Alternatives to KubeVirt

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

Protect and optimize mission-critical Kubernetes apps. Fairwinds Insights, a Kubernetes configuration validation tool, monitors your Kubernetes containers and recommends improvements. The software integrates trusted open-source tools, toolchain integrations and SRE expertise, based on hundreds successful Kubernetes deployments. The need to balance the speed of engineering and the reactive pace of security can lead to messy Kubernetes configurations, as well as unnecessary risk. It can take engineering time to adjust CPU or memory settings. This can lead to over-provisioning of data centers capacity or cloud compute. While traditional monitoring tools are important, they don't offer everything necessary to identify and prevent changes that could affect Kubernetes workloads.

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.

Enhanced operators for enterprise applications feature a comprehensive application graph and declarative integration that caters to both Kubernetes environments and legacy systems. Through Juju operator integration, we can simplify each operator, enabling their composition to form intricate application graph topologies that handle complex scenarios while providing a user-friendly experience with significantly reduced YAML requirements. The UNIX principle of ‘doing one thing well’ is equally applicable in the realm of large-scale operational code, yielding similar advantages in clarity and reusability. The charm of small-scale design is evident here: Juju empowers organizations to implement the operator pattern across their entire infrastructure, including older applications. Model-driven operations lead to substantial savings in maintenance and operational expenses for traditional workloads, all without necessitating a shift to Kubernetes. Once integrated with Juju, legacy applications also gain the ability to operate across multiple cloud environments. Furthermore, the Juju Operator Lifecycle Manager (OLM) uniquely accommodates both containerized and machine-based applications, ensuring smooth interoperability between the two. This innovative approach allows for a more cohesive and efficient management of diverse application ecosystems.

Kubernetes (K8s) is a powerful open-source platform designed to automate the deployment, scaling, and management of applications that are containerized. By organizing containers into manageable groups, it simplifies the processes of application management and discovery. Drawing from over 15 years of experience in handling production workloads at Google, Kubernetes also incorporates the best practices and innovative ideas from the wider community. Built on the same foundational principles that enable Google to efficiently manage billions of containers weekly, it allows for scaling without necessitating an increase in operational personnel. Whether you are developing locally or operating a large-scale enterprise, Kubernetes adapts to your needs, providing reliable and seamless application delivery regardless of complexity. Moreover, being open-source, Kubernetes offers the flexibility to leverage on-premises, hybrid, or public cloud environments, facilitating easy migration of workloads to the most suitable infrastructure. This adaptability not only enhances operational efficiency but also empowers organizations to respond swiftly to changing demands in their environments.

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.

Oracle Cloud Infrastructure (OCI) offers a range of compute options that are not only speedy and flexible but also cost-effective, catering to various workload requirements, including robust bare metal servers, virtual machines, and efficient containers. OCI Compute stands out by providing exceptionally adaptable VM and bare metal instances that ensure optimal price-performance ratios. Users can tailor the exact number of cores and memory to align with their applications' specific demands, which translates into high performance for enterprise-level tasks. Additionally, the platform simplifies the application development process through serverless computing, allowing users to leverage technologies such as Kubernetes and containerization. For those engaged in machine learning, scientific visualization, or other graphic-intensive tasks, OCI offers NVIDIA GPUs designed for performance. It also includes advanced capabilities like RDMA, high-performance storage options, and network traffic isolation to enhance overall efficiency. With a consistent track record of delivering superior price-performance compared to other cloud services, OCI's virtual machine shapes provide customizable combinations of cores and memory. This flexibility allows customers to further optimize their costs by selecting the precise number of cores needed for their workloads, ensuring they only pay for what they use. Ultimately, OCI empowers organizations to scale and innovate without compromising on performance or budget.

Red Hat® Virtualization serves as an enterprise-grade platform for virtualization, adept at handling high-demand workloads and essential applications, leveraging the robust foundation of Red Hat Enterprise Linux® and KVM, with complete support from Red Hat. This solution enables the virtualization of resources, processes, and applications, establishing a reliable base for a future that embraces cloud-native and containerized technologies. It allows for the automation, management, and modernization of virtualization workloads seamlessly. Whether it's streamlining daily tasks or overseeing virtual machines within Red Hat OpenShift, Red Hat Virtualization leverages the existing Linux® expertise of your team and enhances it for upcoming business requirements. Additionally, it is built on a comprehensive ecosystem of platforms and partner solutions, integrating with Red Hat Enterprise Linux, Red Hat Ansible Automation Platform, Red Hat OpenStack® Platform, and Red Hat OpenShift, which collectively enhance IT productivity and maximize return on investment while positioning your organization for future growth and innovation.

ProphetStor's Artificial Intelligence for IT Operations (AIOps), Federator.ai® provides intelligence to orchestrate container resource on top of VMs or bare metal. This allows users to run applications without having to manage the underlying computing resources. Kubernetes has become the standard for container management platforms. Container adoption is increasing. The operational overhead for container adoption is huge, regardless of whether it takes place on-premises or in public clouds. Federator.ai®, which uses AI/Machine Learning technology to predict workload and resource requirements for containerized applications, makes these predictions. It helps IT administrators predict the computing resource requirements of applications and manage computing resources without sacrificing performance.

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.

Enhance the security of your container environment on GCP, GKE, or Anthos, as containerization empowers development teams to accelerate their workflows, deploy applications effectively, and scale operations to unprecedented levels. With the growing number of containerized workloads in enterprises, it becomes essential to embed security measures at every phase of the build-and-deploy lifecycle. Infrastructure security entails that your container management platform is equipped with the necessary security functionalities. Kubernetes offers robust security features to safeguard your identities, secrets, and network communications, while Google Kubernetes Engine leverages native GCP capabilities—such as Cloud IAM, Cloud Audit Logging, and Virtual Private Clouds—as well as GKE-specific tools like application layer secrets encryption and workload identity to provide top-notch Google security for your workloads. Furthermore, ensuring the integrity of the software supply chain is critical, as it guarantees that container images are secure for deployment. This proactive approach ensures that your container images remain free of vulnerabilities and that the images you create are not tampered with, thereby maintaining the overall security of your applications. By investing in these security measures, organizations can confidently adopt containerization without compromising on safety.

Harness the capabilities of the enterprise workload engine to enhance performance, bolster security, and accelerate innovation within your organization. The latest version of vSphere provides crucial services tailored for the contemporary hybrid cloud environment. It has been redesigned to incorporate native Kubernetes, allowing the seamless operation of traditional enterprise applications alongside cutting-edge containerized solutions. This evolution facilitates the modernization of on-premises infrastructure through effective cloud integration. By implementing centralized management, gaining global insights, and utilizing automation, you can significantly increase productivity. Additionally, leverage supplementary cloud services to maximize your operations. To meet the demands of distributed workloads, networking functions on the DPU are optimized, ensuring improved throughput and reduced latency. Furthermore, this approach liberates GPU resources, which can then be applied to expedite AI and machine learning model training, even for more complex models. Overall, this unified platform not only streamlines processes but also supports your organization’s growth in the evolving digital landscape.

KubeArmor is an open-source, cloud-native security engine that provides runtime enforcement for Kubernetes clusters, containers, and virtual machines, using eBPF and Linux Security Modules such as AppArmor, BPF-LSM, and SELinux. It protects workloads by restricting behaviors like process execution, file operations, networking, and resource consumption, all enforced through customizable, Kubernetes-native policies. Unlike traditional post-attack mitigations that react after malicious activity occurs, KubeArmor’s inline enforcement blocks threats proactively without requiring changes to containers or hosts. Its simplified policy descriptions and non-privileged daemonset architecture make it easy to deploy and manage across diverse environments, including multi-cloud and edge networks. The platform logs policy violations in real time and supports granular network communication controls between containers. Installation can be done effortlessly using Helm charts, with detailed documentation and video guides available. KubeArmor is listed on AWS, Red Hat, Oracle, and DigitalOcean marketplaces, demonstrating broad industry acceptance. It also offers specialized features for IoT, 5G security, and workload sandboxing, making it a versatile choice for modern cloud-native security.

To successfully market cloud services, you should rent out your virtualized infrastructure, effectively monitor and manage cloud usage within client organizations, and explore new avenues to tap into the vast cloud market. A cloud-based enterprise cannot expand effectively without an entirely automated billing system in place. An essential component for achieving success is the capability to invoice and process payments based on precisely measured usage data. The Flexiant Cloud Orchestrator features a comprehensive billing solution, ensuring you can quickly access the market. Its robust API and adaptable interface make it straightforward to integrate Flexiant Cloud Orchestrator into your current systems. Customers value options; to mitigate migration risks or maintain their application certifications, they should be empowered to choose the hypervisor that will operate their workloads. Additionally, employing a dynamic workload placement algorithm ensures the most logical choice for initiating a virtual machine, enhancing efficiency and service delivery. This flexibility not only improves customer satisfaction but also fosters long-term loyalty and engagement.

Alibaba Cloud's Container Service for Kubernetes (ACK) is a comprehensive managed service designed to streamline the deployment and management of Kubernetes environments. It seamlessly integrates with various services including virtualization, storage, networking, and security, enabling users to enjoy high-performance and scalable solutions for their containerized applications. Acknowledged as a Kubernetes Certified Service Provider (KCSP), ACK also holds certification from the Certified Kubernetes Conformance Program, guaranteeing a reliable Kubernetes experience and the ability to easily migrate workloads. This certification reinforces the service’s commitment to ensuring consistency and portability across Kubernetes environments. Furthermore, ACK offers robust enterprise-level cloud-native features, providing thorough application security and precise access controls. Users can effortlessly establish Kubernetes clusters, while also benefiting from a container-focused approach to application management throughout their lifecycle. This holistic service empowers businesses to optimize their cloud-native strategies effectively.

Experience comprehensive Full-Stack Network and Security Virtualization through VMware NSX, enabling your virtual cloud network to safeguard and connect applications across diverse environments such as data centers, multi-cloud setups, bare metal, and container infrastructures. VMware NSX Data Center presents a robust L2-L7 networking and security virtualization solution that allows for centralized management of the entire network from a unified interface. Streamline your networking and security services with one-click provisioning, which offers remarkable flexibility, agility, and scalability by executing a complete L2-L7 stack in software, independent of physical hardware constraints. Achieve consistent networking and security policies across both private and public clouds from a singular vantage point, irrespective of whether your applications are running on virtual machines, containers, or bare metal servers. Furthermore, enhance the security of your applications with granular micro-segmentation, providing tailored protection down to the individual workload level, ensuring optimal security across your infrastructure. This holistic approach not only simplifies management but also significantly improves operational efficiency.

The Kubermatic Kubernetes Platform (KKP) facilitates digital transformation for enterprises by streamlining their cloud operations regardless of location. With KKP, operations and DevOps teams can easily oversee virtual machines and containerized workloads across diverse environments, including hybrid-cloud, multi-cloud, and edge, all through a user-friendly self-service portal designed for both developers and operations. As an open-source solution, KKP allows for the automation of thousands of Kubernetes clusters across various settings, ensuring unmatched density and resilience. It enables organizations to establish and run a multi-cloud self-service Kubernetes platform with minimal time to market, significantly enhancing efficiency. Developers and operations teams are empowered to deploy clusters in under three minutes on any infrastructure, which fosters rapid innovation. Workloads can be centrally managed from a single dashboard, providing a seamless experience whether in the cloud, on-premises, or at the edge. Furthermore, KKP supports the scalability of your cloud-native stack while maintaining enterprise-level governance, ensuring compliance and security throughout the infrastructure. This capability is essential for organizations aiming to maintain control and agility in today's fast-paced digital landscape.

A unified dashboard allows for streamlined management across various environments, including physical, virtual, and hybrid-cloud setups. This approach ensures secure workloads throughout the entire spectrum, from on-premises systems to cloud infrastructures. It automates the protection of dynamic workloads to remove any potential blind spots while providing robust defense against advanced threats. Additionally, it incorporates specialized host-based workload protections tailored for virtual instances, preventing strain on the overall system. Utilize threat defenses specifically designed for virtual machines to implement multilayered countermeasures effectively. Enhance your awareness and safeguard your virtualized environments and networks against external threats. The strategy involves comprehensive protective measures such as machine learning, application containment, anti-malware optimized for virtual machines, whitelisting, file integrity monitoring, and micro-segmentation to secure your workloads. Furthermore, it simplifies the assignment and management of all workloads by allowing the importation of AWS and Microsoft Azure tag data into Trellix ePO, ultimately improving operational efficiency and security posture. By integrating these advanced solutions, organizations can ensure a more resilient infrastructure against emerging threats.

Nerdio Manager for Enterprise and Nerdio Manager for MSP empower Managed Service Providers and Enterprise IT Professionals to swiftly implement Azure Virtual Desktop and Windows 365, allowing them to oversee all their environments from a single, user-friendly platform while significantly reducing expenses by as much as 75% on Azure resources. The platform enhances the built-in functionalities of Azure Virtual Desktop and Windows 365, providing users with rapid and automated deployment of virtual desktops, intuitive management that can be executed in just a few clicks, and features that promote cost savings without compromising the robust security offered by Microsoft Azure or the high-level support from Nerdio. Additionally, for Managed Service Providers, the multi-tenant solution facilitates automatic provisioning in less than an hour and enables connection to existing deployments within minutes, alongside streamlined management of all clients through an easy-to-use admin portal, further augmented by Nerdio's Advanced Auto-scaling for optimal cost efficiency. This comprehensive approach not only simplifies the deployment process but also enhances operational efficiency, making it a vital tool for modern IT management.

Accelerate the deployment of applications with assurance using Critical Stack, the open-source container orchestration solution developed by Capital One. This tool upholds the highest standards of governance and security, allowing teams to scale their containerized applications effectively even in the most regulated environments. With just a few clicks, you can oversee your entire ecosystem and launch new services quickly. This means you can focus more on development and strategic decisions rather than getting bogged down with maintenance tasks. Additionally, it allows for the dynamic adjustment of shared resources within your infrastructure seamlessly. Teams can implement container networking policies and controls tailored to their needs. Critical Stack enhances the speed of development cycles and the deployment of containerized applications, ensuring they operate precisely as intended. With this solution, you can confidently deploy containerized applications, backed by robust verification and orchestration capabilities that cater to your critical workloads while also improving overall efficiency. This comprehensive approach not only optimizes resource management but also drives innovation within your organization.

HPE CloudPhysics is a user-friendly SaaS platform designed to monitor and analyze IT infrastructures, providing valuable insights and detailed reports that facilitate the upgrading, repairing, and adapting of data centers to meet evolving demands. This innovative tool not only simulates potential migrations to various cloud platforms, projecting costs and feasibility, but it also creates a precise virtual representation of your infrastructure on a machine-by-machine basis, equipping you with critical data to make informed decisions between cloud and on-premises setups. Instead of relying on cumbersome spreadsheets, you can swiftly obtain migration and cost strategies for the cloud, streamlining the decision-making process. The platform allows for efficient classification, grouping, and consolidation of all data center workloads into a unified view. By leveraging HPE CloudPhysics’ exhaustive workload-sizing and costing models, organizations can apply optimized models to cloud pricing structures, gaining immediate enterprise-level value. Furthermore, before committing to new hardware and resources for your upcoming IT budget cycle, it’s essential to thoroughly understand your existing workloads to make the most strategic investments. This proactive approach not only enhances cost-efficiency but also ensures that your IT infrastructure is aligned with future demands.

Organizations are increasingly turning to containerized environments to accelerate application development. However, these applications still require essential services like routing, SSL offloading, scaling, and security measures. F5 Container Ingress Services simplifies the process of providing advanced application services to container deployments, facilitating Ingress control for HTTP routing, load balancing, and enhancing application delivery performance, along with delivering strong security services. This solution seamlessly integrates BIG-IP technologies with native container environments, such as Kubernetes, as well as PaaS container orchestration and management systems like RedHat OpenShift. By leveraging Container Ingress Services, organizations can effectively scale applications to handle varying container workloads while ensuring robust security measures are in place to safeguard container data. Additionally, Container Ingress Services promotes self-service capabilities for application performance and security within your orchestration framework, thereby enhancing operational efficiency and responsiveness to changing demands.

The NVIDIA GPU-Optimized AMI serves as a virtual machine image designed to enhance your GPU-accelerated workloads in Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). By utilizing this AMI, you can quickly launch a GPU-accelerated EC2 virtual machine instance, complete with a pre-installed Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, all within a matter of minutes. This AMI simplifies access to NVIDIA's NGC Catalog, which acts as a central hub for GPU-optimized software, enabling users to easily pull and run performance-tuned, thoroughly tested, and NVIDIA-certified Docker containers. The NGC catalog offers complimentary access to a variety of containerized applications for AI, Data Science, and HPC, along with pre-trained models, AI SDKs, and additional resources, allowing data scientists, developers, and researchers to concentrate on creating and deploying innovative solutions. Additionally, this GPU-optimized AMI is available at no charge, with an option for users to purchase enterprise support through NVIDIA AI Enterprise. For further details on obtaining support for this AMI, please refer to the section labeled 'Support Information' below. Moreover, leveraging this AMI can significantly streamline the development process for projects requiring intensive computational resources.

IBM PowerVC is a virtualization management solution based on OpenStack, created to streamline the deployment and oversight of virtual machines across IBM Power Systems that operate AIX, IBM i, and Linux. It allows for quick deployment, significantly shortening the time required to realize value through easy installation and configuration. With a user-friendly interface, it reduces the necessity for specialized training, ultimately boosting administrator efficiency. PowerVC enhances resource utilization by promoting resource pooling and establishing placement policies, which helps in optimizing IT expenses. The Dynamic Resource Optimizer (DRO) automates workload balancing within host groups based on set policies, ensuring that performance remains at its peak. Furthermore, VM templates foster consistency and standardization, making deployments smoother and less labor-intensive. Additional key features include automated I/O configuration that supports both mobility and high availability, along with the effortless import and deployment of workload images, making it an invaluable tool for IT management. Overall, PowerVC not only simplifies operational tasks but also contributes to improved resource management and cost efficiency.

It is commonly believed that containers are primarily suited for stateless applications. Nevertheless, numerous organizations are recognizing the benefits of containerizing their databases for similar reasons as those for their web applications, including the ability to deploy updates more frequently, the simplicity of transitioning from development to staging to production, and the versatility to operate the same workload across various infrastructures. A recent survey by Diamanti has even identified databases as a leading use case for container adoption. Cloud Native infrastructure provides the capability for stateful applications to leverage elasticity and flexibility efficiently. Despite this, events such as hardware malfunctions, power outages, natural disasters, or other unforeseen circumstances can lead to significant data loss. This scenario complicates the recovery process for stateful applications, making it a critical challenge. Consequently, one of the key requirements for cloud native storage solutions is to ensure seamless recovery from such catastrophic incidents, enabling organizations to maintain data integrity and availability. Ultimately, as organizations continue to embrace containerization, addressing these challenges will be essential for maximizing the benefits of their deployments.

Adaptive Data Virtualization™ technology empowers businesses to operate their current applications on contemporary cloud data warehouses without the need for extensive modifications or reconfiguration. With Datometry Hyper-Q™, organizations can swiftly embrace new cloud databases, effectively manage ongoing operational costs, and enhance their analytical capabilities to accelerate digital transformation efforts. This virtualization software from Datometry enables any existing application to function on any cloud database, thus facilitating interoperability between applications and databases. Consequently, enterprises can select their preferred cloud database without the necessity of dismantling, rewriting, or replacing their existing applications. Furthermore, it ensures runtime application compatibility by transforming and emulating legacy data warehouse functionalities. This solution can be deployed seamlessly on major cloud platforms like Azure, AWS, and GCP. Additionally, applications can leverage existing JDBC, ODBC, and native connectors without any alterations, ensuring a smooth transition. It also establishes connections with leading cloud data warehouses, including Azure Synapse Analytics, AWS Redshift, and Google BigQuery, broadening the scope for data integration and analysis.

Mogenius offers an all-in-one platform that integrates visibility, observability, and automation for effective Kubernetes management. By connecting and visualizing your Kubernetes clusters and workloads, it ensures that the entire team has access to crucial insights. You can easily pinpoint misconfigurations within your workloads and take corrective measures directly through the mogenius interface. The platform streamlines Kubernetes operations with features like service catalogs, enabling developer self-service, and creating ephemeral environments. This self-service capability simplifies the deployment process for developers, allowing them to work more efficiently. Additionally, mogenius helps optimize resource allocation and prevents configuration drift through the use of standardized, automated workflows. By eliminating redundant tasks and promoting the reuse of resources with service catalogs, your team can enhance productivity. Gain complete visibility into your Kubernetes infrastructure and deploy a cloud-agnostic Kubernetes operator for a holistic view of your clusters and workloads. Furthermore, developers can quickly establish local and ephemeral testing environments that replicate the production setup in just a few clicks, ensuring a seamless development experience. Ultimately, mogenius empowers teams to manage their Kubernetes environments with greater ease and efficiency.

Rancher empowers you to provide Kubernetes-as-a-Service across various environments, including datacenters, cloud, and edge. This comprehensive software stack is designed for teams transitioning to container technology, tackling both operational and security issues associated with managing numerous Kubernetes clusters. Moreover, it equips DevOps teams with integrated tools to efficiently handle containerized workloads. With Rancher’s open-source platform, users can deploy Kubernetes in any setting. Evaluating Rancher against other top Kubernetes management solutions highlights its unique delivery capabilities. You won’t have to navigate the complexities of Kubernetes alone, as Rancher benefits from a vast community of users. Developed by Rancher Labs, this software is tailored to assist enterprises in seamlessly implementing Kubernetes-as-a-Service across diverse infrastructures. When it comes to deploying critical workloads on Kubernetes, our community can rely on us for exceptional support, ensuring they are never left in the lurch. In addition, Rancher's commitment to continuous improvement means that users will always have access to the latest features and enhancements.

KVM, which stands for Kernel-based Virtual Machine, serves as a comprehensive virtualization solution for Linux systems operating on x86 hardware equipped with virtualization capabilities (such as Intel VT or AMD-V). It comprises a loadable kernel module, known as kvm.ko, that underpins the essential virtualization framework, along with a processor-specific module, either kvm-intel.ko or kvm-amd.ko. By utilizing KVM, users can operate several virtual machines that run unaltered Linux or Windows operating systems. Each virtual machine is allocated its own set of virtualized hardware components, including a network interface card, storage, graphics adapter, and more. KVM is an open-source project, with its kernel component integrated into the mainline Linux kernel since version 2.6.20, while the userspace aspect has been incorporated into the mainline QEMU project starting from version 1.3. This integration enables widespread deployment and support for various virtualization applications and services.

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.

In today's business landscape, organizations frequently manage a diverse array of workloads, each with varying degrees of critical importance. The most forward-thinking companies are strategically sizing and architecting their IT infrastructure to align with their applications' availability needs, ensuring they only incur costs for what they actually require. For applications that must operate around the clock, fault-tolerant systems are essential, while high availability systems are sufficient for those that can tolerate up to four hours of downtime. everRun streamlines the adaptation to fluctuating availability demands. This flexible, cost-effective, and always accessible software solution, when paired with standard x86 systems, efficiently safeguards your virtualized data and workloads. With everRun, organizations can swiftly and economically achieve the continuous availability levels necessary to meet their operational requirements, adapting seamlessly to their evolving needs in an ever-changing environment.

Contrail Networking delivers a flexible and comprehensive approach to networking policy and control, applicable across various clouds, workloads, and deployment scenarios, all managed from a singular user interface. It converts high-level workflows into detailed policies, making it easier to orchestrate virtual overlay connectivity in diverse environments. Users can implement and manage end-to-end policies effectively across both physical and virtual settings. Built on the open-source network virtualization initiative Tungsten Fabric, Contrail Networking's software-defined networking (SDN) functionality allows for secure workload deployment in any given environment. It ensures seamless overlay connectivity for any workload, regardless of the underlying compute technology, whether it be traditional bare-metal servers, virtual machines, or containers. Additionally, Contrail Command serves as an intuitive operational and management tool, streamlining user interactions and enhancing overall efficiency. This combination of features empowers organizations to maintain robust network performance while adapting to evolving demands.

Enhance your contemporary applications with VMware Tanzu Kubernetes Grid, enabling you to operate the same Kubernetes environment across data centers, public cloud, and edge computing, ensuring a seamless and secure experience for all development teams involved. Maintain proper workload isolation and security throughout your operations. Benefit from a fully integrated, easily upgradable Kubernetes runtime that comes with prevalidated components. Deploy and scale clusters without experiencing any downtime, ensuring that you can swiftly implement security updates. Utilize a certified Kubernetes distribution to run your containerized applications, supported by the extensive global Kubernetes community. Leverage your current data center tools and processes to provide developers with secure, self-service access to compliant Kubernetes clusters in your VMware private cloud, while also extending this consistent Kubernetes runtime to your public cloud and edge infrastructures. Streamline the management of extensive, multi-cluster Kubernetes environments to keep workloads isolated, and automate lifecycle management to minimize risks, allowing you to concentrate on more strategic initiatives moving forward. This holistic approach not only simplifies operations but also empowers your teams with the flexibility needed to innovate at pace.

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.

Our aim is to equip our partners and clients with tailored solutions that cater to their specific digital transformation paths. In various sectors, organizations are compelled to utilize technology to enhance customer engagement and unlock new market potential. Central to this endeavor is the necessity for a dynamic IT infrastructure that adapts to evolving demands and accelerates innovation. We simplify the intricacies of managing virtual infrastructure by providing ultra-fast, on-demand virtual machines, a straightforward API, and a user-friendly self-service control panel for clients, complemented by a robust administration panel for service providers. SolusIO offers a comprehensive suite of virtualization technologies that support both hypervisor and container-based virtualization, enabling centralized management of KVM virtual machines. Additionally, upcoming releases will introduce support for OpenVZ, Virtuozzo, and other technologies, further enhancing our platform's capabilities. This continuous evolution ensures that our clients remain equipped to navigate the complexities of the digital landscape effectively.

Microservices, containers, and Kubernetes empower applications to operate independently from the underlying infrastructure, allowing them to be deployed across various environments. Utilizing VMware Tanzu enables organizations to fully leverage these cloud-native architectures, streamlining the deployment of containerized applications while facilitating proactive management in live environments. The primary goal is to liberate developers, allowing them to focus on creating exceptional applications. Integrating Kubernetes into your existing infrastructure doesn't necessarily complicate matters; with VMware Tanzu, you can prepare your infrastructure for contemporary applications by implementing consistent and compliant Kubernetes across all environments. This approach not only provides a self-service and compliant experience for developers, smoothing their transition to production, but also allows for centralized management, governance, and monitoring of all clusters and applications across multiple cloud platforms. Ultimately, it simplifies the entire process, making it more efficient and effective. By embracing these strategies, organizations can enhance their operational capabilities significantly.

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.

Calico is a versatile open-source solution designed for networking and securing containers, virtual machines, and workloads on native hosts. It is compatible with a wide array of platforms such as Kubernetes, OpenShift, Mirantis Kubernetes Engine (MKE), OpenStack, and even bare metal environments. Users can choose between leveraging Calico's eBPF data plane or utilizing the traditional networking pipeline of Linux, ensuring exceptional performance and true scalability tailored for cloud-native applications. Both developers and cluster administrators benefit from a uniform experience and a consistent set of features, whether operating in public clouds or on-premises, on a single node, or across extensive multi-node clusters. Additionally, Calico offers flexibility in data planes, featuring options like a pure Linux eBPF data plane, a conventional Linux networking data plane, and a Windows HNS data plane. No matter if you are inclined toward the innovative capabilities of eBPF or the traditional networking fundamentals familiar to seasoned system administrators, Calico accommodates all preferences and needs effectively. Ultimately, this adaptability makes Calico a compelling choice for organizations seeking robust networking solutions.

Streamline the self-service provisioning and refreshing of enterprise workloads while seamlessly integrating with your current toolchain. Enable efficient data delivery and reutilization for data scientists via a comprehensive suite of APIs and automation tools. Achieve data recovery across any cloud environment from any moment in time, concurrently and at scale, surpassing traditional legacy solutions. Reduce the impact of ransomware and cyber threats by ensuring rapid recovery through immutable backup systems. A consolidated platform enhances the protection, security, retention, governance, and recovery of your data, whether on-premises or in the cloud. Actifio’s innovative software platform transforms isolated data silos into interconnected data pipelines. The Virtual Data Pipeline (VDP) provides comprehensive data management capabilities — adaptable for on-premises, hybrid, or multi-cloud setups, featuring extensive application integration, SLA-driven orchestration, flexible data movement, and robust data immutability and security measures. This holistic approach not only optimizes data handling but also empowers organizations to leverage their data assets more effectively.

Conduct a thorough examination for unpatched and vulnerable operating systems, third-party applications, and libraries across your virtual machines, network devices, appliances, and endpoint workloads, all prioritized based on risk level. Streamline the management and deployment of essential security updates through our automated patching solution, which features pre-validated and easily reversible patches that can be deployed with a single click. Evaluate the configurations of your servers, network devices, and endpoints to ensure compliance. Leverage our exclusive compliance patching technology to address vulnerabilities for standards such as CIS Level 1 & 2, PCI-DSS, HIPAA, ISO 27001, and others. From static images to active running instances, you can discover, monitor, and maintain security for Docker containers, Kubernetes pods, and microservices in real-time. This comprehensive approach ensures that your entire infrastructure remains secure and compliant with industry standards.

Electronic Team Inc. has been selling Serial to Ethernet Connector for more than a decade. This application allows you to create multiple virtual COM ports from a machine that has no serial interface. This virtual serial port redirector allows you to access the functionality from multiple remote serial devices via the network. The number of virtual ports that you can create using this COM port redirector utility is limited only by your system's capabilities. It transmits serial data via Ethernet from your computer to networked serial devices.

Alongside our dedicated Mac hardware infrastructure, we provide three adaptable and scalable solutions for virtualizing macOS in the cloud. Our developer-centric platform leverages Kubernetes for effortless scalability. We offer virtualization that is tailored specifically for macOS, operating natively on Apple machines. Additionally, we present an industry-standard virtualization option boasting a comprehensive array of enterprise functionalities. Our team of sales engineers specializes in assisting organizations in selecting and configuring the ideal virtualized Mac cloud tailored to their specific needs. Orka efficiently orchestrates macOS within a cloud framework utilizing Kubernetes technology on authentic Apple hardware. It is meticulously crafted for Mac environments while also incorporating conventional cloud orchestration tools, enabling Apple OS development teams to harness container technology features akin to those used for non-Apple applications. Users of Orka benefit from a software-driven, dependable, and high-performance experience using genuine Apple hardware. Anka, on the other hand, is designed explicitly for Mac, employing the official macOS Hypervisor.framework alongside external registry and controller nodes to enhance its efficiency and functionality. This combination of solutions ensures that teams can maximize their productivity while working in a virtualized macOS environment.

Our latest multi-cloud solution features VMware Cloud Foundation-Subscription, which includes Tanzu Standard and introduces a flexible, term-based licensing model for on-premises implementations. This offering caters to both traditional enterprise applications and modern solutions, delivering a comprehensive suite of highly secure software-defined services encompassing compute, storage, networking, security, Kubernetes, and cloud management. By enabling consistent infrastructure and operations across both private and public clouds, businesses can enhance their agility and adaptability. Organizations can experience reduced capital and operational expenditures, alongside a lower total cost of ownership, thanks to standardized operations and an extensive variety of deployment alternatives. This solution allows for the efficient running of workloads at scale without sacrifices, ensuring a uniform infrastructure that supports both legacy enterprise applications and contemporary containerized systems. Additionally, it facilitates the seamless provisioning of dynamic infrastructure sourced from a pool of virtualized resources, whether on-premises, at the edge, or in the cloud, thereby optimizing overall resource utilization.

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.

VMware Workstation Pro is recognized as the leading solution for operating multiple virtual machines (VMs) on a single computer running either Linux or Windows. It is a go-to tool for IT professionals, developers, and organizations involved in creating, testing, or showcasing software across various devices, platforms, or cloud environments. With VMware Workstation Pro, users can simultaneously operate multiple operating systems on their Windows or Linux systems. The software enables the creation of authentic VMs for Linux and Windows, along with other desktop, server, and tablet environments, all equipped with customizable virtual networking and the ability to simulate different network conditions. This makes it ideal for a wide range of activities, including code development, architectural planning, application testing, and product demonstrations. Moreover, users can securely connect to vSphere, ESXi, or other Workstation servers, facilitating the management and control of both virtual machines and physical hosts. A unified VMware hypervisor not only enhances productivity but also simplifies the process of transferring VMs to and from local PCs, making it a versatile tool for professionals. Overall, VMware Workstation Pro stands out as an essential resource in the toolkit of anyone needing to work within virtualized environments.