Showing 4 open source projects for "development"

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  • 1
    Netis Cloud Probe

    Netis Cloud Probe

    A Software Probe for network packet capturing and forwarding in Cloud

    Netis Cloud Probe (Packet Agent, name used before)is an open source project to deal with such a situation: it captures packets on Machine A but has to use them on Machine B. This case is very common when you try to monitor network traffic in the LAN.
    Downloads: 0 This Week
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  • 2
    gVisor

    gVisor

    Application Kernel for Containers

    gVisor is an application kernel developed by Google that provides a strong layer of isolation between applications and the host operating system. Written in Go, it implements a Linux-compatible system call interface that runs entirely in user space, creating a secure sandboxed environment for containers. Unlike traditional virtual machines or lightweight syscall filters, gVisor follows a third approach that offers many of the security benefits of virtualization while maintaining the speed,...
    Downloads: 1 This Week
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  • 3
    Pixie

    Pixie

    Instant Kubernetes-Native Application Observability

    Pixie is an open-source observability tool for Kubernetes applications. Use Pixie to view the high-level state of your cluster (service maps, cluster resources, application traffic) and also drill down into more detailed views (pod state, flame graphs, individual full-body application requests). Pixie uses eBPF to automatically collect telemetry data such as full-body requests, resource and network metrics, application profiles, and more. Pixie collects, stores and queries all telemetry data...
    Downloads: 0 This Week
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  • 4
    lmctfy

    lmctfy

    lmctfy is the open source version of Google’s container stack

    lmctfy is Google’s open-source container runtime that exposed Linux cgroups and namespaces through a higher-level API, predating the widespread adoption of modern container tools. It offered a daemon and client for creating, updating, and destroying resource-isolated “containers” with quotas on CPU, memory, and other subsystems. The project focused on operational safety—clean hierarchies, accounting, and predictable behavior under resource pressure—reflecting lessons from running containers...
    Downloads: 0 This Week
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