Open Source BSD Container Management Software

Container Management Software for BSD

Browse free open source Container Management software and projects for BSD below. Use the toggles on the left to filter open source Container Management software by OS, license, language, programming language, and project status.

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  • 1
    Loggifly

    Loggifly

    Get Alerts from your Docker Container Logs

    LoggiFly is a lightweight, open-source monitoring tool designed to watch Docker container logs in real time and trigger alerts, notifications, or automated actions based on predefined keywords or regular expression patterns. Instead of manually scanning logs for issues or relying solely on centralized monitoring stacks, LoggiFly proactively inspects streams of container output and notifies users through services like Ntfy, Slack, Discord, Telegram, or webhooks when significant events occur. It supports plain text, regex, and multi-line pattern matching, and its flexible alert templating lets operators tailor messages for clarity and context, including attaching relevant log excerpts. Beyond notifications, LoggiFly can take automated actions such as restarting or stopping containers when specific critical patterns are detected, which is especially useful for preventing damage from misbehaving services.
    Downloads: 2 This Week
    Last Update:
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  • 2
    CRFS

    CRFS

    CRFS: Container Registry Filesystem

    CRFS is a user-space filesystem that mounts container images directly from remote registries, exposing them as ordinary directories without a full “pull” step. Instead of downloading entire layers upfront, it fetches file ranges on demand and maintains a content-addressed cache, yielding fast startup and lower bandwidth for large images. The system speaks registry protocols and understands layered image formats, resolving whiteouts and overlays so the mounted view matches what a container runtime would see. A FUSE (or platform-equivalent) frontend makes it trivial to integrate with existing tools: compilers, test runners, or debuggers can read files as if they were local. This lazy, verified access pattern is especially valuable in CI and developer workflows where you inspect or compile a few files from a massive base image. By treating registries as a read-only filesystem, CRFS turns image artifacts into first-class, quickly accessible build inputs.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Google Cloud's buildpacks

    Google Cloud's buildpacks

    Builders and buildpacks designed to run on Google Cloud's container

    Google Cloud Buildpacks is a repository of builders and buildpacks designed to create container images that run cleanly on Google Cloud container platforms. It is built around full compatibility with the Cloud Native Buildpacks specification, which means it can participate in standardized build workflows while still being tailored to Google Cloud environments. The project supports major runtime destinations such as Cloud Run, GKE, Anthos, and Compute Engine with Container-Optimized OS, and it also powers build flows for App Engine and Cloud Functions. One of its strengths is that it does not only provide buildpacks themselves, but also builder images that work with tools such as pack, kpack, Tekton, and Skaffold, giving developers flexibility in how they incorporate it into CI/CD systems.
    Downloads: 0 This Week
    Last Update:
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  • 4
    k8s_PaaS

    k8s_PaaS

    How to deploy to PaaS/DevOps

    k8s_PaaS is a hands-on Chinese tutorial project for building a complete PaaS and DevOps platform on top of Kubernetes. 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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