4 projects for "system maintenance" with 2 filters applied:

  • Your monitoring isn't a stack. It's a pile. Fix that. Icon
    Your monitoring isn't a stack. It's a pile. Fix that.

    Errors, performance, logs, uptime. One install, one invoice, one UI.

    Replace Datadog, New Relic, and Sentry without adding three more dashboards.
    Free 30 days.
  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

    Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

    Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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  • 1
    DIASER

    DIASER

    Cloud storage class, open source software.

    DIASER, Geo-data duplication long-term archive system & WAN vault. Manage mixed data archives generated by existing backup software. Ensure availability using commodity hardware. Retain administrative and financial control.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    FOR THE LATEST VERSION OF KEEPBACK, PLEASE VISIT THE GITHUB PROJECT PAGE. KeepBack is a simple backup solution which preserves personal files and their history to USB or network attached storage drives.
    Downloads: 0 This Week
    Last Update:
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  • 3
    ...The latest version can be found at https://github.com/gkiefer/backup2l. backup2l is a lightweight tool for generating, maintaining and restoring backups on a mountable file system. The main design goals are low maintenance effort, efficiency, transparency and robustness.
    Downloads: 0 This Week
    Last Update:
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  • 4
    PySnapshot is a backup program written in Python and inspired by rsnapshot. PySnapshot backs up directories to daily snapshots. Features: extensive error handling, email notification, verbose logging, very low maintenance, ease of use, reliability.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 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.
    Try Free
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