF_ID: The unique ID for the resource in the deployment.

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