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Browse free open source Load Balancers and projects below. Use the toggles on the left to filter open source Load Balancers by OS, license, language, programming language, and project status.

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • 1
    Quartz.NET

    Quartz.NET

    Quartz enterprise scheduler .NET

    Quartz.NET is a full-featured, open-source job scheduling system that can be used from smallest apps to large-scale enterprise systems. Can run embedded within an application or even instantiated as a cluster of stand-alone programs (with load-balance and fail-over capabilities). Jobs are scheduled to run when a given trigger occurs, triggers support wide variety of scheduling options. Jobs can be any .NET class that implements the simple IJob interface, leaving infinite possibilities for the work jobs can perform. Job stores can be implemented to provide various mechanisms for the storage of jobs, in-memory and multiple relational databases come supported out of the box. Built-in support for load balancing your work and graceful fail-over. Applications can catch scheduling events to monitor or control job/trigger behavior by implementing one or more listener interfaces.
    Downloads: 6 This Week
    Last Update:
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  • 2
    OpenJCS (Job Control System) is a batch scheduling and control system for use on Unix systems which uses load balancing, dependency control, scheduling, runbooks, queueing and resource allocation subsystems for unmatched scalability and flexibility.
    Downloads: 0 This Week
    Last Update:
    See Project
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