Alternatives to Centurion

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

JFrog Pipelines enables software development teams to accelerate the delivery of updates by automating their DevOps workflows in a secure and efficient manner across all tools and teams involved. It incorporates functions such as continuous integration (CI), continuous delivery (CD), and infrastructure management, automating the entire journey from code development to production deployment. This solution is seamlessly integrated with the JFrog Platform and is offered in both cloud-based and on-premises subscription models. It can scale horizontally, providing a centralized management system capable of handling thousands of users and pipelines within a high-availability (HA) setup. With pre-built declarative steps that require no scripting, users can easily construct intricate pipelines, including those that link multiple teams together. Furthermore, it works in conjunction with a wide array of DevOps tools, and the various steps within a single pipeline can operate on diverse operating systems and architectures, thus minimizing the necessity for multiple CI/CD solutions. This versatility makes JFrog Pipelines a powerful asset for teams aiming to enhance their software delivery processes.

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.

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.

Experience the pinnacle of hybrid Docker and Helm registry technology with the JFrog Container Registry, designed to empower your Docker ecosystem without constraints. Recognized as the leading registry on the market, it offers support for both Docker containers and Helm Chart repositories tailored for Kubernetes deployments. This solution serves as your unified access point for managing and organizing Docker images while effectively circumventing issues related to Docker Hub throttling and retention limits. JFrog ensures dependable, consistent, and efficient access to remote Docker container registries, seamlessly integrating with your existing build infrastructure. No matter how you choose to develop and deploy, it accommodates your current and future business needs, whether through on-premises, self-hosted, hybrid, or multi-cloud environments across platforms like AWS, Microsoft Azure, and Google Cloud. With a strong foundation in JFrog Artifactory’s established reputation for power, stability, and resilience, this registry simplifies the management and deployment of your Docker images, offering DevOps teams comprehensive control over access permissions and governance. Additionally, its robust architecture is designed to evolve and adapt, ensuring that you stay ahead in an ever-changing technological landscape.

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.

A completely serverless platform, Cloud Build dynamically adjusts its capacity to match the load, eliminating the need for pre-provisioning servers or making advance payments for extra capacity, allowing users to pay solely for what they consume. Enterprises benefit from the ability to incorporate custom build steps and pre-built extensions for third-party applications, seamlessly integrating legacy or custom tools into their build processes. To enhance security within the software supply chain, it offers vulnerability scanning and can automatically prevent the deployment of compromised images according to policies established by DevSecOps teams. The service's ability to scale up and down means that there is no infrastructure to manage, upgrade, or expand. Additionally, builds can be executed in a fully managed environment across various platforms, including Google Cloud, on-premises, other public clouds, or private networks. Users can also create portable images directly from the source without needing a Dockerfile, thanks to buildpacks. Support for Tekton pipelines running on Kubernetes further provides scalability and self-healing advantages inherent to Kubernetes, while maintaining flexibility and avoiding vendor lock-in. As a result, organizations can focus on their development processes without the burden of managing underlying infrastructure.

Oracle Cloud Infrastructure Container Registry is a managed Docker registry service that adheres to open standards, allowing for the secure storage and sharing of container images. Engineers can utilize the well-known Docker Command Line Interface (CLI) and API to efficiently push and pull Docker images. The Registry is designed to facilitate container lifecycles by integrating seamlessly with Container Engine for Kubernetes, Identity and Access Management (IAM), Visual Builder Studio, as well as various third-party development and DevOps tools. Users can manage Docker images and container repositories by employing familiar Docker CLI commands and the Docker HTTP API V2. With Oracle handling the operational aspects and updates of the service, developers are free to concentrate on creating and deploying their containerized applications. Built on a foundation of object storage, Container Registry guarantees data durability and high availability of service through automatic replication across different fault domains. Notably, Oracle does not impose separate fees for the service; users are only billed for the storage and network resources utilized, making it an economical choice for developers. This model allows for a streamlined experience in managing container images while ensuring robust performance and reliability.

Transform your Kubernetes autoscaling from a reactive approach to a proactive one with PredictKube, enabling you to initiate autoscaling processes ahead of anticipated load increases through our advanced AI predictions. By leveraging data over a two-week period, our AI model generates accurate forecasts that facilitate timely autoscaling decisions. The innovative predictive KEDA scaler, known as PredictKube, streamlines the autoscaling process, reducing the need for tedious manual configurations and enhancing overall performance. Crafted using cutting-edge Kubernetes and AI technologies, our KEDA scaler allows you to input data for more than a week and achieve proactive autoscaling with a forward-looking capacity of up to six hours based on AI-derived insights. The optimal scaling moments are identified by our trained AI, which meticulously examines your historical data and can incorporate various custom and public business metrics that influence traffic fluctuations. Furthermore, we offer free API access, ensuring that all users can utilize essential features for effective autoscaling. This combination of predictive capabilities and ease of use is designed to empower your Kubernetes management and enhance system efficiency.

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.

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.

Test Kitchen serves as a testing framework that allows the execution of infrastructure code in a controlled environment across multiple platforms. It employs a driver plugin system to facilitate code execution on a variety of cloud services and virtualization options, including Vagrant, Amazon EC2, Microsoft Azure, Google Compute Engine, and Docker, among others. The tool comes pre-configured with support for several testing frameworks such as Chef InSpec, Serverspec, and Bats. In addition, it offers compatibility with Chef Infra workflows, allowing for cookbook dependency management through Berkshelf or Policyfiles, or even by simply including a cookbooks/ directory for automatic recognition. As a result, Test Kitchen is widely adopted by community cookbooks managed by Chef and has become the preferred tool for integration testing in the cookbook ecosystem. This widespread usage underscores its importance in ensuring that infrastructure code is robust and reliable across diverse environments.

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.

Docker images are stored in a highly resilient storage solution. Automatic data replication is set up for all assets, ensuring that any changes—whether editing, creating, or deleting Docker images—are reflected across all replicas. The service supports containers for both Linux and Windows operating systems, allowing you to utilize them on your personal devices or within a Yandex Compute Cloud virtual machine. It offers rapid Docker image operations without incurring costs for external traffic since the image registries are situated within the same data centers as your cloud setup. Docker images are securely transmitted using HTTPS, and you have the authority to determine who can view, pull, push, or remove them. When you use a Docker image, we handle all the infrastructure maintenance for your registry. You are only charged for the storage utilized by your Docker images. Accessing the service can be done through the management console, command line interface (CLI), API, or the standard Docker CLI, with full compatibility with the Docker registry HTTP API V2. Additionally, this service ensures a seamless experience by integrating with various tools and workflows you may already be using.

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.

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.

It's time for your software to be distributed after you have put in a lot of work. Do not spend weeks trying to figure out how to install Centurion Setup when you are so close. Centurion Setup can be used in minutes and you will have a professional-looking installation program ready in no time. The installer runs on all Windows versions and is contained in a single executable file. Centurion Setup is easy to use, yet feature-rich. It supports uninstallation, multiple languages and interface customization. Centurion Setup will help you get to the finish line.

Utilize a fully managed private registry to store and distribute container images efficiently. You can push these private images to seamlessly run within the IBM Cloud® Kubernetes Service and various other runtime environments. Each image undergoes a security assessment, enabling you to make well-informed choices regarding your deployments. To manage your namespaces and Docker images in the IBM Cloud® private registry through the command line, install the IBM Cloud Container Registry CLI. You can also utilize the IBM Cloud console to examine potential vulnerabilities and the security status of images housed in both public and private repositories. It is essential to monitor the security condition of container images provided by IBM, third-party vendors, or those added to your organization's registry namespace. Furthermore, advanced features offer insights into security compliance, along with access controls and image signing options, ensuring a fortified approach to container management. Additionally, enjoy the benefits of pre-integration with the Kubernetes Service for streamlined operations.

The system registry plays a crucial role in the functionality of the operating system. The overall performance of the system is reliant on its proper maintenance, and the efficiency of the applications you utilize is influenced by the amount of data it holds. Registry Life is a program designed to fix errors within the registry and enhance its performance. It is a straightforward, compact, and free tool that facilitates the management of your system registry. This utility provides an effective means to clean and repair the registry, allowing users to conduct scans that can identify over ten distinct types of issues. Additionally, it removes unnecessary informational clutter from the registry, streamlining its contents. Furthermore, Registry Life also functions to defragment and compress the registry. The software optimizes the registry quickly and effectively, while also presenting the results of its operations in an easy-to-understand visual format. Overall, using Registry Life can lead to a more stable and faster operating system experience.

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.

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.

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.

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.

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!

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.

Microservices, containers, and Kubernetes empower applications to operate independently from the underlying infrastructure, allowing them to be deployed across various environments. Utilizing VMware Tanzu enables organizations to fully leverage these cloud-native architectures, streamlining the deployment of containerized applications while facilitating proactive management in live environments. The primary goal is to liberate developers, allowing them to focus on creating exceptional applications. Integrating Kubernetes into your existing infrastructure doesn't necessarily complicate matters; with VMware Tanzu, you can prepare your infrastructure for contemporary applications by implementing consistent and compliant Kubernetes across all environments. This approach not only provides a self-service and compliant experience for developers, smoothing their transition to production, but also allows for centralized management, governance, and monitoring of all clusters and applications across multiple cloud platforms. Ultimately, it simplifies the entire process, making it more efficient and effective. By embracing these strategies, organizations can enhance their operational capabilities significantly.

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.