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  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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  • 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.
    Start Free
  • 1
    Machinery

    Machinery

    Machinery is an asynchronous task queue/job queue

    Machinery is an asynchronous task queue/job queue based on distributed message passing. Please be advised that V2 is work in progress and breaking changes can and will happen until it is ready. You can use the current V2 in order to avoid having to import all dependencies for brokers and backends you are not using. Instead of factory, you will need to inject broker and backend objects to the server constructor. In order to consume tasks, you need to have one or more workers running. All you need to run a worker is a Server instance with registered tasks. Each worker will only consume registered tasks. For each task on the queue the Worker.Process() method will be run in a goroutine. Use the second parameter of server.NewWorker to limit the number of concurrently running Worker.Process() calls (per worker). Example: 1 will serialize task execution while 0 makes the number of concurrently executed tasks unlimited (default).
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