Deploy Jira Datacenter on Kubernetes.. a short history

This is a guide to deploy Jira Datacenter on Google Kubernetes Engine

This is my first post related to Infra as a code to deploy Atlassian products. Hope you enjoy and use (or part of) it to deploy your own infrastructure… by the way this is my first KB/article on Github/Linkedin too :-)

Let me explain why I did this…

I´m working at a customer that is evaluating some applications to move to Kubernetes and since I am the “Atlassian guy” here I took the Jira Datacenter running on kubernetes POC challenge.

Well.. challenge accepted and now? 🤔

I have a lot of expertise related to Servers, Collaboration, Network Infrastructure and deploying Jira Datacenter on Azure using the blueprint provided by Atlassian as example, but I didn´t touch Kubernetes previously. So, my firts step was learn about it. I suggest you to take the Coursera course offered by Google. I made it and received a certificate (https://coursera.org/share/b0b439a528f073364a29c3ccf4ee3636).

Then, since I received some credits at GCP, I decided to use it as my Cloud Provider (you can use any other to do that, but in my example we will use everything that works and fit for GKE - Google Kubernetes Engine).

Take in consideration that this is a simple deployment without SSL with a lot of space for improvements and you can use it as start point to make your own.

Let´s start the CookBook 😋

PS - I assume you have some knowledge with Kubernetes, otherwise, take the free course from Google.

Since an image spokes for thousand words... The following diagram explain how I deployed the environment. To deploy that info I made a research and read hundreds of sites and knowledge articles from Google, Kubernetes Github, Medium Articles, Kubernetes.io articles, StackOverFlow posts… but my special thanks go to Praqma and Steven Hipwell whose I learned a lot from their articles.

Let´s end the smooth talk and jump to the code.

Our pre-requisites are:

• A previously PostgreSQL instance to adjust the parameters on values.yaml to passthrough the variables to the Jira Pods. - https://cloud.google.com/sql / https://cloud.google.com/sql/docs/postgres/create-manage-databases
• A FileStore Instance to be used as SharedHome (on other Cloud Providers you can create a NFS Disk directly from Helm, but not at GCP yet). - https://cloud.google.com/filestore / https://cloud.google.com/filestore/docs/quickstart-console

There is a order to deploy, do it after the previous tasks:

1 - On the Google Cloud, after create a Cluster (https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-cluster), go to Cloud Shell and pull the repository:

git clone https://github.com/ohanainfo/jira

2 - Create the Shared Persistent Disk first (nfs-pv.yaml file inside templates folder). Edit with the Sharefolder and IP address of NFS Disk created previously following the steps below:

    #edit the nfs-pv.yaml file to adjust properties
    vi jira/templates/nfs-pv.yaml
    #deploy the NFS Persistent Volume
    kubectl apply -f jira/templates/nfs-pv.yaml

3 - After that, create a service account named Jira with the following command:

kubectl apply -f jira/templates/serviceaccount.yaml

4 - Take a look on the Helm file (values.yaml) and edit the necessary parameters. ** THIS IS IMPORTANT** https://github.com/ohanainfo/JiraDC_on_GKE/blob/master/values.yaml And them, edit it to match your needs:

vi jira/values.yaml

5 - Deploy the remaining artifacts using Helm:

helm install jira jira

6 - Ops… there is no Step Six… just enjoy it! 🙄

At the time I created this article, unfortunately I needed to shutdown my environment due to lack of funds. 🤑