Best Load Balancing Software for GitLab
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Compare the Top Load Balancing Software that integrates with GitLab as of July 2025
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This a list of Load Balancing software that integrates with GitLab. Use the filters on the left to add additional filters for products that have integrations with GitLab. View the products that work with GitLab in the table below.
What is Load Balancing Software for GitLab?
Load balancing software is a type of computer networking tool that allows for the efficient distribution of workloads across multiple computing resources. It can help to improve performance and reliability by ensuring that incoming traffic is distributed in a balanced manner between different hardware resources. Load balancing software can be used to balance web service requests, database queries and other network protocols. Additionally, it offers features such as automatic failover, load shedding, content-based routing and more. Compare and read user reviews of the best Load Balancing software for GitLab currently available using the table below. This list is updated regularly.
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1
Google Cloud Platform
Google
Google Cloud Platform’s load balancing services distribute traffic across resources to ensure high availability and performance. Services like Google Cloud Load Balancing automatically scale applications and handle large traffic volumes. With GCP’s global load balancing, businesses can maintain smooth, fast user experiences even during traffic surges. New customers can leverage $300 in free credits to run, test, and deploy workloads, allowing them to evaluate the platform’s load balancing capabilities in a cost-effective manner. GCP’s load balancing also includes intelligent routing features, which direct traffic based on the closest available resources, reducing latency and improving performance. These solutions help businesses handle unexpected traffic spikes without compromising on user experience.Starting Price: Free ($300 in free credits) -
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NeoLoad
Tricentis
Continuous performance testing software to automate API and application load testing. Design code-less performance tests for complex applications. Script performance tests <as:code /> within automated pipelines for API testing. Design, maintain and run performance tests as code and analyze results within continuous integration pipelines using pre-packaged plugins for CI/CD tools and the NeoLoad API. Create test scripts quickly for large, complex applications using a graphical user interface and skip the complexity of hand coding new and updated tests. Define SLAs based on built-in monitoring metrics. Put pressure on the app and compare SLAs to server-level statistics to determine performance. Automate pass/fail triggers based on SLAs. Contributes to root cause analysis. Update test scripts faster with automatic test script updates. Update only the part of the test that’s changed and re-use the rest for easy test maintenance.
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