Alternatives to Nebula Container Orchestrator

Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.

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

Amazon Elastic Kubernetes Service (EKS) is a comprehensive Kubernetes management solution that operates entirely under AWS's management. High-profile clients like Intel, Snap, Intuit, GoDaddy, and Autodesk rely on EKS to host their most critical applications, benefiting from its robust security, dependability, and ability to scale efficiently. EKS stands out as the premier platform for running Kubernetes for multiple reasons. One key advantage is the option to deploy EKS clusters using AWS Fargate, which offers serverless computing tailored for containers. This feature eliminates the need to handle server provisioning and management, allows users to allocate and pay for resources on an application-by-application basis, and enhances security through inherent application isolation. Furthermore, EKS seamlessly integrates with various Amazon services, including CloudWatch, Auto Scaling Groups, IAM, and VPC, ensuring an effortless experience for monitoring, scaling, and load balancing applications. This level of integration simplifies operations, enabling developers to focus more on building their applications rather than managing infrastructure.

Deploy sophisticated applications using a secure and managed Kubernetes platform. GKE serves as a robust solution for running both stateful and stateless containerized applications, accommodating a wide range of needs from AI and ML to various web and backend services, whether they are simple or complex. Take advantage of innovative features, such as four-way auto-scaling and streamlined management processes. Enhance your setup with optimized provisioning for GPUs and TPUs, utilize built-in developer tools, and benefit from multi-cluster support backed by site reliability engineers. Quickly initiate your projects with single-click cluster deployment. Enjoy a highly available control plane with the option for multi-zonal and regional clusters to ensure reliability. Reduce operational burdens through automatic repairs, upgrades, and managed release channels. With security as a priority, the platform includes built-in vulnerability scanning for container images and robust data encryption. Benefit from integrated Cloud Monitoring that provides insights into infrastructure, applications, and Kubernetes-specific metrics, thereby accelerating application development without compromising on security. This comprehensive solution not only enhances efficiency but also fortifies the overall integrity of your deployments.

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

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.

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

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.

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.

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.

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.

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.

An entirely automated DevOps platform designed for the seamless distribution of reliable software releases from development to production. Expedite the onboarding of DevOps initiatives by managing users, resources, and permissions to enhance deployment velocity. Confidently implement updates by proactively detecting open-source vulnerabilities and ensuring compliance with licensing regulations. Maintain uninterrupted operations throughout your DevOps process with High Availability and active/active clustering tailored for enterprises. Seamlessly manage your DevOps ecosystem using pre-built native integrations and those from third-party providers. Fully equipped for enterprise use, it offers flexibility in deployment options, including on-premises, cloud, multi-cloud, or hybrid solutions that can scale alongside your organization. Enhance the speed, dependability, and security of software updates and device management for IoT applications on a large scale. Initiate new DevOps projects within minutes while easily integrating team members, managing resources, and establishing storage limits, enabling quicker coding and collaboration. This comprehensive platform empowers your team to focus on innovation without the constraints of traditional deployment challenges.

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.

Concentrate on developing your applications and the associated business logic, while allowing Azure to manage complex distributed system challenges like reliability, scalability, management, and latency. Azure Service Fabric, an open source initiative, supports essential Azure infrastructure and various Microsoft offerings, including Skype for Business, Intune, Azure Event Hubs, Azure Data Factory, Azure Cosmos DB, Azure SQL Database, Dynamics 365, and Cortana. It is engineered to provide services that are both highly available and resilient at a cloud scale, as it inherently comprehends the infrastructure capabilities and resource requirements of your applications. This capability facilitates automatic scaling, seamless upgrades, and self-recovery from any faults that may arise. By utilizing Azure Service Fabric, developers can concentrate on creating features that enhance the business value of their applications, eliminating the need to write additional code to address issues related to reliability, scalability, management, or latency within the underlying systems. Ultimately, this allows for a more efficient development process and a stronger focus on innovation.

Design, oversee, operate, and enhance high-performance computing (HPC) and large-scale compute clusters seamlessly. Implement comprehensive clusters and additional resources, encompassing task schedulers, computational virtual machines, storage solutions, networking capabilities, and caching systems. Tailor and refine clusters with sophisticated policy and governance tools, which include cost management, integration with Active Directory, as well as monitoring and reporting functionalities. Utilize your existing job scheduler and applications without any necessary changes. Empower administrators with complete authority over job execution permissions for users, in addition to determining the locations and associated costs for running jobs. Benefit from integrated autoscaling and proven reference architectures suitable for diverse HPC workloads across various sectors. CycleCloud accommodates any job scheduler or software environment, whether it's proprietary, in-house solutions or open-source, third-party, and commercial software. As your requirements for resources shift and grow, your cluster must adapt accordingly. With scheduler-aware autoscaling, you can ensure that your resources align perfectly with your workload needs while remaining flexible to future changes. This adaptability is crucial for maintaining efficiency and performance in a rapidly evolving technological landscape.

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.

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.

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.

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.

What makes azk stand out? Azk is open source software (Apache 2.0) and will remain that way indefinitely. It offers an agnostic approach with an exceptionally gentle learning curve, allowing you to continue utilizing the same development tools you are accustomed to. With just a few commands, you can transition from hours or days of setup to a matter of minutes. The magic of azk lies in its ability to execute concise and straightforward recipe files (Azkfile.js), which specify the environments to be installed and configured. Its performance is impressively efficient, ensuring your machine hardly notices its presence. By utilizing containers rather than virtual machines, azk provides superior performance while consuming fewer physical resources. Built on Docker, the leading open-source engine for container management, azk ensures that sharing an Azkfile.js guarantees complete consistency across different development environments, minimizing the risk of bugs during deployment. Are you unsure whether all the developers on your team are running the most current version of the development environment? With azk, you can easily verify and maintain synchronization across all machines.

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.

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

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.

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.

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 can be run in production using the #1 Kubernetes platform. It offers persistent storage, backup, data security, capacity management, and DR. You can easily backup, restore, and migrate Kubernetes applications to any cloud or data centre. Portworx Enterprise Storage Platform provides end-to-end storage, data management, and security for all Kubernetes projects. This includes container-based CaaS and DBaaS as well as SaaS and Disaster Recovery. Container-granular storage, disaster recovery and data security will all be available to your apps. Multi-cloud migrations are also possible. You can easily solve enterprise requirements for Kubernetes data service. Your users can easily access a cloud-like DbaaS without losing control. Operational complexity is eliminated by scaling the backend data services that power your SaaS app. With a single command, add DR to any Kubernetes application. All your Kubernetes apps can be easily backed up and restored.

Codiac serves as a comprehensive platform designed for large-scale infrastructure management, featuring a cohesive control plane that simplifies aspects such as container orchestration, multi-cluster management, and dynamic configuration without requiring YAML files or GitOps. Its Kubernetes-driven closed-loop system efficiently automates various processes, including workload scaling, the creation of temporary clusters, blue/green and canary deployments, and innovative “zombie mode” scheduling that optimizes costs by powering down inactive environments. Users benefit from immediate ingress, domain, and URL management alongside the effortless integration of TLS certificates through Let’s Encrypt. Each deployment not only produces immutable system snapshots and maintains versioning for instantaneous rollbacks but also ensures compliance through audit-ready features. Security is bolstered by role-based access control (RBAC), finely tuned permissions, and comprehensive audit logs that adhere to enterprise standards, while integration with CI/CD pipelines, real-time logging, and observability dashboards grants complete visibility over all resources and environments, thereby enhancing operational efficiency. All these features work together to create a seamless user experience, making Codiac an invaluable tool for modern infrastructure challenges.

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.

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.

Apache ODE, or Orchestration Director Engine, is a software tool that executes business processes adhering to the WS-BPEL standard. It interacts with web services by sending and receiving messages while also managing data manipulation and error recovery according to the defined process. This engine is capable of supporting both short-lived and long-running process executions, allowing it to orchestrate all services involved in your application seamlessly. WS-BPEL, which stands for Business Process Execution Language, is an XML-based language that specifies various constructs for modeling business processes. It includes essential control structures such as loops and conditions, along with elements designed for invoking web services and receiving messages. The language utilizes WSDL to define the interfaces of web services. Additionally, message structures can be manipulated, enabling the assignment of parts or entire messages to variables that are utilized for sending further messages. Notably, Apache ODE offers simultaneous support for both the WS-BPEL 2.0 standard established by OASIS and the earlier BPEL4WS 1.1 vendor specification, ensuring versatility and compatibility in diverse environments. This dual support allows developers to transition smoothly between standards while maintaining operational continuity.

Utilize the advanced container operating system to deploy and oversee your containers effectively. By leveraging immutable infrastructure, you can seamlessly deploy and scale your applications that are containerized. Project Atomic consists of several components, including Atomic Host, Team Silverblue, and a suite of container management tools designed for cloud-native environments. Atomic Host enables the establishment of immutable infrastructure across numerous servers, whether in a private or public cloud setting. With options such as Fedora Atomic Host, CentOS Atomic Host, and Red Hat Atomic Host, users can select the edition that best meets their platform and support requirements. To accommodate both stability and the introduction of new features, we offer various releases of Atomic Host for your selection. Additionally, Team Silverblue is dedicated to providing a consistent and immutable infrastructure for an enhanced desktop experience, ensuring that users enjoy a reliable and up-to-date system. This multifaceted approach allows for flexibility in how you manage your containerized applications across different environments.

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.

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.

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.

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.

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.

Conductor serves as a cloud-based workflow orchestration engine designed to assist Netflix in managing process flows that rely on microservices. It boasts a number of key features, including an efficient distributed server ecosystem that maintains workflow state information. Users can create business processes where individual tasks may be handled by either the same or different microservices. The system utilizes a Directed Acyclic Graph (DAG) for workflow definitions, ensuring that these definitions remain separate from the actual service implementations. It also offers enhanced visibility and traceability for the various process flows involved. A user-friendly interface facilitates the connection of workers responsible for executing tasks within these workflows. Notably, workers are language-agnostic, meaning each microservice can be developed in the programming language best suited for its purposes. Conductor grants users total operational control over workflows, allowing them to pause, resume, restart, retry, or terminate processes as needed. Ultimately, it promotes the reuse of existing microservices, making the onboarding process significantly more straightforward and efficient for developers.

Forward-thinking organizations that prioritize high levels of availability and reliability utilize Nebula to manage their networks. After extensive research and development, Slack has made this project open-source following its successful large-scale implementation. Nebula is designed to be a lightweight service that can be easily distributed and configured across contemporary operating systems. It is compatible with various hardware architectures, including x86, arm, mips, and ppc. In contrast to conventional VPNs, which often suffer from availability and performance issues, Nebula offers a more efficient solution. Its decentralized structure enables the creation of encrypted tunnels on a per-host basis, activated as needed. Developed by experts in security, Nebula employs trusted cryptographic libraries, features an integrated firewall with detailed security groups, and incorporates the most effective elements of public key infrastructure for host authentication. This combination of features ensures a robust and flexible networking environment for modern demands.

Pliant offers a robust solution for IT Process Automation that simplifies, enhances, and secures the way teams create and implement automation. By minimizing human errors, ensuring compliance, and boosting overall efficiency, Pliant serves as an invaluable resource. Users can easily incorporate existing automation or develop new workflows through a unified orchestration interface. The platform provides reliable governance that maintains compliance through practical, built-in features. By abstracting thousands of vendor APIs, Pliant creates intelligent action blocks that empower users to simply drag and drop, eliminating the need for repetitive coding. Citizen developers can seamlessly construct effective and uniform automation across various platforms, services, and applications within minutes, thereby maximizing the value of their entire technology ecosystem from a single interface. Furthermore, with the capability to integrate new APIs in just 15 business days, Pliant ensures that any non-standard requirements will be addressed in a leading timeframe, keeping your automation capabilities up to date. This efficiency allows teams to remain agile and responsive in a rapidly changing technological landscape.

Introducing OpenNebula, a versatile Cloud & Edge Computing Platform designed to deliver flexibility, scalability, simplicity, and independence from vendors, catering to the evolving demands of developers and DevOps teams. This open-source platform is not only powerful but also user-friendly, enabling organizations to construct and oversee their Enterprise Clouds with ease. OpenNebula facilitates comprehensive management of IT infrastructure and applications, effectively eliminating vendor lock-in while streamlining complexity, minimizing resource usage, and lowering operational expenses. By integrating virtualization and container technologies with features like multi-tenancy, automated provisioning, and elasticity, OpenNebula provides the capability to deploy applications and services on demand. The typical architecture of an OpenNebula Cloud includes a management cluster, which encompasses the front-end nodes, alongside the cloud infrastructure consisting of one or more workload clusters, ensuring robust and efficient operations. This structure allows for seamless scalability and adaptability to meet the dynamic requirements of modern workloads.

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

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.

UbiOps serves as a robust AI infrastructure platform designed to enable teams to efficiently execute their AI and ML workloads as dependable and secure microservices, all while maintaining their current workflows. In just a few minutes, you can integrate UbiOps effortlessly into your data science environment, thereby eliminating the tedious task of establishing and overseeing costly cloud infrastructure. Whether you're a start-up aiming to develop an AI product or part of a larger organization's data science unit, UbiOps provides a solid foundation for any AI or ML service you wish to implement. The platform allows you to scale your AI workloads in response to usage patterns, ensuring you only pay for what you use without incurring costs for time spent idle. Additionally, it accelerates both model training and inference by offering immediate access to powerful GPUs, complemented by serverless, multi-cloud workload distribution that enhances operational efficiency. By choosing UbiOps, teams can focus on innovation rather than infrastructure management, paving the way for groundbreaking AI solutions.