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Graviton2 Performance and Cost Optimization

1 post · May 2020 – Aug 2021

What this trail covers

GitLab is evolving its infrastructure strategy to leverage Arm-based Graviton2 processors for both the GitLab application and GitLab Runners. This initiative aims to provide significant cost savings and performance improvements for self-managed GitLab deployments, particularly for customers with high CI/CD compute usage. The focus is on benchmarking and validating the performance and cost-effectiveness of Graviton2 instances compared to traditional x86 instances, enabling customers to optimize their infrastructure. This post details the delivery of official support for 32-bit and 64-bit Arm-based GitLab runners in binary, rpm/deb packaging, and Docker image format, making them available in the 12.6, 12.9, and 13.0 releases respectively.

All GitLab trails
  1. GitLab on Graviton2: 23% cheaper, 36% higher performanceThis post details performance benchmarks and cost analysis for deploying the GitLab 10,000 reference architecture and GitLab Runners on AWS Graviton2 (Arm64) instances compared to x86-based EC2 instances. It quantifies cost savings of up to 23% and performance gains of up to 36% for the GitLab application and GitLab Runners, respectively. The post outlines the testing methodology using the GitLab Performance Tool and the GitLab Environment Toolkit, and presents benchmark results for compiling a Linux kernel on Graviton2 instances. It also provides resources for users interested in adopting AWS Graviton processors.
  2. Announcing 32/64-bit Arm Runner Support for AWS Graviton2This post announces the delivery of official support for 32-bit and 64-bit Arm-based GitLab runners. This includes making Arm Runner binaries available in the 12.6 release, RPM/DEB packages in the 12.9 release, and a native Arm Docker image in the 13.0 release. It also highlights a demo showing deployment on AWS Graviton2 M6g instances, GitLab joining the Arm Neoverse developer program, and adding support for Arm architectures for Auto DevOps and Omnibus.