Best Load Balancing Software for Mac

Since 2003, Loadbalancer.org has provided reliable, versatile and cost-effective load balancers engineered to improve the availability of your most critical IT applications. We have extensive experience of solving application delivery challenges, so you can expect honest advice and outstanding support from the load balancer experts. Working closely with leading technology providers in medical, object storage and print, our ADC solutions are specifically tailored to ensure seamless integration and better compatibility for enhanced performance of the entire solution.

NGINX Open Source: The open source web server that powers more than 400 million websites. NGINX Plus is a software load balancer, web server, and content cache built on top of open source NGINX. Use NGINX Plus instead of your hardware load balancer and get the freedom to innovate without being constrained by infrastructure. Save more than 80% compared to hardware ADCs, without sacrificing performance or functionality. Deploy anywhere: public cloud, private cloud, bare metal, virtual machines, and containers. Save time by performing common tasks through the built‑in NGINX Plus API. From NetOps to DevOps, modern app teams need a self‑service, API‑driven platform that integrates easily into CI/CD workflows to accelerate app deployment – whether your app has a hybrid or microservices architecture – and makes app lifecycle management easier.

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.