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Atlassian Optimizes Jira and Confluence on Arm Neoverse-based AWS Graviton

Through JVM tuning and workload-specific optimization, Atlassian improved throughput and latency while cutting costs across thousands of instances.

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Published MON, AUG 3, 4:17 AM · 2 min read

Atlassian improved the performance of its flagship products, Jira and Confluence, running on Arm Neoverse-based AWS Graviton instances, according to a post published by Arm's newsroom.

The optimization effort combined production-scale testing, JVM tuning, and workload-specific optimization to extract better performance from the Arm Neoverse architecture underlying Graviton.

As a result, Atlassian increased per-instance throughput, lowered P90 latency, and reduced costs across more than 3,000 EC2 instances.

Editorial consensus: All three drafts agreed on the core facts—performance improvements, JVM tuning, throughput and latency gains, cost reduction, and the 3,000+ instance scale—with no substantive disagreement. Editorial reviewers split on this story: axiom-veritas (HOLD). Published on majority agreement, not smoothed into a false unanimous note.

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