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Showing 8 open source projects for "edge"

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

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  • 1
    MicroK8s

    MicroK8s

    Single-package Kubernetes for developers, IoT and edge

    Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing.
    Downloads: 0 This Week
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  • 2
    Spegel

    Spegel

    Stateless cluster local OCI registry mirror.

    ...Spegel integrates natively with containerd and CRI-O, ensuring seamless operation in container runtimes without changing workflows. It’s particularly useful for air-gapped, edge, or resource-constrained environments where access to remote registries is slow or restricted.
    Downloads: 0 This Week
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  • 3
    Clusternet

    Clusternet

    [CNCF Sandbox Project] Managing your Kubernetes clusters

    ...It is a general-purpose system for controlling Kubernetes clusters across different environments as if they were running locally. Manage multiple Kubernetes clusters (running on public cloud, private cloud, hybrid cloud, or at the edge) from a single management cluster. Deploy Helm Charts, all Kubernetes built-in resources (like Deployments) and CRDs to manage clusters with two-tier application configuration for cluster-specific values.
    Downloads: 0 This Week
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  • 4
    Zarf

    Zarf

    DevSecOps for Air Gap & Limited-Connection Systems

    Zarf eliminates the complexity of air gap software delivery for Kubernetes clusters and cloud-native workloads using a declarative packaging strategy to support DevSecOps in offline and semi-connected environments.
    1 Review
    Downloads: 4 This Week
    Last Update:
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  • Error to trace to log to deploy. One click. No SSH. Icon
    Error to trace to log to deploy. One click. No SSH.

    Catch the cause before the pager goes off.

    AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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  • 5
    Kubermatic KubeOne

    Kubermatic KubeOne

    Kubermatic KubeOne automate cluster operations on all your cloud

    Kubermatic KubeOne automates cluster operations on all your cloud, on-prem, edge, and IoT environments. KubeOne can install high-available (HA) master clusters as well single master clusters. KubeOne works on any infrastructure out of the box. All you need to do is to provision the infrastructure and let KubeOne know about it. KubeOne will take care of setting up a production-ready Highly Available cluster. KubeOne natively supports the most popular providers, including AWS, Azure, DigitalOcean, GCP, Hetzner Cloud, Nutanix, OpenStack, VMware Cloud Director, and VMware vSphere. ...
    Downloads: 1 This Week
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  • 6
    KWOK

    KWOK

    Kubernetes WithOut Kubelet - Simulates thousands of Nodes and Clusters

    KWOK is a toolkit that enables setting up a cluster of thousands of Nodes in seconds. Under the scene, all Nodes are simulated to behave like real ones, so the overall approach employs a pretty low resource footprint that you can easily play around with on your laptop.
    Downloads: 0 This Week
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  • 7

    pycos

    Python framework for concurrent, asynchronous, distributed tasks

    Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing.
    Downloads: 4 This Week
    Last Update:
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  • 8

    dispy

    Distributed and Parallel Computing with/for Python.

    dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing.
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    3 Reviews
    Downloads: 4 This Week
    Last Update:
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