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    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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  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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  • 1
    EARTHLY

    EARTHLY

    The effortless CI/CD framework that runs anywhere

    Share compute and cache with Earthly Satellites. Build remotely from the comfort of your terminal. Satellites use the code in your current directory, stream logs back to you in real time, and output results (images, artifacts) back to your laptop. When used from a CI, Earthly Satellites can be used to speed up builds, as the cache is retained between runs. Earthly was engineered for readability. Most engineers are able to read an Earthfile without any prior knowledge. We took some of the best ideas from Dockerfiles and Makefiles and combined them into one specification. ...
    Downloads: 0 This Week
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  • 2
    Jenkins Docker

    Jenkins Docker

    Docker jenkins repo

    ...The leading open source automation server, Jenkins provides hundreds of plugins to support building, deploying and automating any project. If you bind mount in a volume, you can simply back up that directory (which is jenkins_home) at any time. This is highly recommended. Treat the jenkins_home directory as you would a database, in Docker you would generally put a database on a volume. If your volume is inside a container, you can use a Docker command to extract the data, or other options to find where the volume data is. ...
    Downloads: 5 This Week
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  • 3
    bors-ng

    bors-ng

    A merge bot for GitHub Pull Requests

    ...Instead of maintainers repeatedly rebasing and merging one PR at a time, bors-ng batches r+-ed PRs, triggers your existing CI (e.g., GitHub Actions), and merges automatically when the batch is green. If a batch fails, it bisects the batch into smaller runs to isolate the culprit, landing the good PRs and kicking only the failing one(s) back for fixes. The bot is implemented as a GitHub App and works alongside—rather than replacing—your CI by reporting commit statuses/checks and acting on PR comments like bors r+ or bors try. It provides a dashboard to watch queue progress, uses separate staging/trying branches for merge/test cycles, and supports both public GitHub and GitHub Enterprise endpoints.
    Downloads: 0 This Week
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