[Jira] Server vs. Data Center – What’s right for you?
Many teams choose Atlassian Server products because they want or need control over their data and infrastructure. But did you know that Atlassian offers another option for you to deploy on your own infrastructure?
But really, what’s the difference between Server and Data Center?
Let’s start with the basics. Both deployment options provide you with control over your data and infrastructure. The main distinction is that while Server runs on a single nodewith internalized data stores, Data Center allows you to run on multiple nodes with externalized data stores.
When your Server instances grow, and your organization’s ability to build products and deliver services puts an increasingly demanding load on them, you might need a better way to stay ahead. For many of you, not only is the rate of your organization’s growth too much for a single server to handle, but as your organization continues to mature, you need a better solution to meet the growing list of requirements your software needs to meet company requirements.
We built Data Center with this group of our customers in mind. Atlassian Data Center was built to serve our Server customers as they grow and mature by providing them the infrastructure and capabilities to ensure consistent performance as they scale. Atlassian Data Center also helps teams work faster and smarter as they grow and gain increased control over the application. In addition, this better meets evolving security and compliance needs.
When should you consider upgrading to Data Center?
To determine whether Server or Data Center is the right fit for you, we’ve outlined some criteria to help in the decision-making process:
How many users do you have accessing your Atlassian applications each day? Is this number growing? We’ve found that Jira Software, Confluence, and Bitbucket customers typically need more stability between 500 – 1,000 users. 45% of current Data Center customers have upgraded to this offering at the 500 or 1,000 user tier. For Jira Service Desk, we found that 50% of Data Center customers upgrade when they reach 50 agents. Your team’s growth rate is also a good indication of which option you should choose.
As you scale, do you still get the same level of performance? Performance degradation usually happens under high load or peak times for larger customers. Many global companies experience this when their teams in multiple geographic locations are online at the same time. In addition to concurrent usage, other running jobs like API calls and queries can also impact performance. Therefore, it’s also important for you to evaluate your number of concurrent users and the impact that your global offices are having on overall system performance.
Is downtime unacceptable in your organization? Do you know what an hour of downtime costs you? There are typically two primary causes of downtime: application and server-side.
Application issues are often caused by JVM errors. Most commonly, application failure is caused when memory dedicated on the server for running the application gets too full or when the database’s connection is overloaded by requests.
Server disruption or crashes can be caused by a variety of things including planned maintenance, unplanned upgrades or installations, or resources such as CPU, RAM, or storage on the server being overwhelmed. Any type of outage results in lost productivity from your employees being unable to work. It is important to consider how many of your employees rely on Atlassian products to get their jobs done and what that hour of downtime may cost you.
How are you trying to streamline your administrative processes? Some of you may be using a federated environment or trying to meet your needs on a single server. However, your job quickly becomes more complicated when your single server is overloaded or your federated servers aren’t working together the way you’d like. Are you spending too much time managing simple tasks like password reset requests? Our Data Center offerings aim to simplify your job by giving you the tools you need to maintain optimal performance, avoid downtime, and manage your continued growth.
Learn more about Data Center
As you can see, there are many factors that make Data Center a great option for Server customers as their needs grow and change over time. And we are invested in continuing to build new Data Center capabilities to meet these needs. You can learn more about the differences within individual Server and Data Center products by checking out our feature comparisons:
Find out more about the criteria you should move to determine when to move to Data Center, learn how to plan, prepare and setup Data Center and read stories from customers who’ve successfully migrated to Data Center.