Upgrade a Confluence cluster on AWS without downtime
This document provides step-by-step instructions on performing a rolling upgrade on an AWS deployment orchestrated through CloudFormation. In particular, these instructions are suitable for Confluence Data Center deployments based on our AWS Quick Starts.
Step 1: Enable upgrade mode
Step 2: Find all the current application nodes in your stack
In AWS, note the Instance IDs of all running application nodes in your stack. These are all the application nodes running your current version. You'll need these IDs for a later step.
In the AWS console, go to Services > CloudFormation. Select your deployment’s stack to view its Stack Details.
- Expand the Resources drop-down. Look for the ClusterNodeGroup and click its Physical ID. This will take you to a page showing the Auto Scaling Group details of your application nodes.
- In the Auto Scaling Group details, click on the Instances tab. Note all of the Instance IDs listed there; you'll be terminating them at a later step.
Step 3: Update your CloudFormation template
Your deployment uses a CloudFormation template that defines each component of your environment. In this case, upgrading Confluence means updating the version of Confluence used in the template. During the upgrade, we highly recommend that you add a node temporarily to your cluster as well.
- In the AWS console, go to Services > CloudFormation. Select your deployment’s stack to view its Stack Details.
- In the Stack Details screen, click Update Stack.
- From the Select Template screen, select Use current template and click Next.
- Set the Version parameter to the version you’re updating to. Since this is a rolling upgrade, you can only set this to a later bug fix version.
- Add an extra node to your cluster. This will help ensure that your cluster won't have a shortage of nodes for user traffic. To do this, increase the value of the following parameters by 1:
- Maximum number of cluster nodes
- Minimum number of cluster nodes
- Select Next. Click through the next pages, and then to apply the change using the Update button.
After updating the stack, you will have one extra node already running the new Confluence version. With Upgrade mode enabled, that node will be allowed to join the cluster and start work. Your other nodes won't be upgraded yet.
Once the new upgraded node is running an in an Active state, you should check the application logs for that node, and log in to Confluence on that node to make sure everything is working. It's still possible to roll back the upgrade at this point, so taking some time to test is recommended.
Once you've tested the first node, you can start upgrading another node. To do that, shut down and terminate the node – AWS will then replace the node with a new one running the updated Confluence version.
Step 4: Upgrade another node
Start with the least busy node
We recommend that you start upgrading the node with the least number of running tasks and active users. On the Rolling upgrades page, you’ll find both in the Cluster overview section.
In Step 2, you noted the instance ID of each node in your cluster. Terminate the node where you gracefully shut down Confluence. To do this:
- In the AWS console, go to Services > EC2. From there, click Running Instances.
- Check the instance of matching the node where you gracefully shut down Confluence.
- From the Actions drop-down, select Instance State > Terminate.
- Click through to terminate the instance.
Each time you terminate a node, AWS will automatically replace it. The replacement will be running the new version of Confluence. Once the new node's status is Active, you can move on to upgrading another node.
Step 5: Upgrade all other nodes individually
At this point, your cluster should have two nodes running the new version of Confluence. You can now upgrade other nodes. To do so, simply repeat the previous step on another node. As always, we recommend that you upgrade the node with the least number of running tasks each time.
If your deployment uses standalone Synchrony, you may need to update the version used by each Synchrony node as well. To do this, terminate each Synchrony node one after the other after you upgrade all nodes to the new version.
Step 6: Finalize the upgrade
Step 7: Scale down your cluster
In Step 3, we added a node temporarily to the cluster as a replacement for each one we terminated. This was to help ensure we'd have enough nodes to handle normal user traffic. After finalizing the upgrade, you can remove that node:
- In the AWS console, go to Services > CloudFormation. Select your deployment’s stack to view its Stack Details.
- In the Stack Details screen, click Update Stack.
- From the Select Template screen, select Use current template and select Next.
- Decrease the value of the following parameters by 1:
- Maximum number of cluster nodes
- Minimum number of cluster nodes
- Select Next. Click through the next pages, and then to apply the change using the Update button.
You can now remove one node from your cluster without AWS replacing it. To do this:
- Choose the node with the least number of running tasks.
- Shut down Confluence gracefully on the node.
- Terminate the node.
Refer to Step 4 for detailed instructions.
Troubleshooting
Disconnect a node from the cluster through the load balancer
If an error prevents you from terminating a node, try disconnecting the node from the cluster through the load balancer. In the AWS Application Load Balancer, each node is registered as a target – so to disconnect a node, you'll have to de-register it. For more information on how to do this, see Target groups for your Application Load Balancers and Registered targets.