Open Source Container Management Software - Page 7

Container Management Software

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  • 1
    Blueprint/Boilerplate Python Projects

    Blueprint/Boilerplate Python Projects

    Blueprint/Boilerplate For Python Projects

    Blueprint/Boilerplate For Python Projects.
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  • 2
    Brigade

    Brigade

    Event-driven scripting for Kubernetes

    Brigade is a full-featured, event-driven scripting platform built on top of Kubernetes. It integrates with many different event sources, more are always being added, and it's easy to create your own if you need something specific. The best part is that Kubernetes is well-abstracted so even team members without extensive Kubernetes experience or without direct access to a cluster can be productive.
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  • 3
    CNI

    CNI

    Container Network Interface - networking for Linux containers

    CNI (Container Network Interface), a Cloud Native Computing Foundation project, consists of a specification and libraries for writing plugins to configure network interfaces in Linux and Windows containers, along with a number of supported plugins. CNI concerns itself only with network connectivity of containers and removing allocated resources when the container is deleted. Because of this focus, CNI has a wide range of support and the specification is simple to implement. As well as the specification, the CNI repository contains the Go source code of a library for integrating CNI into applications and an example command-line tool for executing CNI plugins. A separate repository contains reference plugins and a template for making new plugins. The template code makes it straight-forward to create a CNI plugin for an existing container networking project. CNI also makes a good framework for creating a new container networking project from scratch.
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  • 4
    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.
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  • 5
    CRI-O

    CRI-O

    Open Container Initiative-based implementation of Kubernetes Container

    CRI-O follows the Kubernetes release cycles with respect to its minor versions (1. x.y). Patch releases (1.x.z) for Kubernetes are not in sync with those from CRI-O, because they are scheduled for each month, whereas CRI-O provides them only if necessary. If a Kubernetes release goes End of Life, then the corresponding CRI-O version can be considered in the same way. This means that CRI-O also follows the Kubernetes n-2 release version skew policy when it comes to feature graduation, deprecation or removal. This also applies to features that are independent of Kubernetes. Nevertheless, feature backports to supported release branches, which are independent from Kubernetes or other tools like cri-tools, are still possible. This allows CRI-O to decouple from the Kubernetes release cycle and have enough flexibility when it comes to implementing new features. Every feature to be backported will be a case-by-case decision of the community.
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  • 6
    Ceph CSI

    Ceph CSI

    CSI driver for Ceph

    Ceph CSI plugins implement an interface between a CSI-enabled Container Orchestrator (CO) and Ceph clusters. They enable dynamically provisioning Ceph volumes and attaching them to workloads. For details about the configuration and deployment of the RBD plugin, please refer rbd doc and for the CephFS plugin configuration and deployment please refer cephFS doc.
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  • 7
    Constellation

    Constellation

    Constellation is the first Confidential Kubernetes

    Constellation is a distributed confidential computing platform developed by Edgeless Systems. It allows developers to run Kubernetes-native applications in secure enclaves across multiple machines, ensuring end-to-end encryption and trusted execution for workloads. Built on top of Kubernetes and using technologies like Intel SGX and Gramine, Constellation guarantees that not even infrastructure operators can access data or code, making it ideal for privacy-sensitive workloads and multi-party computation scenarios.
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  • 8
    Container Management Windows Application for school project using VB.Net and Evolver developer's kit
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  • 9
    Containers Roadmap

    Containers Roadmap

    This is the public roadmap for AWS container services

    This repository is a public forum for the AWS Containers team to share plans, gather feedback, and track progress for services like Amazon ECS, EKS, Fargate, ECR, App Runner, and related tooling. Instead of buried changelogs, ideas and work items are represented as GitHub issues with labels that convey status, area, and priority. Customers watch, react, and comment directly on items, creating a transparent feedback loop between users and service teams. The issue history provides valuable context on trade-offs, design pivots, and integration plans across the container ecosystem on AWS. It is not a codebase; it is a living roadmap that signals what’s under consideration, in progress, or shipped. Teams use it to validate use cases, surface gaps, and coordinate previews with early adopters who can test features in realistic environments.
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  • 10
    Contour Kubernetes

    Contour Kubernetes

    Contour is a Kubernetes ingress controller using Envoy proxy

    Contour is an open source Kubernetes ingress controller providing the control plane for the Envoy edge and service proxy.​ Contour supports dynamic configuration updates and multi-team ingress delegation out of the box while maintaining a lightweight profile. Quickly deploy cloud-native applications using the flexible and innovative HTTPProxy API. Update Envoy configurations as the ingress and underlying elements change, without restarting the load balancer. Safely delegate ingress configuration to protect service access on multi-team Kubernetes clusters.
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  • 11
    CoolStore Web Application

    CoolStore Web Application

    A full-stack .NET microservices build on Dapr and Tye

    CoolStore Website is a containerized polyglot microservices application consisting of services based on .NET Core, NodeJS, and more running on Service Mesh. It demonstrates how to wire up small microservices and build up a larger application using microservice architectural principles. It's mainly building for the .NET ecosystem with a lot of popular libraries and toolkits that have been used by the .NET community for a long time. Additionally, it uses and experiments with new components and libraries to build modern applications with a cloud-native apps approach.
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  • 12
    Crunchy Container Suite

    Crunchy Container Suite

    Containers for Managing PostgreSQL on Kubernetes by Crunchy Data

    The Crunchy Container Suite provides Docker containers that enable rapid deployment of PostgreSQL, including administration and monitoring tools. Multiple styles of deploying PostgreSQL clusters are supported. Companies of all sizes, of any enterprise or industry, can benefit from moving operations to PostgreSQL. We can help you with your journey and assist in providing the operational and developer experience you've always wanted with the database you've always loved. Data is one of your most valuable assets, Crunchy Postgres ensures your data is safe and backed up so you can sleep easily. With built-in connection scaling you can easily scale to tens of thousands of connections for your database. With Crunchy Data and open-source Postgres, you are not locked-in into proprietary technology. Get the insights you need to know what is happening with your database with monitoring included.
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  • 13
    Deis Workflow

    Deis Workflow

    The open source PaaS for Kubernetes.

    Deis Workflow is an open source Platform as a Service (PaaS) that adds a developer-friendly layer to any Kubernetes cluster, making it easy to deploy and manage applications. The Deis project welcomes contributions from all developers. The high-level process for development matches many other open-source projects.
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  • 14
    Descheduler

    Descheduler

    Descheduler for Kubernetes

    Scheduling in Kubernetes is the process of binding pending pods to nodes, and is performed by a component of Kubernetes called kube-scheduler. The scheduler's decisions, whether or where a pod can or can not be scheduled, are guided by its configurable policy which comprises of set of rules, called predicates and priorities. The scheduler's decisions are influenced by its view of a Kubernetes cluster at that point of time when a new pod appears for scheduling. As Kubernetes clusters are very dynamic and their state changes over time, there may be a desire to move already running pods to some other nodes for various reasons.
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  • 15
    Eru

    Eru

    Eru, a simple, stateless, flexible, production-ready orchestrator

    Eru, a simple, stateless, flexible, production-ready orchestrator designed to easily integrate into existing workflows. Can run any virtualization things in long or short time. Eru can use multiple engines to run anything for the long or short term. This project is Eru Core. The Core use for resource allocation and managing resources' lifetime. After we implemented bootstrap in eru, now you can build and deploy eru with cli tool. Make sure you can clone code. After the fresh image was named and tagged, it will be auto pushed to the remote registry which was defined in config file.
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  • 16
    Factory

    Factory

    A new approach to Container-Based Dependency Injection for Swift

    A new approach to Container-Based Dependency Injection for Swift and SwiftUI. Factory is strongly influenced by SwiftUI, and in my opinion is highly suited for use in that environment. Most container-based dependency injection systems require you to define in some way that a given service type is available for injection and many require some sort of factory or mechanism that will provide a new instance of the service when needed. Unlike Resolver which often requires defining a plethora of nested registration functions, or SwiftUI, where defining a new environment variable requires creating a new EnvironmentKey and adding additional getters and setters, here we simply add a new Factory computed variable to the default container. When it's called our Factory is created, its closure is evaluated, and we get an instance of our dependency when we need it.
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  • 17
    Geodesic

    Geodesic

    Geodesic is a DevOps Linux Toolbox in Docker

    Geodesic is a robust Linux toolbox container, crafted to optimize DevOps workflows. This container comes fully loaded with all essential dependencies for a complete DevOps toolchain. It's designed to bring consistency and boost efficiency across development environments. It achieves this without the need for installing additional software on your workstation. Think of Geodesic as a containerized parallel to Vagrant, offering similar functionality within a Docker container context.
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  • 18
    Golang API Starter Kit

    Golang API Starter Kit

    Go Server/API boilerplate using best practices DDD CQRS ES gRPC

    The main purpose of this project is to provide a boilerplate project setup using best practices, DDD, CQRS, ES, and gRPC. Featuring kubernetes for both development and production environments. Allowing to work with an environment reflecting production one, allowing to reduce any misconfiguration. This is a mono-repository of many services such as authentication or user domain. Each service has it own code base with the exception of shared packages to simplify things for this boilerplate. Services communicate with each other using gRPC. Each service might expose HTTP API for external communication or/and gRPC. This project setup should reduce the time spent on environment configuration for the whole Kubernetes cluster and/or each microservice. Extracting each of the services to its own repository or keeping it as mono-repo should be a matter of preference.
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  • 19
    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.
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  • 20
    HOBBIT Java SDK Example

    HOBBIT Java SDK Example

    Integrate your benchmarks and systems into the HOBBIT platform

    Integrate your benchmarks and systems into the HOBBIT platform in 5 minutes. This repository contains all types of HOBBIT-compatible components and number of tests, required to debug components locally without having a running instance of the platform. The repository may be cloned and used as a HOBBIT-compatible basis for the future project (benchmark or system). The tests allow developers to debug components either as pure java codes or packaged into docker containers. Fully tested docker images may be uploaded and executed in the online platform without any modifications. Please find the basic benchmark component implementations in the sources folder. You may extend the components with logic of your benchmark and debug the components as pure java codes by running the make test-benchmark command or execute checkHealth() method from ExampleBenchmarkTest) in IDE. You may specify input parameters models for benchmark and system you are running.
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  • 21
    Helios

    Helios

    Docker container orchestration platform

    This project was created when there were no open-source container orchestration frameworks. Since the advent of Kubernetes and other tools, we've stopped adding new features to helios and are now switching to other tools like Kubernetes. This project will no longer have new features or accept PRs for new features. We will continue to accept bug fixes, however. Helios is a Docker orchestration platform for deploying and managing containers across an entire fleet of servers. Helios provides a HTTP API as well as a command-line client to interact with servers running your containers. It also keeps a history of events in your cluster including information such as deploys, restarts, and version changes.
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  • 22
    Helm charts

    Helm charts

    Helm charts for applications you run at home

    Helm must be installed to use the charts. Please refer to Helm's documentation to get started.
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  • 23
    JAX Toolbox

    JAX Toolbox

    Public CI, Docker images for popular JAX libraries

    JAX Toolbox is a development toolkit designed to streamline and optimize the use of JAX for machine learning and high-performance computing on NVIDIA GPUs. It provides prebuilt Docker images, continuous integration pipelines, and optimized example implementations that help developers quickly set up and run JAX workloads without complex configuration. The project supports popular JAX-based frameworks and models, including architectures used for large-scale pretraining such as GPT and LLaMA variants. By offering curated environments and tested configurations, it reduces compatibility issues and accelerates development workflows for both research and production. The repository also includes performance-optimized examples that demonstrate best practices for leveraging NVIDIA hardware effectively. Its integration with container-based workflows makes it suitable for reproducible experiments and scalable deployments across different environments.
    Downloads: 0 This Week
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  • 24
    Karmada

    Karmada

    Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration

    Karmada (Kubernetes Armada) is a Kubernetes management system that enables you to run your cloud-native applications across multiple Kubernetes clusters and clouds, with no changes to your applications. By speaking Kubernetes-native APIs and providing advanced scheduling capabilities, Karmada enables truly open, multi-cloud Kubernetes. Karmada aims to provide turnkey automation for multi-cluster application management in multi-cloud and hybrid cloud scenarios, with key features such as centralized multi-cloud management, high availability, failure recovery, and traffic scheduling.
    Downloads: 0 This Week
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  • 25
    Kepler

    Kepler

    Kepler (Kubernetes-based Efficient Power Level Exporter)

    Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics.
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