Open Source Container Management Software
Sort By:
Container Management Software
View 112 business solutionsBrowse free open source Container Management software and projects below. Use the toggles on the left to filter open source Container Management software by OS, license, language, programming language, and project status.
-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
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. -
2
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. -
3
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. -
4
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. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
5
kcp Kubernetes
Kubernetes-like control planes for form-factors
kcp can be a building block for SaaS service providers who need a massively multi-tenant platform to offer services to a large number of fully isolated tenants using Kubernetes-native APIs. The goal is to be useful to cloud providers as well as enterprise IT departments offering APIs within their company. kcp takes full advantage of Kubernetes API conventions, the glue that binds the cloud-native technology ecosystem together and imbues Kubernetes popular end-user experience, but kcp has unbound it from Kubernetes workload orchestration and clusters. kcp implements fully-isolated workspaces, each acting as its own Kubernetes-like cluster, with its own URL, its own set of APIs (e.g. different CRDs), its own RBAC, but as cheap and quick as a namespace. -
6
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. -
7
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. -
8
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. -
9
RBAC Manager
A Kubernetes operator that simplifies the management of Role Bindings
RBAC Manager is designed to simplify authorization in Kubernetes. This is an operator that supports declarative configuration for RBAC with new custom resources. Instead of managing role bindings or service accounts directly, you can specify a desired state and RBAC Manager will make the necessary changes to achieve that state. -
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.
-
10
Goldilocks
Get your resource requests "Just Right"
Goldilocks is a utility that can help you identify a starting point for resource requests and limits. By using the Kubernetes vertical-pod-autoscaler in recommendation mode, we can see a suggestion for resource requests on each of our apps. This tool creates a VPA for each workload in a namespace and then queries them for information. Once your VPAs are in place, you'll see recommendations appear in the Goldilocks dashboard. -
11
Colima
Container runtimes on macOS (and Linux) with minimal setup
Container runtimes on macOS (and Linux) with minimal setup. -
12
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. -
13
Kubeval
Validate your Kubernetes configuration files, supports Kubernetes
Kubeval is used to validate one or more Kubernetes configuration files and is often used locally as part of a development workflow as well as in CI pipelines. The Kubernetes API allows for specifying properties on objects that are not part of the schemas. However, kubectl will throw an error if you use it with such files. Kubeval can be used to simulate this behavior using the --strict flag. Alternatively, Kubeval can also take input via stdin which can make using it as part of an automated pipeline easier by removing the need to securely manage temporary files. -
14
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. -
15
Kubeconform
A FAST Kubernetes manifests validator
Kubeconform is a Kubernetes manifest validation tool. Incorporate it into your CI, or use it locally to validate your Kubernetes configuration. -
16
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. -
17
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. -
18
NVIDIA device plugin for Kubernetes
NVIDIA device plugin for Kubernetes
The NVIDIA device plugin for Kubernetes is a Daemonset that allows you to automatically Expose the number of GPUs on each node of your cluster. Keep track of the health of your GPUs. Run GPU-enabled containers in your Kubernetes cluster. -
19
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. -
20
Pyrra
Making SLOs with Prometheus manageable, accessible, and easy to use
Making SLOs with Prometheus manageable, accessible, and easy to use for everyone. When running Pyrra outside of Kubernetes, the SLO object can be provided through a YAML file read from the file system. For this, one container or binary needs to be started with the API argument and the reconciler with the filesystem argument. Here, Pyrra will save the generated recording rules to disk where they can be picked up by a Prometheus instance. While running Pyrra on its own works, there won't be any SLO configured, nor will there be any data from Prometheus to work with. It's designed to work alongside a Prometheus. -
21
kiam
Integrate AWS IAM with Kubernetes
kiam runs as an agent on each node in your Kubernetes cluster and allows cluster users to associate IAM roles with Pods. [a] role is similar to a user, in that it is an AWS identity with permission policies that determine what the identity can and cannot do in AWS. However, instead of being uniquely associated with one person, a role is intended to be assumed by anyone who needs it. Also, a role does not have any credentials (password or access keys) associated with it. Instead, if a user is assigned to a role, access keys are created dynamically and provided to the user. -
22
kubectl node-shell
Exec into node via kubectl
Start a root shell in the node's host OS running. Uses an alpine pod with nsenter for Linux nodes and a HostProcess pod with PowerShell for Windows nodes. -
23
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. -
24
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. -
25
Kubectl-debug
Out-of-tree solution for troubleshooting running pods
kubectl-debug is an out-of-tree solution for troubleshooting running pods, which allows you to run a new container in running pods for debugging purposes (examples). The new container will join the pid, network, user and IPC namespaces of the target container, so you can use arbitrary trouble-shooting tools without pre-installing them in your production container image.
Open Source Container Management Software Guide
Open source container management software is a type of platform used to facilitate the deployment and running of applications that are packaged in containers. Container-based applications can be deployed quickly, securely, and effectively across any infrastructure environment. Containerization helps organizations move away from traditional application architectures and towards more agile solutions that enable faster development cycles and improved scalability.
Container management software provides an environment for developers to develop their applications using containerized services, system tools, and other components such as databases or libraries. It also enables them to easily deploy their applications on virtually any server regardless of operating system or hosting provider without having to make significant configuration changes. In addition, it allows for rapid scaling as apps can be distributed across multiple servers where needed.
The main benefit of open source container management software is its flexibility: since the code is released under an open license, developers have freedom when it comes to customizing and extending the functionality of their app while taking advantage of existing resources like third party libraries or frameworks. Additionally, because it's open source there’s no vendor lock-in so users can choose whatever they want when it comes to hosting providers or cloud environments. Additionally, because open source projects are updated regularly by a global community of contributors most bugs are identified early on making sure your application always has the latest fixes available which reduces security risks significantly when compared with closed alternatives.
Overall open source container management software facilitates faster deployments with less configuration time for organizations allowing them to get good return on their investments through increased agility and scalability while reducing technical debt at the same time.
Open Source Container Management Software Features
- Container Deployment: Open source container management software allows users to quickly and easily deploy containers with a few clicks. Containers are isolated, lightweight applications that package code and all its dependencies into an easily executable unit. This makes deployment of applications much simpler, faster, and more reliable than traditional methods.
- Automated Configuration Management: Open source container management software provides users with automated configuration management capabilities to ensure all their containers remain in the same state throughout their lifecycle. This includes automation for application updates, health checks, logging, scheduling tasks, and resource limits.
- Application Orchestration: Open source container management software simplifies orchestration of multiple application components by allowing users to define rulesets or policies from a single point of control. This provides an easy way for users to manage complex services running on multiple hosts within one environment.
- Scalability: Open source container management software supports highly scalable architectures as it allows operators to increase or decrease the number of instances running per service at any given time in response to traffic requirements or other conditions.
- Monitoring & Logging: With open source container management software, users can monitor events occurring within individual containers and collect log data from each instance in order to identify issues quickly and accurately diagnose problems more effectively than traditional logging methods would allow.
Types of Open Source Container Management Software
- Orchestration Tools: Orchestration tools are designed to manage, configure and scale multiple containerized applications. They provide a suite of powerful features such as health monitoring, service discovery and deployment automation that allow users to quickly deploy and manage their containerized applications.
- Cluster Management Systems: Cluster management systems automate the deployment, scaling and maintenance of containers across an entire cluster of computers in a distributed environment. They enable users to easily create and manage groups of related containers on different nodes within the cluster, while providing necessary features such as fault tolerance and high availability.
- Container Registries: Container registries are repositories for building images which contain all the software necessary to run a containerized application. By using registries, developers can store their images securely while allowing other team members access to them when they need them.
- Containers-as-a-service (CaaS): CaaS providers offer hosted solutions for deploying, managing and operating containerized applications on cloud environments like AWS or Google Cloud Platform (GCP). These services usually include automated configuration management tools combined with pay-as-you go pricing models that provide scalability options for businesses looking to deploy large numbers of containers quickly or switch providers if needed.
- Security Solutions: Security solutions provide visibility into and control over how containers are accessed from outside sources via network access or application programming interfaces (APIs). These services help organizations lockdown their container environments by providing granular security policies that can be applied across multiple regions or clusters for maximum protection against unauthorized access attempts at both the infrastructure and application layers.
Advantages of Open Source Container Management Software
The Benefits of Open Source Container Management Software:
- Low Cost: With open source container management software, organizations can acquire quality container solutions without having to break the bank. As these products are open-source, they often lack professional support and feature upgrades; yet they still provide organizations an affordable way to manage their applications and containers.
- Flexibility: With a plethora of options available for deployment, organizations have the flexibility to choose from a variety of tools based on their own needs and preferences. Additionally, many open source container management software solutions offer features that can be customized or tailored as per the requirement.
- Easy Setup & Deployment: As most open source container management software solutions do not require extensive setup procedures, users can quickly get started with their projects in minimal time and effort. Even though some products may require certain steps for installation or customization, most of them offer straightforward instructions that make it easy to set up the desired environment within minutes or hours even if you don't have any technical background.
- Automation Capabilities: Most open source container management software comes equipped with automation capabilities that allow users to automate common tasks such as deploying, managing, scaling and monitoring applications in containers without having to manually input commands or configurations every single time something needs done. This helps save significant amount of time while ensuring consistency across all deployments throughout environments.
- Scalability & Portability: Using an open-source container solution makes it easier for developers to move their code into production quickly without worrying about compatibility problems between different systems. Furthermore, these solutions enable scalability by allowing organizations to easily add new nodes/containers as needed rather than having to invest in additional hardware every time more resources are required.
Types of Users That Use Open Source Container Management Software
- Developer: Developers are the people that use open source container management software to create and deploy applications. They often do this by creating and modifying Docker images, interacting with the Kubernetes API, or working directly with orchestration tools like Swarm or Kubernetes.
- System Administrator: System Administrators are responsible for maintaining the overall health of their cluster of machines. This includes managing nodes, setting up networking and storage resources, deploying applications in containers, monitoring performance metrics and more.
- Data Analyst: Data Analysts use open source container management software to analyze data from various sources such as databases, message queues and other types of systems. They focus on delivering insights into trends and correlations between datasets using techniques like machine learning or natural language processing.
- DevOps Engineer: DevOps Engineers are responsible for automating processes related to software development and deployment via scripts written specifically for cloud infrastructure utilizing open source container management software such as Kubernetes or Docker Compose. They also work closely with developers to ensure application delivery is seamless and efficient across different environments.
- Security Researcher: Security Researchers use open source container technologies to discover weaknesses in codebase or underlying systems within a cluster of nodes running containers through penetration testing or fuzzing tests that simulate real world attack scenarios in complex networked environments.
How Much Does Open Source Container Management Software Cost?
Open source container management software does not have a set cost; it is a free resource that is available to anyone who wishes to use and modify it. The cost associated with implementing an open source container management software depends on the particular system being used, as well as any additional resources (such as support services) purchased. In general, however, the upfront costs of using open source container management software are quite minimal compared to commercial products.
The primary cost associated with using this type of software comes from implementation and ongoing maintenance. Depending on the project’s requirements for availability, scalability, and uptime, organizations may choose to deploy their own infrastructure or opt for cloud-hosted solutions such as Google Kubernetes Engine or Amazon EKS. These services provide an enterprise-grade platform that applies automated upgrades, intelligent scaling and other features to ensure optimal performance. While these services come at an additional cost, they also provide users with advanced security measures and automation capabilities not found in self-managed infrastructures.
In addition to these fees charged by cloud providers, organizations may incur additional costs associated with training personnel who will work with the technology and researching best practices related to installation and configuration of container management systems. Companies may also need help utilizing new tools - either commercially provided or developed internally - which could involve investments in third party consulting fees or professional development for existing staff members.
Overall, open source container management software does not require significant upfront investments but does entail some costs related to implementation, maintenance and support depending on the specific project needs of a given organization.
What Software Does Open Source Container Management Software Integrate With?
Open source container management software can integrate with a variety of different types of software. This includes systems for network and storage, such as virtualized storage, distributed file systems, and distributed block storage. It can also include orchestration tools like Kubernetes or Apache Mesos for deploying applications at scale and monitoring clusters for optimal performance. Additionally, open source container management software is often used in conjunction with development tools like Jenkins or Travis CI to automate the build and deployment process. Finally, it can be used to connect with cloud providers like AWS or Google Cloud Platform in order to enable efficient deployment on production environments.
Trends Related to Open Source Container Management Software
- Reduction in Cost: Open source container management software is free or open source, helping companies save money on costly software licenses. This cost savings can be used to expand cloud computing initiatives or invest in other areas.
- Increased Agility: Open source container management software allows for faster development cycles and deployment of applications, helping companies respond quickly to customer needs.
- Improved Collaboration: Open source container management software makes it easier for developers to collaborate on projects and share code and resources. The ability to use the same tools and frameworks helps accelerate innovation.
- Enhanced Security: Open source container management software enables companies to leverage their existing security measures and ensure their applications are secure from the start.
- Broader Support: Open source container management software provides a larger pool of experts, who can help companies troubleshoot problems and quickly deploy new features.
- More Automation: Open source container management software can automate many of the tasks associated with managing containers, such as scaling, monitoring, logging, and more. This helps streamline processes and reduce manual labor.
How Users Can Get Started With Open Source Container Management Software
Getting started with open source container management software is a great way to save time, effort and money while increasing the efficiency of your operations. Container management software can help you deploy, manage and monitor your applications in containers on multiple platforms like Kubernetes, Docker or OpenShift.
- The first step for getting started with open source container management software is to identify what type of platform you would like to use. For example, if you are already familiar with Docker then this may be your ideal choice. Likewise, if you want something that is more tailored towards large-scale enterprise applications then one option could be Kubernetes or OpenShift. It’s important to note that each platform has its own strengths and weaknesses so it’s important to do some research before making a final decision.
- Once you have identified the platform that best meets your needs, it’s time to begin setting up the environment for using open source container management software. This involves installing relevant packages such as the appropriate operating system (e.g., Ubuntu), service providers such as Docker swarm or Apache Mesos, configuration files such as YAML files (if needed) and command line tools such as kubectl and docker compose. Once all these pieces have been put in place, users will be ready to start using their chosen open source container management system.
- Next comes deploying containers on the new environment which requires users to define the desired state of their application containers either via configuration code or a graphical user interface (GUI). Here users will determine aspects like resource limits on CPU/memory/disk space and storage systems required for data persistance among other things – all essential parts of an effective container deployment strategy.
- After creating their desired state definition for their applications, users should configure networking for intra-cluster communications between nodes by leveraging overlay networks provided by most mainstream platforms including Kubernetes and Docker Swarm manager services; after which they can begin scheduling workloads across cluster nodes via APIs provided by each respective project (e.g., the kubelet API from Kubernetes). Finally users can monitor resource utilization of individual clusters through dashboard interfaces such as those offered by Grafana or Prometheus on top of metrics collected by cAdvisor depending on which project they have selected earlier in this process – further guaranteeing that their newly deployed environments remain stable over time under ever changing traffic loads & workloads thrown at them during day-to-day usage scenarios.
