Best Container Management Software Platforms for Docker

Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location. Kasm is revolutionizing the way businesses deliver digital workspaces. We use our open-source web native container streaming technology to create a modern devops delivery of Desktop as a Service, application streaming, and browser isolation. Kasm is more than a service. It is a platform that is highly configurable and has a robust API that can be customized to your needs at any scale. Workspaces can be deployed wherever the work is. It can be deployed on-premise (including Air-Gapped Networks), in the cloud (Public and Private), or in a hybrid.

Portainer Business makes managing containers easy. It is designed to be deployed from the data centre to the edge and works with Docker, Swarm and Kubernetes. It is trusted by more than 500K users. With its super-simple GUI and its comprehensive Kube-compatible API, Portainer Business makes it easy for anyone to deploy and manage container-based applications, triage container-related issues, set up automate Git-based workflows and build CaaS environments that end users love to use. Portainer Business works with all K8s distros and can be deployed on prem and/or in the cloud. It is designed to be used in team environments where there are multiple users and multiple clusters. The product incorporates a range of security features - including RBAC, OAuth integration and logging, which makes it suitable for use in large, complex production environments. For platform managers responsible for delivering a self-service CaaS environment, Portainer includes a suite of features that help control what users can / can't do and significantly reduces the risks associated with running containers in prod. Portainer Business is fully supported and includes a comprehensive onboarding experience that ensures you get up and running.

Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.

You can use your favorite debugging software to locally troubleshoot your Kubernetes services. Telepresence, an open-source tool, allows you to run one service locally and connect it to a remote Kubernetes cluster. Telepresence was initially developed by Ambassador Labs, which creates open-source development tools for Kubernetes such as Ambassador and Forge. We welcome all contributions from the community. You can help us by submitting an issue, pull request or reporting a bug. Join our active Slack group to ask questions or inquire about paid support plans. Telepresence is currently under active development. Register to receive updates and announcements. You can quickly debug locally without waiting for a container to be built/push/deployed. Ability to use their favorite local tools such as debugger, IDE, etc. Ability to run large-scale programs that aren't possible locally.

Our platform allows you create distributed coding and data science processes with contractors, freelancers, and developers located anywhere. They work on their own devices, while auditing your data and ensuring data security. Strong Network has created a multi-cloud platform we call Virtual Workspace Infrastructure. It allows companies to securely unify their access to their global data science and coding processes via a simple web browser. The VWI platform is an integral component of their DevSecOps process. It doesn't require integration with existing CI/CD pipelines. Process security is focused on data, code, and other critical resources. The platform automates the principles and implementation of Zero-Trust Architecture, protecting the most valuable IP assets of the company.

8gears Container Registry is a Harbor-based container registry as a service offered and operated by the project's maintainer and contributors

CloudPlex is an enterprise cloud platform that supports both technical and business requirements for cloud computing. It manages all aspects of app management, including security, governance, orchestration, and cost management. The platform manages legacy, container-based, and cloud-native applications on all major public cloud providers in a single place. It allows for an automated process of application provisioning and orchestration. CloudPlex is a cloud-spend management solution that addresses the business requirements of enterprises. It provides a complete estimate, review, approval, change management workflow, and end-to-end licensing management.

Amazing teams can use Automagic cloud hosting. Scalingo empowers software teams with the ability to manage entire lifecycles of their applications, from prototypes to production-ready apps. Simply push your code and your application stack and dependencies will be automatically detected and packaged. Continuous delivery is possible with instant deployment, instant availability, and instant work. Without DevOps. Start small and grow later. Instantly, from a prototype to production-grade infrastructure. Billed by the minute. You can have anywhere from 1 to 100 containers ready in a matter of seconds to handle peak traffic or absorb your normal growth. All automated processes ensure that continuous deployment is done seamlessly. Your application is allocated dedicated resources. We ensure that all containers are isolated from other containers.

With an OCI distribution fully managed and geo-replicated, you can create, store, secure and scan container images and artifacts. Connect across Azure services such as Azure Kubernetes Service, Azure Red Hat OpenShift and Batch. Geo-replication allows you to efficiently manage multiple registry locations. OCI artifact repository to add helm charts, singularity support and new OCI-supported formats. Automated container building, patching, and updates of base images. Task scheduling. Integrate security with Azure Active Directory (AzureAD) authentication, role-based control, Docker content trusted, and virtual network integration. Azure Container Registry Tasks streamlines the process of building, testing and pushing images to Azure.

You can store and distribute container images in a private registry that is fully managed. Push private images to run them in the IBM Cloud®, Kubernetes Service or other runtime environments. Images are checked for security issues to help you make informed decisions about your deployments. To use the command line, install the IBM Cloud Container Registry CLI. This will allow you to manage your namespaces and Docker images in IBM Cloud®. The IBM Cloud console provides information about vulnerabilities and security of images in the IBM Cloud Container Registry private and public repositories. You can check the security status of container image that have been added to your registry namespace by third parties, IBM, or by your organization.

Mesos is built on the same principles as Linux, but at a higher level of abstraction. The Mesos kernel runs at every machine. It provides applications (e.g. Hadoop, Spark Kafka, Elasticsearch, Kafka) with API's that allow for resource management and scheduling across all datacenters and cloud environments. Native support for Docker and AppC images launching containers. Support for legacy and cloud native applications running in the same cluster using pluggable scheduling policies.

AWS Fargate, a serverless compute engine that runs containers, works with both Amazon Elastic Container Service and Amazon Elastic Kubernetes Service. Fargate makes it simple for you to concentrate on building your applications. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources. Fargate also improves security by application isolation by design. Fargate allocates the correct amount of compute, eliminating the need for instances to scale cluster capacity and choosing instances. You only pay for what you use to run your containers. There is no need to over-provision or purchase additional servers. Fargate runs each task and pod in its own kernel, giving them their own isolated computing environment. This allows your application to be isolated from the workload and provides greater security by design.

One platform allows you to manage virtual machines, containers, networks, storage, and more from one place. Connect ManageIQ with your virtualization, container and network management systems. ManageIQ will discover inventory, map relationships and listen for any changes. This creates a rich, current, and cross-referenced data set that is the foundation for our advanced management capabilities. You can create bundles of resources and then publish them in a service catalogue, where end users can order them. Once a service is provisioned you can manage its entire life cycle, including policy, compliance and chargeback/showback. To create advanced security and compliance policies, scan the contents of all your VMs, hosts, containers and combine it with auto discovery data. Content scanning works without an agent and works on any VM, even those that are not cooperating.

Instainer, a Docker container hosting platform, allows you to run any Docker container instantly on the cloud using Heroku-style Git deployment. We felt that there was something missing when we began to migrate to Docker within our company. Although Docker provided amazing capabilities for our DevOps team but there was no service that could instantly run Docker containers. We are doers. Instainer was created for engineers who want to instantly run Docker containers on cloud. We welcome your feedbacks and thoughts. instainer provides Heroku-style Git deployment for your containers. After you run your container, instainer creates a Git repository and pushes your container data into this repository. You can easily clone or modify your data with Git. WordPress rich content management system supports plugins, widgets and themes.

WhaleDeck is the ultimate app to monitor and control your Docker containers. WhaleDeck's user-friendly interface is packed with powerful features. It is the only tool that you need to manage Docker environments. WhaleDeck's real time visualization of CPU, Memory, Drive and Network usage allows you to easily monitor your containers. Log viewer allows you to keep track of container logs, and identify problems quickly. With the ability to manage multiple servers simultaneously, you can manage all your Docker environments in one place. You can control your containers by running actions such as start, stop and pause for a single container, or multiple containers, at the same time. Split View allows you to work more efficiently by displaying multiple parts of your Docker Environment side-by-side. WhaleDeck is the perfect tool for anyone who needs to manage Docker Containers, whether they are developers, DevOps engineers, or simply someone who wants to manage Docker Containers.

Doctor Droid, an AI-driven platform, is designed to revolutionize monitoring for engineering teams. It automates complex investigation, using standard operating procedures, to analyze data from multiple integrations, identify the root causes, and execute runbooks for self healing. Doctor Droid, by proactively listening for notifications, prepares relevant data, insights and reduces on-call times up to 80%. Engineers can respond quickly. It enables rapid onboarding for new engineers by automating search for documents, learning tools, and understanding the data. This allows them to become primary on call from day one. Doctor Droid can perform ad hoc investigations such as analyzing Kubernetes Clusters or checking recent deployments. It adapts and creates a new plan based on suggestions and documents. It integrates seamlessly across over 40 tools.

Containers have taken over the world of software development. Containers are vital for DevOps deployment and have many uses for developers. Containers are much more efficient than Virtual Machines in that they require very little resources, can be deployed quickly, and scale easily. Docker is the ideal tool to manage agile products, projects, and companies. Kubernetes can be complex. sloppy.io takes care of all the details, including storage providers, overlay networks, and ingress controllers. We provide the infrastructure to host your Docker containers. We connect them securely to your users and store your data reliably. Our web-based UI, command-line tools (CLI), as well as API allow you to deploy and monitor your projects. Our support chat connects only to software engineers and operations experts who are available to assist.

Docker 4.0 and higher include swarm mode, which allows you to manage a cluster of Docker Engines. The Docker CLI allows you to create a cluster, deploy applications to it, and manage its behavior. Cluster management integrated with Docker Engine. Use the Docker Engine CLI for cluster management. To create or manage a cluster, you don't need any additional orchestration software. Decentralized design: The Docker Engine does not handle differentiation between node roles at deployment. Instead, it handles any specialization at runtime. The Docker Engine can be used to deploy both managers and workers. This allows you to create a whole swarm using a single disk image. Declarative service model: Docker Engine uses this declarative approach to allow you to define the desired state for the various services within your application stack.

A Moby Project engine from Docker that is specifically designed for embedded and IoT use. It is 3.5x smaller than Docker CE and packaged as one binary. There are many chipset architectures that can be used to support everything from small IoT devices to large industrial gateways. Bandwidth-efficient updates using binary diffs are 10-70x less than pulling layers in most scenarios. To prevent unnecessary writing to disk, extract layers as they arrive. This protects your storage from possible corruption. In the event of power outage, durable and atomic image pulls protect against partial container pulls. Image pull prevents page cache thrashing, so your application runs unaffected in low-memory environments. balenaEngine, a new container engine designed for embedded and IoT use and compatible with Docker containers, is now available. BalenaEngine, which is based on Docker's Moby Project technology, supports container deltas that provide 10-70x more efficient bandwidth usage.

Connect your private registries easily and share images with the team. To find the right container image to fit your project, browse the largest public registries in the world. Software security is impossible if you don't know what's inside your containers. The Slim platform removes the veil from container internals, allowing you to analyze, optimize, compare, and compare changes across multiple versions or containers. DockerSlim is an open-source project that automatically optimizes container images. You can eliminate dangerous or bulky packages so that you only ship what you need. Learn how the Slim platform can help you and your team automatically improve security and software supply chain security, tune containers to ensure development, testing, production, and shipping secure container-based apps to cloud. The platform is free to use and accounts are available for no cost. We are container enthusiasts, not salespeople. Therefore, we understand that privacy and security are fundamental principles of our business.

Kata Containers is Apache 2 software. It consists of two main components: Kata Agent and Kata Containerd Shim v2 runtime. It also includes a Linux kernel, versions of QEMU and Cloud Hypervisor, as well as Firecracker hypervisors. Kata Containers are light and fast, integrate with container management layers (including popular orchestration tools like Docker and Kubernetes), and offer the security benefits of VMs. Kata Containers currently supports Linux (host or guest). We have instructions for installing several popular distributions on the host side. Clear Linux, Fedora and CentOS 7 rootfs images are available out-of-the box through the OSBuilder. This can also be used to roll guest images.

Create apps that run anywhere, publish, share them with the community and deploy them to the edge globally. You can serve sandboxed WebAssembly applications anywhere using a single runtime. This will allow you to do in days what other people do in months. The days of using a binary on each platform and chip are over. Lightweight containerized apps run anywhere. Supports nearly every programming language. Truly universal. Runs everywhere and as fast as native. No longer are packages limited by their language. Contribute your own packages, collaborate across stacks and leverage the ecosystem. You can have the scalability and reusability that comes with serverless, but also the scalability and reusability that comes with the cloud. Save your users' time and money by deploying to the edge. Faster, more affordable and infinitely scalable. All languages are containerized and collaborative. Plug in your own backend or compiler. Run apps at speeds close to native and outperform your competition.

Deploying container-based web applications has never been easier. Web App for Containers can deploy containerized apps with your chosen dependencies in production within seconds by pulling images from Docker Hub, Azure Container Registry or private Azure Container Registry. The platform takes care of OS patches, capacity provisioning and load balancing. Automatically scale vertically or horizontally according to application needs. Granular scaling rules can be used to automatically handle peak workloads while minimizing costs at off-peak hours. With just a few mouse clicks, you can deploy data and host services to multiple locations.