It’s quite common for an enterprise organization to start their Atlassian journey at the Server level. They may be unsure of what their particular needs are and therefore want to start off at the single server level, or perhaps adoption began at the individual team level and grew out through the organization from there.
Regardless of where our clients started and why there usually comes a time when their availability and performance needs surpass that of a single server or federated environment.
In addition, their Atlassian stack has become mission-critical and the transition to Data Center must be seamless to avoid any lost momentum and downtime.
That’s when they come to us, to help them scale and ensure that there is no loss of data and that productivity remains unfettered in the process.
You might be wondering, “When will my organization know it’s time to migrate from Atlassian Server to Data Center?” We’re glad you asked. In this article, we’re going to lay out several of the criteria we’ve seen throughout our many successfully orchestrated migrations that indicate it’s time to upgrade.
Your User-Base is Nearing or Passed 500
How many daily users does your organization have accessing your Atlassian products? We’ve found that typically, the tipping point for Atlassian products like Jira and Confluence, is between 500 and 1000.
However, you don’t want to wait until you’ve reached the limit to begin thinking about and planning for your upgrade because it is likely that you will start to see your performance suffer. A wiser solution is to have a migration plan in place that will be executed when your user-base exceeds 500.
According to Atlassian, 45% of Data Center customers upgraded at the 500-1000 user tier. For Jira Service Desk, 50% make the switch at the 50 agent tier.
Increased Administrative Needs
As your user base grows, optimizing your single server or properly orchestrating your federated environment can become quite difficult and time-consuming.
You may find you’re spending far too much time adjusting your server environment to improve performance. Or perhaps you have multiple teams now running separate server instances and managing these different instances is far too taxing and you want to consolidate to centralize and simplify administration.
Whatever your reason, Atlassian Data Center offers advanced administrative features that can make your life easier and your infrastructure, more regulated and high-functioning.
Your Performance Level is Declining
Another key indicator is performance degradation during your high load or peak traffic times. This usually happens in conjunction with a growing user base because as the number of users increases, available resources, and responsiveness decrease.
In addition to high usage, other running jobs, like API calls and queries, can also impact performance issues. Signs can be slow page loads and even downtime as we will discuss in the next section.
With Data Center, the ability to use a load balancer to redirect traffic additional standby nodes eliminates this problem entirely and enables you to ensure the best performance possible, at all times.
When outages occur, there are usually one of two factors involved: the application itself, or your server.
As to the application, often it’s because the memory dedicated to the server for running the application gets too full and causes the application to fail. Alternatively, it can be because of an overload of requests.
On the other hand, server outages can occur due to maintenance, upgrades, or resources being overwhelmed.
Regardless of the cause, outages are bad for your productivity and your bottom line. When hundreds of employees suddenly can’t work, it’s a huge problem.
Let’s take the number of employees you have that depend on your Atlassian tools to complete their work, and calculate what an hour of lost time costs your organization.
The Cost of Outages on Your Bottom Line
For arguments sake, let’s say you have 500 engineers working in Jira Software and your company experiences an hour-long outage. All work stops. If the average salary for a software engineer in the United States is $85,670, then that means you’re going to be looking at around $22,000 in salary alone for that one hour.
The bottom line: Data Center significantly reduces the risk of lost productivity due to poor performance and outages by balancing the load on multiple server nodes. In addition to poor performance, an increasing number of users and administrative headaches are just a few of the reasons why it might be time for you to move from Atlassian Server to Data Center.
To learn more about when Migrate from Atlassian Server to Data Center is warranted, and the considerations you need to make before upgrading to Data Center, check out Atlassian’s whitepaper: Server to Data Center: The Tipping Point.