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10 Tips to Pump Up Your Atlassian Performance
The document provides performance enhancement tips for Atlassian products, focusing on areas such as Java 8 optimization, database configurations, server settings, and effective add-on strategies. It emphasizes the importance of JVM parameters, managing LDAP connections, and maintaining custom fields and workflows to improve system efficiency. Key takeaways include the necessity of regular updates and compatibility checks for add-ons to prevent performance issues.
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10 Tips to Pump Up Your Atlassian Performance
- 1. BORIS BERENBERG •5UPER 5ECRET 5UPPORT 5TAR • ATLASSIAN • @IMATINCR 10 Tips to Pump Up Your Atlassian Performance BRIAN TOM • SENIOR SUPPORT ENGINEER EXTRAORDINAIRE • ATLASSIAN • @ATLASSAMURAI
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- 5. Java 8 Tip #1:Java 8 8
- 6. InsaneLargeSmall Tip #2: HeapHeap Heap Less than 4GB CMS / ParallelGC / UseParallelOldGC More than 4GB G1GC 12gb practical max. 100 GB +
- 7. Follow ReferralsFilter ScopeNestedGroups Tip #3: LDAP Flatten them! Use only what you need Global Catalog Read Only
- 8. Tip #4: JVM Parameters CodeCache in Java 8 -XX:ReservedCodeCacheSize=384m Server vs Client -server
- 9. Tip #5: Server Configuration GZip GeneralConfiguration -> Compress HTTP Responses NIO protocol=“org.apache.coyote.http11. Http11NioProtocol"
- 10. • PostgreSQL • Mostused within Atlassian • Vacuum / auto-vacuum • Analyze • MySQL • Analyze • Optimize • Oracle • Create indexes on foreign key columns • Connection config Tip #6: Database
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- 13. Tip #8: CustomFields
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- 15. Tip #10: Permissionsand Security Levels
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- 18. Keep them upto date Tip #11: Add-on Strategy Get the bug fixes Update Check
- 19. Keep them upto date Tip #11: Add-on Strategy Stay compatible Get the bug fixes Incompatible add-ons can cause odd performance issues Update Check
- 20. Keep them upto date Tip #11: Add-on Strategy Stay compatible JQL with caution Get the bug fixes Incompatible add-ons can cause odd performance issues Some add-ons that provide custom JQL functions have a huge impact
- 21. Automatic heap dumps Thread Dumps+ thread CPU usage The right data to solve the problem GC Logging Access logs
- 22. Java 8 Heap andGC strategy Fast user directories Custom Fields / Workflows / Permissions Key Takeaways
- 23. Danke und auf Wiedersehen! BORISBERENBERG • 5UPER 5ECRET 5UPPORT 5TAR • ATLASSIAN • @IMATINCR BRIAN TOM • SENIOR SUPPORT ENGINEER EXTRAORDINAIRE • ATLASSIAN • @ATLASSAMURAI
- 24. • Slide 5: Java 8 • Learn More About Performance Improvements in JDK 8 • Slide 6 : Heap Heap Heap • Garbage Collector Performance Issues • Garbage Collection (GC) Tuning Guide • Slide 7: LDAP Nested Groups • Connecting to an LDAP Directory • Managing Nested Groups (JIRA) • Managing Nested Groups (Confluence) • Flatten nested groups: JRA-27072 | CWD-2082 Resources • Slide 7: LDAP Filter Scope • User Management Limitations and Recommendations • Performance issues with large LDAP repository • Reduce the number of users synchronized from LDAP to JIRA • Restricting LDAP Scope • How to write LDAP search filters Follow Referrals • Global Catalog and LDAP Searches • How do I search from Active Directory’s global catalog? • Slide 8: JVM Parameters • Server vs Client • Reserved code cache size
- 25. • Slide 9:Server Configuration • Using the NIO connector in Confluence • Enabling HTTP compression • Slide 10: Database • Postgres Database Optimizations • MySQL - Optimize Table • Deadlocks in Oracle 11G due to missing indexes • Troubleshooting MySQL performance • Foreign Keys Constraints created without accompanying index • Slide 11: Backups • Backing up data (JIRA) • Production Backup Strategy (Confluence) • Slides 12,13,14,15: JIRA • Scaling JIRA Resources (continued) • Slide18: Add-on Strategy • Managing incompatible add-ons • Checking add-on compatibility • Updating add-ons • Understanding JQL Performance • Slide 21: The right data to solve the problem • Thread dumps: JIRA | Confluence • Heap dumps: JIRA | Confluence • How to enable garbage collection logging • User access logging: JIRA | Confluence
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