Alternatives to IOhub

Docker streamlines tedious configuration processes and is utilized across the entire development lifecycle, facilitating swift, simple, and portable application creation on both desktop and cloud platforms. Its all-encompassing platform features user interfaces, command-line tools, application programming interfaces, and security measures designed to function cohesively throughout the application delivery process. Jumpstart your programming efforts by utilizing Docker images to craft your own distinct applications on both Windows and Mac systems. With Docker Compose, you can build multi-container applications effortlessly. Furthermore, it seamlessly integrates with tools you already use in your development workflow, such as VS Code, CircleCI, and GitHub. You can package your applications as portable container images, ensuring they operate uniformly across various environments, from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE, and beyond. Additionally, Docker provides access to trusted content, including official Docker images and those from verified publishers, ensuring quality and reliability in your application development journey. This versatility and integration make Docker an invaluable asset for developers aiming to enhance their productivity and efficiency.

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.

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.

Configuration as code allows for pipelines to be set up using a straightforward and legible file that can be committed to your git repository. Each step in the pipeline runs within a dedicated Docker container, which is automatically retrieved at the time of execution. Drone is compatible with various source code management systems, effortlessly integrating with platforms like GitHub, GitHubEnterprise, Bitbucket, and GitLab. It supports a wide range of operating systems and architectures, including Linux x64, ARM, ARM64, and Windows x64. Additionally, Drone is flexible with programming languages, functioning seamlessly with any language, database, or service that operates in a Docker container, offering the choice of utilizing thousands of public Docker images or providing custom ones. The platform also facilitates the creation and sharing of plugins by leveraging containers to insert pre-configured steps into your pipeline, allowing users to select from hundreds of available plugins or develop their own. Furthermore, Drone simplifies advanced customization options, enabling users to implement tailored access controls, establish approval workflows, manage secrets, extend YAML syntax, and much more. This flexibility ensures that teams can optimize their workflows according to their specific needs and preferences.

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

Accelerate the development of your deep learning project on Google Cloud: Utilize Deep Learning Containers to swiftly create prototypes within a reliable and uniform environment for your AI applications, encompassing development, testing, and deployment phases. These Docker images are pre-optimized for performance, thoroughly tested for compatibility, and designed for immediate deployment using popular frameworks. By employing Deep Learning Containers, you ensure a cohesive environment throughout the various services offered by Google Cloud, facilitating effortless scaling in the cloud or transitioning from on-premises setups. You also enjoy the versatility of deploying your applications on platforms such as Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm, giving you multiple options to best suit your project's needs. This flexibility not only enhances efficiency but also enables you to adapt quickly to changing project requirements.

Effortlessly create digital twins of your devices within minutes using Edge One™, the SmartPlug™, the PicoPlug™, or our MQTT and REST libraries. You can remotely configure, manage, and update all your devices while seamlessly sending edge data to CloudPlugs IoT or any other IoT cloud platform. Develop your edge IIoT applications in any programming language and quickly construct dashboards and HMIs with advanced visual designers for both edge and cloud environments. Deploy applications, containers, and updates for thousands of devices with just a single click via CloudPlugs IoT, allowing for easy ingestion, processing, and analysis of edge data. This functionality supports the optimization and automation of operations, and you can manage the entire lifecycle of your devices, applications, containers, and data from one user-friendly central management console. Our clients have successfully utilized our solutions to connect legacy DCS systems, build data lakes, and implement various strategies for predictive maintenance, asset tracking, and materials aging in power plants. Furthermore, we have effectively integrated comprehensive building management, energy management, and occupancy management systems to enhance operational efficiency. Overall, our technology empowers organizations to achieve streamlined processes and better performance across their operations.

Container images are made up of various layers and software packages that can be at risk of vulnerabilities, which may jeopardize the safety of both containers and applications. These security risks necessitate proactive measures, and Docker Scout serves as an effective tool to bolster the security of your software supply chain. By examining your images, Docker Scout creates a detailed inventory of the components, referred to as a Software Bill of Materials (SBOM). This SBOM is then compared against a constantly updated database of vulnerabilities to identify potential security flaws. Operating as an independent service, Docker Scout can be accessed through Docker Desktop, Docker Hub, the Docker CLI, and the Docker Scout Dashboard. Furthermore, it supports integrations with external systems, including container registries and CI platforms. Take the opportunity to uncover and analyze the structure of your images, ensuring that your artifacts conform to the best practices of the supply chain. By leveraging Docker Scout, you can maintain a robust defense against emerging threats in your software environment.

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.

To effectively build and manage your Industrial Internet of Things (IIoT) solution, it is essential to utilize a platform that facilitates seamless communication among your devices and applications. This is precisely where our IIoT platform, Telit deviceWISE® for Factory, proves invaluable. With Telit deviceWISE for Factory, there's no need for custom coding to swiftly link your enterprise and IoT applications, including those hosted on platforms like Amazon, SAP, and IBM Watson. Our IIoT platform streamlines the process of connecting the factory to enterprise systems and the overall value chain, allowing you to access the data necessary to enhance productivity and boost profits. Rather than spending your time on developing custom code for IIoT connectivity issues, our platform enables you to simply plug in deviceWISE, which automatically connects your devices and applications, while you configure them quickly using an intuitive drag-and-drop interface. Additionally, deviceWISE allows for seamless integration with your current system architecture or provides the flexibility to create a new system tailored to your needs, ensuring a comprehensive solution for your IIoT challenges. You can focus on driving your business forward, knowing that your IIoT connectivity is managed efficiently.

Instainer is a cloud-based Docker container hosting platform that enables users to deploy any Docker container instantly using a Heroku-style Git deployment approach. During our transition to Docker within the company, we realized that there was a gap in immediate access to containers, despite Docker offering exceptional capabilities for our DevOps team. To address this need, we created Instainer specifically for engineers seeking to quickly run Docker containers in the cloud. We highly encourage your input and insights to enhance our service. Instainer facilitates Heroku-style Git deployment for your containers, and once you launch a container, it automatically generates a Git repository, pushing the container's data into it for seamless management. Users can effortlessly clone and modify their data through Git, allowing for efficient development workflows. Additionally, Instainer supports the WordPress content management system, enabling the use of plugins, widgets, and themes to enrich user experience and functionality. Our aim is to streamline the deployment process and empower developers with rapid and flexible container management.

Tencent Cloud Lighthouse represents an advanced cloud server solution tailored for lightweight application needs, delivering a seamless experience that empowers users to swiftly create and deploy websites, web applications, mini programs, mini games, and development setups without the hassle of complicated configurations. By consolidating essential cloud resources such as computing power, storage options, and networking capabilities into ready-made packages, it streamlines infrastructure management, enabling users to launch their applications with just a few simple clicks. A diverse array of prebuilt images is available, featuring various operating systems and well-known software stacks like WordPress, LAMP, Node.js, and Docker, facilitating automatic application initialization without the need for manual installation or setup. Lighthouse instances operate as virtual cloud servers, equipped with CPU, storage, and network functionalities, making them ideal for handling low to medium workloads, including small websites, blogs, ecommerce sites, and testing environments. This combination of ease of use and robust functionality makes Tencent Cloud Lighthouse an appealing choice for developers and businesses alike.

balenaEngine is a specialized container engine designed specifically for embedded systems and IoT applications, utilizing technology from the Moby Project by Docker. It is significantly smaller than Docker CE, boasting a size reduction of 3.5 times and is distributed as a single binary. This engine is compatible with a diverse range of chipset architectures, catering to everything from small IoT devices to larger industrial gateways. It offers bandwidth-efficient updates using binary diffs that can be 10 to 70 times smaller compared to the traditional method of pulling layers in various scenarios. To mitigate excessive disk writing and safeguard against potential storage corruption, it extracts layers as they are received. Additionally, its atomic and durable image pulls ensure protection against incomplete container downloads in case of power interruptions. The design also minimizes page cache thrashing during image pulls, allowing applications to run smoothly even in low-memory environments. In summary, balenaEngine is an innovative solution that not only supports Docker containers but also enhances bandwidth efficiency for container updates. This makes it an ideal choice for developers seeking reliability and efficiency in IoT and embedded systems.

The optimal industrial IoT platform for your organization is one that you develop yourself. Enhance your IIoT solution by leveraging integrated services and platforms from Microsoft and Amazon, which include edge-to-cloud capabilities, flexible enterprise data components, and production application source code. There's no requirement to begin from the ground up when creating your industrial IoT platform. Boost your business's value and operational efficiency by utilizing pre-integrated, IT-compatible digital solution components for AWS, Microsoft Azure, and various other cloud platforms, complete with tools designed for swift device connectivity and AI-powered edge analytics. Additionally, expand your capabilities with our customizable smart product engine, which addresses prevalent internet of things challenges through the provision of templates and source code for user interface dashboards, user management, asset lifecycle management, predictive maintenance, geofencing, and alert systems, thereby facilitating rapid integration of IIoT data with digital enterprise systems, technologies, devices, and workflows. By taking advantage of these resources, your organization can more effectively overcome IoT challenges and drive innovation.

Comprehensive protection, oversight, and micro-segmentation of workloads are essential for private cloud and on-premises data center settings. This includes fortifying security and providing monitoring capabilities specifically designed for private cloud infrastructures and physical data centers, along with support for Docker containerization. Utilizing agentless protection for Docker containers allows for extensive application control paired with streamlined management. To defend against zero-day vulnerabilities, implementing application whitelisting, detailed intrusion prevention measures, and real-time file integrity monitoring (RT-FIM) is crucial. Additionally, ensuring the security of OpenStack deployments requires thorough hardening of the Keystone identity service module. Continuous monitoring of data center security is vital for maintaining safe operations in private clouds and physical environments. Moreover, enhancing security performance in VMware setups can be achieved through agentless antimalware solutions, alongside network intrusion prevention and file reputation services, which collectively contribute to a robust security posture. Ultimately, effective security measures are indispensable for safeguarding sensitive data within these infrastructures.

Jelastic Cloud provides a highly scalable cloud solution that integrates the PaaS (Platform as a Service) and CaaS (Container as a Service) frameworks to optimize virtualized resources. Utilizing container technology, Jelastic employs micro clouds known as cloudlets, which feature 128MB of RAM and 400MHz of vCPU, accessible directly through the platform. Users can choose between a pay-per-use model or preconfigured plans with monthly subscriptions. This service empowers users to swiftly create, modify, and duplicate their desired environments within seconds. The infrastructure is dynamically shaped in real-time, leveraging the virtualization of various resources such as storage, servers, load balancers, and databases, along with support for multiple technologies like Docker, Ruby, PHP, and Java. Jelastic Cloud accommodates diverse pricing structures, including flat-rate options and a flexible pay-as-you-go model, allowing users to benefit from its scalability while only incurring costs for the resources they actively utilize. Additionally, the platform's versatility makes it suitable for a range of applications, catering to both small projects and enterprise-level needs.

WhaleDeck is the ultimate app to monitor and control your Docker containers. WhaleDeck's user-friendly interface is packed with powerful features. It is the only tool that you need to manage Docker environments. WhaleDeck's real time visualization of CPU, Memory, Drive and Network usage allows you to easily monitor your containers. Log viewer allows you to keep track of container logs, and identify problems quickly. With the ability to manage multiple servers simultaneously, you can manage all your Docker environments in one place. You can control your containers by running actions such as start, stop and pause for a single container, or multiple containers, at the same time. Split View allows you to work more efficiently by displaying multiple parts of your Docker Environment side-by-side. WhaleDeck is the perfect tool for anyone who needs to manage Docker Containers, whether they are developers, DevOps engineers, or simply someone who wants to manage Docker Containers.

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.

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 Predix Platform serves as the backbone for industrial operations. It is an asset-focused and scalable data foundation that functions as a secure application platform capable of running, scaling, and enhancing digital industrial solutions. This platform provides essential shared capabilities necessary for industrial applications, including asset connectivity, edge technology, analytics, machine learning, big data processing, and the creation of asset-centric digital twins. As a distributed application platform, the Predix Platform is finely tuned for managing and analyzing high volumes of data with low latency, ensuring effective integration. Additionally, Predix Essentials offers a comprehensive solution tailored for industrial monitoring and event management. This tool harnesses the power of the Predix Platform, incorporating asset connectivity and edge-to-cloud data processing along with a robust user console, all pre-configured for swift implementation—eliminating the need for any development effort. With Predix Essentials, organizations can quickly achieve operational efficiency and enhanced insights.

Mirantis Container Runtime (MCR), which was previously known as Docker Engine Enterprise, serves as a secure and robust container runtime designed for enterprise use, allowing development teams to create and manage containers on both Linux and Windows platforms while utilizing the familiar Docker CLI, Dockerfiles, and APIs essential for mission-critical applications. This solution is fully aligned with Docker-centric workflows and toolchains, ensuring a smooth transition from development to production with rigorously tested and validated releases across various operating systems, accompanied by comprehensive CVE patching and bug fixes that maintain workload reliability. Furthermore, MCR emphasizes top-tier security through FIPS 140-2 certified cryptographic modules, implements mandatory access controls such as AppArmor and SELinux, and incorporates image signature verification, alongside support for sandboxed runtimes like Kata and gVisor, all aimed at maintaining trusted and compliant containers. The combination of these features positions MCR as a leading choice for organizations seeking to enhance their container management capabilities while adhering to strict security standards.

TagoIO is a comprehensive cloud software platform that empowers users to convert IoT sensor information into intelligent solutions while avoiding the intricacies of cloud management. It enables the connection and oversight of devices across over 500 communication protocols, such as LoRaWAN, NB-IoT, Wi-Fi, satellite, BLE, MQTT, and HTTP, by utilizing pre-configured connectors that standardize device data. The platform delivers scalable device management, secure data storage, real-time visualization, tailored analytics, automation features, alerts, and multi-tenant access control, allowing users to create dashboards, workflows, and logic all within a unified environment. TagoIO streamlines the process of developing and launching IoT applications through the use of templates, intuitive drag-and-drop interfaces, and robust APIs, while efficiently managing backend infrastructure to facilitate swift development and deployment. Additionally, it provides sophisticated analytics to convert raw data into meaningful insights and accommodates edge computing, mobile accessibility, white-labeling options, and the ability to integrate with external systems, further enhancing its versatility. Overall, TagoIO stands out as a powerful tool for businesses seeking to harness the potential of IoT technology effectively.

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.

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.

With Container Registry, your team has the ability to oversee Docker images, conduct vulnerability assessments, and implement precise access controls for resource management, all from a single platform. The integration with existing CI/CD systems enables you to set up fully automated Docker pipelines, ensuring that information flows without any delays. Within just a few minutes, you can access private and secure Docker image storage on the Google Cloud Platform. You have the power to control who can access, view, or download images, ensuring that sensitive data remains protected. Experience consistent uptime on a secure infrastructure, backed by Google’s robust security measures. As you commit code to Cloud Source Repositories, GitHub, or Bitbucket, images can be built and pushed automatically to the private registry. Additionally, you can easily configure CI/CD pipelines with Cloud Build integration or deploy applications directly to platforms such as Google Kubernetes Engine, App Engine, Cloud Functions, or Firebase. Containers can be built automatically in response to code changes or tagged updates to a repository. Furthermore, you can search through previous builds using the user interface, and access detailed information about each build, including triggers, sources, steps taken, and logs generated. This comprehensive approach makes managing your Docker images simpler and more efficient than ever.

Build, ship and monitor applications on any Server. Start with one of our templates or our guides to create a Dockerfile. You can deploy your Dockerfile by pasting the docker-compose.yml into Lunni dashboard. Lunni can be run on AWS Azure DigitalOcean and any other Docker-compatible platform. You have complete control over your server. This allows you to easily move from one cloud provider to another, and helps you comply to privacy regulations such as GDPR. You don't know any code? No problem! Browse our marketplace and launch apps with just a couple of clicks. Choose from popular web apps like Ghost and Forgejo or nocode solutions such as PocketBase.

The Docker MCP Gateway is a fundamental open source element of the Docker MCP Catalog and Toolkit, designed to run Model Context Protocol (MCP) servers within isolated Docker containers that have limited privileges, restricted network access, and defined resource constraints, thereby providing secure and consistent environments for AI applications. This component oversees the complete lifecycle of MCP servers by launching containers as needed when an AI application requires a specific tool, injecting necessary credentials, enforcing security measures, and directing requests so that servers can effectively process them and deliver outcomes through a single, cohesive gateway interface. By positioning all operational MCP containers behind one unified access point, the Gateway enhances the ease with which AI clients can discover and utilize various MCP services, minimizing redundancy, boosting performance, and centralizing aspects of configuration and authentication. In essence, it streamlines the interaction between AI applications and multiple services, fostering a more efficient development process and elevating overall system security.

Mailcow: Dockerized is a self-hosted email and groupware solution built on Docker technology. It incorporates a variety of established and reliable components that work together to create a hassle-free email server experience. Each application is encapsulated within its own container, all linked through a bridged network for seamless interaction and functionality. This modular approach enhances the scalability and maintainability of the server setup.

AMD Developer Cloud grants immediate access to high-performance AMD Instinct MI300X GPUs for developers and open-source contributors through a convenient cloud-based interface, featuring a ready-to-use environment that includes Docker containers and Jupyter notebooks, eliminating the need for any local setup. Developers can execute various workloads such as AI, machine learning, and high-performance computing on configurations tailored to their needs, whether opting for a smaller setup with 1 GPU providing 192 GB of memory and 20 vCPUs or a larger setup that includes 8 GPUs with a staggering 1536 GB of GPU memory and 160 vCPUs. The platform operates on a pay-as-you-go model linked to a payment method and offers initial complimentary hours, like 25 hours for qualifying developers, to facilitate hardware prototyping. Importantly, users maintain complete ownership of their projects, allowing them to upload code, data, and software freely without relinquishing any rights. Furthermore, this seamless access empowers developers to innovate rapidly and explore new possibilities in their respective fields.

Yuan Jhen DevOps is a comprehensive cloud solution that revolutionizes development and deployment. DevOps PaaS allows developers and DevOps to easily create, update and deploy applications, as well as run and manage them without having to deal with the underlying infrastructure or operating systems. Instantly deploy apps to various environments including Java, PHP. Ruby, Node.js.,.NET, Python and Go. We also provide pre-configured clusters that are compatible with popular programs such as WordPress, Magento and MySQL.

IBM® Db2® Warehouse delivers a client-managed, preconfigured data warehouse solution that functions effectively within private clouds, virtual private clouds, and various container-supported environments. This platform is crafted to serve as the perfect hybrid cloud option, enabling users to retain control over their data while benefiting from the flexibility typically associated with cloud services. Featuring integrated machine learning, automatic scaling, built-in analytics, and both SMP and MPP processing capabilities, Db2 Warehouse allows businesses to integrate AI solutions more swiftly and effortlessly. You can set up a pre-configured data warehouse in just minutes on your chosen supported infrastructure, complete with elastic scaling to facilitate seamless updates and upgrades. By implementing in-database analytics directly where the data is stored, enterprises can achieve quicker and more efficient AI operations. Moreover, with the ability to design your application once, you can transfer workloads to the most suitable environment—be it public cloud, private cloud, or on-premises—while requiring little to no modifications. This flexibility ensures that businesses can optimize their data strategies effectively across diverse deployment options.

Deploy your code to production seamlessly and rapidly with Koyeb, allowing you to enhance backend applications using top-tier hardware at the edge. By linking your GitHub account to Koyeb, you can effortlessly select a repository for deployment while we handle the underlying infrastructure. Our platform simplifies the process of building, deploying, running, and scaling your application without any setup required. Just push your code, and we will take care of the rest, implementing swift continuous deployment for your app. With built-in native versioning for all your deployments, you can innovate without fear. Create Docker containers, host them on any registry, and deploy your latest version globally with a single API call. Collaborate with your team effectively, enjoying real-time previews after each push thanks to our integrated CI/CD features. The Koyeb platform empowers you to mix and match various languages, frameworks, and technologies, allowing you to deploy any application without the need for changes, owing to its native compatibility with widely-used languages and Docker containers. Koyeb automatically detects and builds applications written in Node.js, Python, Go, Ruby, Java, PHP, Scala, Clojure, and many others, ensuring a seamless deployment experience. With Koyeb, you have the freedom to innovate and scale without limitations.

Deep Learning Containers consist of Docker images that come preloaded and verified with the latest editions of well-known deep learning frameworks. They enable the rapid deployment of tailored machine learning environments, eliminating the need to create and refine these setups from the beginning. You can establish deep learning environments in just a few minutes by utilizing these ready-to-use and thoroughly tested Docker images. Furthermore, you can develop personalized machine learning workflows for tasks such as training, validation, and deployment through seamless integration with services like Amazon SageMaker, Amazon EKS, and Amazon ECS, enhancing efficiency in your projects. This capability streamlines the process, allowing data scientists and developers to focus more on their models rather than environment configuration.

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

PAIO is a Personal AI Operator platform designed to facilitate the rapid deployment of a robust AI assistant built on OpenClaw/Moltbot, eliminating the typical challenges associated with self-hosting and extensive manual setup. With a user-friendly hosted dashboard, it enables you to launch and oversee your AI agent within minutes, sparing you the hassle of dealing with Docker containers, command-line setups, or various technical dependencies. The platform prioritizes user privacy and data security by implementing a “Bring Your Own Key (BYOK)” model, ensuring that your credentials and keys remain under your control while the operator functions securely. It features an initial version of ClawdBot, known as “Moltbot,” which comes pre-configured with popular integrations such as calendar, email, and notes, allowing you to start automating tasks and engaging with your AI almost immediately. Furthermore, PAIO's future development plans include expanding its capabilities to create a more comprehensive operational platform that can manage a larger portion of your digital life, all while safeguarding your personal information from unnecessary exposure. This commitment to privacy and ease of use makes PAIO an appealing choice for those looking to harness the power of AI without the typical technical hurdles.

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.

Explorer enables seamless navigation of your servers, mimicking the experience of using a personal computer. You can edit, cut, copy, paste, rename, create, and delete files effortlessly in real-time! With Docker, you gain comprehensive oversight of your docker containers, images, volumes, and networks through an easy-to-use interface. Meanwhile, the Monitor feature allows you to keep track of your CPU, RAM, and the processes active on your instances. The SOCKS Proxy Tunnel feature routes all your internet traffic through your server, eliminating the need to adjust your VPC's firewall settings or whitelist your IP address, as you can conveniently access your VPC like you're directly on your remote server. Additionally, you can write and execute scripts across all your servers simultaneously, streamlining your workflow. The Services Manager lets you control all services on your server, allowing you to start, stop, restart, and review logs for any active service. You also have the capability to execute git commands in any directory of your choice. Lastly, CloudSync facilitates the storage and synchronization of credentials across various devices, enabling easy access to servers through shared permissions. This comprehensive suite of tools significantly enhances server management and user convenience.

The INDAS inVIEW IIoT Platform is a cloud-based solution designed for overseeing, controlling, and collecting data from remote projects. It facilitates the visualization and management of various automated processes or applications via web browsers while also enabling data collection from automation systems or IoT devices. This platform is versatile enough to be employed across industrial, residential, infrastructure, and home automation sectors. Utilizing the cloud-hosted inVIEW WebSCADA software, the inVIEW IIoT Platform supports your needs for remote supervision, control, and data acquisition in a seamless manner. Users can develop and manage their projects using a robust cloud infrastructure, ensuring all costs are transparent from the outset. When leveraging the inVIEW IIoT Platform, one can visualize data and design or modify projects using just a web browser on any device without the need for additional software, add-ons, or plug-ins, making it incredibly user-friendly and efficient. Moreover, this capability allows for increased flexibility and accessibility, empowering users to manage their operations from virtually anywhere.

Our centralized, hardware-agnostic platform for edge management will help you to drive efficiency and scale. Platform designed to give industrial edge teams and enterprise teams better visibility and access over their edge devices, data and applications. Visualize data across all sites and centrally distribute applications to maximize exponential opportunities. Drive operational efficiency by using deployment templates, and send secure updates over the air to scale IIoT quickly. Create templates for rapid deployment of IIoT devices to tens or even hundreds of sites. Easily deploy large-scale IIoT deployments to all your sites. Remote management, troubleshooting, and over-the air updates streamline maintenance. Use Litmus Edge Manager to manage the entire edge lifecycle.

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

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

The NVIDIA GPU-Optimized AMI serves as a virtual machine image designed to enhance your GPU-accelerated workloads in Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). By utilizing this AMI, you can quickly launch a GPU-accelerated EC2 virtual machine instance, complete with a pre-installed Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, all within a matter of minutes. This AMI simplifies access to NVIDIA's NGC Catalog, which acts as a central hub for GPU-optimized software, enabling users to easily pull and run performance-tuned, thoroughly tested, and NVIDIA-certified Docker containers. The NGC catalog offers complimentary access to a variety of containerized applications for AI, Data Science, and HPC, along with pre-trained models, AI SDKs, and additional resources, allowing data scientists, developers, and researchers to concentrate on creating and deploying innovative solutions. Additionally, this GPU-optimized AMI is available at no charge, with an option for users to purchase enterprise support through NVIDIA AI Enterprise. For further details on obtaining support for this AMI, please refer to the section labeled 'Support Information' below. Moreover, leveraging this AMI can significantly streamline the development process for projects requiring intensive computational resources.

SaaS Boilerplate is the developer’s way out of the vicious circle of redeveloping dull and repetitive features. Never waste time on building features every SaaS includes. 5 SaaS' features in the 1 package. SaaS features' are ready to go: - Authorization (including OAuth and email verification), - Emails (templates and scheduling); - Payments (integration with Stripe services and its dashboard), - CMS integration with Contentful services, - Subscriptions. SaaS Boilerplate is developed by Apptension. Apptension is a digital product design and software development company established in Poland. Among its partners are Netflix, Viu, Less, Hoover Technology - Backend (Python, Django, Postgresql, Docker); - Frontend (React, Redux, Typescript, JSX); - Integrations (Contentful, Stripe, Sentry). SaaS Boilerplate by Apptension gives you a developer-friendly, AWS-based scalable infrastructure and pre-configured CI/CD. Check all features, infrastructure, CI/CD model, documentation, pricing, and case study. Have a questions, ask questions.

Stratus5 offers a powerful platform for managing, automating, and monetizing applications in the cloud. By equipping developers with a robust solution, Stratus5 facilitates the deployment, scaling, and monetization of cloud applications effectively. Utilizing cutting-edge Docker technology and advanced container management, it stands out as one of the most sophisticated orchestration systems tailored for SaaS applications. The user-friendly dashboard comes equipped with essential white-label tools necessary for successfully monetizing SaaS offerings. Stratus5 takes the hassle out of cloud management across all major cloud providers, while also allowing users to utilize their own cloud solutions. With Stratus5, you can effortlessly deploy your applications to any server. Furthermore, the platform automates the deployment and monetization processes for any application that operates within a Docker container, encompassing popular open-source solutions like WordPress and more. This all-in-one approach not only streamlines operations but also enhances revenue potential for developers and businesses alike.

Depot is an innovative cloud-based platform that enhances software development processes by significantly decreasing the time it takes to generate container images and manage continuous integration pipelines. By substituting conventional local or CI-driven Docker builds with remote container builds carried out on robust cloud infrastructure, it empowers developers to execute the same build commands while delegating computationally intensive operations to specialized remote machines. With the Depot CLI, developers can effortlessly switch from docker build to depot build, leveraging Depot's infrastructure that features high-performance CPUs, rapid networking, and persistent storage specifically designed for build tasks. Additionally, it facilitates native multi-platform builds accommodating both Intel and ARM architectures without the drawbacks of slow emulation, which allows teams to create container images for various environments more efficiently. This streamlined approach not only accelerates development cycles but also enhances collaboration among team members working across different platforms.