Alternatives to Kata Containers

Deploy sophisticated applications using a secure and managed Kubernetes platform. GKE serves as a robust solution for running both stateful and stateless containerized applications, accommodating a wide range of needs from AI and ML to various web and backend services, whether they are simple or complex. Take advantage of innovative features, such as four-way auto-scaling and streamlined management processes. Enhance your setup with optimized provisioning for GPUs and TPUs, utilize built-in developer tools, and benefit from multi-cluster support backed by site reliability engineers. Quickly initiate your projects with single-click cluster deployment. Enjoy a highly available control plane with the option for multi-zonal and regional clusters to ensure reliability. Reduce operational burdens through automatic repairs, upgrades, and managed release channels. With security as a priority, the platform includes built-in vulnerability scanning for container images and robust data encryption. Benefit from integrated Cloud Monitoring that provides insights into infrastructure, applications, and Kubernetes-specific metrics, thereby accelerating application development without compromising on security. This comprehensive solution not only enhances efficiency but also fortifies the overall integrity of your deployments.

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.

Docker streamlines tedious configuration processes and is utilized across the entire development lifecycle, facilitating swift, simple, and portable application creation on both desktop and cloud platforms. Its all-encompassing platform features user interfaces, command-line tools, application programming interfaces, and security measures designed to function cohesively throughout the application delivery process. Jumpstart your programming efforts by utilizing Docker images to craft your own distinct applications on both Windows and Mac systems. With Docker Compose, you can build multi-container applications effortlessly. Furthermore, it seamlessly integrates with tools you already use in your development workflow, such as VS Code, CircleCI, and GitHub. You can package your applications as portable container images, ensuring they operate uniformly across various environments, from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE, and beyond. Additionally, Docker provides access to trusted content, including official Docker images and those from verified publishers, ensuring quality and reliability in your application development journey. This versatility and integration make Docker an invaluable asset for developers aiming to enhance their productivity and efficiency.

AWS Fargate serves as a serverless compute engine tailored for containerization, compatible with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). By utilizing Fargate, developers can concentrate on crafting their applications without the hassle of server management. This service eliminates the necessity to provision and oversee servers, allowing users to define and pay for resources specific to their applications while enhancing security through built-in application isolation. Fargate intelligently allocates the appropriate amount of compute resources, removing the burden of selecting instances and managing cluster scalability. Users are billed solely for the resources their containers utilize, thus avoiding costs associated with over-provisioning or extra servers. Each task or pod runs in its own kernel, ensuring that they have dedicated isolated computing environments. This architecture not only fosters workload separation but also reinforces overall security, greatly benefiting application integrity. By leveraging Fargate, developers can achieve operational efficiency alongside robust security measures, leading to a more streamlined development process.

Oracle Container Cloud Service, also referred to as Oracle Cloud Infrastructure Container Service Classic, delivers a streamlined and secure Docker containerization experience for Development and Operations teams engaged in application development and deployment. It features a user-friendly interface that facilitates the management of the Docker environment. Additionally, it offers ready-to-use examples of containerized services and application stacks that can be deployed with just a single click. This service allows developers to seamlessly connect to their private Docker registries, enabling them to utilize their own containers. Furthermore, it empowers developers to concentrate on the creation of containerized application images and the establishment of Continuous Integration/Continuous Delivery (CI/CD) pipelines, freeing them from the complexities of mastering intricate orchestration technologies. Overall, the service enhances productivity by simplifying the container management process.

Podman is a container engine that operates without a daemon, designed for the development, management, and execution of OCI Containers on Linux systems. It enables users to run containers in both root and rootless modes, effectively allowing you to think of it as a direct replacement for Docker by using the command alias docker=podman. With Podman, users can manage pods, containers, and container images while offering support for Docker Swarm. We advocate for the use of Kubernetes as the primary standard for creating Pods and orchestrating containers, establishing Kubernetes YAML as the preferred format. Consequently, Podman facilitates the creation and execution of Pods directly from a Kubernetes YAML file through commands like podman-play-kube. Additionally, it can generate Kubernetes YAML configurations from existing containers or Pods using podman-generate-kube, streamlining the workflow from local development to deployment in a production Kubernetes environment. This versatility makes Podman a powerful tool for developers and system administrators alike.

Utilize a fully managed private registry to store and distribute container images efficiently. You can push these private images to seamlessly run within the IBM Cloud® Kubernetes Service and various other runtime environments. Each image undergoes a security assessment, enabling you to make well-informed choices regarding your deployments. To manage your namespaces and Docker images in the IBM Cloud® private registry through the command line, install the IBM Cloud Container Registry CLI. You can also utilize the IBM Cloud console to examine potential vulnerabilities and the security status of images housed in both public and private repositories. It is essential to monitor the security condition of container images provided by IBM, third-party vendors, or those added to your organization's registry namespace. Furthermore, advanced features offer insights into security compliance, along with access controls and image signing options, ensuring a fortified approach to container management. Additionally, enjoy the benefits of pre-integration with the Kubernetes Service for streamlined operations.

Mesos operates on principles similar to those of the Linux kernel, yet it functions at a different abstraction level. This Mesos kernel is deployed on each machine and offers APIs for managing resources and scheduling tasks for applications like Hadoop, Spark, Kafka, and Elasticsearch across entire cloud infrastructures and data centers. It includes native capabilities for launching containers using Docker and AppC images. Additionally, it allows both cloud-native and legacy applications to coexist within the same cluster through customizable scheduling policies. Developers can utilize HTTP APIs to create new distributed applications, manage the cluster, and carry out monitoring tasks. Furthermore, Mesos features an integrated Web UI that allows users to observe the cluster's status and navigate through container sandboxes efficiently. Overall, Mesos provides a versatile and powerful framework for managing diverse workloads in modern computing environments.

Triton SmartOS merges the lightweight features of a container operating system with the advanced security, networking, and storage functionalities typical of a hardware hypervisor. It utilizes Zones, a fortified container runtime that does not rely on virtual machine hosts for its security measures. With its unique resource protection system, Triton SmartOS ensures that each container is insulated and receives an equitable distribution of input/output resources. This operating system simplifies the challenges often associated with solutions dependent on virtual machine hosts. Additionally, it provides integrated networking that allows each container to possess multiple network interfaces, granting it a complete IP stack and enabling it to function as a full peer on the network, which helps avoid port conflicts and simplifies network management. Each container is equipped with secure, isolated, and resizable filesystems, enhancing both security and flexibility. Overall, Triton SmartOS offers the speed associated with bare metal performance while also incorporating the adaptability of virtualization. This unique combination positions Triton SmartOS as an optimal choice for developers and businesses seeking efficiency and security in container management.

Rapidly create applications without the hassle of overseeing virtual machines or learning unfamiliar tools—simply deploy your app in a cloud-based container. By utilizing Azure Container Instances (ACI), your attention can shift towards the creative aspects of application development instead of the underlying infrastructure management. Experience an unmatched level of simplicity and speed in deploying containers to the cloud, achievable with just one command. ACI allows for the quick provisioning of extra compute resources for high-demand workloads as needed. For instance, with the aid of the Virtual Kubelet, you can seamlessly scale your Azure Kubernetes Service (AKS) cluster to accommodate sudden traffic surges. Enjoy the robust security that virtual machines provide for your containerized applications while maintaining the lightweight efficiency of containers. ACI offers hypervisor-level isolation for each container group, ensuring that each container operates independently without kernel sharing, which enhances security and performance. This innovative approach to application deployment simplifies the process, allowing developers to focus on building exceptional software rather than getting bogged down by infrastructure concerns.

IBM Cloud® Kubernetes Service offers a certified and managed Kubernetes platform designed for the deployment and management of containerized applications on IBM Cloud®. This service includes features like intelligent scheduling, self-healing capabilities, and horizontal scaling, all while ensuring secure management of the necessary resources for rapid deployment, updating, and scaling of applications. By handling the master management, IBM Cloud Kubernetes Service liberates users from the responsibilities of overseeing the host operating system, the container runtime, and the updates for the Kubernetes version. This allows developers to focus more on building and innovating their applications rather than getting bogged down by infrastructure management. Furthermore, the service’s robust architecture promotes efficient resource utilization, enhancing overall performance and reliability.

Deep Learning Containers consist of Docker images that come preloaded and verified with the latest editions of well-known deep learning frameworks. They enable the rapid deployment of tailored machine learning environments, eliminating the need to create and refine these setups from the beginning. You can establish deep learning environments in just a few minutes by utilizing these ready-to-use and thoroughly tested Docker images. Furthermore, you can develop personalized machine learning workflows for tasks such as training, validation, and deployment through seamless integration with services like Amazon SageMaker, Amazon EKS, and Amazon ECS, enhancing efficiency in your projects. This capability streamlines the process, allowing data scientists and developers to focus more on their models rather than environment configuration.

Deploy, operate, and manage Kubernetes clusters across various environments centrally with a robust container orchestration solution that fulfills the promises of Kubernetes. Tailored for large enterprises, Kublr facilitates multi-cluster deployments and provides essential observability features. Our platform simplifies the complexities of Kubernetes, allowing your team to concentrate on what truly matters: driving innovation and generating value. Although enterprise-level container orchestration may begin with Docker and Kubernetes, Kublr stands out by offering extensive, adaptable tools that enable the deployment of enterprise-class Kubernetes clusters right from the start. This platform not only supports organizations new to Kubernetes in their adoption journey but also grants experienced enterprises the flexibility and control they require. While the self-healing capabilities for masters are crucial, achieving genuine high availability necessitates additional self-healing for worker nodes, ensuring they match the reliability of the overall cluster. This holistic approach guarantees that your Kubernetes environment is resilient and efficient, setting the stage for sustained operational excellence.

Deploying web applications that utilize containers has reached unprecedented simplicity. By simply retrieving container images from Docker Hub or a private Azure Container Registry, the Web App for Containers service can swiftly launch your containerized application along with any necessary dependencies into a production environment in mere seconds. This platform efficiently manages operating system updates, provisioning of resources, and balancing the load across instances. You can also effortlessly scale your applications both vertically and horizontally according to their specific demands. Detailed scaling parameters allow for automatic adjustments in response to workload peaks while reducing expenses during times of lower activity. Moreover, with just a few clicks, you can deploy data and host services in various geographic locations, enhancing accessibility and performance. This streamlined process makes it incredibly easy to adapt your applications to changing requirements and ensure they operate optimally at all times.

The rise of containers in the software industry has been nothing short of revolutionary, and there are many reasons behind this shift. They are essential for both DevOps practices and deployment processes, offering a wide range of advantages for developers. Unlike Virtual Machines, containers are lightweight, quick to deploy, and easily scalable. Docker serves as the perfect solution for companies, products, and agile projects alike. While Kubernetes offers powerful orchestration capabilities, it comes with a steep learning curve. Fortunately, sloppy.io simplifies this complexity by managing critical aspects such as overlay networks, storage providers, and ingress controllers for you. We handle the infrastructure needed to host your Docker containers, ensuring a secure connection to your users while reliably managing your data storage. You can effortlessly deploy and oversee your projects using our intuitive web-based interface, command line tools (CLI), and API. Additionally, our dedicated support chat connects you with experienced software engineering and operations professionals, always ready to assist you with any inquiries or challenges. This level of support ensures that your focus can remain on development rather than infrastructure concerns.

Photon OS™ is a minimal, open-source Linux container host designed specifically for cloud-native applications, cloud platforms, and VMware infrastructure. With the release of Photon OS 3.0, there are new features such as support for ARM64 architecture, enhancements to the installer, and refreshed package updates. We welcome collaboration from partners, customers, and community members in leveraging Photon OS for running efficient virtual machines and containerized applications. This OS includes everything necessary for installation, and users can select either a minimal or a comprehensive installation based on their deployment requirements. Photon OS can be installed directly from an ISO file or utilized in PXE/kickstart environments for automated setups. This makes it a portable and ready-to-use virtual environment. Additionally, the Photon OS Open Virtual Appliance packages come with a refined and optimized kernel, as well as packages designed to facilitate and standardize appliance deployments. By utilizing Photon OS, developers can create and build modern applications effectively in a streamlined development environment. In essence, Photon OS stands out as a versatile solution for various cloud-centric needs.

Create, store, safeguard, scan, duplicate, and oversee container images and artifacts using a fully managed, globally replicated instance of OCI distribution. Seamlessly connect across various environments such as Azure Kubernetes Service and Azure Red Hat OpenShift, as well as integrate with Azure services like App Service, Machine Learning, and Batch. Benefit from geo-replication that allows for the effective management of a single registry across multiple locations. Utilize an OCI artifact repository that supports the addition of helm charts, singularity, and other formats supported by OCI artifacts. Experience automated processes for building and patching containers, including updates to base images and scheduled tasks. Ensure robust security measures through Azure Active Directory (Azure AD) authentication, role-based access control, Docker content trust, and virtual network integration. Additionally, enhance the workflow of building, testing, pushing, and deploying images to Azure with the capabilities offered by Azure Container Registry Tasks, which simplifies the management of containerized applications. This comprehensive suite provides a powerful solution for teams looking to optimize their container management strategies.

Execute containers without the need to set up Kubernetes virtual machines or clusters. We take care of the software and runtime environment installation, upkeep, and management. This approach allows for a standardized process of generating artifacts (images) within your CI/CD pipeline, eliminating the need for code changes. You can write code in the programming language of your choice and utilize familiar tools for your most complex challenges. Set up pre-configured container instances that are always prepared to meet any demand. This operational method ensures there are no cold starts, enabling rapid processing of workloads. Run containers directly within your VPC network to seamlessly interact with virtual machines and manage databases while maintaining them behind a private network. You’ll only incur costs for serverless data storage and operations, and with our special pricing model, the first 1,000,000 container calls each month are completely free. This way, you can focus on development without worrying about infrastructure overhead.

Tencent Container Registry (TCR) provides a robust, secure, and efficient solution for hosting and distributing container images. Users can establish dedicated instances in various global regions, allowing them to access container images from the nearest location, which effectively decreases both pulling time and bandwidth expenses. To ensure that data remains secure, TCR incorporates detailed permission management and stringent access controls. Additionally, it features P2P accelerated distribution, which helps alleviate performance limitations caused by multiple large images being pulled by extensive clusters, enabling rapid business expansion and updates. The platform allows for the customization of image synchronization rules and triggers, integrating seamlessly with existing CI/CD workflows for swift container DevOps implementation. TCR instances are designed with containerized deployment in mind, allowing for dynamic adjustments to service capabilities based on actual usage, which is particularly useful for managing unexpected spikes in business traffic. This flexibility ensures that organizations can maintain optimal performance even during peak demand periods.

Red Kubes, a start-up from the Netherlands, was established in 2019 by Sander Rodenhuis and Maurice Faber. After years of experience managing Kubernetes clusters, we realized that many organizations struggle to navigate the growing complexity associated with Kubernetes. To simplify and enhance the Kubernetes experience, we created the Otomi Container Platform, which serves as a value-added layer designed to accelerate time to market while fostering agility and innovation. Our solution features a single web interface that provides access to all integrated applications and self-service capabilities. This comprehensive, ready-to-use platform delivers a seamless experience for Kubernetes users. It combines a suite of integrated applications with automation tools, along with a clear overview of supported Cloud and Infrastructure providers. Additionally, our self-hosted Platform-as-a-Service solution for Kubernetes eliminates the need to reinvent the wheel, allowing teams to focus on what truly matters—innovation and growth. By using the Otomi Container Platform, organizations can streamline their operations and maximize their productivity.

LXD represents a cutting-edge system container manager that provides an experience akin to virtual machines but operates using Linux containers. It features an image-based architecture with a variety of pre-configured images for numerous Linux distributions and is centered around a robust yet straightforward REST API. To better understand LXD and its functionalities, you can explore it online, and if you're interested in deploying it locally, be sure to check out the getting started guide. Established and currently directed by Canonical Ltd, the LXD project benefits from contributions by various organizations and individual developers alike. At its core, LXD consists of a privileged daemon that delivers a REST API via a local UNIX socket and can also be accessed over the network if this option is enabled. Clients, including the command line tool that comes with LXD, interact exclusively through this REST API, ensuring a consistent experience whether you are accessing your local host or a remote server. This design allows for streamlined management and deployment of containers, making LXD a powerful tool in modern software development and deployment.

The latest iterations of Docker feature swarm mode, which allows for the native management of a cluster known as a swarm, composed of multiple Docker Engines. Using the Docker CLI, one can easily create a swarm, deploy various application services within it, and oversee the swarm's operational behaviors. The Docker Engine integrates cluster management seamlessly, enabling users to establish a swarm of Docker Engines for service deployment without needing any external orchestration tools. With a decentralized architecture, the Docker Engine efficiently manages node role differentiation at runtime rather than at deployment, allowing for the simultaneous deployment of both manager and worker nodes from a single disk image. Furthermore, the Docker Engine adopts a declarative service model, empowering users to specify the desired state of their application's service stack comprehensively. This streamlined approach not only simplifies the deployment process but also enhances the overall efficiency of managing complex applications.

The advent of container-based infrastructure represented a significant transformation in technology. A Linux distribution specifically optimized for containers serves as the ideal groundwork for a cloud-native setup. This streamlined operating system image consists solely of the essential tools needed for container execution. By omitting a package manager, it prevents any potential for configuration drift. The use of an immutable filesystem for the OS effectively mitigates a range of security vulnerabilities. Additionally, automated atomic updates ensure that you consistently receive the most current security patches and open-source technology advancements. Flatcar Container Linux is purpose-built from the ground up to support container workloads effectively. It fully embraces the container philosophy by incorporating only the necessary components for running containers. In a world of immutable infrastructure, it is crucial to have an equally immutable Linux operating system. With Flatcar Container Linux, your focus shifts from configuration management to effectively overseeing your infrastructure, allowing for a more efficient and secure operational environment. Embracing this approach revolutionizes how organizations manage their cloud-native applications and services.

Spectro Cloud’s Palette platform provides enterprises with a powerful and scalable solution for managing Kubernetes clusters across multiple environments, including cloud, edge, and on-premises data centers. By leveraging full-stack declarative orchestration, Palette allows teams to define cluster profiles that ensure consistency while preserving the freedom to customize infrastructure, container workloads, OS, and Kubernetes distributions. The platform’s lifecycle management capabilities streamline cluster provisioning, upgrades, and maintenance across hybrid and multi-cloud setups. It also integrates with a wide range of tools and services, including major cloud providers like AWS, Azure, and Google Cloud, as well as Kubernetes distributions such as EKS, OpenShift, and Rancher. Security is a priority, with Palette offering enterprise-grade compliance certifications such as FIPS and FedRAMP, making it suitable for government and regulated industries. Additionally, the platform supports advanced use cases like AI workloads at the edge, virtual clusters, and multitenancy for ISVs. Deployment options are flexible, covering self-hosted, SaaS, or airgapped environments to suit diverse operational needs. This makes Palette a versatile platform for organizations aiming to reduce complexity and increase operational control over Kubernetes.

Instainer is a cloud-based Docker container hosting platform that enables users to deploy any Docker container instantly using a Heroku-style Git deployment approach. During our transition to Docker within the company, we realized that there was a gap in immediate access to containers, despite Docker offering exceptional capabilities for our DevOps team. To address this need, we created Instainer specifically for engineers seeking to quickly run Docker containers in the cloud. We highly encourage your input and insights to enhance our service. Instainer facilitates Heroku-style Git deployment for your containers, and once you launch a container, it automatically generates a Git repository, pushing the container's data into it for seamless management. Users can effortlessly clone and modify their data through Git, allowing for efficient development workflows. Additionally, Instainer supports the WordPress content management system, enabling the use of plugins, widgets, and themes to enrich user experience and functionality. Our aim is to streamline the deployment process and empower developers with rapid and flexible container management.

LXC serves as a user-space interface that harnesses the Linux kernel's containment capabilities. It provides a robust API along with straightforward tools, enabling Linux users to effortlessly create and oversee both system and application containers. Often viewed as a hybrid between a chroot environment and a complete virtual machine, LXC aims to deliver an experience closely resembling a typical Linux installation without necessitating an independent kernel. This makes it an appealing option for developers needing lightweight isolation. As a free software project, the majority of LXC's code is distributed under the GNU LGPLv2.1+ license, while certain components for Android compatibility are available under a standard 2-clause BSD license, and some binaries and templates fall under the GNU GPLv2 license. The stability of LXC's releases is dependent on the various Linux distributions and their dedication to implementing timely fixes and security patches. Consequently, users can rely on the continuous improvement and security of their container environments through active community support.

Provisioning and overseeing cloud-native infrastructure can be straightforward rather than a daunting challenge. With the intuitive point-and-click interface of Mirantis Container Cloud, both administrators and developers can seamlessly deploy Kubernetes and OpenStack environments from one central dashboard, whether it's on-premises, hosted bare metal, or in the public cloud. Say goodbye to the hassle of scheduling workarounds for updates, as you can access new features promptly while ensuring zero downtime for clusters and workloads. Empower your developers to easily create, monitor, and manage Kubernetes clusters within a framework of customized guardrails. Mirantis Container Cloud serves as a unified console to oversee your entire hybrid infrastructure landscape. Furthermore, this platform enables the deployment, management, and maintenance of both Mirantis Kubernetes Engine for container-based applications and Mirantis OpenStack for virtualization environments tailored for Kubernetes. This comprehensive approach streamlines operations and enhances efficiency across the board.

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.

balenaEngine is a specialized container engine designed specifically for embedded systems and IoT applications, utilizing technology from the Moby Project by Docker. It is significantly smaller than Docker CE, boasting a size reduction of 3.5 times and is distributed as a single binary. This engine is compatible with a diverse range of chipset architectures, catering to everything from small IoT devices to larger industrial gateways. It offers bandwidth-efficient updates using binary diffs that can be 10 to 70 times smaller compared to the traditional method of pulling layers in various scenarios. To mitigate excessive disk writing and safeguard against potential storage corruption, it extracts layers as they are received. Additionally, its atomic and durable image pulls ensure protection against incomplete container downloads in case of power interruptions. The design also minimizes page cache thrashing during image pulls, allowing applications to run smoothly even in low-memory environments. In summary, balenaEngine is an innovative solution that not only supports Docker containers but also enhances bandwidth efficiency for container updates. This makes it an ideal choice for developers seeking reliability and efficiency in IoT and embedded systems.

Seamlessly integrate your own private registries and collaborate with your team by sharing images effortlessly. Discover the largest public registries available to locate the ideal container image tailored for your project. Understanding the contents of your containers is essential for ensuring software security. The Slim platform unveils the intricacies of container internals, enabling you to analyze, refine, and evaluate modifications across various containers or versions. Leverage DockerSlim, our open-source initiative, to streamline and enhance your container images automatically. Eliminate unnecessary or risky packages, ensuring you only deploy what is essential for production. Learn how the Slim platform can assist your team in enhancing software and supply chain security, optimizing containers for development, testing, and production, and securely deploying container-based applications to the cloud. Currently, creating an account is complimentary, and the platform is free to use. As passionate container advocates rather than salespeople, we prioritize your privacy and security as the core values driving our business. In addition, we are committed to continuously evolving our offerings based on user feedback to better meet your needs.

Sangfor Kubernetes Engine (SKE) serves as a sophisticated container management solution that is founded on upstream Kubernetes and is seamlessly integrated into the Sangfor Hyper-Converged Infrastructure (HCI), managed via the Sangfor Cloud Platform. This platform delivers a cohesive environment tailored for the operation and management of both containers and virtual machines, ensuring simplicity, reliability, and security throughout the process. SKE is particularly advantageous for organizations looking to deploy modern containerized applications, shift towards microservices architectures, or optimize their existing virtual machine workloads. With SKE, users benefit from centralized management of accounts, permissions, monitoring, and alerts across all workloads. The platform enables the automation of production-ready Kubernetes cluster creation in as little as 15 minutes, which significantly reduces the need for manual operating system installations and configurations. Additionally, it provides an extensive array of pre-configured components that facilitate rapid application deployment, offer visualized monitoring, support diverse log formats, and include built-in high-performance load balancing. Moreover, the integration of these features empowers organizations to enhance their operational efficiency while maintaining a focus on security and performance.

Effortlessly create, launch, and expand web applications and APIs precisely how you want. Choose from a variety of frameworks including .NET, .NET Core, Node.js, Java, Python, or PHP, whether you're utilizing containers or operating on Windows or Linux platforms. Achieve strict enterprise-level standards for performance, security, and compliance through a reliable, fully managed service that processes more than 40 billion requests daily. This fully managed service ensures infrastructure upkeep, security updates, and scalability are handled seamlessly. It also features integrated CI/CD capabilities and supports deployments without downtime. With comprehensive security and compliance measures, including SOC and PCI certifications, you can deploy effortlessly across various environments such as public cloud, Azure Government, and on-premises settings. You have the flexibility to utilize your preferred code or container alongside your chosen framework. Enhance developer efficiency with deep integration into Visual Studio Code and Visual Studio, while also optimizing your CI/CD processes via Git, GitHub, GitHub Actions, Atlassian Bitbucket, Azure DevOps, Docker Hub, and Azure Container Registry. Furthermore, this platform allows for continuous updates and improvements, ensuring your applications remain cutting edge and responsive to user needs.

IBM Storage for Red Hat OpenShift seamlessly integrates traditional and container storage, facilitating the deployment of enterprise-grade scale-out microservices architectures with ease. This solution has been validated alongside Red Hat OpenShift, Kubernetes, and IBM Cloud Pak, ensuring a streamlined deployment and management process for a cohesive experience. It offers enterprise-level data protection, automated scheduling, and data reuse capabilities specifically tailored for Red Hat OpenShift and Kubernetes settings. With support for block, file, and object data resources, users can swiftly deploy their required resources as needed. Additionally, IBM Storage for Red Hat OpenShift lays the groundwork for a robust and agile hybrid cloud environment on-premises, providing the essential infrastructure and storage orchestration. Furthermore, IBM enhances container utilization in Kubernetes environments by supporting Container Storage Interface (CSI) for its block and file storage solutions. This comprehensive approach empowers organizations to optimize their storage strategies while maximizing efficiency and scalability.

StackBlitz has developed WebContainers, a browser-based runtime that allows Node.js applications and operating system commands to run directly within a web browser tab. This innovative technology empowers developers to create immediate and engaging coding experiences, ranging from tutorials to comprehensive integrated development environments, all without requiring local installations or cloud-based virtual machines. Operating entirely on the client side, WebContainers provide exceptional user experiences characterized by zero latency, offline functionality, and increased security, as they remove the risks associated with executing code on servers. They support native Node.js toolchains, such as npm, pnpm, and yarn, and are compatible with leading modern frameworks. Furthermore, WebContainers offer seamless support for running WebAssembly (Wasm) right out of the box, enabling the adaptation of various programming languages and frameworks to operate within the browser environment. With these capabilities, developers can leverage the full potential of web technologies while maintaining flexibility and performance.

Spot Ocean empowers users to harness the advantages of Kubernetes while alleviating concerns about infrastructure management, all while offering enhanced cluster visibility and significantly lower expenses. A crucial inquiry is how to effectively utilize containers without incurring the operational burdens tied to overseeing the underlying virtual machines, while simultaneously capitalizing on the financial benefits of Spot Instances and multi-cloud strategies. To address this challenge, Spot Ocean is designed to operate within a "Serverless" framework, effectively managing containers by providing an abstraction layer over virtual machines, which facilitates the deployment of Kubernetes clusters without the need for VM management. Moreover, Ocean leverages various compute purchasing strategies, including Reserved and Spot instance pricing, and seamlessly transitions to On-Demand instances as required, achieving an impressive 80% reduction in infrastructure expenditures. As a Serverless Compute Engine, Spot Ocean streamlines the processes of provisioning, auto-scaling, and managing worker nodes within Kubernetes clusters, allowing developers to focus on building applications rather than managing infrastructure. This innovative approach not only enhances operational efficiency but also enables organizations to optimize their cloud spending while maintaining robust performance and scalability.

A versatile and straightforward workload orchestrator designed to deploy and oversee both containerized and non-containerized applications seamlessly across on-premises and cloud environments at scale. This efficient tool comes as a single 35MB binary that effortlessly fits into your existing infrastructure. It provides an easy operational experience whether on-prem or in the cloud, maintaining minimal overhead. Capable of orchestrating various types of applications—not limited to just containers—it offers top-notch support for Docker, Windows, Java, VMs, and more. By introducing orchestration advantages, it helps enhance existing services. Users can achieve zero downtime deployments, increased resilience, and improved resource utilization without the need for containerization. A single command allows for multi-region, multi-cloud federation, enabling global application deployment to any region using Nomad as a cohesive control plane. This results in a streamlined workflow for deploying applications to either bare metal or cloud environments. Additionally, Nomad facilitates the development of multi-cloud applications with remarkable ease and integrates smoothly with Terraform, Consul, and Vault for efficient provisioning, service networking, and secrets management, making it an indispensable tool in modern application management.

Anthos enables the creation, deployment, and management of applications in a secure and uniform way, regardless of location. It facilitates the modernization of legacy applications operating on virtual machines while simultaneously allowing for the launch of cloud-native applications utilizing containers in a complex hybrid and multi-cloud landscape. By offering a seamless development and operational experience across all deployments, Anthos significantly lowers operational burdens and enhances developer efficiency. Anthos GKE serves as a robust container orchestration and management solution, suitable for running Kubernetes clusters both in cloud environments and on-premises. Anthos Config Management allows organizations to define, automate, and enforce policies across various environments, ensuring adherence to specific security and compliance standards. Furthermore, Anthos Service Mesh alleviates the challenges faced by operations and development teams, enabling them to effectively manage and secure service traffic while also monitoring and optimizing application performance. This comprehensive platform thus supports businesses in navigating the complexities of modern application development and deployment.

TKE seamlessly integrates with the full spectrum of Kubernetes features and has been optimized for Tencent Cloud's core IaaS offerings, including CVM and CBS. Moreover, Tencent Cloud's Kubernetes-driven products like CBS and CLB facilitate one-click deployments to container clusters for numerous open-source applications, significantly enhancing the efficiency of deployments. With the implementation of TKE, the complexities associated with managing large clusters and the operations of distributed applications are greatly reduced, eliminating the need for specialized cluster management tools or the intricate design of fault-tolerant cluster systems. You simply initiate TKE, outline the tasks you wish to execute, and TKE will handle all cluster management responsibilities, enabling you to concentrate on creating Dockerized applications. This streamlined process allows developers to maximize their productivity and innovate without being bogged down by infrastructure concerns.

Cloud Foundry simplifies and accelerates the processes of building, testing, deploying, and scaling applications while offering a variety of cloud options, developer frameworks, and application services. As an open-source initiative, it can be accessed through numerous private cloud distributions as well as public cloud services. Featuring a container-based architecture, Cloud Foundry supports applications written in multiple programming languages. You can deploy applications to Cloud Foundry with your current tools and without needing to alter the code. Additionally, CF BOSH allows you to create, deploy, and manage high-availability Kubernetes clusters across any cloud environment. By separating applications from the underlying infrastructure, users have the flexibility to determine the optimal hosting solutions for their workloads—be it on-premises, public clouds, or managed infrastructures—and can relocate these workloads swiftly, typically within minutes, without any modifications to the applications themselves. This level of flexibility enables businesses to adapt quickly to changing needs and optimize resource usage effectively.

The Apprenda Cloud Platform (ACP) equips enterprise IT with the ability to establish a Kubernetes-enabled shared service across various infrastructures, making it accessible for developers throughout different business units. This platform is designed to support the entirety of your custom application portfolio. It facilitates the swift creation, deployment, operation, and management of cloud-native, microservices, and container-based .NET and Java applications, while also allowing for the modernization of legacy workloads. ACP empowers developers with self-service access to essential tools for quick application development, all while providing IT operators with an effortless way to orchestrate environments and workflows. As a result, enterprise IT transitions into a genuine service provider role. ACP serves as a unified platform that integrates seamlessly across multiple data centers and cloud environments. Whether deployed on-premise or utilized as a managed service in the public cloud, it guarantees complete independence of infrastructure. Additionally, ACP offers policy-driven governance over the infrastructure usage and DevOps processes related to all application workloads, ensuring efficiency and compliance. This level of control not only maximizes resource utilization but also enhances collaboration between development and operations teams.

Helm simplifies the management of Kubernetes applications, while Helm charts allow users to define, install, and upgrade even the most intricate Kubernetes applications. These charts are not only user-friendly to create and publish, but they also facilitate easy versioning and sharing, making Helm an essential tool to eliminate redundant copy-and-paste efforts. By detailing even the most sophisticated applications, charts ensure consistent installation practices and act as a central authoritative source. They also ease the update process through in-place upgrades and customizable hooks. Furthermore, charts can be easily versioned and hosted on both public and private servers, allowing for flexibility in deployment. Should you need to revert to a previous version, the helm rollback command makes this process straightforward. Helm operates using a packaging format known as charts, which consist of a collection of files that outline a related group of Kubernetes resources. Notably, a single chart can manage the deployment of a simple element, such as a memcached pod, or orchestrate a comprehensive web application stack, including HTTP servers, databases, and caches, showcasing its versatility and power in the Kubernetes ecosystem. This capability to handle both simple and complex deployments makes Helm an indispensable tool for developers and operators alike.

Platform9 Private Cloud Director turns existing servers and storage into a fully featured private cloud. It provides a fast and efficient method for organizations to migrate away from VMware, with minimal disruption. Enterprise IT teams get a familiar virtualization management experience and a true drop-in replacement for VMware vSphere features, offering all critical enterprise features out of the box: Virtual Machine (VM) High Availability, live migration (vMotion equivalent), Dynamic Resource Rebalancing (VMware DRS equivalent), VM cloning, snapshots, templates, software-defined networking, and secure multi-tenancy. Unlike other solutions that may require proprietary hyperconverged infrastructure or re-platforming to Kubernetes, Private Cloud Director works with existing environments—including servers from Dell, HPE, Lenovo, and storage systems from NetApp, Tintri, Pure Storage, and more. Private Cloud Director can be deployed as a fully self-managed solution, a SaaS-managed service, or in air-gapped environments, giving IT teams complete control over their operating model. With Platform9’s free vJailbreak tool, enterprises can perform automated migrations of entire VMware vSphere clusters to Private Cloud Director—including complex VM configurations, multiple datastores, and advanced network policies—at a fraction of the time and cost of traditional approaches. Private Cloud Director supports both VMs and container workloads on a single unified platform, enabling a gradual transition to cloud-native architecture without disrupting current operations. Private Cloud Director can be deployed flexibly as a fully self-managed solution, a SaaS-managed service, or in air-gapped environments.

K3s is a robust, certified Kubernetes distribution tailored for production workloads that can operate efficiently in unattended, resource-limited environments, including remote areas and IoT devices. It supports both ARM64 and ARMv7 architectures, offering binaries and multiarch images for each. K3s is versatile enough to run on devices ranging from a compact Raspberry Pi to a powerful AWS a1.4xlarge server with 32GiB of memory. The system features a lightweight storage backend that uses sqlite3 as its default storage solution, while also allowing the use of etcd3, MySQL, and Postgres. By default, K3s is secure and comes with sensible defaults optimized for lightweight setups. It includes a variety of essential features that enhance its functionality, such as a local storage provider, service load balancer, Helm controller, and Traefik ingress controller. All components of the Kubernetes control plane are encapsulated within a single binary and process, streamlining the management of complex cluster operations like certificate distribution. This design not only simplifies deployment but also ensures high availability and reliability in diverse environments.

AppFactor drastically cuts down both the expenses and manpower typically involved in traditional application modernization efforts. After modernization, our platform enables teams to deploy, manage, and sustain their existing applications in a more streamlined and cost-efficient manner. This not only boosts engineering pace but also enhances vital business applications, fosters innovation, and provides a competitive advantage in the market. Transition legacy applications from physical and virtual servers to a cloud-native format swiftly, initiating an iterative process of architectural modernization, deployment, and ongoing enhancements. Smartly carry over runtime and inter-process connections from various server hosts into cloud-native structures. Expedite the integration of legacy applications into continuous integration and continuous deployment (CI/CD) workflows. Eliminate outdated physical and virtual infrastructure along with the need to upkeep operating systems. Furthermore, ease the cloud migration journey by adopting a gradual modernization approach toward advanced cloud solutions like Kubernetes platforms or Platform as a Service (PaaS), ensuring a smooth transition to the future of application management. Embracing this method not only facilitates immediate gains but also prepares organizations for long-term technological advancements.

We are transforming the internet landscape by integrating cloud infrastructure, merging Virtual Private Servers (VPS) with web hosting services to deliver dedicated and scalable resources, enhanced security, isolation, and automation, all supported by exceptional reliability and a 99.99% uptime guarantee. Our Orbits offer a variety of specifications and operating system options, including popular Linux distributions such as CentOS, Ubuntu, Debian, and Fedora, along with Unix variants like Free BSD and Net BSD, allowing for extensive flexibility. Powered by Intel E-5 processors, our backend utilizes the KVM hypervisor and Openstack for optimal performance. The System On Grid Orbits function as Virtual Instances (Virtual Private Servers/Machines) managed by the KVM hypervisor. Each Orbit is equipped with multiple operating system flavors, providing users with choices that extend across various Linux distributions. Additionally, these Orbits capitalize on Intel CPUs' VTX features and hardware abstraction to ensure efficiency. Furthermore, we have optimized the Host kernel to deliver a powerful and resilient performance, which enhances the overall user experience. This innovation reflects our commitment to providing cutting-edge solutions in cloud computing.