Many businesses want to migrate Jira to the Cloud. In this case study we explore the common migration challenges. You’ll also discover how SPK helped a leading national consumer financing company overcome their own migration experience.
The Migrate Jira To Cloud Challenge
The company in this case study is a leading provider of consumer financial services. They specialize in the renewable-energy space. They relied on server-based instances of Jira Software, as well as the corporate wiki, Confluence. Now, they now faced two challenges:
- Atlassian, the parent company of both Jira and Confluence, was ending its support for the server-based versions of both products. If they didn’t quickly migrate Jira to the cloud, they could lose all of their data.
- The company had its own internal IT department. The small, yet capable team were armed with Atlassian tools specifically designed for migrating its products to the cloud. Therefore, the team believed they could complete this migration on their own.
However, the team soon discovered that the migration was too large to complete without expertise. They would also be unable to achieve other existing deliverables and commitments due to the scale.
Despite the Atlassian available tools (and their advertised capabilities), issues always arise. And so, like many companies, this business sought support from an Atlassian expert. They reached out to SPK and Associates.
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Full cloud migration w/ 0 data loss
2000+ pages fixed and migrated
Migrate Jira To Cloud Issues
Atlassian’s Jira Cloud Migration Assistant or JCMA tool includes:
- A run-book and pre-migration checklist. This addresses many common issues up front that would prevent the Atlassian Server from communicating with the Atlassian Cloud.
- Dark Features, which help to work around persistent user-name issues.
- The REST API, in the form of python scripts to assist in the partial environment reset between migration attempts.
While JCMA can handle the bulk of the migration of project configuration and data from the server environment to the cloud, it doesn’t do a perfect job. Indeed, certain things “refuse” to migrate, since there isn’t a perfect one-to-one swap of technical features between the server and the cloud.
There was also the need to evaluate third-party Jira apps to determine what would be applicable in the cloud environment. And SPK had to help the client upgrade the memory and heap allocations to allow JCMA to even operate.
Unfortunately, since this client had already begun the migration on their own, we were forced to work with Atlassian cloud-migration managers to extend the various trials, as we essentially restarted the project from scratch.
Migrate Confluence To Cloud Issues
The Confluence migration process is ostensibly straightforward; there’s a Confluence Cloud Migration Assistant (CCMA) tool available for it.
But the reality was not so simple. We needed to evaluate third-party Confluence apps to determine if they would be compatible with—or even available for—Confluence Cloud. And the memory and heap-allocation issues from Jira were mirrored here: Both server virtual machines (VMs) required upgrading, since their memory resources fell below Atlassian’s basic requirements for migration.
Then there was the big revelation: We soon determined that migrating the apps through the CCMA tool was neither efficient nor consistent; surprisingly, migrating the apps manually (by searching the marketplace and finding their cloud equivalents) proved far more productive.
Other Confluence migration issues also needed to be resolved:
- We encountered an issue, pre-migration, that was blocking the test users from logging into Confluence with their company credentials; this was because their email addresses had multiple aliases. SPK and the client worked together to resolve this issue and after another test migration we were able to confirm the issue was no longer a concern.
- The CCMA tool itself was getting updated almost monthly. With each update came new concerns about what may have changed—or gotten broken—after an update.
- In our post-production migration checks, we discovered that the Jira macro-repair tool wasn’t converting all of the Jira macros embedded on pages within Confluence. Working extensively with Atlassian to resolve this, we created a site backup of the cloud, changed the Jira macros at the database level using a SQL query script, and then tested the fix.
- As it turned out, over 2,000 pages were impacted by this issue. This wasn’t easy to resolve, since most of them were drafts that had migrated over from the server; simply deleting them would have had a serious effect on the data if it was ever updated by a user.
From Zero To Full Speed In No Time
After the client’s initial struggles on their own, SPK was able to get everything, in both Jira and Confluence, migrated in a few months. Most of that time, incidentally, was spent working with the Atlassian migration-support team to resolve issues, and performing a total of eight discrete test migrations.
Today, this client is happily running Jira and Confluence in the cloud. All their data is preserved and accessible. Notably, it’s not going to be the victim of Atlassian deprecation, so there’s no longer the fear of data getting lost.
They’re saving money, too. The cloud-based solution isn’t just more reliable and always up-to-date; it’s also more scalable. New users can be added quickly, and cost-effectively, in just minutes.
After trying to complete the cloud migration ourselves, we came across unanticipated challenges and realised we needed expert support. Working with SPK and Associates made things so much easier and removed the additional labor drainage within our business – we should have engaged with them from day one. They handled all the complexity of the migration, from fixing macro-repair tools in Jira, to liaising with Atlassian directly. I would highly recommend engaging with them for your cloud migration so you can reap the benefits faster – and with ease!
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