Alternatives to Tencent Kubernetes Engine

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

SUSE Rancher Prime is designed to meet the needs of DevOps teams who deploy applications using Kubernetes, and IT operations that deliver enterprise-critical services. SUSE Rancher Prime is compatible with any CNCF-certified Kubernetes Distribution. RKE is available for on-premises workloads. We support all public cloud distributions including EKS AKS and GKE. We offer K3s at the edge. SUSE Rancher prime provides easy, consistent cluster operation, including provisioning and version management, visibility, diagnostics, monitoring, alerting and centralized audit. SUSE Rancher Prime automates processes and applies a consistent security and user access policy to all clusters, regardless of where they are running. SUSE Rancher Prime offers a wide range of services to build, deploy, and scale containerized applications. These include app packaging, CI/CD and monitoring.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Bright Cluster Manager offers a variety of machine learning frameworks including Torch, Tensorflow and Tensorflow to simplify your deep-learning projects. Bright offers a selection the most popular Machine Learning libraries that can be used to access datasets. These include MLPython and NVIDIA CUDA Deep Neural Network Library (cuDNN), Deep Learning GPU Trainer System (DIGITS), CaffeOnSpark (a Spark package that allows deep learning), and MLPython. Bright makes it easy to find, configure, and deploy all the necessary components to run these deep learning libraries and frameworks. There are over 400MB of Python modules to support machine learning packages. We also include the NVIDIA hardware drivers and CUDA (parallel computer platform API) drivers, CUB(CUDA building blocks), NCCL (library standard collective communication routines).

Kubernetes Clusters can be centrally deployed, managed, and run across all your environments using a comprehensive container orchestration platform. This platform finally delivers on the Kubernetes promise. Kublr has been optimized for large enterprises and provides multi-cluster deployments as well as observability. We made it simple so that your team can concentrate on what is really important: innovation and value-generation. Kublr provides the flexible, comprehensive tools that allow you to deploy Kubernetes clusters of enterprise-quality Kubernetes clusters right away. Enterprise-grade container orchestration may start with Docker or Kubernetes. The platform is easy to use for organizations new to Kubernetes, while offering the control and flexibility that mature organizations require. Master self-healing is important, but true high availability can only happen with additional node self healing, which ensures worker nodes are as reliable and reliable as the cluster.

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.

Cloud Foundry makes it easier to build, test and deploy applications faster. It offers a variety of cloud, developer frameworks and application services. It is open-source and available through a variety private cloud distributions as well as public cloud instances. Cloud Foundry uses a container-based architecture to run apps in any programming language. You can deploy apps to CF with your existing tools and without any modifications to the code. With CF BOSH, you can instantly deploy, manage, and manage Kubernetes clusters that are high-availability. You can decouple applications from infrastructure to make individual decisions about where to host workloads. This allows you to move workloads as needed in minutes with no changes to your app.

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.

AWS ParallelCluster, an open-source tool for cluster management, simplifies the deployment of High-Performance Computing clusters (HPC) on AWS. It automates resource setup, including compute nodes and a shared filesystem. It also supports multiple instance types and queues for job submission. ParallelCluster can be accessed via a graphical interface, command line interface, or API. This allows for flexible cluster management and configuration. The tool integrates with AWS Batch and Slurm to facilitate seamless migration of HPC workloads into the cloud. AWS ParallelCluster comes at no extra cost; users pay only for the AWS resources used by their applications. AWS ParallelCluster allows you to use a simple text document to model, provision and dynamically scale resources for your applications. This can be done in an automated, secure and automated manner.

You can automate the cluster scaling and deployment on demand, and concentrate on processing, analysis and reporting big data. Our operations team is able to handle cluster operations thanks to the accumulation of massively distributed computing technologies over many years. It automatically scales clusters up to improve computing capability in peak periods and down to reduce costs in the valley period. It provides a management console that facilitates cluster management, template customization and task submission. By deploying with the BCC it can focus on its own business during a busy period and help the BMR to calculate the big data when there is free time. This reduces the overall IT expenditure.

TrinityX, an open-source cluster management system created by ClusterVision to provide 24/7 oversight of High-Performance Computing and Artificial Intelligence environments. It provides a reliable, SLA-compliant system of support, allowing users the freedom to focus on their research, while still managing complex technologies like Linux, SLURM CUDA, InfiniBand Lustre and Open OnDemand. TrinityX simplifies cluster deployment with an intuitive interface that guides users step-bystep in configuring clusters for diverse purposes such as container orchestration, HPC and InfiniBand/RDMA. The BitTorrent protocol enables rapid deployment and setup of AI/HPC Nodes. The platform offers a dashboard that provides real-time insights on cluster metrics, resource usage, and workload distribution. This allows for the identification of bottlenecks, and optimizes resource allocation.

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

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

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.

Deploy production-ready Kubernetes clusters in days. Rapidly onboard users. With an intuitive and powerful DevOps tool, you can conquer Kubernetes complexity. Reduce friction between teams, improve alignment, and increase productivity. Nirmata's Kubernetes policy manager will ensure that you have the right security, compliance, and Kubernetes governance in order to scale efficiently. The DevSecOps Platform allows you to manage all your Kubernetes applications, policies, and clusters from one place, while streamlining operations. Nirmata's DevSecOps platform can integrate with cloud providers (EKS/AKS, GKE/OKE, etc.). and infrastructure-based solutions (VMware and Nutanix, Bare Metal) and solves Kubernetes operation challenges for enterprise DevOps team members with powerful Kubernetes governance and management capabilities.

Secure and observability SaaS platform that charges per-use for containers, Kubernetes and the cloud. Live view of dependencies and how services communicate with each other in multi-cluster, hybrid, and multi-cloud environments. You can eliminate the setup and onboarding steps, and you can troubleshoot any Kubernetes security or observability issues in minutes. Calico Cloud is a next generation security and observability SaaS platform that supports containers, Kubernetes and cloud. It allows organizations of all sizes and budgets to protect their cloud workloads, containers, detect threats, maintain compliance, and troubleshoot issues in real time across multi-cluster, hybrid, and multi-cloud deployments. Calico Cloud is built upon Calico Open Source, which is the most widely used container networking and security solution. Instead of managing a platform that provides Kubernetes security or observability, teams can use it as a managed service to speed up analysis, relevant actions, and so on.

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.

Cloud native infrastructure provisioning and management doesn't need to be difficult. It can be as easy as point-and click. Mirantis Container Cloud gives developers and administrators the ability to deploy Kubernetes or OpenStack environments from one pane of glass. This includes hosted bare metal, on-prem, and public clouds. No more scheduling and updating. Access new features faster, with zero downtime for workloads and clusters. Your developers will be able to create, monitor, and manage Kubernetes Clusters with ease, using custom guardrails. Mirantis Container Cloud provides a single platform to manage all aspects of your hybrid infrastructure estate. Mirantis Container Cloud deploys and manages Mirantis Kubernetes Engine container deployments as well as Mirantis OpenStack virtualization environments.

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.

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.

Pipeshift is an orchestration platform that allows for the deployment and scaling of open-source AI components. This includes embeddings and vector databases as well as large language models, audio models and vision models. The platform is cloud-agnostic and offers end-toend orchestration to ensure seamless integration and management. Pipeshift's enterprise-grade security is a solution for DevOps, MLOps, and MLOps teams looking to build production pipelines within their own organization, instead of using experimental API providers who may not have privacy concerns. The key features include an enterprise MLOps dashboard for managing AI workloads like fine-tuning and distillation; multi-cloud orchestration, with built-in autoscalers and load balancers; and Kubernetes Cluster Management.

It is not the way we understand WYSIWYG if we only see an RTF-Editor displayed in a popup window. To create beautiful content, authors need to have complete control over the length of paragraphs, line breaks and table widths. Only tags and server-side Javascript. No java in any template code. OpenWGA Developer Studio facilitates software development by providing all the tools needed to create, develop and deploy OpenWGA web apps. OpenWGA Java CMS is the ideal platform for running enterprise-critical business applications because of its advanced technologies, including secure cluster architecture, JMX monitoring and integrated REST API. OpenWGA CMS cluster management framework supports secure cluster communication and distributed task execution. It also includes its own integrated session replication and optimized resource handling.

OpenSVC is a free software solution that provides tools for service mobility and clustering, container orchestration and management, configuration management, as well as comprehensive infrastructure auditing. The platform consists of two main components. The agent acts as a clusterware, container orchestrator and configuration manager. It facilitates the deployment, management and scaling of services in diverse environments including on-premises virtual machines and cloud instances. It supports a variety of operating systems, including Unix, Linux BSD, macOS and Windows. It also offers features such as cluster DNS, backend networking, ingress gateways and scalers. The collector aggregates the data reported by agents, and fetches all information from site infrastructure, such as networks, SANs and storage arrays. It is a flexible, reliable and secure data storage.

Appvia Wayfinder provides a dynamic solution to manage your cloud infrastructure. It gives your developers self-service capabilities that let them manage and provision cloud resources without any hitch. Wayfinder's core is its security-first strategy, which is built on principles of least privilege and isolation. You can rest assured that your resources are safe. Platform teams rejoice! Centralised control allows you to guide your team and maintain organisational standards. But it's not just business. Wayfinder provides a single pane for visibility. It gives you a bird's-eye view of your clusters, applications, and resources across all three clouds. Join the leading engineering groups worldwide who rely on Appvia Wayfinder for cloud deployments. Do not let your competitors leave behind you. Watch your team's efficiency and productivity soar when you embrace Wayfinder!

You can set policies to manage and control cloud-native environments. This will not affect speed or agility. Budgets can be allocated to specific projects or teams. You can also keep track of costs and manage resource usage. Real-time alerts are generated for overruns. Track the entire asset life cycle, from creation and ownership to modification and termination. Decentralized development teams can be analyzed in detail to determine resource consumption and costs. Developers can then be engaged in creating value for each deployment. You can ensure that microservices, containers and pods as well as Kubernetes clusters have a minimal resource footprint without compromising reliability, availability or performance. Replex allows you the right size Kubernetes instances and Kubernetes nodes based on historical utilization data. It is a single source for all performance-critical metrics.

Nutanix Kubernetes Platform simplifies platform engineering through a reduction in operational complexity, and consistency across all environments. All components required for production-ready Kubernetes are included in a turnkey solution. Nutanix Cloud Infrastructure is not required to deploy in the public cloud. Composed of CNCF upstream projects that are fully validated and integrated, but can be easily replaced. Simplify microservices management, while improving observability and safety. Add multi-cluster management to your Kubernetes public cloud deployments without having to migrate to another runtime. Use AI to get the most from Kubernetes. This includes anomaly detection, root cause analysis, and an intelligent chatbot that provides best practices and drives consistency.