Jira Cloud Performance Enhancement with Protobuf

https://is1-ssl.mzstatic.com/image/thumb/Podcasts211/v4/67/c8/43/67c8430f-7e3e-bcba-4469-54787206cb90/mza_12433984773424099588.jpg/600x600bb.jpg

Code Impact

Sanket Makhija

72 episodes

4 days ago

Welcome to "Code Impact," the podcast where we explore code that has an impact. Each episode dives deep into real-world stories, practical case studies, and expert insights, showcasing the powerful impact of code on performance, accessibility, and user experience. Whether you're a seasoned developer or just starting your journey, "Code Impact" delivers the tools, tips, and inspiration you need to create meaningful and high-performing products. Join us as we uncover the ways coding is transforming industries and making a difference—one line at a time. NotebookLM creates all episodes.

Education

RSS

All content for Code Impact is the property of Sanket Makhija and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.

Education

https://d3t3ozftmdmh3i.cloudfront.net/staging/podcast_uploaded_nologo/42227160/42227160-1728916697741-cd37329d2cc32.jpg

Jira Cloud Performance Enhancement with Protobuf

Code Impact

20 minutes 11 seconds

9 months ago

Jira Cloud Performance Enhancement with Protobuf

This Atlassian blog post details the migration of Jira Cloud's Issue Service from JSON to Protocol Buffers (Protobuf) to enhance performance. The switch involved a phased approach to minimise downtime, creating new endpoints and logic to handle both formats concurrently before a complete transition. The results showcased significant improvements: 75% less Memcached CPU usage, 80% smaller data size, and a substantially faster response time. Challenges encountered included Protobuf's handling of null values and incompatibility with Spring's default error controller, which required workarounds. Ultimately, the migration yielded substantial performance gains and reduced infrastructure needs.

https://www.atlassian.com/blog/atlassian-engineering/using-protobuf-to-make-jira-cloud-faster