[DEISER Talks] "Atlassian Data Center: De la A a la Z" - Carlos Aparicio
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The document discusses the importance and benefits of Atlassian Data Center for mission-critical environments, emphasizing high availability and performance at scale. It highlights the architecture involving multiple servers, load balancers, and shared storage to ensure uninterrupted access and resilience. Additionally, it covers deployment flexibility, authentication options, and provides insights into performance testing and future exploration areas.
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[DEISER Talks] "Atlassian Data Center: De la A a la Z" - Carlos Aparicio
- 1. CARLOS APARICIO | ATLASSIAN EXPERT CONSULTANT | [email protected] Atlassian Data Center De la A a la Z
- 3. single cash register multiple cash registers
- 4. single cash register multiple cash registers
- 6. Do I need a data center solution?
- 7. What happens when there’s a significant negative event?
- 9. Deploy infrastructure Server Data Center Cloud
- 10. Server Database
- 11. Data Center Load Balancer Multiple Application Nodes Shared Storage Database
- 12. Load balancer Load balancer F5Apache NGINX Sticky Sessions
- 13. Database Database Clustered databases PostgreSQL MySQL SQL server Oracle
- 14. Shared storage Shared storage Avatars / Profiles Attachments Icons Plugins
- 16. Why Data Center?
- 17. Scale mission-critical Atlassian applications Data Center High availability Performance at scale Instant scalability
- 18. High Availability Uninterrupted access Intelligently distributes load across cluster Minimizes single points of failure Distributed loadActive-active clustering Redundancy
- 19. Scale mission-critical Atlassian applications Data Center High availability Performance at scale Instant scalability
- 20. Performance at scale Don’t compromise on performance Increases application throughput Critical teams receive highest quality of service Quality of servicesConcurrent user capacity Application resilience
- 21. Scale mission-critical Atlassian applications Data Center High availability Performance at scale Instant scalability
- 22. Instant scalability New nodes join the cluster without downtime Ensures users have maximum uptime Licensed by user count Rapid re-indexingHassle-free deployment Predictable costs
- 23. Data Center key areas
- 24. Data Center key areas High availability Performance at scale Deployment flexibility Authentication and control
- 29. Performance @ Scale Mirrors are read-only copies of a primary Bitbucket Server instance
- 30. Performance @ Scale Daily tasks Heavy tasks
- 31. Performance @ Scale Atlassian Performance Testing Framework https://confluence.atlassian.com/enterprise/atlassian-performance-testing- framework-935575100.html
- 32. Performance @ Scale Jira Performance Testing Tools https://confluence.atlassian.com/enterprise/jira-performance-testing-available- tools-729743538.html
- 33. Performance @ Scale JMX Java Management Extensions https://confluence.atlassian.com/adminjiraserver/live-monitoring-using-the-jmx- interface-939707304.html
- 40. CROWD DC LDAP Microsoft AD, OpenLDAP, Novell Internal CROWD Remote CROWD directory Custom integration Microsoft Azure
- 41. Apps
- 44. Looking ahead… This are future exploration…
- 45. Geo- performance
- 52. Test Results - Under a high load, clustered JIRA has improved performance overall. - Throughput and capacity show a near linear increase as nodes are added to the cluster.
- 53. Success stories
- 57. Benefits High availability Performance at scale Stronger integrations Operability with other tools Disaster recoveryInstant scalability
- 59. Enterprise releases (Jan 5)
- 60. Q & A
- 61. CARLOS APARICIO | ATLASSIAN EXPERT CONSULTANT | [email protected] Thank you!!!