Introduction
Atlassian, the Australian collaborationware company, has successfully migrated its four million Postgres databases supporting Jira implementations to Amazon Web Services (AWS) Aurora. This shift, disclosed by principal site reliability engineer Pat Rubis, signifies a substantial enhancement in performance and reliability for Atlassian’s vast customer base.
Key Details
- Who: Atlassian
- What: Migration of Jira databases to AWS Aurora
- When: Late 2023
- Where: AWS, with databases spread across 13 global regions
- Why: To achieve better cost-efficiency, reliability, and performance
- How: Transitioned from RDS for PostgreSQL to Aurora, allowing a reduction in AWS instance size and improving uptime from 99.95% to 99.99%.
Rubis emphasized that the migration involved moving from the m5.4xlarge instance on RDS to the r6.2xlarge on Aurora, showcasing improved autoscaling capabilities and affordability.
Why It Matters
This migration impacts various domains within IT infrastructure:
- Database Scalability: Aurora’s architecture allows for automatic scaling, making it easier to handle increased loads without downtime.
- Performance Upgrade: The switch enhances the ability to support more concurrent transactions and quicker response times for Jira users.
- Cost Management: The reduction in instance size could lead to significant savings on cloud expenditures.
- Enhanced Reliability: The move to a higher availability SLA means less downtime and better continuity for businesses relying on Jira.
Takeaway
IT professionals should assess their database management strategies and consider migrating to platforms like AWS Aurora for improved scalability and reliability. This shift not only streamlines operations but positions teams to better support evolving business needs in a multi-cloud environment.
For more curated news and infrastructure insights, visit www.trendinfra.com.
