Description
| Summary | Description |
|---|---|
| Atlassian Crowd® benchmarks are recorded to provide a comparison with a pre-tuning state | Benchmarks are recorded to provide a comparison with a pre-tuning state |
| Create Atlassian Crowd® turnover Packet Template | Tuning recommendations are documented alongside the cause as part of a Turnover Packet |
| Record Atlassian Crowd® benchmarks to provide a comparison with a post-tuning state | Benchmarks are recorded to provide a comparison with a post-tuning state |
| Replicate existing Atlassian Crowd® performance problems with history | Existing performance problems with history inside your organization are replicated and logged for correlation with other vectors; system, network, JVM |
| Analyze Atlassian Crowd® application logs for outstanding issues which track back to a known issue | Review application logs, correlate events with active JIRA® issues (tickets) relating to system performance |
| Analyze and Document Atlassian Crowd® Customizations | Atlassian Crowd® Customizations are analyzed and documented as possible causes of degraded application performance. |
| Propose Atlassian Crowd® Performance Remedies | When possible, recommendations are made for a course of action to remedy in Production and validated in Development environments |
| Analyze Atlassian Crowd® application logs | Application logs are analyzed for outstanding issues which track back to a known issue. Existing performance problems with history inside your organization are replicated and logged for correlation with other vectors; system, network, JVM |
| Prepare Atlassian Crowd® Performance Remedies | When possible, recommendations are made for first round of tuning based on Atlassian’s recommended fix |
| Log outstanding Atlassian Crowd® issues as service requests with Atlassian | New issues are logged as issues with Atlassian |
| Analyze Atlassian Crowd® Add-on issues | Add-on and Plugin issues are logged as issues with vendor |
| Benchmark Atlassian Crowd® implementation | Benchmarks are recorded to provide a comparison with a post-tuning state |
| Turnover Atlassian Crowd® performance recommendations | Tuning recommendations are documented alongside the cause as part of a Turnover Packet |
