Atlassian Data Center documentation
- Data Center architecture and infrastructure options
- Data Center infrastructure recommendations
- Migrate from Server to Data Center
- Backup and restoration for Atlassian Data Center
- Running Data Center products on a Kubernetes cluster
- Disaster recovery for Atlassian Data Center
- About Data Center approved apps
- Data Center performance
- In-product diagnostics administration and support
- SSO for Atlassian Data Center
- Using Personal Access Tokens
- User data compatiblity
- Diagnosing runtime issues using the Java Flight Recorder
- Deploy Data Center products with the Azure template
- Deploy Data Center products with the AWS Quick Start template
- Getting started with Data Center products on AWS
- Getting started with Data Center products on Azure
- Best practices for Atlassian Data Center
- Atlassian Data Center FAQ
- Manage two-step verification for your Atlassian account
- Sharing usage data in Data Center
- Service accounts in Crowd Data Center
On this page
In this section
Related content
- No related content found
On this page:
Looking for tips on how to start monitoring your Data Center instance? Whether you're evaluating Data Center or already up and running, we're here to guide you in monitoring and managing the performance of your instance.
Testing
Testing your application helps determine whether your infrastructure is capable of supporting adequate performance levels under typical loads. You'll need to predict realistic usage patterns and load to conduct useful tests.
👁 (info)
We no longer use the Atlassian Performance Testing framework for our own performance tests. You can still use the framework, but we won’t be able to provide support or help you interpret the results.
Jira Data Center performance and scale tests
With every Jira release, we publish a performance and scaling report that compares performance of the current Jira version with the previous one. See Jira performance and scale testing
Monitoring
To keep your instance healthy, you need to monitor it regularly. To do that, you need to know which metrics to track, create alarms for critical thresholds, and make plans for when you hit them. Do it right, and your Data Center application will continue performing at an optimal level.
Every deployment is different, so we've provided you with guidelines for forming a performance monitoring plan to suit your environment.
- Getting started with Data Center monitoring
- Tools for monitoring your Data Center application
- How Atlassians monitor their enterprise deployments
Sizing
When studying the performance of your instance, it's important to know the size of your data and volume of your usage. To help you out, we came up with reference profiles for each product. These references list what metrics to collect, along with what their values say about your instance's size.
- Jira Data Center size profiles
- Confluence Data Center load profiles
- Bitbucket Data Center load profiles
Infrastructure
If your current or projected data and usage is Large or XLarge profile, it's time to re-evaluate your infrastructure. We tested different configurations on AWS (Amazon Web Services) to see what kind of environment your instance will need. The following pages provide AWS infrastructure recommendations for different Large and XLarge Atlassian Data Center loads (we also explain the methodology and results of the tests those recommendations are based on):
- Jira Data Center: Infrastructure recommendations for enterprise instances on AWS
- Infrastructure recommendations for enterprise Confluence instances on AWS
- Infrastructure recommendations for enterprise Bitbucket instances on AWS
Was this helpful?
In this section
Related content
- No related content found