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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1
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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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. -
3
Robusta
Kubernetes observability and automation
Keep your Kubernetes microservices up and running. Connect your existing Prometheus, gain 360° observability. Robusta is both an automation engine for Kubernetes and a multi-cluster observability platform. Robusta is commonly used alongside Prometheus, but other tools are supported too. By listening to all the events in your cluster, Robusta can tell you why alerts fired, what happened at the same time, and what you can do about it. Robusta can either improve your existing alerts or be used to define new alerts triggered by APIServer changes. -
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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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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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Kueue
Kubernetes-native Job Queueing
Kueue is a set of APIs and controllers for job queueing. It is a job-level manager that decides when a job should be admitted to start (as in pods can be created) and when it should stop (as in active pods should be deleted). Use Kueue to build a multi-tenant batch service with quotas and a hierarchy for sharing resources among teams in your organization. Based on the available quotas, Kueue decides when jobs should wait and when and where they should run. Kueue works in combination with standard kube-scheduler, cluster-autoscaler, and the rest of the Kubernetes ecosystem. This combination allows Kueue to run both on-prem and in the cloud, where resources can be heterogeneous, fungible, and dynamically provisioned. -
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StackRox Kubernetes
Performs a risk analysis of the container environment
The StackRox Kubernetes Security Platform performs a risk analysis of the container environment, delivers visibility and runtime alerts, and provides recommendations to proactively improve security by hardening the environment. StackRox integrates with every stage of the container lifecycle: build, deploy and runtime. The StackRox Kubernetes Security platform is built on the foundation of the product formerly known as Prevent, which itself was called Mitigate and Apollo. You may find references to these previous names in code or documentation. -
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Kaniko
Build Container Images In Kubernetes
kaniko is a tool to build container images from a Dockerfile, inside a container or Kubernetes cluster. kaniko doesn't depend on a Docker daemon and executes each command within a Dockerfile completely in userspace. This enables building container images in environments that can't easily or securely run a Docker daemon, such as a standard Kubernetes cluster. -
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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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10
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. -
11
KEDA
KEDA is a Kubernetes-based Event Driven Autoscaling component
KEDA is a Kubernetes-based Event Driven Autoscaler. With KEDA, you can drive the scaling of any container in Kubernetes based on the number of events needing to be processed. KEDA is a single-purpose and lightweight component that can be added to any Kubernetes cluster. KEDA works alongside standard Kubernetes components like the Horizontal Pod Autoscaler and can extend functionality without overwriting or duplication. With KEDA you can explicitly map the apps you want to use event-driven scale, with other apps continuing to function. This makes KEDA a flexible and safe option to run alongside any number of other Kubernetes applications or frameworks. -
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Kong Ingress Controller Kubernetes (KIC)
Kong for Kubernetes: The official Ingress Controller for Kubernetes
Kong Ingress Controller allows you to run Kong Gateway as a Kubernetes Ingress to handle inbound requests for a Kubernetes cluster. Kong Ingress Controller takes Kubernetes resources such as Ingress and HTTPRoute and converts them into a valid Kong Gateway configuration. It enables you to use all the features of Kong Gateway. A Kubernetes ingress controller is an application that runs in a cluster and configures a load balancer based on Kubernetes resources (Ingress, HTTPRoute, TCPRoute, and more). Kong Ingress Controller configures Kong Gateway as a software load balancer that runs in the cluster and is typically exposed as a LoadBalancer service. Kong recommends using the Kong/ingress Helm chart to deploy the Kong Ingress Controller. This chart supports both DB-less and DB-backed deployments. If you’re not sure which to choose, we recommend choosing DB-less which treats the Kubernetes API server as the source of truth. -
13
cri-tools
CLI and validation tools for Kubelet Container Runtime Interface (CRI)
CLI and validation tools for Kubelet Container Runtime Interface (CRI). cri-tools aims to provide a series of debugging and validation tools for Kubelet CRI. It's recommended to use the same cri-tools and Kubernetes minor version, because new features added to the Container Runtime Interface (CRI) may not be fully supported if they diverge. cri-tools 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-tools, because they are scheduled for each month, whereas cri-tools provides them only if necessary. If a Kubernetes release goes End of Life, then the corresponding cri-tools version can be considered in the same way. -
14
s6-overlay
s6 overlay for containers (includes execline, s6-linux-utils
s6-overlay is an easy-to-install (just extract a tarball or two!) set of scripts and utilities allowing you to use existing Docker images while using s6 as a pid 1 for your container and process supervisor for your services. -
15
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. -
16
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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PaaSTA
An open, distributed platform as a service
PaaSTA is a highly-available, distributed system for building, deploying, and running services using containers and Kubernetes. PaaSTA has been running production services at Yelp since 2016. It was originally designed to run on top of Apache Mesos but has subsequently been updated to use Kubernetes. Over time the features and functionality that PaaSTA provides have increased but the principal design remains the same. PaaSTA aims to take a declarative description of the services that teams need to run and then ensures that those services are deployed safely, efficiently, and in a manner that is easy for the teams to maintain. Rather than managing Kubernetes YAML files, PaaSTA provides a simplified schema to describe your service and in addition to configuring Kubernetes it can also configure other infrastructure tools to provide monitoring, logging, cost management etc. -
18
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. -
19
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. -
20
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. -
21
Bank of Anthos
Retail banking sample application showcasing Kubernetes
Bank of Anthos is a sample HTTP-based web app that simulates a bank's payment processing network, allowing users to create artificial bank accounts and complete transactions. Google uses this application to demonstrate how developers can modernize enterprise applications using Google Cloud products, including: Google Kubernetes Engine (GKE), Anthos Service Mesh (ASM), Anthos Config Management (ACM), Migrate to Containers, Spring Cloud GCP, Cloud Operations, Cloud SQL, Cloud Build, and Cloud Deploy. This application works on any Kubernetes cluster. -
22
Colima
Container runtimes on macOS (and Linux) with minimal setup
Container runtimes on macOS (and Linux) with minimal setup. -
23
KDash
A simple and fast dashboard for Kubernetes
A simple terminal dashboard for Kubernetes built with Rust. KDash only offers a view of the resources with a focus on speed and UX. Really, if something is slow or has bad UX then please raise a bug. Hence the UI/UX is designed to be more user-friendly and easier to navigate with contextual help everywhere and a tab system to switch between different resources easily. -
24
Kubie
A more powerful alternative to kubectx and kubens
kubie is an alternative to kubectx, kubens, and the k on prompt modification script. It offers context switching, namespace switching, and prompt modification in a way that makes each shell independent from others. It also has support for split configuration files, meaning it can load Kubernetes contexts from multiple files. You can configure the paths where Kubie will look for contexts, see the settings section. Kubie also has other nice features such as kubie exec which allows you to execute commands in a context and a namespace without having to spawn a shell and kubie lint which scans your k8s config files for issues and informs you of what they are. -
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Lens Mirantis
Lens - The way the world runs Kubernetes
Kubernetes is the OS for the cloud. Thousands of businesses and people develop and operate their Kubernetes on Lens, the largest and most advanced Kubernetes platform in the world. Lens Desktop works with any Kubernetes. It removes complexity and increases productivity. It’s used by everyone, from devs to ops and startups to large companies. Expand the core functionality of Lens Desktop with Desktop Kubernetes, Teamwork, Security and Commercial Support for increased productivity and time to value. Deliver software faster with the world’s #1 Kubernetes IDE. Transform Kubernetes complexity into clarity. Empower your teams to focus on what matters most.
