Showing 11 open source projects for "cpu memory usage"

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  • 1
    Robusta KRR

    Robusta KRR

    Prometheus-based Kubernetes Resource Recommendations

    Robusta KRR (Kubernetes Resource Recommender) is a CLI tool for optimizing resource allocation in Kubernetes clusters. It gathers pod usage data from Prometheus and recommends requests and limits for CPU and memory. This reduces costs and improves performance.
    Downloads: 0 This Week
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  • 2
    Pumba

    Pumba

    Chaos testing, network emulation, stress testing tool for containers

    Pumba is a chaos testing command line tool for Docker containers. Pumba disturbs your containers by crashing containerized applications, emulating network failures and stress-testing container resources (cpu, memory, fs, io, and others).
    Downloads: 18 This Week
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  • 3
    ChaosBlade

    ChaosBlade

    An easy to use and powerful chaos engineering experiment toolkit

    ChaosBlade is an Alibaba open source experimental injection tool that follows the principles of chaos engineering and chaos experimental models to help enterprises improve the fault tolerance of distributed systems and ensure business continuity during the process of enterprises going to cloud or moving to cloud-native systems. Chaosblade is an internal open-source project of MonkeyKing. It is based on Alibaba's nearly ten years of failure testing and drill practice and combines the best...
    Downloads: 0 This Week
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  • 4
    Swarmpit

    Swarmpit

    Lightweight mobile-friendly Docker Swarm management UI

    Swarmpit is an open-source, self-hosted web dashboard that simplifies Docker Swarm cluster operations. It offers management of stacks, services, secrets, volumes, networks, and allows secure team access. It visualizes real-time CPU/memory/disk metrics, supports private registry integration, and streamlines deployment flows. The interface is mobile-friendly and privacy-focused—collecting no telemetry.
    Downloads: 0 This Week
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  • 5
    youki

    youki

    A container runtime written in Rust

    ...However, the container runtime requires the use of system calls, which requires a bit of special handling when implemented in Go. This is too tricky (e.g. namespaces(7), fork(2)); with Rust, it's not that tricky. And, unlike in C, Rust provides the benefit of memory safety. While Rust is not yet a major player in the container field, it has the potential to contribute a lot: something this project attempts to exemplify. youki has the potential to be faster and use less memory than runc, and therefore works in environments with tight memory usage requirements. Here is a simple benchmark of a container from creation to deletion.
    Downloads: 0 This Week
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  • 6
    OpenCost

    OpenCost

    Cost monitoring for Kubernetes workloads and cloud costs

    OpenCost is a vendor-neutral open-source project for measuring and allocating cloud infrastructure and container costs in real-time. Built by Kubernetes experts and supported by Kubernetes practitioners, OpenCost shines a light into the black box of Kubernetes spending. Flexible, customizable cost allocation and cloud resource monitoring for accurate showback, chargeback, and ongoing reporting. Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as...
    Downloads: 3 This Week
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  • 7
    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: 0 This Week
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  • 8
    Hetzner k3s

    Hetzner k3s

    A CLI tool to install and manage Kubernetes clusters in Hetzner Cloud

    ...With Hetzner's Cloud Controller Manager and CSI driver you can provision load balancers and persistent volumes very easily. k3s is my favorite Kubernetes distribution now because it uses much less memory and CPU, leaving more resources to workloads. It is also super quick to deploy because it's a single binary. Using this tool, creating a highly available k3s cluster with 3 masters for the control plane and 3 worker nodes takes a few minutes only. The tool assigns the label cluster to each server it creates for static node pools (this doesn't apply to autoscaled node pools), with the cluster name you specify in the config file, as the value.
    Downloads: 0 This Week
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  • 9
    Loggie

    Loggie

    A lightweight, cloud-native data transfer agent and aggregator

    ...With sufficient resources for the Agent specification, modify the number of files collected, the concurrency of the sending client (configure Filebeat worker and Loggie parallelism), and observe their respective CPU, memory, and pod network card transmission rates.
    Downloads: 0 This Week
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  • 10
    barco

    barco

    Linux containers from scratch in C

    barco is a project I worked on to learn more about Linux containers and the Linux kernel, based on other guides on the internet. Linux containers are made up by a set of Linux kernel features. namespaces: are used to group kernel objects into different sets that can be accessed by specific process trees. There are different types of namespaces, for example,the PID namespace is used to isolate the process tree, while the network namespace is used to isolate the network stack.
    Downloads: 0 This Week
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  • 11
    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 at scale. Although it has since been archived in favor of the broader ecosystem, the code remains a reference for how to map kernel primitives to service-oriented container management. ...
    Downloads: 0 This Week
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