Open Source Mac Container Management Software
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Container Management Software for Mac
View 16 business solutionsBrowse free open source Container Management software and projects for Mac 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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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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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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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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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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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. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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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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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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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. -
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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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DevOps
Contains learning resources related to DevOps tools and tech
I created this repository to keep my learning, notes, and code in one place for various tools in DevOps. Now, it's helping thousands of learners, practitioners, and professionals every day in their DevOps journey. -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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10
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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Kata Containers
Build a standard implementation of lightweight Virtual Machines (VMs)
Kata Containers is an open source container runtime, building lightweight virtual machines that seamlessly plug into the container ecosystem. Kata Containers is an open source community working to build a secure container runtime with lightweight virtual machines that feel and perform like containers, but provide stronger workload isolation using hardware virtualization technology as a second layer of defense. Since launching in December 2017, the community successfully merged the best parts of Intel Clear Containers with Hyper.sh RunV and scaled to include support for major architectures including AMD64, ARM, IBM p-series, and IBM z-series in addition to x86_64. Kata Containers also supports multiple hypervisors including QEMU, Cloud-Hypervisor, and Firecracker, and integrates with the containerd project among others. -
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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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NVIDIA GPU Operator
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
Kubernetes provides access to special hardware resources such as NVIDIA GPUs, NICs, Infiniband adapters and other devices through the device plugin framework. However, configuring and managing nodes with these hardware resources requires the configuration of multiple software components such as drivers, container runtimes or other libraries which are difficult and prone to errors. The NVIDIA GPU Operator uses the operator framework within Kubernetes to automate the management of all NVIDIA software components needed to provision GPU. These components include the NVIDIA drivers (to enable CUDA), Kubernetes device plugin for GPUs, the NVIDIA Container Runtime, automatic node labeling, DCGM-based monitoring, and others. -
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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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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. -
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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). -
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LINKERD
Ultralight, security-first service mesh for Kubernetes
Enterprise power without enterprise complexity. Linkerd adds security, observability, and reliability to any Kubernetes cluster. 100% open source, CNCF graduated, and written in Rust. Instantly add latency-aware load balancing, request retries, timeouts, and blue-green deploys to keep your applications resilient. Incredibly small and blazing fast Linkerd2-proxy micro-proxy written in Rust for security and performance. Self-contained control plane, incrementally deployable data plane, and lots and lots of diagnostics and debugging tools. Transparently add mutual TLS to any on-cluster TCP communication with no configuration. Designed by engineers, for engineers. -
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XPipe
Your entire server infrastructure at your fingertips
Introducing the brand-new shell connection hub and remote file manager that is ready to take on the challenges of modern infrastructure. XPipe takes a completely new approach to handling shell connections, which makes it possible to provide features that you can't find anywhere else. Explore what makes XPipe stand out. All SSH user and system configuration settings are automatically applied. Your existing SSH agent can be utilized to securely authenticate, there is no need to provide your keys and passwords. Supports the use of gateways and jump servers to establish connections via intermediate systems. Support for all types of SSH tunnels plus a dynamic state control to quickly open and close tunnels in the background. -
19
Colima
Container runtimes on macOS (and Linux) with minimal setup
Container runtimes on macOS (and Linux) with minimal setup. -
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KUDO
Kubernetes Universal Declarative Operator (KUDO)
Kubernetes Universal Declarative Operator (KUDO) provides a declarative approach to building production-grade Kubernetes Operators covering the entire application lifecycle. The Kubernetes Universal Declarative Operator (KUDO) is a highly productive toolkit for writing Kubernetes Operators. Using KUDO you can deploy your applications, have the tools needed to operate them, and understand how they're behaving, all without a Ph.D. in Kubernetes. KUDO lets you configure an Operator’s entire lifecycle using a declarative spec, including things like backup/restore. You don’t have to write Go unless you want to. -
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Kubermatic Kubernetes Platform
The Central Kubernetes Management Platform For Any Infrastructure
Kubermatic Kubernetes Platform is in an open source project to centrally manage the global automation of thousands of Kubernetes clusters across multicloud, on-prem and edge with unparalleled density and resilience. Kubermatic Kubernetes Platform Community Edition (CE) is available freely under the Apache License, Version 2.0. Kubermatic Kubernetes Platform Enterprise Edition (EE) includes premium features that are most useful for organizations with large-scale Kubernetes installations with more than 50 clusters. To access the Enterprise Edition and get official support please become a subscriber. -
22
Kubernetes
System to automate management of containerized applications
Kubernetes is an open-source container orchestration platform designed to automate the deployment, scaling, and management of containerized applications. Also known as K8s, it groups application containers into logical units for efficient management and service discovery. Built on Google’s extensive experience running production workloads at massive scale, Kubernetes delivers proven reliability and performance. It supports automated rollouts, self-healing, load balancing, and flexible storage orchestration. Kubernetes runs consistently across on-premises, hybrid, and public cloud environments, giving teams complete infrastructure freedom. -
23
Status
Minimal docker container status panel
A minimal docker container management panel written in Python / Flask. Before installing this project, please, make sure you have installed docker and docker-compose. -
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crun
A fast and lightweight fully featured OCI runtime and C library
A fast and low-memory footprint OCI Container Runtime fully written in C. While most of the tools used in the Linux containers ecosystem are written in Go, I believe C is a better fit for a lower-level tool like container runtime. runc, the most used implementation of the OCI runtime specs written in Go, re-execs itself and uses a module written in C for setting up the environment before the container process starts. crun aims to be also usable as a library that can be easily included in programs without requiring an external process for managing OCI containers. -
25
kail
Kubernetes log viewer
Kubernetes tail. Streams logs from all containers of all matched pods. Match pods by service, replicaset, deployment, and others. Adjusts to a changing cluster - pods are added and removed from logging as they fall in or out of the selection. With no arguments, kail matches all pods in the cluster. You can control the matching pods with arguments that select pods based on various criteria.
