3 projects for "g-code" with 2 filters applied:

  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

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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
    Steedos Platform

    Steedos Platform

    The AI-Native Infrastructure for Enterprise Apps

    ...ObjectOS provides the runtime layer for APIs, authentication, permissions, workflow automation, and business logic. Object UI turns metadata into responsive React and Tailwind interfaces, while still allowing custom components and pro-code extension. Steedos is built for teams that need enterprise-grade apps with low-code speed, AI assistance, and flexible backend architecture.
    Downloads: 0 This Week
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  • 2
    Convox Rack

    Convox Rack

    Private PaaS built on native AWS services for maximum privacy

    ...It is designed for teams that want the productivity of a platform-as-a-service while keeping workloads, data, and infrastructure under their own control. Developers interact with Rack through the Convox CLI to create apps, set environment variables, deploy code, build releases, and promote updates. The platform handles application lifecycle tasks such as releases, logs, processes, scaling, rack updates, access credentials, and operational configuration. It also exposes commands for inspecting rack processes and generating Kubernetes configuration for the underlying cluster. Convox Rack is especially useful for teams that want repeatable deployments, cloud-native isolation, and reduced infrastructure maintenance without moving everything into a fully managed third-party runtime.
    Downloads: 2 This Week
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  • 3
    k8s_PaaS

    k8s_PaaS

    How to deploy to PaaS/DevOps

    ...It teaches users how to deploy and connect core infrastructure components such as Kubernetes, Dashboard, Harbor, Jenkins, local GitLab, Apollo, Prometheus, Grafana, Spinnaker, Zookeeper, etcd, and related services. The repository is structured as a practical learning path with real deployment code, architecture design notes, operational screenshots, and extensive comments. It explains not only what to do, but also why each step matters and how to complete it in a working environment. The guide is aimed at helping beginners move from Docker basics to a full Kubernetes-based delivery platform. By the end, users are expected to understand automated deployment, CI/CD, monitoring, configuration management, service delivery, and platform maintenance.
    Downloads: 0 This Week
    Last Update:
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