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September 2020
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How to build a highly available Atlassian stack on Kubernetes

Bregt CoenenBregt Coenen

Within ACA, there are multiple teams working on different (or the same!) projects. Every team has their own domains of expertise, such as developing custom software, marketing and communications, mobile development  and more. The teams specialized in Atlassian products and cloud expertise combined their knowledge to create a highly-available Atlassian stack on Kubernetes. Not only could we improve our internal processes this way, we could also offer this solution to our customers!

In this blogpost, we’ll explain how our Atlassian and cloud teams built a highly-available Atlassian stack on top of Kubernetes. We’ll also discuss the benefits of this approach as well as the problems we’ve faced along the path. While we’re damn close, we’re not perfect after all 😉 Lastly, we’ll talk about how we monitor this setup.

The setup of our Atlassian stack

Our Atlassian stack consists of the following products:

As you can see, we use AWS as the cloud provider for our Kubernetes setup. We create all the resources with Terraform. We’ve written a separate blog post on what our Kubernetes setup exactly looks like. You can read it here! The image below should give you a general idea.

The next diagram should give you an idea about the setup of our Atlassian Data Center.

While there are a few differences between the products and setups, the core remains the same.

The benefits of this setup

By using this setup, we can leverage the advantages of Docker and Kubernetes and the Data Center versions of the Atlassian tooling. There are a lot of benefits to this kind of setup, but we’ve listed the most important advantages below.

By using our particular setup, the Atlassian stack has a couple of great benefits

Interested in leveraging the power of Kubernetes yourself? You can find more information about how we can help you on our website!

Problems we faced during setup

Migrating to this stack wasn’t all fun and games. We’ve definitely faced some difficulties and challenges along the way. By discussing them here, we hope we can facilitate your migration to a similar setup!

Sometimes we had to go back to the drawing board when setting up our Atlassian stack

Monitoring our Atlassian stack

We use the following tools to monitor all resources within our setup

If our monitoring detects an anomaly, it creates an alert within OpsGenie. OpsGenie will make sure that this alert is sent to the team or the on-call person that is responsible to fix the problem. If the on-call person does not acknowledge the alert in time, the alert will be escalated to the team that’s responsible for that specific alert.

We monitor our Atlassian stack with Datadog, NewRelic and OpsGenie

Conclusion

In short, we are very happy we migrated to this new stack. Combining the benefits of Kubernetes and the Atlassian Data Center versions of Jira, Confluence and BitBucket feels like a big step in the right direction. The improvements in self-healing, deploying and monitoring benefits us every day and maintenance has become a lot easier.

Interested in your own Atlassian Stack? Do you also want to leverage the power of Kubernetes? You can find more information about how we can help you on our website!

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