Showing 3 open source projects for "performance"

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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
  • Error to trace to log to deploy. One click. No SSH. Icon
    Error to trace to log to deploy. One click. No SSH.

    Catch the cause before the pager goes off.

    AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
    Free 30 days.
  • 1
    Beta9

    Beta9

    Run serverless GPU workloads with fast cold starts on bare-metal

    ...It allows developers to deploy and scale GPU-accelerated applications without managing underlying infrastructure, offering flexibility and efficiency for AI and high-performance computing tasks. beta9 supports various frameworks and provides tools for monitoring and managing deployments effectively.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Dokploy

    Dokploy

    Open Source Alternative to Vercel, Netlify and Heroku

    ...Simplify your project and data management, ensure robust monitoring, and secure your backups—all without the fuss over minute details. Elevate your infrastructure with tools that offer precise control, detailed monitoring, and enhanced security, ensuring seamless management and robust performance. Streamline your deployments with our PaaS. Effortlessly manage Docker containers and traffic with Traefik. Boost your infrastructure's efficiency and security today
    Downloads: 0 This Week
    Last Update:
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  • 3
    KubeOperator

    KubeOperator

    An open source, lightweight Kubernetes distribution

    ...Support online environment and offline environment deployment. Provides a visual web UI. Supports cluster planning, deployment and operations. Easily run workloads like machine learning, high-performance computing, and more. Quickly deploy and manage applications in K8S. Only two steps to complete the KubeOperator installation and deployment.
    Downloads: 1 This Week
    Last Update:
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