Alternatives to IBM Fusion

JS7 JobScheduler, an Open Source Workload Automation System, is designed for performance and resilience. JS7 implements state-of-the-art security standards. It offers unlimited performance for parallel executions of jobs and workflows. JS7 provides cross-platform job execution and managed file transfer. It supports complex dependencies without the need for coding. The JS7 REST-API allows automation of inventory management and job control. JS7 can operate thousands of Agents across any platform in parallel. Platforms - Cloud scheduling for Docker®, OpenShift®, Kubernetes® etc. - True multi-platform scheduling on premises, for Windows®, Linux®, AIX®, Solaris®, macOS® etc. - Hybrid cloud and on-premises use User Interface - Modern GUI with no-code approach for inventory management, monitoring, and control using web browsers - Near-real-time information provides immediate visibility to status changes, log outputs of jobs and workflows. - Multi-client functionality, role-based access management - OIDC authentication and LDAP integration High Availability - Redundancy & Resilience based on asynchronous design and autonomous Agents - Clustering of all JS7 Products, automatic fail-over and manual switch-over

Red Hat® Decision Manager serves as a robust platform for creating containerized microservices and applications designed to automate business decision-making processes. This comprehensive solution features capabilities for managing business rules, processing complex events, and optimizing resources. Organizations have the ability to seamlessly integrate advanced decision-making logic into their line-of-business applications, enabling them to swiftly modify core business rules in response to evolving market conditions. The seventh iteration of Red Hat® Decision Manager stands out as a powerful, scalable open-source business rules management system that harnesses both business resource optimization and complex event processing (CEP) technologies. It empowers organizations to effectively capture intricate business logic while facilitating the development of applications that streamline business decisions. Additionally, Decision Manager 7 is fully compatible with the Red Hat Application Services suite and integrates seamlessly with Red Hat OpenShift® for deployment across hybrid cloud environments, ensuring that businesses can leverage its capabilities no matter where their infrastructure is hosted. This flexibility further enhances its appeal for modern enterprises seeking to optimize their operational efficiency.

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.

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.

Red Hat OpenShift on IBM Cloud offers developers a rapid and secure solution for containerizing and deploying enterprise workloads within Kubernetes clusters. With IBM overseeing the management of the OpenShift Container Platform (OCP), you can dedicate more of your attention to essential tasks. The platform features automated provisioning and configuration of compute, network, and storage infrastructure, along with the installation and configuration of OpenShift itself. It also ensures automatic scaling, backup, and recovery processes for OpenShift configurations, components, and worker nodes. Furthermore, the system supports automatic upgrades for all essential components, including the operating system and cluster services, while also providing performance tuning and enhanced security measures. Built-in security features encompass image signing, enforcement of image deployment, hardware trust, patch management, and automatic compliance with standards such as HIPAA, PCI, SOC2, and ISO. Overall, this comprehensive solution streamlines operations and enhances security, allowing developers to innovate with confidence.

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.

Red Hat OpenShift Dev Spaces, built upon the open-source Eclipse Che project, leverages Kubernetes and container technology to offer a consistent, secure, and zero-configuration development environment for all members of a development or IT team. The platform provides a user experience that is as quick and intuitive as using a local integrated development environment. Included with every OpenShift subscription and accessible through the Operator Hub, OpenShift Dev Spaces equips development teams with a more efficient and dependable foundation for their work, while also granting operations teams centralized control and assurance. Start coding now with the complimentary Developer Sandbox for Red Hat OpenShift, which allows users to explore OpenShift Dev Spaces at no charge. With the applications and their development environments containerized and operating on OpenShift, developers can concentrate solely on coding without the need to delve into Kubernetes intricacies. Furthermore, administrators can effortlessly manage and oversee workspaces as they would with any other Kubernetes resource, ensuring a streamlined operation. This combination of user-friendly tools and robust management capabilities makes OpenShift Dev Spaces an excellent choice for modern development teams.

Red Hat® OpenShift® Streams for Apache Kafka is a cloud-managed service designed to enhance the developer experience for creating, deploying, and scaling cloud-native applications, as well as for modernizing legacy systems. This service simplifies the processes of creating, discovering, and connecting to real-time data streams, regardless of their deployment location. Streams play a crucial role in the development of event-driven applications and data analytics solutions. By enabling seamless operations across distributed microservices and handling large data transfer volumes with ease, it allows teams to leverage their strengths, accelerate their time to value, and reduce operational expenses. Additionally, OpenShift Streams for Apache Kafka features a robust Kafka ecosystem and is part of a broader suite of cloud services within the Red Hat OpenShift product family, empowering users to develop a diverse array of data-driven applications. With its powerful capabilities, this service ultimately supports organizations in navigating the complexities of modern software development.

Red Hat® OpenShift® Data Foundation, formerly known as Red Hat OpenShift Container Storage, is a software-defined storage solution tailored for containers. Designed as the foundational data and storage services platform for Red Hat OpenShift, it enables teams to swiftly and effectively develop and deploy applications across various cloud environments. Even developers with minimal storage knowledge can easily provision storage directly through Red Hat OpenShift without needing to navigate away from their primary interface. Capable of formatting data in files, blocks, or objects, it caters to a diverse range of workloads generated by enterprise Kubernetes users. Additionally, our specialized technical team is available to collaborate with you to devise a strategy that aligns with your storage requirements for both hybrid and multicloud container deployments, ensuring that your infrastructure is optimized for performance and scalability.

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

Red Hat Advanced Cluster Management for Kubernetes allows users to oversee clusters and applications through a centralized interface, complete with integrated security policies. By enhancing the capabilities of Red Hat OpenShift, it facilitates the deployment of applications, the management of multiple clusters, and the implementation of policies across numerous clusters at scale. This solution guarantees compliance, tracks usage, and maintains uniformity across deployments. Included with Red Hat OpenShift Platform Plus, it provides an extensive array of powerful tools designed to secure, protect, and manage applications effectively. Users can operate from any environment where Red Hat OpenShift is available and can manage any Kubernetes cluster within their ecosystem. The self-service provisioning feature accelerates application development pipelines, enabling swift deployment of both legacy and cloud-native applications across various distributed clusters. Additionally, self-service cluster deployment empowers IT departments by automating the application delivery process, allowing them to focus on higher-level strategic initiatives. As a result, organizations can achieve greater efficiency and agility in their IT operations.

Cloud-native technology has emerged as a crucial element in contemporary cloud infrastructure design due to its lightweight nature and remarkable portability. It also enhances the efficiency of development and operations (DevOps), enabling rapid service deployment and fostering business innovation. To expedite the shift toward cloud-native environments while keeping costs low, QCT has validated the performance and service quality of the Red Hat® OpenShift Container Platform and Kubernetes Platform. The QCT QxStack with Cloud-Native Platform is a robust Platform as a Service (PaaS) offering that leverages the Red Hat® OpenShift® Container Platform, augmented by Intel Enhanced Platform Awareness (EPA) technology. This solution, optimized for production-ready performance, incorporates a Hyper Converged Infrastructure (HCI) architecture that enables the coexistence of virtual machines and containers, facilitating resource sharing. Moreover, the solution delivers outstanding network performance and reliability, ensuring optimal capital expenditure (CAPEX) and operational expenditure (OPEX) throughout all phases of new technology deployment, which is essential for businesses looking to remain competitive in a rapidly evolving market.

Flannel serves as a specialized virtual networking layer tailored for containers. In the context of the OpenShift Container Platform, it can be utilized for container networking as an alternative to the standard software-defined networking (SDN) components. This approach is particularly advantageous when deploying OpenShift within a cloud environment that also employs SDN solutions, like OpenStack, allowing for the avoidance of double packet encapsulation across both systems. Each flanneld agent transmits this information to a centralized etcd store, enabling other agents on different hosts to effectively route packets to various containers within the flannel network. Additionally, the accompanying diagram showcases the architecture and the data flow involved in facilitating communication between containers over a flannel network. This setup enhances overall network efficiency and simplifies container management in complex environments.

IBM Cloud for VMware Solutions offers a streamlined approach for organizations to harness the vast advantages of cloud technology. By enabling the migration of VMware workloads to the IBM Cloud, businesses can leverage their existing tools, technologies, and expertise from their local environments. The incorporation of Red Hat OpenShift enhances integration and automation, promoting faster innovation through various services such as AI and analytics. This solution provides a secure and compliant automated deployment architecture that has been validated for financial institutions. With over 15 years of experience, IBM is among the largest operators of VMware workloads globally. The platform ensures optimal infrastructure and performance, featuring more than 100 bare metal configurations. It holds the highest data security certification in the industry, allowing users to maintain control with the “keep your own key” (KYOK) feature. Organizations can extend and migrate their virtual machines (VMs) to the cloud, facilitating data center consolidation, increasing capacity to meet resource demands, or modernizing outdated infrastructure with cutting-edge cloud innovations. This comprehensive solution not only enhances efficiency but also fosters a more agile IT environment.

Syndesis serves as an open-source integration platform capable of linking to any service you might utilize. It comes equipped with a comprehensive array of connectors right from the start, and should you require a specific connector that isn’t available, a skilled developer can swiftly create one tailored to your needs. The user-friendly Syndesis interface empowers virtually anyone to design integrations, ranging from the most basic to highly intricate setups. Additionally, the Syndesis dashboard provides insights into the performance of your integrations, allowing you to monitor their status effectively. You have the flexibility to initiate or halt your integrations whenever you choose, giving you full control over your data management. With Syndesis, you won’t be restricted to a single platform; instead, you can explore various options. Whether you prefer to deploy it in the cloud or on-premise using OpenShift, Syndesis accommodates your preferences seamlessly. This versatility ensures that you can adapt your integration solutions to meet your specific requirements.

Distributed AI represents a computing approach that eliminates the necessity of transferring large data sets, enabling data analysis directly at its origin. Developed by IBM Research, the Distributed AI APIs consist of a suite of RESTful web services equipped with data and AI algorithms tailored for AI applications in hybrid cloud, edge, and distributed computing scenarios. Each API within the Distributed AI framework tackles the unique challenges associated with deploying AI technologies in such environments. Notably, these APIs do not concentrate on fundamental aspects of establishing and implementing AI workflows, such as model training or serving. Instead, developers can utilize their preferred open-source libraries like TensorFlow or PyTorch for these tasks. Afterward, you can encapsulate your application, which includes the entire AI pipeline, into containers for deployment at various distributed sites. Additionally, leveraging container orchestration tools like Kubernetes or OpenShift can greatly enhance the automation of the deployment process, ensuring efficiency and scalability in managing distributed AI applications. This innovative approach ultimately streamlines the integration of AI into diverse infrastructures, fostering smarter solutions.

Create cloud-native applications designed to streamline business decisions and processes. Red Hat® Process Automation Manager serves as a robust platform for crafting containerized microservices and applications aimed at automating these business functions. It encompasses various technologies, including business process management (BPM), business rules management (BRM), as well as business resource optimization and complex event processing (CEP). Additionally, it features a user experience platform that facilitates the development of interactive user interfaces for process and decision services with minimal coding efforts. This platform equips business users with essential tools for modeling flows and policies, utilizing Business Process Model and Notation (BPMN) models, Decision Model and Notation (DMN) models, and specialized rule languages tailored to specific domains. With a focus on cloud development, users can seamlessly deploy their finished models as containerized microservices on Red Hat OpenShift. Furthermore, it leverages the full power of Drools, a widely recognized open-source rules engine, ensuring flexible and effective automation solutions. Overall, this approach enhances operational efficiency and fosters innovation across various business sectors.

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

IBM Cloud Pak® for Applications facilitates the modernization of current applications, integrates enhanced security features, and enables the creation of new applications that drive digital transformation. This platform provides cloud-native development tools that swiftly generate value, coupled with adaptable licensing options designed to meet your unique requirements. Whether deployed on public clouds, on-premises, or within a private cloud, you can operate your applications in the environment that best suits your business needs. We offer resources to align them with Red Hat® OpenShift® on IBM Cloud®, a cohesive Kubernetes platform founded on open-source principles, ensuring support regardless of their deployment location. Transitioning to the cloud does not necessitate starting from scratch; rather, it allows for the modernization of legacy applications, enhancing their flexibility and scalability. Additionally, you will receive an assessment of your applications, complete with prioritized recommendations for modernization, guiding you on the path to effective transformation. By leveraging these insights, you can create a more agile and responsive IT infrastructure, ultimately driving greater business success.

IBM® z/OS® Cloud Broker™ seamlessly incorporates z/OS services and resources into your private cloud environment, delivering a contemporary cloud-native experience. This pioneering software product opens up access to z/OS services within private cloud platforms, like Red Hat® OpenShift®, making them available for the wider development community. By doing so, it empowers organizations to safeguard and enhance their IBM Z® investments, effectively integrating them into their hybrid cloud frameworks and strategies. Developers and businesses can swiftly build, modernize, deploy, and manage applications while ensuring they remain within the protective confines of their firewall. The platform offers self-service access to z/OS resources without the need for specialized expertise, promoting innovation and value creation for organizations. Moreover, it allows for the integration of existing IBM Z hardware and middleware resources, thereby securing the investments in infrastructure that operate within data centers along with the expertise of the professionals who maintain them. This integration not only streamlines operations but also enhances overall efficiency and productivity across the organization.

IBM z/VM is a sophisticated operating system that features a hypervisor and virtualization technology, designed to effectively manage guest servers like Linux, z/OS, and z/TPF virtual machines, as well as Red Hat OpenShift on IBM Z and LinuxONE systems. This platform is capable of operating hundreds or even thousands of guest servers on a single IBM Z or LinuxONE server with remarkable efficiency and adaptability. It accommodates various machine images and architectures, which streamlines the migration process, eases application transitions, and enables the consolidation of multiple systems onto one server. By excelling in resource sharing among virtual machines, IBM z/VM provides outstanding scalability, security, and efficiency, resulting in significant cost reductions and creating a solid foundation for cognitive computing. Its implementation supports on-premises cloud computing within a hybrid cloud framework, allowing organizations to efficiently scale and manage thousands of Linux and container workloads. Moreover, it aids in maintaining continuous availability through IBM's robust resiliency offerings, ensuring that businesses can rely on their infrastructure without interruption. This versatility makes IBM z/VM a critical asset for modern enterprises looking to optimize their IT environments.

Combining "app" (short for application) and "Ujo" (the Esperanto term for "container"), APPUiO.ch represents Switzerland's premier container platform. Utilizing technologies like OpenShift or Rancher, we provide this platform as a managed service across various infrastructures. Recognized as the foremost Kubernetes-based container solution in Switzerland, APPUiO is designed for the efficient design, development, and management of applications. It is built on dependable open-source principles, including Docker and Kubernetes, thereby supporting the DevOps methodology. Automation and self-service capabilities significantly speed up development, deployment, and operational workflows. Additionally, APPUiO fosters enhanced collaboration between software developers and business organizations, ensuring not only a seamless platform experience but also immediate access to experts for support, training, tailored modifications, and application management. The platform is offered in public, managed, or self-managed formats, catering to various user needs and preferences. By providing these versatile options, APPUiO ensures that users can choose the best fit for their operational requirements.

IBM Cloud® Schematics streamlines automation by utilizing declarative Terraform templates to achieve the intended cloud infrastructure setup. By seamlessly integrating with Red Hat® Ansible, it enhances configuration, management, and provisioning for both software and applications while also connecting with various IBM Cloud Services. Through Terraform-as-a-Service, DevOps teams can leverage a high-level configuration language to effectively model their desired resources in the cloud, thereby facilitating Infrastructure as Code (IaC). Effortlessly install software packages and application code on your infrastructure, allowing your team to build, deploy, and refine their automation processes. This approach significantly enhances the DevOps lifecycle, covering everything from planning and builds to software testing and application monitoring. Additionally, by utilizing Satellite alongside Schematics, organizations can automate the establishment of Satellite locations and Red Hat OpenShift® on IBM Cloud, streamlining operations and improving efficiency across the board. The combination of these tools fosters a more agile and responsive cloud infrastructure management strategy.

Accelerate your time-to-market with the innovative low-code SmartScreens platform. Building small, focused Micro Server Apps (MSAs) to tackle specific process automation challenges has never been simpler, all while seamlessly integrating with your existing data and applications. These MSAs can operate universally across various device types without the need for unique coding for each one. RapidBIZ brings together all these functionalities in a cohesive development and management environment that is compatible with Docker containers, Kubernetes, and OpenShift. Central to the productivity offered by RapidBIZ is the principle of reuse, providing developers with straightforward access to robust pre-built components and features, as well as leveraging legacy code and data, including those from IBM i, for crafting cloud-based applications. Transform tedious, time-intensive development and management tasks into a user-friendly point-and-click experience, enhanced by intuitive wizards that automatically generate code for more intricate functionalities. This remarkable approach not only streamlines the development process but also empowers teams to innovate faster and more efficiently than ever before.

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

IBM Wazi for Dev Spaces delivers a contemporary platform for mainframe software developers engaged with z/OS applications hosted in the cloud. Leveraging the capabilities of open source projects like Zowe™ and Red Hat OpenShift Dev Spaces, this solution simplifies the onboarding process, equipping mainframe developers with essential tools. Utilizing container technology, IBM Wazi for Dev Spaces ensures that the required resources are readily available for developers. It features a one-click developer workspace that removes the complexities of local environment setup. Furthermore, the devfile registry within IBM Wazi for Dev Spaces acts as a web service, offering a curated list of stacks to facilitate the creation of pre-configured workspaces. This stack list is integral to the quick add feature found in the CodeReady Dashboard, enhancing user experience. Each devfile stack comprises definitions that outline the specifications for an application developer workspace, ensuring a seamless development experience tailored to individual needs. This innovative approach not only streamlines workflows but also fosters greater collaboration among developers in a cloud-native environment.

IOMETE is a sovereign data lakehouse platform built to support modern data analytics and AI-driven workloads at enterprise scale. The platform allows organizations to store, manage, and process massive datasets within infrastructure they fully control. Unlike traditional cloud-only solutions, IOMETE can be deployed on-premises, in private clouds, public clouds, or hybrid environments. This flexible architecture helps organizations maintain full ownership of their data while avoiding vendor lock-in. The platform integrates data lakehouse capabilities with tools such as Spark processing, SQL query editors, Jupyter notebooks, and orchestration engines. These components allow data engineers, analysts, and data scientists to build pipelines, analyze datasets, and develop machine learning models in one environment. IOMETE also provides a centralized data catalog to help teams discover, manage, and understand their data assets. Advanced security controls allow organizations to manage access permissions across users, teams, and datasets with detailed governance rules. By reducing reliance on SaaS-based infrastructure, the platform can also help organizations optimize storage and compute costs. Overall, IOMETE delivers a flexible and secure data platform built specifically for the growing data demands of the AI era.

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.

The IBM Elastic Storage System (ESS) represents an advanced approach to software-defined storage, streamlining the deployment of fast and scalable storage solutions tailored for AI and big data applications. Utilizing cutting-edge NVMe storage technology that boasts low latency and impressive performance, alongside the expansive 8YB global file system and comprehensive data services offered by IBM Spectrum Scale, both the ESS 3200 and ESS 5000 nodes are capable of expanding to YB configurations within a unified global storage system that spans from edge to core data centers and extends to the public cloud. By integrating storage needs and removing silos across various platforms, such as Kubernetes and Red Hat OpenShift, IBM ESS not only enhances efficiency but also lowers acquisition costs and simplifies the management of storage resources. This system is designed to support a variety of demanding workloads, ensuring that your organization maintains high performance across all operations. Furthermore, the flexibility and scalability of the IBM ESS make it an ideal choice for businesses looking to adapt to evolving data storage requirements.

JHipster serves as a comprehensive development platform designed for the rapid creation, development, and deployment of contemporary web applications and microservice architectures. It accommodates a variety of frontend technologies, such as Angular, React, and Vue, and also extends support to mobile applications using Ionic and React Native. On the backend, JHipster offers compatibility with Spring Boot (utilizing either Java or Kotlin), Micronaut, Quarkus, Node.js, and .NET frameworks. When it comes to deployment, the platform adheres to cloud-native principles via Docker and Kubernetes, providing deployment options for various environments including AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. The primary objective is to produce a comprehensive and modern web application or microservice architecture equipped with a high-performance and resilient server-side stack, showcasing excellent test coverage. The user interface is designed to be sleek, modern, and mobile-first, utilizing Angular, React, or Vue along with Bootstrap for styling. Moreover, the platform incorporates a powerful workflow for application building through tools like Webpack and Maven or Gradle, ensuring a resilient microservice architecture that remains focused on cloud-native methodologies. This holistic approach ensures that developers have all the resources they need to create scalable and efficient applications.

Red Hat OpenShift Cloud Functions (OCF) is a Function as a Service (FaaS) solution that operates on OpenShift and is derived from the Knative project within the Kubernetes ecosystem. This platform empowers developers to execute their code without needing to delve into the complexities of the underlying infrastructure. With the increasing demand for rapid access to services, deploying backend services, platforms, or applications can often be a lengthy and cumbersome process. This flexibility allows developers to work with any programming language or framework, enabling them to swiftly create business value and enhance services through FaaS, which allows scaling of small custom code units while leveraging external third-party or backend services. Additionally, serverless architecture offers an event-driven approach to building distributed applications that can automatically scale based on demand, further streamlining the development process. Ultimately, OCF fosters innovation by allowing teams to focus on building features rather than managing servers.

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.

Red Hat® Quay is a container image registry that facilitates the storage, creation, distribution, and deployment of containers. It enhances the security of your image repositories through automation, authentication, and authorization mechanisms. Quay can be utilized within OpenShift or as an independent solution. You can manage access to the registry using a variety of identity and authentication providers, which also allows for team and organization mapping. A detailed permissions system aligns with your organizational hierarchy, ensuring appropriate access levels. Transport layer security encryption ensures secure communication between Quay.io and your servers automatically. Additionally, integrate vulnerability detection tools, such as Clair, to perform automatic scans of your container images, and receive notifications regarding any identified vulnerabilities. This setup helps optimize your continuous integration and continuous delivery (CI/CD) pipeline by utilizing build triggers, git hooks, and robot accounts. For further transparency, you can audit your CI pipeline by monitoring both API and user interface actions, thereby maintaining oversight of operations. In this way, Quay not only secures your container images but also streamlines your development processes.

Facilitate reliable data sharing and collaborative workflows across boundaries with the help of distributed ledger technology and IBM Blockchain. Achieving consensus among traditional partners and long-standing rivals on the necessary bold measures for blockchain innovation is a significant challenge. Therefore, the last thing that should hinder progress is technology that poses obstacles. This is precisely why technical pioneers rely on the IBM Blockchain Platform, recognized as the premier Hyperledger Fabric platform, to design, manage, govern, and expand blockchain solutions in any computing environment through Red Hat® OpenShift®. To integrate blockchain seamlessly into your digital transformation journey, consider IBM Blockchain Services for assistance in exploring, conceptualizing, implementing, and enhancing your blockchain solution. Additionally, engaging with the IBM Blockchain Ecosystem can help you uncover new business prospects alongside other innovators through the IBM Blockchain Partner Program. By developing innovative service models, you can achieve enhanced security and scalability, leading to quicker and more cost-effective settlements, ultimately positioning your organization at the forefront of blockchain advancements.

All public and private environments can be managed from one platform with a single CI/CD plug-in that connects to ALL automation toolchains. This plugin supports Jenkins, Kubernetes and Terraform as well as Cloud Formation, Azure ARm, Cloud Formation, Cloud Formation, and many other automation toolchains. No installation, no downloading... and free on us for the first thirty days. Integration with infrastructure orchestration domains such as AWS Cloud formation and Azure ARM, Ansible, Terraform, and Terraform. Service Composition Domain-Specific Language - This simplifies the relationship between services and handles cascading workflows. Shared resources, distributed life-cycle management, and more. Orchestration of cloud native Kubernetes service across multiple clusters using OpenShift and KubeSpray. A blueprint is available to automate the configuration and setup of clusters. Integration with Jenkins and other CI/CD platforms. This integration provides a 'one stop-shop' for all orchestration domains that can be integrated to your CI/CD pipeline.

Open core technology facilitates the integration of hybrid and multi-cloud environments. Built on the open-source initiative CDAP, Data Fusion guarantees portability of data pipelines for its users. The extensive compatibility of CDAP with both on-premises and public cloud services enables Cloud Data Fusion users to eliminate data silos and access previously unreachable insights. Additionally, its seamless integration with Google’s top-tier big data tools enhances the user experience. By leveraging Google Cloud, Data Fusion not only streamlines data security but also ensures that data is readily available for thorough analysis. Whether you are constructing a data lake utilizing Cloud Storage and Dataproc, transferring data into BigQuery for robust data warehousing, or transforming data for placement into a relational database like Cloud Spanner, the integration capabilities of Cloud Data Fusion promote swift and efficient development while allowing for rapid iteration. This comprehensive approach ultimately empowers businesses to derive greater value from their data assets.

KodeKloud, a community that offers online training programs and hands-on courses on various Cloud and DevOps technologies, is free to join. KodeKloud covers many technologies, including OpenShift and Kubernetes. Online courses are offered by the community, which include a certificate upon completion, as well as hands-on labs, playgrounds and an online community for students to connect with each other. KodeKloud offers an online forum and a Slack channel. Both are great places to meet other people interested in a DevOps job. Both online groups are populated mainly by KodeKloud students. You can also find a variety of people, from beginners to experts. You can create a KodeKloud Account for absolutely nothing. All free courses and hands-on labs are available to you. Free members can also try out all courses. KodeKloud also offers three paid memberships.

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

Huawei's FusionCube hyper-converged infrastructure unifies compute, storage, networking, virtualization, and management into a seamless solution designed for exceptional performance, minimal latency, and swift deployment. The integrated distributed storage engines within FusionCube facilitate a profound convergence of computing and storage capabilities. These proprietary engines from Huawei effectively eliminate performance bottlenecks, providing users with the ability to expand capacity flexibly. FusionCube is compatible with leading industry databases and virtualization platforms. Additionally, the Huawei FusionCube 1000 HyperVisor&Data functions as a data storage infrastructure built on a converged architecture. It comes pre-integrated with a distributed storage engine, virtualization software, and cloud management tools, enabling on-demand resource allocation and straightforward linear expansion. This comprehensive approach ensures that organizations can scale their resources efficiently as their needs evolve.

Nutanix Cloud Platform is an enterprise-grade hybrid cloud solution built to run applications and manage data anywhere. It brings together hyperconverged infrastructure, automation, and cloud services into a single, cohesive platform. Organizations use Nutanix to simplify infrastructure management across on-premises, edge, and public cloud environments. Its software-defined architecture enables faster application development and flexible, server-based scaling. Nutanix provides robust data services that improve data mobility, protection, and security. Consistent operations across environments ensure predictable performance and reduced operational risk. The platform supports modern workloads including virtual machines, containers, and databases. Integrated automation and intelligent operations help teams optimize performance at scale. Nutanix Cloud Platform also enhances cost efficiency through governance, metering, and visibility. Overall, it empowers IT teams to modernize infrastructure while maintaining control and agility.

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

StoneFly delivers robust, flexible, and reliable IT infrastructure solutions that ensure seamless availability. Paired with our innovative and patented StoneFusion operating system, we are equipped to handle your data-centric applications and processes anytime and anywhere. You can easily set up backup, replication, disaster recovery, and scale out storage options for block, file, and object formats in both private and public cloud environments. In addition, we provide comprehensive support for virtual and container hosting, among other services. StoneFly also specializes in cloud data migration for various data types, including emails, archives, documents, SharePoint, and both physical and virtual storage solutions. Our all-in-one backup and disaster recovery systems can operate as either a standalone appliance or a cloud-based solution. Furthermore, our hyperconverged options enable the restoration of physical machines as virtual machines directly on the StoneFly disaster recovery appliance, facilitating rapid recovery in critical situations. With an emphasis on efficiency and reliability, StoneFly is committed to meeting the evolving demands of modern IT infrastructure.

A scalable, seamless, and simplified cloud foundation enhances business agility and ensures operational consistency. By leveraging a turnkey integrated software-defined data center infrastructure, organizations can expedite business outcomes and enhance flexibility. The agile, automated, and readily available hybrid cloud infrastructure guarantees consistent operations while reducing the total cost of ownership. Businesses can run applications in any environment and easily adjust to meet increasing data demands. Advanced automation facilitates the rapid deployment of hybrid cloud solutions, alleviating the burden on IT teams and boosting efficiency. This includes automated management of the day 0-2 lifecycle for both software and hardware. An integrated SDDC solution, powered by VMware Cloud Foundation, supports all virtualized and containerized applications, ensuring a uniform infrastructure across data centers and public clouds. This true hybrid cloud infrastructure allows applications to run anywhere without the need for rearchitecting, offering the flexibility of deploying workloads on either hyperconverged infrastructure or SAN systems. Ultimately, this creates a robust ecosystem that empowers businesses to innovate and respond to market changes more effectively.

The VersaStack solution, a collaborative effort between IBM and Cisco, integrates a wide array of converged infrastructure and software-defined technologies aimed at accelerating digital transformation. This innovative platform enhances the simplicity, efficiency, and adaptability of deployments in cloud computing, big data, and enterprise applications. It facilitates autonomous operations within data centers while significantly reducing capital expenditures, operating costs, and total cost of ownership (TCO). Resources can be dynamically allocated from a pool of compute, network, and storage options, whether on-premises or within the cloud. By supporting hybrid environments and IT as a Service (ITaaS), VersaStack enables seamless deployments across on-premises, private, and public cloud infrastructures. With its robust IT automation capabilities, the solution is designed for versatile use in public, private, and hybrid cloud settings. It addresses varying capacity requirements through a range of all-flash and hybrid data storage solutions, optimizes existing storage systems, and accommodates block, file, and object data. This comprehensive approach ensures that organizations can effectively manage and scale their data infrastructure to meet evolving business demands.

Efficiently manage your workforce and fill open shifts through an online platform in real time, which can help minimize both overtime and the expenses associated with temporary labor. Save valuable time and resources that would otherwise be consumed by managerial scheduling tasks. By enhancing your competitive edge, you can empower your top talent to assist in filling vacancies and retaining skilled employees. Benefit from streamlined scheduling across multiple locations, allowing for the borrowing and sharing of staff as needed. Make informed decisions quickly with immediate access to information regarding locations, shifts, employee availability, risk factors, and budgetary implications. The system is user-friendly and easy to implement, fostering higher adoption rates and maximizing your return on investment while improving overall operational efficiency. Ultimately, this approach not only supports better scheduling but also enhances team cohesion and satisfaction.