Alternatives to Cycle

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

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.

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

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.

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 (ECS) is a comprehensive container orchestration platform that is fully managed. Notable clients like Duolingo, Samsung, GE, and Cook Pad rely on ECS to operate their critical applications due to its robust security, dependability, and ability to scale. There are multiple advantages to utilizing ECS for container management. For one, users can deploy their ECS clusters using AWS Fargate, which provides serverless computing specifically designed for containerized applications. By leveraging Fargate, customers eliminate the need for server provisioning and management, allowing them to allocate costs based on their application's resource needs while enhancing security through inherent application isolation. Additionally, ECS plays a vital role in Amazon’s own infrastructure, powering essential services such as Amazon SageMaker, AWS Batch, Amazon Lex, and the recommendation system for Amazon.com, which demonstrates ECS’s extensive testing and reliability in terms of security and availability. This makes ECS not only a practical option but a proven choice for organizations looking to optimize their container operations efficiently.

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.

Kubernetes serves as a powerful foundation for transformative ideas. It enables developers to innovate and deliver projects more rapidly through the premier hybrid cloud and enterprise container solution. Red Hat OpenShift simplifies the process with automated installations, updates, and comprehensive lifecycle management across the entire container ecosystem, encompassing the operating system, Kubernetes, cluster services, and applications on any cloud platform. This service allows teams to operate with speed, flexibility, assurance, and a variety of options. You can code in production mode wherever you prefer to create, enabling a return to meaningful work. Emphasizing security at all stages of the container framework and application lifecycle, Red Hat OpenShift provides robust, long-term enterprise support from a leading contributor to Kubernetes and open-source technology. It is capable of handling the most demanding workloads, including AI/ML, Java, data analytics, databases, and more. Furthermore, it streamlines deployment and lifecycle management through a wide array of technology partners, ensuring that your operational needs are met seamlessly. This integration of capabilities fosters an environment where innovation can thrive without compromise.

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.

CloudPlex serves as a comprehensive platform for enterprises to effectively transition and manage their applications in the cloud, catering to both technical requirements and business objectives. It oversees critical elements such as governance, security, orchestration, and cost management, ensuring a seamless experience. The platform supports a variety of application types, including cloud-native, containerized, and traditional legacy systems across all prominent public cloud providers in a cohesive manner. By automating the entire application provisioning and orchestration process, CloudPlex streamlines operations significantly. Furthermore, it addresses corporate financial concerns by offering a thorough workflow for estimating, reviewing, approving, and managing cloud expenses, alongside complete license management. This holistic approach empowers organizations to optimize their cloud usage while maintaining control over costs and compliance.

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

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

Tanzu Observability by Broadcom is an advanced observability solution designed to provide businesses with deep visibility into their cloud-native applications and infrastructure. The platform aggregates metrics, traces, and logs to deliver real-time insights into application performance and operational health. By leveraging AI and machine learning, Tanzu Observability automatically detects anomalies, accelerates root cause analysis, and offers predictive analytics to optimize system performance. With its scalable architecture, the platform supports large deployments, enabling businesses to manage and improve the performance of their digital ecosystems efficiently.

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.

Contrail Insights provides operators with the means to manage and visualize the utilization of infrastructure resources by workloads while facilitating capacity planning to maintain application performance. By leveraging Contrail Insights, operators in software-defined data centers gain access to a comprehensive set of tools that enhance visibility into both operational performance and infrastructure resources. In the context of extensive multicloud networks, it is essential for operations teams to have both real-time and historical insights into their infrastructure to guarantee service reliability and reduce operational expenses. Typically, cloud infrastructure is structured in multiple abstraction layers, and as automation in operations grows, performance monitoring becomes the primary activity, replacing manual interventions. Nevertheless, as the volume of telemetry data expands and abstraction layers are systematically analyzed to troubleshoot network infrastructure, the complexity of monitoring simultaneously escalates, creating new challenges for operators. This shift necessitates a more sophisticated approach to data analysis to manage the intricate ecosystem of cloud resources effectively.

Revolutionary cloud hosting designed for exceptional teams. Scalingo enables software developers to oversee the complete lifecycle of their applications, from initial prototypes to fully operational systems, without the need for sysadmin expertise. Simply push your code, and the platform will automatically recognize and package your application stack along with its dependencies. This ensures immediate deployment and availability, facilitating a seamless continuous delivery process without the complexities of DevOps. You can start with minimal resources and expand as needed, transitioning from a basic prototype to a robust production infrastructure instantly, with billing occurring by the minute. Whether you need to scale from 1 to 100 containers within seconds to manage traffic surges or accommodate steady growth, our end-to-end automated systems ensure hassle-free continuous deployment. Your application benefits from dedicated resources and isolation for each container, fortified with built-in security measures, as we handle all operating system and software stack security updates. This level of automation and security allows teams to focus on what truly matters: building innovative solutions.

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

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

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

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.

Cloudpaging is an innovative technology that allows for the virtualization of complex legacy and custom Windows applications, facilitating their packaging and deployment seamlessly across various contemporary Windows desktop environments, irrespective of their original operating systems. By abstracting applications from the underlying OS and breaking them into individual “pages,” this approach delivers those pages on demand into a secure container, thus isolating drivers and dependencies that often lead to conflicts while allowing the applications to function as if they were installed natively. This capability allows for the efficient deployment of applications on physical, virtual, and cloud desktops without the need for repackaging for different environments. As a result, Cloudpaging ensures a high compatibility rate, making it possible to package nearly any Windows application for modern operating systems, including those utilizing drivers, COM+ services, and more. Ultimately, this technology streamlines the application deployment process, reducing time and effort for IT teams while enhancing user experience.

SUSE CaaS Platform serves as a robust container management system tailored for enterprises, allowing IT and DevOps teams to efficiently deploy, oversee, and expand applications and services built on containers. Featuring Kubernetes for streamlined lifecycle management of contemporary applications, it also integrates additional technologies that enhance Kubernetes, simplifying the operational aspects of the platform. Consequently, businesses leveraging SUSE CaaS Platform can accelerate their application delivery processes and boost overall agility in their operations. This empowers organizations to stay competitive in a fast-paced market.

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

Manage and orchestrate applications seamlessly on a Kubernetes platform that is fully managed, utilizing a centralized SaaS approach for overseeing distributed applications through a unified interface and advanced observability features. Streamline operations by handling deployments uniformly across on-premises, cloud, and edge environments. Experience effortless management and scaling of applications across various Kubernetes clusters, whether at customer locations or within the F5 Distributed Cloud Regional Edge, all through a single Kubernetes-compatible API that simplifies multi-cluster oversight. You can deploy, deliver, and secure applications across different sites as if they were all part of one cohesive "virtual" location. Furthermore, ensure that distributed applications operate with consistent, production-grade Kubernetes, regardless of their deployment sites, which can range from private and public clouds to edge environments. Enhance security with a zero trust approach at the Kubernetes Gateway, extending ingress services backed by WAAP, service policy management, and comprehensive network and application firewall protections. This approach not only secures your applications but also fosters a more resilient and adaptable infrastructure.

Introducing K8 Studio, the premier cross-platform client IDE designed for streamlined management of Kubernetes clusters. Effortlessly deploy your applications across leading platforms like EKS, GKE, AKS, or even on your own bare metal infrastructure. Enjoy the convenience of connecting to your cluster through a user-friendly interface that offers a clear visual overview of nodes, pods, services, and other essential components. Instantly access logs, receive in-depth descriptions of elements, and utilize a bash terminal with just a click. K8 Studio enhances your Kubernetes workflow with its intuitive features. With a grid view for a detailed tabular representation of Kubernetes objects, users can easily navigate through various components. The sidebar allows for the quick selection of object types, ensuring a fully interactive experience that updates in real time. Users benefit from the ability to search and filter objects by namespace, as well as rearranging columns for customized viewing. Workloads, services, ingresses, and volumes are organized by both namespace and instance, facilitating efficient management. Additionally, K8 Studio enables users to visualize the connections between objects, allowing for a quick assessment of pod counts and current statuses. Dive into a more organized and efficient Kubernetes management experience with K8 Studio, where every feature is designed to optimize your workflow.

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

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

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.

OpenText™, Hybrid Cloud Management X, (HCMX), delivers total visibility and operational coherence across all of your clouds. Now you can optimize your cloud spend based upon actionable insights. You can also enable easy self service that includes compliance guardrails and orchestrate actions for lifecycle management. Spend limits, alerts and accurate allocations can help you prevent budget overruns and improve transparency of multicloud spending. Maintain a strong posture of security and compliance--with policies and approval flows--while enabling developers to self-service provisioning. Easy deployment of hybrid cloud across the IT ecosystem - build private clouds, consolidate access to public cloud - and gain on-demand agility through lifecycle automation.

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

Manage, oversee, control, and safeguard the applications, data, and IT resources essential for your business, spanning from edge to cloud. HPE Ezmeral propels digital transformation efforts by reallocating time and resources away from IT maintenance towards innovation. Update your applications, streamline your operations, and leverage data to transition from insights to impactful actions. Accelerate your time-to-value by implementing Kubernetes at scale, complete with integrated persistent data storage for modernizing applications, whether on bare metal, virtual machines, within your data center, on any cloud, or at the edge. By operationalizing the comprehensive process of constructing data pipelines, you can extract insights more rapidly. Introduce DevOps agility into the machine learning lifecycle while delivering a cohesive data fabric. Enhance efficiency and agility in IT operations through automation and cutting-edge artificial intelligence, all while ensuring robust security and control that mitigate risks and lower expenses. The HPE Ezmeral Container Platform offers a robust, enterprise-grade solution for deploying Kubernetes at scale, accommodating a diverse array of use cases and business needs. This comprehensive approach not only maximizes operational efficiency but also positions your organization for future growth and innovation.

Efficiently manage multicluster environments for Azure Kubernetes Service (AKS) that involve tasks such as workload distribution, north-south traffic load balancing for incoming requests to various clusters, and coordinated upgrades across different clusters. The fleet cluster offers a centralized management system for overseeing all your clusters on a large scale. A dedicated hub cluster manages the upgrades and the configuration of your Kubernetes clusters seamlessly. Through Kubernetes configuration propagation, you can apply policies and overrides to distribute resources across the fleet's member clusters effectively. The north-south load balancer regulates the movement of traffic among workloads situated in multiple member clusters within the fleet. You can group various Azure Kubernetes Service (AKS) clusters to streamline workflows involving Kubernetes configuration propagation and networking across multiple clusters. Furthermore, the fleet system necessitates a hub Kubernetes cluster to maintain configurations related to placement policies and multicluster networking, thereby enhancing operational efficiency and simplifying management tasks. This approach not only optimizes resource usage but also helps in maintaining consistency and reliability across all clusters involved.

Azure Red Hat OpenShift delivers fully managed, highly available OpenShift clusters on demand, with oversight and operation shared between Microsoft and Red Hat. At its foundation lies Kubernetes, which Red Hat OpenShift enhances with premium features, transforming it into a comprehensive platform as a service (PaaS) that significantly enriches the experiences of developers and operators alike. Users can benefit from resilient, fully managed public and private clusters, along with automated operations and seamless over-the-air updates for the platform. The web console also offers an improved user interface, enabling easier building, deploying, configuring, and visualizing of containerized applications and the associated cluster resources. This combination of features makes Azure Red Hat OpenShift an appealing choice for organizations looking to streamline their container management processes.

Establish governance policies that effectively manage cloud-native environments while preserving agility and speed. Assign budgets to distinct teams or projects, monitor expenses, regulate resource utilization, and provide immediate notifications for budget exceedances. Oversee the entire asset life cycle, from initiation and ownership to modification and eventual termination. Gain insights into the intricate consumption patterns of resources and the associated costs for decentralized development teams, all while encouraging developers to deliver value with every deployment. It’s essential to ensure that microservices, containers, pods, and Kubernetes clusters operate with optimal resource efficiency, maintaining reliability, availability, and performance standards. Replex facilitates the right-sizing of Kubernetes nodes and cloud instances by leveraging both historical and real-time usage data, serving as a comprehensive repository for all critical performance metrics to enhance decision-making processes. This comprehensive approach ensures that teams can stay on top of their cloud expenses while still fostering innovation and efficiency.

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

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

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.

No expertise required! Our Kubernetes Management platform allows you to create clusters in minutes. Every feature of our platform has been designed to automate DevOps. We ensure that every component is tightly interconnected by building everything from scratch. This allows us to achieve the best performance and reduce complexity. Syself Autopilot supports declarative configurations. This is an approach where configuration files are used to define the desired states of your infrastructure and application. Instead of issuing commands that change the current state, the system will automatically make the necessary adjustments in order to achieve the desired state.

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

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

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

Nubix is an innovative container platform designed to simplify the development and deployment of Internet of Things (IoT) and edge applications. It is capable of operating on the smallest microprocessors, allowing developers to seamlessly process data directly on the sensor devices that generate it. Unlike traditional methods that necessitate complete firmware replacements—which can sometimes lead to devices becoming inoperable—Nubix mitigates this risk by utilizing tiny containers whose code operates independently from the underlying operating system, thereby enhancing release speed and reducing potential failures. Many existing edge architectures fail to provide true edge computing, compelling developers to send data to the cloud or intermediate gateways for processing. In contrast, Nubix's edge-native architecture empowers processing to occur directly on the devices where data originates, thus eliminating the latency and inefficiencies associated with external networking and remote data handling. Moreover, Nubix is founded on open source technologies, ensuring that users are not confined to proprietary languages and libraries, which enhances flexibility and long-term viability. This commitment to openness also fosters a community-driven approach to innovation, making it a compelling choice for developers seeking to advance their IoT initiatives.

Kata Containers is software licensed under Apache 2 that features two primary components: the Kata agent and the Kata Containerd shim v2 runtime. Additionally, it includes a Linux kernel along with versions of QEMU, Cloud Hypervisor, and Firecracker hypervisors. Combining the speed and efficiency of containers with the enhanced security benefits of virtual machines, Kata Containers seamlessly integrates with container management systems, including widely used orchestration platforms like Docker and Kubernetes (k8s). Currently, it is designed to support Linux for both host and guest environments. For hosts, detailed installation guides are available for various popular distributions. Furthermore, the OSBuilder tool offers ready-to-use support for Clear Linux, Fedora, and CentOS 7 rootfs images, while also allowing users to create custom guest images tailored to their needs. This flexibility makes Kata Containers an appealing choice for developers seeking the best of both worlds in container and virtualization technology.

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