Alternatives to SUSE Rancher Prime

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

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.

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.

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.

Ambassador Edge Stack, a Kubernetes-native API Gateway, provides simplicity, security, and scalability for some of the largest Kubernetes infrastructures in the world. Ambassador Edge Stack makes it easy to secure microservices with a complete set of security functionality including automatic TLS, authentication and rate limiting. WAF integration is also available. Fine-grained access control is also possible. The API Gateway is a Kubernetes-based ingress controller that supports a wide range of protocols, including gRPC, gRPC Web, TLS termination, and traffic management controls to ensure resource availability.

Netreo is the best full-stack IT infrastructure management and observation platform. Netreo is a single source for truth for proactive performance monitoring and availability monitoring of large enterprise networks, infrastructure, and applications. Our solution is used by: IT executives should have full visibility of the business service, right down to the infrastructure and network that supports them. IT Engineering departments are used as a decision support system to plan and architect modern solutions. IT Operations teams can have real-time visibility into what is going wrong in their environment, which bottlenecks exist, and who it is affecting. All of these insights are available for systems and vendor mix in large heterogeneous environments that are constantly changing. We have a growing list of vendors that we support (over 350 integrations), including network vendors, storage, virtualization, and servers.

Amazon Elastic Container Service (Amazon ECS), is a fully managed container orchestration and management service. ECS is used by customers such as Duolingo and Samsung, GE and Cook Pad to run their most sensitive and critical mission-critical applications. It offers security, reliability and scalability. ECS is a great way to run containers for a variety of reasons. AWS Fargate is serverless compute for containers. You can also run ECS clusters with Fargate. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources and improves security by application isolation by design. ECS is also used extensively in Amazon to power services like Amazon SageMaker and AWS Batch. It is also used by Amazon.com's recommendation engines. ECS is extensively tested for reliability, security, and availability.

Kubernetes is the platform for big ideas. The leading enterprise container platform, hybrid cloud, empowers developers to innovate faster and ship more products. Red Hat OpenShift automates installation, upgrades, lifecycle management, and lifecycle management for the entire container stack, including Kubernetes, cluster services, and applications. It can be used on any cloud. Red Hat OpenShift allows teams to build with speed, agility and confidence. You can code in production mode wherever you choose to build. Do the important work. Red Hat OpenShift focuses on security at all levels of the container stack as well as throughout the application lifecycle. It includes enterprise support from one the most prominent Kubernetes contributors as well as open source software companies.

Amazon Elastic Kubernetes Service is a fully managed Kubernetes services. EKS is trusted by customers such as Intel, Snap and Intuit. It also supports GoDaddy and Autodesk's mission-critical applications. EKS is reliable, secure, and scaleable. EKS is the best place for Kubernetes because of several reasons. AWS Fargate is serverless compute for containers that you can use to run your EKS clusters. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources and improves security by application isolation by design. EKS is also integrated with AWS Identity and Access Management, AWS CloudWatch, Auto Scaling Groups and AWS Identity and Access Management, IAM, and Amazon Virtual Private Cloud (VPC), allowing you to seamlessly monitor, scale, and load balance your applications.

Advanced apps can be run on a managed Kubernetes service that is secured and managed. GKE is an enterprise-grade platform that allows containerized applications to run, including stateful and non-stateful, Linux and Windows, AI and ML and complex web apps. It also supports APIs and backend services. You can leverage industry-first features such as four-way auto scaling and no stress management. Optimize GPU/TPU provisioning, make use of integrated developer tools, and get multicluster support from SREs. Single-click clusters allow you to quickly get started. You can leverage a high-availability control plan that includes multi-zonal clusters and regional clusters. Reduce operational overhead by using auto-repair, automatic-upgrade, or release channels. Secure by default, with vulnerability scanning of container images as well as data encryption. Integrated Cloud Monitoring with infrastructure, application and Kubernetes specific views. You can speed up app development without compromising security.

Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.

Azure Red Hat OpenShift is a highly available, fully-managed OpenShift Cluster on Demand, monitored and operated by Microsoft and Red Hat jointly. Red Hat OpenShift is built around Kubernetes. OpenShift adds value to Kubernetes by bringing additional features, making it an integrated container platform as a Service (PaaS), with a significantly enhanced developer and operator experience. Highly available, fully-managed public and private clusters. Automated operations. Over-the-air platform updates. Use the web console's enhanced user interface to build, deploy and configure containerized applications, as well as cluster resources.

From datacenter to cloud to edge, Rancher lets you deliver Kubernetes-as-a-Service. Rancher is a complete stack of software for teams that adopt containers. It addresses the security and operational challenges associated with managing multiple Kubernetes clusters. It also provides DevOps teams integrated tools to run containerized workloads. Rancher's open-source software allows you to run Kubernetes anywhere, from the edge to the cloud to the datacenter. Rancher is a great choice compared to other Kubernetes management platforms. You don't have to figure Kubernetes by yourself. Rancher is an open-source software with a large user base. Rancher Labs builds software that helps enterprises deliver Kubernetes-as-a-Service across any infrastructure. Our community is familiar with the fact that we can provide world-class support when Kubernetes workloads are running in mission-critical environments.

K3s is a highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Binaries and multiarch images are available for both ARM64 and ARMv7. K3s can be used on anything from a Raspberry Pi to a 32GiB AWS server. Sqlite3 is the default storage method for light-weight storage backends. Also available: etcd3, MySQL, Postgres. Secure by default with reasonable defaults in light environments. A local storage provider, a service balancer, a Helm control, and the Traefik Ingress controller are all simple but powerful features that have been "batteries-included". All Kubernetes control-plan components are encapsulated in one binary and process. This allows K3s automate complex cluster operations such as distributing certificates.

Deploy and Orchestrate Applications on a Managed Kubernetes Platform with centralized, SaaS based management of distributed apps with a single-pane of glass and rich observeability. Simplify deployments by managing them as a single instance across on-prem cloud and edge locations. With a single Kubernetes-compatible API, you can manage and scale applications across multiple clusters (customer sites, F5 Distributed cloud Regional Edge or customer sites) with ease. Deploy, deliver and secure applications across all locations in a single "virtual location". Distributed applications can be deployed, secured, and operated with production grade Kubernetes, no matter where they are located, from the public cloud to the edge. Secure K8s Gateway for zero-trust security from the cluster to the ingress services, including WAAP, network and application firewall, and service policies management.

It is a simple and flexible task orchestrator that deploys and manages containers and non-containerized apps across on-prem as well as cloud environments. One 35MB binary that can be integrated into existing infrastructure. It is easy to use on-prem and in the cloud with minimal overhead. You can orchestrate any type of application, not just containers. First-class support for Docker and Windows, Java, VMs, VMs, and other technologies. Orchestration benefits can be added to existing services. Zero downtime deployments, increased resilience, higher resource utilization, as well as greater resilience can all be achieved without containerization. Multi-region, multicloud federation - single command Nomad is a single control plane that allows you to deploy applications worldwide to any region. One workflow to deploy to cloud or bare metal environments. Multi-cloud applications can be enabled with ease. Nomad seamlessly integrates with Terraform Consul and Vault for provisioning and service networking. Secrets management is also possible.

Red Hat Advanced Cluster Management with Kubernetes allows you to manage clusters and applications using a single console. It also includes built-in security policies. Red Hat OpenShift can be extended by deploying applications, managing multiple clusters and enforcing policy across multiple clusters. Red Hat's solution monitors usage, ensures compliance and maintains consistency. Red Hat Advanced Cluster Management is included in Red Hat OpenShift Plus. This complete set of powerful and optimized tools will help you secure, manage, and protect your apps. Manage any Kubernetes Cluster in your fleet and run your operations anywhere Red Hat OpenShift is running. Self-service provisioning speeds up application development pipelines. Distributed clusters can be used to deploy cloud-native and legacy applications. Self-service cluster deployment automates the delivery of applications, freeing up IT departments.

SUSE CaaS Platform, an enterprise-class container management platform, enables IT and DevOps professionals more easily to deploy, manage, scale, and scale container-based services and applications. It also includes Kubernetes, which automates the lifecycle management of modern apps, and other technologies that enrich Kubernetes. This makes it easy to use the platform. Enterprises that use the SUSE CaaS Platform are able to reduce application delivery times and improve their business agility.

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

Most Kubernetes platforms let you spin up and manage Kubernetes clusters. Loft doesn't. Loft is an advanced control plan that runs on top your Kubernetes clusters. It adds multi-tenancy and self service capabilities to these clusters in order to get the most out of Kubernetes. Loft offers a powerful UI/CLI, but it is 100% Kubernetes. You can control everything via Kubectl or the Kubernetes API. This allows for seamless integration with cloud-native tools. Our DNA is built on open-source software. Loft Labs is a CNCF and Linux Foundation member. Loft allows companies to empower employees to create low-cost Kubernetes environments that are easy to use for a variety purposes.

Azure Kubernetes Services (AKS), a fully managed service that manages containerized applications, makes it easy to deploy and manage them. It provides serverless Kubernetes and integrated continuous integration/continuous delivery (CI/CD), as well as enterprise-grade security, governance, and governance. You can quickly build, deliver, scale and scale applications using confidence by bringing together your operations and development teams. You can easily provision additional capacity by using elastic provisioning without having to manage the infrastructure. KEDA allows for event-driven autoscaling. Azure Dev Spaces allows for faster end-to-end development, including integration with Visual Studio Code Kubernetes tools and Azure DevOps. Azure Policy allows for advanced identity and access management, as well as dynamic rules enforcement across multiple clusters. More regions are available than any other cloud provider.

Amazon EKS Anywhere, a new Amazon EKS deployment option, allows you to create and manage Kubernetes clusters anywhere. This includes on your own virtual machines (VMs), and bare metal servers. EKS Anywhere offers an easy-to-install software package that allows you to create and operate Kubernetes clusters. It also includes automation tools for supporting the cluster's lifecycle. EKS Anywhere provides a consistent AWS management experience for your data center. It builds on the strengths and capabilities of Amazon EKS Distro (the same Kubernetes which powers EKS on AWS). EKS Anywhere makes it easy to buy or build your own management tools. It allows you to create EKS Distro clusters and update software. You can also handle backup and recovery. EKS Anywhere allows you to automate cluster management, reduce support cost, and eliminate redundant effort of using multiple open-source or third-party tools to operate Kubernetes clusters. AWS fully supports EKS Anywhere.

Azure Kubernetes Service clusters can easily handle multicluster scenarios, such as workload propagation (for traffic flowing to member clusters) and upgrade orchestration. Fleet cluster allows for centralized management at scale of all clusters. The managed hub cluster will take care of upgrades and Kubernetes configuration for you. Kubernetes configuration dissemination allows you to use policies and overrides for disseminating objects across clusters. North-South load balancer orchestrates traffic across workloads deployed across multiple member clusters in the fleet. Group any combination Azure Kubernetes Service clusters (AKS) to simplify multi-cluster workflows such as Kubernetes configuration dissemination and multi-cluster network. Fleet requires a hub Kubernetes Cluster to store configurations such as placement policy and multi-cluster networking.

Welcome to K8 Studio - your ultimate cross platform client IDE for effortless Kubernetes Cluster management. You can deploy seamlessly to popular platforms like EKS, GKE and AKS or your dedicated bare-metal setup. Connect to your cluster using an intuitive interface that provides a visual representation of services, nodes, pods and more. With a single click, you can access logs, detailed descriptions of elements, and a bash console. K8Studio features are user-friendly and will enhance your Kubernetes experiences. Grid view provides a tabular display for all Kubernetes items. The left bar allows the user to select specific object types. This view is interactive and updated in real-time. Users can easily search and filter objects based on namespaces, and rearrange columns. Organizes workloads by namespace, instance, and services. Visualize object connections to quickly count pods and check status.

TKE is compatible with all Kubernetes capabilities. It has been adapted to Tencent Cloud’s fundamental IaaS capabilities, such as CVM or CBS. Tencent Cloud's Kubernetes cloud products, such as CBS or CLB, allow for one-click deployment to container clouds for a variety open-source applications. This greatly improves deployment efficiency. TKE makes it easy to manage large-scale clusters, as well as the management and OPS distributed applications. You don't need to use cluster management software. Launch TKE, specify the tasks that you wish to run, and TKE will handle all the cluster management tasks. This allows you to concentrate on developing Dockerized apps.

You can accelerate your development by using a storage platform that integrates with Kubernetes. While you focus on running your application we ensure that you have the persistent volumes you need to give you the stability and scale you require. Integrating stateful storage into Kubernetes will simplify your app modernization process and increase efficiency. You can run your database or any other persistent workload in a Kubernetes-based environment without worrying about managing the storage layer. Ondat allows you to provide a consistent storage layer across all platforms. We provide persistent volumes that allow you to run your own databases, without having to pay for expensive hosted options. Kubernetes data layer management is yours to take back. Kubernetes-native storage that supports dynamic provisioning. It works exactly as it should. API-driven, tight integration to your containerized applications.

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

Container Engine for Kubernetes is an Oracle-managed container orchestration platform that can help you build modern cloud native apps in a shorter time and at a lower cost. Oracle Cloud Infrastructure offers Container Engine for Kubernetes free of charge, running on more efficient and lower-cost compute shapes than most other vendors. Open-source Kubernetes can be used by DevOps engineers for application workload portability, and to simplify operations with automatic updates. With a single click, deploy Kubernetes clusters, including the underlying virtual clouds networks, internet gateways and NAT gateways. Automate Kubernetes operations using web-based REST API or CLI. This includes cluster creation, scaling, operations, and maintenance. Cluster management is free with Oracle Container Engine for Kubernetes. You can easily and quickly upgrade container clusters with zero downtime to keep them current with the latest stable version Kubernetes.

AppFactor reduces the labor and cost that would be required to manually modernize an application. Our platform empowers teams after modernization to deploy, operate and maintain existing applications in a more cost-effective and efficient manner. Increase engineering velocity, upgrade your business-critical apps, streamline innovation and gain a competitive advantage. Transform legacy apps, both physical and virtual, into cloud-native forms to kickstart the iterative modernization, deployment, and improvement of architecture. Intelligently persist runtime relationships and process-toprocess relationships across multiple server hosts in cloud-native architectures. Accelerate legacy apps and integrate them into CI/CD pipelines. Remove old physical and virtual infrastructure, along with the need to maintain operating systems. Modernize your cloud migration as you move to more mature cloud services, such as Kubernetes or PaaS.

With VMware Tanzu Kubernetes grid, you can power your modern applications. For a consistent, secure experience, all developers can use the same K8s in data center, edge, and public cloud. Your workloads should be kept secure and isolated. You can get a complete Kubernetes runtime that is easy to upgrade with preintegrated, validated components. Scale all clusters with no downtime Security fixes can be applied quickly. You can run containerized applications on a Kubernetes certified distribution. This distribution is supported by the global Kubernetes network. Your existing data center tools, workflows, and data centers can be used to provide developers secure, self-serve, access to conformant Kubernetes clouds in your VMware private cloud. You can also extend the same Kubernetes runtime to your public cloud or edge environments. You can simplify operations in large-scale, multicluster Kubernetes environments and keep your workloads isolated. Automate lifecycle management to reduce risk and shift your focus towards strategic work.

EKS is community-driven. It supports the latest Kubernetes version and native Kubernetes cluster administration. It is available as a plugin that supports Tencent Cloud products such as storage, networking, load balancers, and other services. EKS is built on Tencent Cloud’s well-developed virtualization technology. It also uses Tencent Cloud’s network architecture to provide 99.95% service availability. Tencent Cloud ensures that EKS clusters are isolated from each other via virtual and network isolation. You can set up network policies for specific products by using security groups, network ACLs, and other options. EKS's serverless framework ensures better resource utilization and lower OPS cost. EKS uses only the resources required by the current load. Flexible and efficient auto scaling makes sure that EKS is only using the resources necessary. EKS can integrate with many Tencent Cloud services such as CBS, CFS and COS, TencentDB products and VPC.

Alibaba Cloud offers Container Service for Kubernetes, which is a fully managed service. ACK integrates with services such as virtualization and storage to provide a highly scalable Kubernetes environment for containerized applications. Alibaba Cloud is a Kubernetes Certified Service Provider, (KCSP), and ACK has been certified by Certified Kubernetes Conformance Program. This ensures consistent Kubernetes experience and workload portability. Kubernetes Certified Services Provider (KCSP), and qualified by Certified Kubernetes conformance Program. Kubernetes consistency and workload portability. Deep and rich cloud native capabilities for enterprise-class enterprises. Provides fine-grained access control and application security. Allows you quickly to create Kubernetes Clusters. Container-based management of applications during the entire application lifecycle.

Anthos allows you to create, deploy, manage, and monitor applications from anywhere in a secure and consistent way. Modernize existing applications on virtual machines and deploy cloud-native apps on containers. This allows you to create hybrid and multi-cloud environments. Our application platform ensures consistency in development and operations across all deployments, while reducing operational overhead and increasing developer productivity. Anthos GKE Enterprise-grade container orchestration service and management service to run Kubernetes clusters in any environment, cloud or on-premises. Anthos Config Management: Create, automate, enforce policies across environments to meet your company's unique security requirements. Anthos Service Mesh: Anthos relieves development and operations teams of the burden of managing and securing traffic between services, while monitoring, troubleshooting and improving application performance.

xCAT is an open-source tool that automates the deployment, scaling and management of virtual machines and bare metal servers. It provides comprehensive management capabilities for high performance computing clusters. This includes render farms, grids and web farms. xCAT is an extensible framework based upon years of system administration experience. It allows administrators to discover hardware servers and execute remote system management. They can also provision operating systems in virtual or physical machines, both in diskless and disk mode, install and configure applications, and perform system management in parallel. The toolkit is compatible with ppc64le architectures, such as x86_64 and ppc64, and supports a variety of operating systems including Red Hat Ubuntu SUSE and CentOS. It integrates management protocols such as IPMI, HMC FSP and OpenBMC to facilitate remote console access.

With over 14,000 clusters of managed production, we are leading the charge. This is just the beginning. Operational visibility into Kubernetes-based services, platforms, and applications. Advanced features to monitor, troubleshoot, create alerts, and build custom dashboards. Cluster level, 30-day retention and natural language processing are all available. High security environment for production workloads. Integrate with advanced IBM services such as AI, Watson and Blockchain to extend your app's capabilities. This is done through an automated, standardized, and secure architecture. This includes Kubernetes secrets that can be managed by customers through IBM Cloud™. Key Protect

Kubernetes-as-a-Service for multi-cloud, on-premises, and edge. The simplicity of public cloud with the control and flexibility of DIY. 100% Certified Kubernetes Administrators. Overcome talent scarcity. Get 99.9% uptime, auto-upgrading, and scaling support by world-class Kubernetes administrators who are 100% certified. Future-proof your cloud-native journey by integrating multi-cloud, data center and edge integrations with auto-provisioning and out-of-the box edge. With a rich collection of pre-built cloud services and infrastructure plug-ins, you can quickly deploy k8s clusters. Cloud Architects can help you with design, integrations, and onboarding. PMK is a SaaS managed services that integrates with your infrastructure to instantly create Kubernetes Clusters. Clusters are integrated with monitoring and log aggregation so that you can concentrate on building apps.

Modern cloud-native applications running on Kubernetes environments require assistance with scaling, securing, and monitoring. Gloo Mesh, utilizing the Istio service mesh, streamlines the management of service mesh for multi-cluster and multi-cloud environments. By incorporating Gloo Mesh into their platform, engineering teams can benefit from enhanced application agility, lower costs, and reduced risks. Gloo Mesh is a modular element of Gloo Platform. The service mesh allows for autonomous management of application-aware network tasks separate from the application, leading to improved observability, security, and dependability of distributed applications. Implementing a service mesh into your applications can simplify the application layer, provide greater insights into traffic, and enhance application security.

Multi-Cloud, Multi-Cluster Kubernetes App Deployment & Migration Made Simple. With CAPE, unleash your K8s power. Key Features Disaster Recovery. Disaster Recovery Data Mobility & Migration. Stateful application backup and restore. Secure application and data management, and migration across public, private, and on-prem clouds. Multi-cluster Application Deployment. Stateful application deployment across multi-cluster & multi-cloud. Drag and Drop CI/CD Workflow Management. Simple UI for complex CI/CD pipeline configuration and deployment. CAPE for K8s Disaster Recovery Cluster Migration Cluster Upgrades Data Migration Data Protection Data Cloning App Deployment. Advanced Kubernetes functions like Disaster Recovery, Data Mobility & Migration Cluster Upgrades Data Migration Data Protection Data Cloning App Deployment and CI/CD across private, public and on-prem clouds are simplified by CAPE™. Multi-Cluster Application Deployment. Control plane to manage application and services, federate clusters.

D2iQ Enterprise Kubernetes Platform (DKP) Enterprise Kubernetes Platform: Run Kubernetes Workloads at Scale D2iQ Kubernetes Platform (DKP): Adopt, expand, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Solve the Toughest Enterprise Kubernetes Challenges Accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure. * Enable Day 2 Readiness Out-of-the-Box Without Lock-In * Simplify and Accelerate Kubernetes Adoption * Ensure Consistency, Security, and Performance * Expand Kubernetes Across Distributed Environments * Ensure Fast, Simple Deployment of ML and Fast Data Pipeline * Leverage Cloud Native Expertise

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

Enterprise observability for all of your teams at scale Traditional tools only detect simple threshold-based anomalies. This makes it difficult to distinguish between real issues and false alarms. VMware Tanzu Observability from Wavefront allows you to create smart alerts that dynamically filter out noise and capture true anomalies. It is difficult to troubleshoot distributed cloud applications because of many moving parts, dependencies on other applications, and frequent code changes. Wavefront tracks all metrics from your cloud applications, infrastructure, and clouds. It can be difficult to find the right needle when dealing with thousands of metrics from containerized microservices and distributed cloud applications. AI Genie™, which automatically identifies "unknown unknowns", allows you to quickly find the root cause of an incident - isolate applications, infrastructure, and cloud.

OKD is, in short, a very opinionated Kubernetes deployment. Kubernetes is an open-source collection of software and patterns for operating applications at scale. We add some features as modifications to Kubernetes but we augment the platform primarily by "preinstalling", or installing, a large number of pieces of software known as Operators in the deployed cluster. These operators provide all of the cluster components (over one hundred of them) which make up our platform, including OS upgrades, web consoles and monitoring, as well as image-building. OKD can be run on all scales, from cloud to metal and edge. The installer can be fully automated (such AWS) or configured to fit custom environments (such metal or labs). OKD adopts the latest technology and best practices. This is a great platform for students and technologists to experiment, learn and contribute across the cloud eco-system.

NVIDIA Base command manager offers end-to-end management and fast deployment for heterogeneous AI clusters and high-performance computing at the edge, data center and in multi-cloud and hybrid environments. It automates provisioning and management of clusters from a few nodes up to hundreds of thousands of nodes, supports NVIDIA GPU accelerated systems and other systems and enables orchestration using Kubernetes. The platform integrates Kubernetes to orchestrate workloads and provides tools for infrastructure monitoring and workload management. Base Command Manager has been optimized for accelerated computing environments and is suitable for diverse HPC workloads. It is available on NVIDIA DGX Systems and as part the NVIDIA AI enterprise software suite. NVIDIA Base Command Manager allows you to quickly build and manage high-performance Linux clusters for HPC, machine learning and analytics applications.

DxEnterprise Smart Availability Software DxEnterprise Smart Availability software is available for Windows Server, Linux, and Docker. It can manage multiple workloads at the instance and Docker levels. DxEnterprise is optimized for native and containerized Microsoft SQL Server deployments on any platform. It can also manage Oracle on Windows. DxE supports all Docker containers on Windows and Linux. This includes Oracle, MySQL, PostgreSQL and MariaDB. Our graphical user interface, Windows PowerShell, or DxMobi mobile app for Android and iOS smartphones, makes management easy and flexible.

Container-based workloads, full GPU support and autoscaling. Custom built solutions. Worker will take care of your jobs so that you can concentrate on your application. Hosted background job solution that allows you to manage your containers with dynamic scale and detailed analytics. You can run short-term containers quickly or containers that need to be used over multiple days. We can help you with any job, no matter how small or large. You can confidently containerize your background tasks. Our shared infrastructure will allow you to run your containers. You can use dedicated hardware to support your workloads. This is a great option if you need consistent performance and throughput. Our autoscale technology allows you to scale up or down depending on your usage. We manage scheduling, authentication, and all other details. You can run workers on your hardware. This is a great option if you have your own infrastructure or have higher security requirements.

Tungsten Clustering is the only fully-integrated, fully-tested, fully-tested MySQL HA/DR and geo-clustering system that can be used on-premises or in the cloud. It also offers industry-leading, fastest, 24/7 support for Percona Server, MariaDB and MySQL applications that are business-critical. It allows businesses that use business-critical MySQL databases to achieve cost-effective global operations with commercial-grade high availabilty (HA), geographically redundant disaster relief (DR), and geographically distributed multimaster. Tungsten Clustering consists of four core components: data replication, cluster management, and cluster monitoring. Together, they handle all of the messaging and control of your Tungsten MySQL clusters in a seamlessly-orchestrated fashion.

ClusterVisor, an HPC cluster system, provides comprehensive tools to deploy, provision, manage, monitor, and maintain high-performance computing clusters through their entire lifecycle. It offers flexible deployment options, such as appliance deployment, which decouples the cluster management from head node and enhances system resilience. The platform includes LogVisor AI - an integrated log file analyzer that uses AI to classify logs according to severity. This allows for the creation of actionable alarms. ClusterVisor provides a set of tools to manage nodes, support user and group accounts, and provide customizable dashboards that allow comparisons and visualizations across multiple nodes and devices. It offers disaster recovery capabilities, storing system images to reinstall nodes. It also provides an intuitive web-based tool for rack diagramming, and allows comprehensive statistics and monitoring.

Tencent Container Registry (TCR), offers high-performance, secure container image hosting and distribution services. To reduce bandwidth and time, you can create dedicated instances in multiple locations around the world and pull container images from your nearest region. TCR offers data security with granular permission management. Access control is also available. It supports P2P accelerated distributed to break the performance bottleneck caused by concurrent pulling large images by large-scale clusters. This will allow you to quickly expand and update your business. TCR can be customized to set up image synchronization rules. You can also use TCR with your existing CI/CD workflows to quickly implement container DevOps. TCR instance supports containerized deployment. To manage sudden spikes in business traffic, you can dynamically adjust your service capability based upon actual usage.

IBM Spectrum LSF Suites are a workload manager and job scheduler designed for distributed high-performance computation (HPC). Terraform-based automated provisioning and configuration of resources for an IBM Spectrum LSF cluster on IBM Cloud are available. Our integrated solution for mission critical HPC environments increases user productivity and hardware usage while reducing management costs. The heterogeneous architecture is highly scalable and supports high-throughput workloads and traditional high-performance computing. It is also suitable for containerized, big data, GPU machine-learning, and cognitive workloads. IBM Spectrum LSF Suites' dynamic HPC cloud support allows organizations to intelligently utilize cloud resources based upon workload demand. It supports all major cloud providers. Use advanced workload management with policy-driven schedules, including GPU scheduling and a dynamic hybrid cloud to add capacity as needed.

Manage, optimize, and optimize HPC and large compute clusters at any scale. You can deploy full clusters and other resources including schedulers, compute VMs (storage, networking, and caching), and other resources such as cache, network, networking, and storage. Advanced policy and governance features allow you to customize and optimize clusters, including cost controls, Active Directory integration and monitoring. You can continue using your existing job scheduler and other applications. Administrators have complete control over who can run jobs and where they are located. You can take advantage of autoscaling and battle-tested references architectures for a wide variety of HPC workloads. CycleCloud supports every job scheduler and software stack, from proprietary in-house to open source, third-party, or commercial. Your cluster should adapt to your changing resource requirements. Scheduler-aware autoscaling allows you to match your resources to your workload.