Alternatives to azk

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.

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.

Bacula Enterprise offers a single platform that provides cloud backup and recovery software for the Modern Data Center. Bacula Enterprise backup & recovery software is ideal for medium and large businesses. It offers unique innovation, modern architecture and business value benefits, as well as low cost of ownership. Bacula Enterprise corporate backup software solution uses unique technologies that increase the interoperability of Bacula Enterprise into many IT environments, such as managed service providers, software vendors, cloud providers, enterprise data centers, and cloud providers. Bacula Enterprise is used by thousands of organizations around the world in mission-critical environments such as NASA, Texas A&M University and Unicredit. Bacula offers more security features than other vendors and advanced hybrid Cloud connectivity to Amazon S3, Google, Oracle, and many others.

Manage your applications seamlessly across various clouds and containers with Apache Brooklyn. This software facilitates the administration of cloud applications by allowing you to create blueprints that represent your application, which are saved as text files in version control. It automatically configures and integrates components across numerous machines, supporting over 20 public clouds, as well as private clouds or bare metal servers, including Docker containers. Additionally, it enables you to monitor essential application metrics, scale resources according to demand, and restart or replace any failed components. You can easily view and adjust settings through the web console or streamline operations with the REST API for greater automation and efficiency. This capability makes Apache Brooklyn a versatile tool for modern application management.

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.

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.

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.

Centurion is a deployment tool specifically designed for Docker, facilitating the retrieval of containers from a Docker registry to deploy them across a network of hosts while ensuring the appropriate environment variables, host volume mappings, and port configurations are in place. It inherently supports rolling deployments, simplifying the process of delivering applications to Docker servers within our production infrastructure. The tool operates through a two-stage deployment framework, where the initial build process pushes a container to the registry, followed by Centurion transferring the container from the registry to the Docker fleet. Integration with the registry is managed via the Docker command line tools, allowing compatibility with any existing solutions they support through conventional registry methods. For those unfamiliar with registries, it is advisable to familiarize yourself with their functionality prior to deploying with Centurion. The development of this tool is conducted openly, welcoming community feedback through issues and pull requests, and is actively maintained by a dedicated team at New Relic. Additionally, this collaborative approach ensures continuous improvement and responsiveness to user needs.

Mirantis Kubernetes Engine (formerly Docker Enterprise) gives you the power to build, run, and scale cloud native applications—the way that works for you. Increase developer efficiency and release frequency while reducing cost. Deploy Kubernetes and Swarm clusters out of the box and manage them via API, CLI, or web interface. Kubernetes, Swarm, or both Different apps—and different teams—have different container orchestration needs. Use Kubernetes, Swarm, or both depending on your specific requirements. Simplified cluster management Get up and running right out of the box—then manage clusters easily and apply updates with zero downtime using a simple web UI, CLI, or API. Integrated role-based access control (RBAC) Fine-grained security access control across your platform ensures effective separation of duties, and helps drive a security strategy built on the principle of least privilege. Identity management Easily integrate with your existing identity management solution and enable two-factor authentication to provide peace of mind that only authorized users are accessing your platform. Mirantis Kubernetes Engine works with Mirantis Container Runtime and Mirantis Secure Registry to provide security compliance.

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.

Joyent offers a Single Tenant Public Cloud that combines the robust security, cost efficiency, and management capabilities of a private cloud. This service is entirely managed by Joyent, ensuring that users have complete control over their private cloud environment, along with comprehensive installation, onboarding, and support services. Customers can opt for either open-source or commercial assistance for their on-premises, user-managed private clouds. The infrastructure is designed to efficiently deliver virtual machines, containers, and bare metal resources, while being capable of handling workloads at an exabyte scale. Joyent’s engineering team provides extensive support for contemporary application frameworks, including microservices, APIs, development tools, and container-native DevOps practices. Triton is a hybrid, modern, and open solution specifically optimized to host the most substantial cloud-native applications. With Joyent, users can expect not only cutting-edge technology but also a partnership that supports their long-term growth and innovation.

Stakkr serves as a tool for Docker recompose, simplifying the creation and management of service stacks, particularly useful in web development scenarios. With its configuration file, users can set up necessary services, allowing Stakkr to automatically link and initiate everything. Operating solely through the command line interface, it stands as a viable alternative to Vagrant. If you're familiar with Docker, you understand the challenge of constructing a comprehensive environment with interconnected services, which typically requires either manual configuration or the use of docker-compose. While docker-compose is often the preferred method, it necessitates frequent adjustments for different environments, including parameter changes, image selections, and mastering the command line tool, making it somewhat inflexible and challenging for newcomers. Stakkr addresses these hurdles by offering an easy-to-use configuration file alongside a set list of services that can be expanded with plugins, streamlining the environment-building process. Moreover, it enhances user experience by facilitating seamless control directly through the command line, ultimately simplifying the Docker usage experience for developers. With Stakkr, setting up environments becomes a more efficient and less daunting task.

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

The Nebula container orchestrator is designed to empower developers and operations teams to manage IoT devices similarly to distributed Docker applications. Its primary goal is to serve as a Docker orchestrator not only for IoT devices but also for distributed services like CDN or edge computing, potentially spanning thousands or even millions of devices globally, all while being fully open-source and free to use. As an open-source initiative focused on Docker orchestration, Nebula efficiently manages extensive clusters by enabling each component of the project to scale according to demand. This innovative project facilitates the simultaneous updating of tens of thousands of IoT devices around the world with just a single API call, reinforcing its mission to treat IoT devices like their Dockerized counterparts. Furthermore, the versatility and scalability of Nebula make it a promising solution for the evolving landscape of IoT and distributed computing.

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

Ridge is a flexible cloud that’s anywhere you need to be. Through one API, Ridge converts any underlying infrastructure into a cloud-native platform. Whether you need to deploy in a private data center, on-prem server, edge micro-center, or even in an multi-facility hybrid environment, Ridge expands your footprint without limits.

Marathon serves as a robust container orchestration platform that integrates seamlessly with Mesosphere’s Datacenter Operating System (DC/OS) and Apache Mesos, ensuring high availability through its active/passive clustering and leader election mechanism, which guarantees continuous uptime. It supports multiple container runtimes, offering first-class integration for Mesos containers utilizing cgroups as well as Docker, making it adaptable to various development environments. Additionally, Marathon facilitates the deployment of stateful applications by allowing persistent storage volumes to be linked to your apps, which is particularly beneficial for running databases such as MySQL and Postgres with storage managed by Mesos. The platform boasts an intuitive and powerful user interface, along with a range of service discovery and load balancing options to suit diverse needs. Health checks are implemented to monitor application performance via HTTP or TCP checks, ensuring reliability. Users can also set up event subscriptions by providing an HTTP endpoint to receive notifications, which can aid in integrating with external load balancers. Lastly, metrics can be queried in JSON format at the /metrics endpoint, while also being capable of integration with popular systems like Graphite, StatsD, DataDog, or scraped using Prometheus, allowing for comprehensive monitoring and analysis of application performance. This combination of features positions Marathon as a versatile tool for managing containerized applications effectively.

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

Oracle's Container Engine for Kubernetes (OKE) serves as a managed container orchestration solution that significantly minimizes both the time and expenses associated with developing contemporary cloud-native applications. In a departure from many competitors, Oracle Cloud Infrastructure offers OKE as a complimentary service that operates on high-performance and cost-efficient compute shapes. DevOps teams benefit from the ability to utilize unaltered, open-source Kubernetes, enhancing application workload portability while streamlining operations through automated updates and patch management. Users can initiate the deployment of Kubernetes clusters along with essential components like virtual cloud networks, internet gateways, and NAT gateways with just a single click. Furthermore, the platform allows for the automation of Kubernetes tasks via a web-based REST API and a command-line interface (CLI), covering all aspects from cluster creation to scaling and maintenance. Notably, Oracle does not impose any fees for managing clusters, making it an attractive option for developers. Additionally, users can effortlessly and swiftly upgrade their container clusters without experiencing any downtime, ensuring they remain aligned with the latest stable Kubernetes version. This combination of features positions Oracle's offering as a robust solution for organizations looking to optimize their cloud-native development processes.

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.

Helios serves as a Docker orchestration platform designed for the deployment and management of containers across a wide array of servers. It offers both an HTTP API and a command-line interface, enabling users to interact seamlessly with the servers that host their containers. In addition, Helios maintains a record of significant events within your cluster, capturing details such as deployments, restarts, and version updates. The binary version of Helios is specifically compiled for Ubuntu 14.04.1 LTS, though it is also compatible with any platform that supports at least Java 8 and a current version of Maven 3. Users can utilize helios-solo to set up a local environment featuring both a Helios master and agent. Helios adopts a pragmatic approach; while it may not aim to address every problem at once, it is committed to delivering solid performance with the features it currently offers. Consequently, certain functionalities, like resource limits and dynamic scheduling, are not yet implemented. At this stage, the focus is primarily on solidifying CI/CD use cases and the related tools, but there are plans to eventually incorporate dynamic scheduling, composite jobs, and other advanced features in the future. The evolution of Helios reflects its dedication to continuous improvement and responsiveness to user needs.

IONOS Cloud Managed Kubernetes serves as a robust platform for managing containerized applications, offering a fully automated Kubernetes setup that streamlines the processes of deployment, scaling, and administration of container workloads. Users can swiftly establish and oversee Kubernetes clusters and node pools without navigating the complexities of the underlying infrastructure. The platform facilitates the automated creation of clusters on virtual servers and empowers developers to customize hardware specifications, including CPU type, number of CPUs per node, RAM, storage capacity, and performance, to align with specific workload needs. Designed for distributed production environments, it includes integrated persistent storage, ensuring both stateless applications and stateful services operate reliably. Furthermore, the automatic scaling feature adjusts resources dynamically based on demand, ensuring consistent performance and availability during traffic surges while also avoiding unnecessary overprovisioning. This seamless orchestration not only enhances operational efficiency but also allows teams to focus more on innovation rather than infrastructure management.

The solution addresses the three key elements of Time, Cost, and Productivity, alleviating concerns for your technology teams. Introducing a new service environment is a straightforward process, as BuildPiper allows effortless modification and duplication of build and deployment specifications from existing environments. This cloning capability significantly streamlines the creation of new environments, making it both rapid and efficient. Additionally, BuildPiper features a well-structured ‘Build Details setup template’ that can easily construct the docker image of the service with just a few straightforward inputs and configurations. For any custom requirements in the docker build process, BuildPiper accommodates them seamlessly! With the inclusion of Pre hooks and Post hooks, it facilitates the execution of personalized steps before and after the Docker image is created. Furthermore, the build template permits the establishment of CI checks right at the build definition stage, ensuring thorough oversight throughout the process. This comprehensive approach not only enhances the efficiency of the build process but also empowers development teams to innovate without being bogged down by the complexities of environment management.

It is the only Kubernetes distribution which is simple, solid, and certified. It works on any infrastructure, including bare metal, on-premises or private clouds, edge, IoT or public clouds. It's free and open source. Zero Friction – k0s dramatically reduces the complexity involved in installing and running Kubernetes. Bootstrapping new kube clusters takes only minutes. Developer friction is zero, making it easy for anyone to get started, even if they don't have any special skills. Zero Deps: k0s comes as a single binary that has no host OS dependencies other than the kernel of the host OS. It works with any OS without additional software packages. Any security vulnerabilities or performance problems can be fixed directly within the k0s Distribution. Zero Cost - K0s is free for commercial or personal use and will always be. The source code can be found on GitHub, under Apache 2 license.

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

Aurora manages applications and services across a communal array of machines, ensuring their continuous operation. In the event of machine failures, Aurora adeptly reallocates those jobs to functioning machines. During job updates, it assesses the health and status of the deployment, automatically reverting changes if required. To ensure that certain applications receive guaranteed resources, Aurora employs a quota system and accommodates multiple users for service deployment. The services are highly customizable through a Domain-Specific Language (DSL) that facilitates templating, which helps in creating standard patterns and reducing repetitive configurations. Additionally, Aurora communicates the services to Apache ZooKeeper, enabling client discovery through tools like Finagle. This comprehensive approach allows for efficient management and deployment of services in a dynamic environment.

JAAS offers Juju as a service, providing an efficient method for modeling and deploying cloud-based applications swiftly. This platform allows you to focus on your software and solutions while enjoying a fully managed Juju infrastructure. In collaboration with Google, Canonical provides a seamless ‘pure K8s’ experience that has undergone extensive testing across various cloud environments and includes integration with contemporary metrics and monitoring tools. Charmed Kubernetes is designed for comprehensive production use, encouraging you to start utilizing Kubernetes without delay. JAAS facilitates the deployment of your workloads to your preferred cloud provider, necessitating that you supply your cloud credentials for JAAS to create and manage virtual machines on your behalf. It is advisable for users to generate a distinct set of credentials solely for JAAS using the public cloud's IAM tools. The charm store features hundreds of widely-used cloud applications such as Kubernetes, Apache Hadoop, Big Data solutions, and OpenStack, with new additions made nearly every day, all of which are consistently reviewed and updated to ensure optimal performance and relevance. This continuous improvement process ensures that users always have access to the latest innovations in cloud technology.

Vagrant is a powerful utility designed for the creation and management of virtual machine environments within a streamlined process. By emphasizing automation and offering an intuitive workflow, Vagrant significantly reduces the time needed to set up development environments, enhances consistency with production setups, and effectively eliminates the outdated excuse of "it works on my machine." It allows developers to replicate production environments by ensuring uniformity in operating systems, packages, users, and configurations, while still granting the freedom to utilize preferred editors, IDEs, and browsers. Additionally, it employs a declarative configuration file that outlines all necessary requirements and orchestrates their construction through a reliable and repeatable workflow. This combination of features not only promotes efficiency but also fosters collaboration among team members working in diverse setups.

Data-driven computational pipelines. Nextflow allows for reproducible and scalable scientific workflows by using software containers. It allows adaptation of scripts written in most common scripting languages. Fluent DSL makes it easy to implement and deploy complex reactive and parallel workflows on clusters and clouds. Nextflow was built on the belief that Linux is the lingua Franca of data science. Nextflow makes it easier to create a computational pipeline that can be used to combine many tasks. You can reuse existing scripts and tools. Additionally, you don't have to learn a new language to use Nextflow. Nextflow supports Docker, Singularity and other containers technology. This, together with integration of the GitHub Code-sharing Platform, allows you write self-contained pipes, manage versions, reproduce any configuration quickly, and allow you to integrate the GitHub code-sharing portal. Nextflow acts as an abstraction layer between the logic of your pipeline and its execution layer.

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

Virtual training labs allow you to skip the tedious task of installing and troubleshooting your software. Container technology allows you to take advantage of its speed and efficiency. Containers make it possible to launch virtual training labs in a matter of seconds, instead of the hours that virtual machines (VMs), take. This drastically reduces lab costs and improves the user experience. Virtual training labs are all you need to reach your audience. There is no need to install complicated software or waste time on things that are not related to learning. Simply click a button to launch the virtual training environment. Your learners will be able to engage and master the subject with real-world training environments that are more practical than outdated screenshots. For better product adoption, brand awareness, learning outcomes, and product adoption, offer hands-on software experiences for internal and external audiences.

YARN's core concept revolves around the division of resource management and job scheduling/monitoring into distinct daemons, aiming for a centralized ResourceManager (RM) alongside individual ApplicationMasters (AM) for each application. Each application can be defined as either a standalone job or a directed acyclic graph (DAG) of jobs. Together, the ResourceManager and NodeManager create the data-computation framework, with the ResourceManager serving as the primary authority that allocates resources across all applications in the environment. Meanwhile, the NodeManager acts as the local agent on each machine, overseeing containers and tracking their resource consumption, including CPU, memory, disk, and network usage, while also relaying this information back to the ResourceManager or Scheduler. The ApplicationMaster functions as a specialized library specific to its application, responsible for negotiating resources with the ResourceManager and coordinating with the NodeManager(s) to efficiently execute and oversee the execution of tasks, ensuring optimal resource utilization and job performance throughout the process. This separation allows for more scalable and efficient management in complex computing environments.

The Java™ Programming Language is designed as a versatile, concurrent, and strongly typed object-oriented language that utilizes a class-based structure. Typically, it is translated into bytecode that adheres to the specifications laid out in the Java Virtual Machine Specification. In this language, developers write source code in standard text files that conclude with the .java suffix. These source files are subsequently transformed into .class files through the use of the javac compiler. Unlike native processor code, a .class file comprises bytecodes, which serve as the machine language understood by the Java Virtual Machine (Java VM). To execute an application, the java launcher tool creates an instance of the Java Virtual Machine, allowing the compiled bytecode to run seamlessly. This process exemplifies the efficiency and portability that Java offers across various computing environments.

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.

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.

KubeVirt technology meets the demands of development teams that are transitioning to Kubernetes while still managing legacy Virtual Machine-based workloads that cannot be easily converted into containers. Essentially, it offers a cohesive development environment where developers are able to create, alter, and deploy applications that exist in both application containers and virtual machines within a shared ecosystem. The advantages of this approach are extensive and impactful. Teams relying on established virtual machine workloads gain the ability to swiftly containerize their applications, enhancing their operational efficiency. By integrating virtualized workloads directly into their development processes, teams have the flexibility to gradually decompose these workloads while continuing to utilize the remaining virtualized elements as needed. This innovative platform allows for the combination of existing virtualized workloads with newly developed containerized workloads. Furthermore, it facilitates the creation of new microservice applications in containers that can seamlessly interact with previously established virtualized applications, thereby fostering an integrated development experience.

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

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

Photon OS™ is a minimal, open-source Linux container host designed specifically for cloud-native applications, cloud platforms, and VMware infrastructure. With the release of Photon OS 3.0, there are new features such as support for ARM64 architecture, enhancements to the installer, and refreshed package updates. We welcome collaboration from partners, customers, and community members in leveraging Photon OS for running efficient virtual machines and containerized applications. This OS includes everything necessary for installation, and users can select either a minimal or a comprehensive installation based on their deployment requirements. Photon OS can be installed directly from an ISO file or utilized in PXE/kickstart environments for automated setups. This makes it a portable and ready-to-use virtual environment. Additionally, the Photon OS Open Virtual Appliance packages come with a refined and optimized kernel, as well as packages designed to facilitate and standardize appliance deployments. By utilizing Photon OS, developers can create and build modern applications effectively in a streamlined development environment. In essence, Photon OS stands out as a versatile solution for various cloud-centric needs.

NGINX Open Source is the web server that supports over 400 million websites globally. Built upon this foundation, NGINX Plus serves as a comprehensive software load balancer, web server, and content caching solution. By opting for NGINX Plus instead of traditional hardware load balancers, organizations can unlock innovative possibilities without being limited by their infrastructure, achieving cost savings of over 80% while maintaining high performance and functionality. It can be deployed in a variety of environments, including public and private clouds, bare metal, virtual machines, and container setups. Additionally, the integrated NGINX Plus API simplifies the execution of routine tasks, enhancing operational efficiency. For today's NetOps and DevOps teams, there is a pressing need for a self-service, API-driven platform that seamlessly integrates with CI/CD workflows, facilitating faster app deployments regardless of whether the application utilizes a hybrid or microservices architecture, which ultimately streamlines the management of the application lifecycle. In a rapidly evolving technological landscape, NGINX Plus stands out as a vital tool for maximizing agility and optimizing resource utilization.

Cleura Cloud is an IaaS platform based in Europe, constructed on open standards and powered by OpenStack, which provides a secure, scalable, and programmable cloud infrastructure to assist teams in building, scaling, and managing digital services while maintaining complete control over their data and compliance standards. This platform facilitates the deployment of virtual machines with customizable compute profiles, manages container orchestration, offers block and object storage, and includes networking services, managed databases, and automation tools accessible through APIs, CLI, or a cloud management portal. Cleura prioritizes data sovereignty by operating exclusively within European data centers, thereby ensuring compliance with EU regulations and preventing unauthorized access under non-EU laws. It accommodates a variety of deployment models such as Public Cloud tailored for developers and small to medium businesses, Compliant Cloud designed for critical and regulated workloads with heightened security and availability zones, and Private Cloud for organizations requiring entirely isolated OpenStack environments. Additionally, Cleura Cloud's commitment to security and regulatory compliance makes it a compelling choice for businesses navigating the complexities of data management in today's digital landscape.

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.

Harpoon is an intuitive drag-and-drop tool designed for Kubernetes that allows users to deploy software within seconds. Whether you are just starting your journey with Kubernetes or seeking an efficient way to master it, Harpoon equips you with all the necessary features for effective deployment and configuration of your applications using this leading container orchestration platform, all without writing any code. The platform's visual interface makes it accessible for anyone to launch production-ready software effortlessly. You can easily manage simple or advanced enterprise-level cloud deployments, enabling you to deploy and configure software while autoscaling Kubernetes without the need for code or configuration scripts. With a single click, you can swiftly search for and find any commercial or open-source software available and deploy it to the cloud. Moreover, before launching any applications or services, Harpoon conducts automated security scripts to safeguard your cloud provider account. You can seamlessly connect Harpoon to your source code repository from anywhere and establish an automated deployment pipeline, ensuring a smooth development workflow. This streamlined process not only saves time but also enhances productivity, making Harpoon an essential tool for developers.