Open Source Linux Container Management Software
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Container Management Software for Linux
View 41 business solutionsBrowse free open source Container Management software and projects for Linux 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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Level Up Your Cyber Defense with External Threat ManagementMove beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.
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Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
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Volcano
A Cloud Native Batch System (Project under CNCF)
Volcano is a batch system built on Kubernetes. It provides a suite of mechanisms that are commonly required by many classes of batch & elastic workload including machine learning/deep learning, bioinformatics/genomics, and other "big data" applications. These types of applications typically run on generalized domain frameworks like TensorFlow, Spark, Ray, PyTorch, MPI, etc, which Volcano integrates with. Volcano builds upon a decade and a half of experience running a wide variety of high-performance workloads at scale using several systems and platforms, combined with best-of-breed ideas and practices from the open-source community. Until June 2021, Volcano has been widely used around the world at a variety of industries such as Internet/Cloud/Finance/ Manufacturing/Medical. More than 20 companies or institutions are not only end users but also active contributors. -
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DockStation
Application to managing projects based on Docker
DockStation is a developer-centric application to managing projects based on Docker. Instead of lots of CLI commands you can monitor, configure, and manage services and containers using just a GUI. The DockStation helps to manage projects and container settings, e.g. bind a local host to a project, simple version changing, map ports, assign and reassign environment variables, change entry point and start command instructions, configure volumes, quick access to image documentation, quick services containers cleanup and a lot of other useful functionality. The application helps to manage and observe remote containers. We provide many tools, such as as log monitoring, searching logs, grouping, running tools, and getting container info. We also provide amazing authorization tools for remote connections. -
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Reloader
A Kubernetes controller to watch changes in ConfigMap and Secrets
A Kubernetes controller to watch changes in ConfigMap and Secrets and do rolling upgrades on Pods with their associated Deployment, StatefulSet, DaemonSet, and DeploymentConfig – [✩Star] if you're using it. We would like to watch if some change happens in ConfigMap and/or Secret; then perform a rolling upgrade on relevant DeploymentConfig, Deployment, Daemonset, Statefulset, and Rollout. Reloader can watch changes in ConfigMap and Secret and do rolling upgrades on Pods with their associated DeploymentConfigs, Deployments, Daemonsets Statefulsets, and Rollouts. -
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kube-vip
Kubernetes Control Plane Virtual IP and Load-Balancer
kube-vip provides Kubernetes clusters with a virtual IP and load balancer for both the control plane (for building a highly-available cluster) and Kubernetes Services of type LoadBalancer without relying on any external hardware or software. ARP is a layer 2 protocol that is used to inform the network of the location of a new address. When a new IP address is configured to a device, there needs to be a mechanism to inform the network of which piece of hardware is hosting this new address. ARP is the technology that is used to ensure that a network understands the link between the hardware address (MAC) and the logical address (IP). -
Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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A Kubernetes Native Java stack tailored for OpenJDK HotSpot and GraalVM, crafted from the best-of-breed Java libraries and standards. Quarkus tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near-instant scale-up and high-density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile-time boot. Combine both the familiar imperative code and the reactive style when developing applications. Quarkus provides a cohesive, fun-to-use, full-stack framework by leveraging a growing list of over fifty best-of-breed libraries that you love and use. All wired on a standard backbone. The combination of Quarkus and Kubernetes provides an ideal environment for creating scalable, fast, and lightweight applications. Quarkus significantly increases developer productivity with tooling, pre-built integrations, application services, and more.
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Breeze
Deploy a Production Ready Kubernetes Cluster with graphical interface
Deploy a Production Ready Kubernetes Cluster with a graphical interface. Project Breeze is an open source trusted solution that allows you to create Kubernetes clusters on your internal, secure, cloud network with the graphical user interface. As a cloud-native installer project, Breeze is listed in CNCF Cloud Native Interactive Landscape. Breeze combines all resources you need such as kubernetes components images, ansible playbooks for the deployment of kubernetes clusters into a single docker image (wise2c/playbook). It also works as a local RHEL/CentOS yum and Ubuntu apt repository server. You just need a linux server with docker and docker-compose installed to run Breeze. -
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K3s
Lightweight Kubernetes
Lightweight Kubernetes. Production-ready, easy to install, half the memory, all in a binary less than 100 MB. K3s is a highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. K3s is packaged as a single <70MB binary that reduces the dependencies and steps needed to install, run and auto-update a production Kubernetes cluster. Both ARM64 and ARMv7 are supported with binaries and multiarch images available for both. K3s works great on something as small as a Raspberry Pi to an AWS a1.4xlarge 32GiB server. -
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Podman Desktop
A graphical tool for developing on containers and Kubernetes
Podman Desktop is an open source graphical tool enabling you to seamlessly work with containers and Kubernetes from your local environment. Podman Desktop installs, configures, and keeps Podman up to date on your local environment. It provides a system tray, to check status and interact with your container engine without losing focus from other tasks. The desktop application provides a dashboard to interact with containers, images, pods, and volumes but also configures your environment with your OCI registries and network settings. Podman Desktop also provides capabilities to connect and deploy pods to Kubernetes environments. -
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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, resource efficiency, and flexibility of containers. Its key runtime, runsc, integrates seamlessly with container ecosystems such as Docker and Kubernetes, making it easy to deploy sandboxed workloads using familiar tools. By intercepting and safely handling syscalls from applications, gVisor reduces the attack surface of the host kernel, mitigating risks associated with running untrusted or potentially malicious code in containerized environments. -
Business Automation Software for SMBsThe only software you need to increase cash flow, optimize resource utilization, and take control of your assets and inventory.
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cri-dockerd
dockerd as a compliant Container Runtime Interface for Kubernetes
This adapter provides a shim for Docker Engine that lets you control Docker via the Kubernetes Container Runtime Interface. Mirantis and Docker have agreed to partner to maintain the shim code standalone outside Kubernetes, as a conformant CRI interface for the Docker Engine API. For Mirantis customers, that means that Docker Engine’s commercially supported version, Mirantis Container Runtime (MCR), will be CRI compliant. This means that you can continue to build Kubernetes based on the Docker Engine as before, just switching from the built-in docker shim to the external one. Mirantis and Docker intend to work together to make sure it continues to work as well as before and that it passes all the conformance tests and continues to work just like the built-in version did. Mirantis will be using this in Mirantis Kubernetes Engine, and Docker will continue to ship this shim in Docker Desktop. -
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meshery
Meshery, the cloud native manager
Meshery seamlessly integrates with every CNCF project, your existing tools and Kubernetes clusters. This integration empowers you to enhance the use of your preferred monitoring, CI/CD and security solutions. Meshery's Kubernetes-native approach means you can easily incorporate Meshery into your existing workflow without additional setup or integration effort. A self-service engineering platform, Meshery, is the open source, cloud-native manager that enables the design and management of all Kubernetes-based infrastructure and applications. Among other features, As an extensible platform, Meshery offers visual and collaborative GitOps, freeing you from the chains of YAML while managing Kubernetes multi-cluster deployments. -
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Colima
Container runtimes on macOS (and Linux) with minimal setup
Container runtimes on macOS (and Linux) with minimal setup. -
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Kuma
The multi-zone service mesh for containers, Kubernetes and VMs
Kuma is a modern Envoy-based service mesh that can run on every cloud, in a single or multi-zone capacity, across both Kubernetes and VMs. Thanks to its broad universal workload support, combined with native support for Envoy as its data plane proxy technology (but with no Envoy expertise required), Kuma provides modern L4-L7 service connectivity, discovery, security, observability, routing, and more across any service on any platform, databases included. Easy to use, with built-in service mesh policies for security, traffic control, discovery, observability, and more, Kuma ships with advanced multi-zone and multi-mesh support that automatically enables cross-zone communication across different clusters and clouds, and automatically propagates service mesh policies across the infrastructure. Kuma is currently being adopted by enterprise organizations around the world to support distributed service meshes across the application teams, on both Kubernetes and VMs. -
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NVIDIA Container Toolkit
Build and run Docker containers leveraging NVIDIA GPUs
The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. The NVIDIA Container Toolkit supports different container engines in the ecosystem - Docker, LXC, Podman etc. Follow the User Guide for running GPU containers with these engines. The architecture of the NVIDIA Container Toolkit allows for different container engines in the ecosystem - Docker, LXC, Podman to be supported easily. The NVIDIA Container Toolkit provides different options for enumerating GPUs and the capabilities that are supported for CUDA containers. -
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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 locally in the cluster. Pixie uses less than 5% of cluster CPU and in most cases less than 2%. PxL, Pixie’s flexible Pythonic query language, can be used across Pixie’s UI, CLI, and client APIs. -
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Argo CD Image Updater
Automatic container image update for Argo CD
Argo CD Image Updater is a tool to automatically update the container images of Kubernetes workloads which are managed by Argo CD. In a nutshell, it will track image versions specified by annotations on the Argo CD Application resources and update them by setting parameter overrides using the Argo CD API. Currently, it will only work with applications that are built using Kustomize or Helm tooling. Applications built from plain YAML or custom tools are not supported yet (and maybe never will). -
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Argo Rollouts
Progressive Delivery for Kubernetes
Argo Rollouts is a Kubernetes controller and set of CRDs that provide advanced deployment capabilities such as blue-green, canary, canary analysis, experimentation, and progressive delivery features to Kubernetes. Argo Rollouts (optionally) integrates with ingress controllers and service meshes, leveraging their traffic shaping abilities to gradually shift traffic to the new version during an update. Additionally, Rollouts can query and interpret metrics from various providers to verify key KPIs and drive automated promotion or rollback during an update. -
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ContainerSSH
ContainerSSH: Launch containers on demand
An SSH Server that Launches Containers in Kubernetes and Docker. Building a lab environment can be time-consuming. ContainerSSH solves this by providing dynamic SSH access with APIs, automatic cleanup on logout using ephemeral containers, and persistent volumes for storing data. Perfect for vendor and student labs. Provide production access to your developers, give them their usual tools while logging all changes. Authorize their access and create short-lived credentials for the database using simple webhooks. Clean up the environment on disconnect. Study SSH attack patterns up close. Drop attackers safely into network-isolated containers or even virtual machines, and capture their every move using the audit logging ContainerSSH provides. The built-in S3 upload ensures you don't lose your data. -
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Harbor
An open source trusted cloud native registry project that stores
Harbor is an open-source trusted cloud native registry project that stores, signs, and scans content. Harbor extends the open-source Docker Distribution by adding the functionalities usually required by users such as security, identity and management. Having a registry closer to the build-and-run environment can improve the image transfer efficiency. Harbor supports replication of images between registries, and also offers advanced security features such as user management, access control and activity auditing. Harbor is hosted by the Cloud Native Computing Foundation (CNCF). If you are an organization that wants to help shape the evolution of cloud native technologies, consider joining the CNCF. Cloud native registry: With support for both container images and Helm charts, Harbor serves as registry for cloud native environments like container runtimes and orchestration platforms. -
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Skaffold
Easy and Repeatable Kubernetes Development
Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters. Skaffold handles the workflow for building, pushing and deploying your application. It also provides building blocks and describe customizations for a CI/CD pipeline. -
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Harvester
Open source hyperconverged infrastructure (HCI) software
Harvester is a modern, open, interoperable, hyperconverged infrastructure (HCI) solution built on Kubernetes. It is an open-source alternative designed for operators seeking a cloud-native HCI solution. Harvester runs on bare metal servers and provides integrated virtualization and distributed storage capabilities. In addition to traditional virtual machines (VMs), Harvester supports containerized environments automatically through integration with Rancher. It offers a solution that unifies legacy virtualized infrastructure while enabling the adoption of containers from core to edge locations. Harvester is an enterprise-ready, easy-to-use infrastructure platform that leverages local, direct attached storage instead of complex external SANs. It utilizes Kubernetes API as a unified automation language across container and VM workloads. -
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Kubernetes
System to automate management of containerized applications
Kubernetes allows developers to easily update and release applications without any downtime due to containerization. How this works is through Kubernetes modules. - Create cluster - Deploy app - Explore app - Set app public - Scale app - Update app -
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Kubernetes Handbook
Cloud native application architecture practice handbook
Cloud native is a behavioral method and design concept. In its essence, all behaviors or methods that can improve resource utilization and application delivery efficiency on the cloud are cloud-native. The history of cloud computing is a history of cloud native. Kubernetes opened the prelude to cloud native 1.0. The emergence of service mesh Istio led to microservices in the post-Kubernetes era. The rise of serverless has enabled cloud native to advance from the infrastructure layer to the application architecture layer. We are in a cloud native The new era of 2.0. Kubernetes is a container orchestration and scheduling engine developed by Google in June 2014 based on its internal Borg system. Google contributed it as an initial and core project to the CNCF (Cloud Native Computing Foundation). In recent years, it has gradually developed a cloud native Ecology. The goal of Kubernetes is to provide a specification to describe the architecture of the cluster. -
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Strimzi
Apache Kafka® running on Kubernetes
Strimzi provides a way to run an Apache Kafka cluster on Kubernetes in various deployment configurations. Strimzi provides a way to run an Apache Kafka cluster on Kubernetes in various deployment configurations. For development, it’s easy to set up a cluster in Minikube in a few minutes. For production you can tailor the cluster to your needs, using features such as rack awareness to spread brokers across availability zones, and Kubernetes taints and tolerations to run Kafka on dedicated nodes. You can expose Kafka outside Kubernetes using NodePort, Load balancer, Ingress and OpenShift Routes, depending on your needs, and these are easily secured using TLS. The Kube-native management of Kafka is not limited to the broker. You can also manage Kafka topics, users, Kafka MirrorMaker and Kafka Connect using Custom Resources. This means you can use your familiar Kubernetes processes and tooling to manage complete Kafka applications. -
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Sysbox
Open-source, next-generation "runc" that empowers rootless containers
An open-source, next-generation "runc" that empowers rootless containers to run workloads such as Systemd, Docker, and Kubernetes, just like VMs. Think of it as a "container supercharger": it enables your existing container managers/orchestrators (e.g., Docker, Kubernetes, etc.) to deploy containers that have hardened isolation and can run almost any workload that runs in VMs. Sysbox does this by making the container resemble a VM-like environment as much as possible, using advanced OS virtualization techniques. Unlike alternative runtimes such as Kata and KubeVirt, it does not use VMs. This makes it easier to use (particularly in cloud environments by avoiding nested virtualization), although it does not provide the level of isolation that VM-based runtimes do.
