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Why should I rent a gitlab runner?

Top 10 Reasons Why You Should Switch from GitLab CI Minutes to a Dedicated Runner Solution

The top ten reasons for switching from GitLab CI minutes to a dedicated runner solution are highlighted in this piece. The article discusses important issues like a lack of customization, higher costs, longer construction times, and scarce resources. The dedicated runner solution provides seamless integration with GitLab, improved reliability, optimized performance, and reduced expense. Overall, switching to a dedicated runner solution can help developers focus on their primary development tasks by saving time and money.

Emily Thompson

August 19, 2023

Why Cloud-Runner is the Better Choice Over Buying GitLab CI/CD Minutes

The benefits of using Cloud-Runner over adding more GitLab CI/CD minutes are highlighted in this piece. Optimizing CI/CD pipelines is made possible by Cloud-Runner's affordability, quicker build times, devoted support, customization, and scalability. For developers seeking to enhance their CI/CD experience, Cloud-Runner offers a simple transition and a useful substitute thanks to its seamless integration with GitLab.

August 19, 2023

Why You Should Run Your GitLab Runner on a Physical Server

Find Out Why Running Your GitLab Runner on a Physical Server Is Better Than Running It on a Virtual Machine - Goodbye to Slow Pipelines and Virtualization Limitations!

Guénolé Delanoë

August 19, 2023

Rent Managed GitLab Runners for Streamlined and High-Performance CI/CD Processes

Experience faster Gitlab pipelines, increased efficiency, and improved software development processes.

Guénolé Delanoë

August 19, 2023

How to Improve the Performance of Your GitLab Runners

Improving the performance of your GitLab runners is essential for efficient CI/CD pipelines. Slow runners may result from hardware limitations, network bottlenecks, misconfigurations, inefficient code, or a lack of parallelization. Address these issues by upgrading hardware, optimizing your network, correcting configurations, refactoring code, and leveraging parallel job execution.

Guénolé Delanoë

March 26, 2024

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