Docker
Docker takes away repetitive, mundane configuration tasks and is used throughout the development lifecycle for fast, easy and portable application development, desktop and cloud. Docker’s comprehensive end-to-end platform includes UIs, CLIs, APIs and security that are engineered to work together across the entire application delivery lifecycle. Get a head start on your coding by leveraging Docker images to efficiently develop your own unique applications on Windows and Mac. Create your multi-container application using Docker Compose. Integrate with your favorite tools throughout your development pipeline, Docker works with all development tools you use including VS Code, CircleCI and GitHub. Package applications as portable container images to run in any environment consistently from on-premises Kubernetes to AWS ECS, Azure ACI, Google GKE and more. Leverage Docker Trusted Content, including Docker Official Images and images from Docker Verified Publishers.
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Drone
Configuration as a code. Pipelines are configured with a simple, easy‑to‑read file that you commit to your git repository. Each pipeline step is executed inside an isolated Docker container that is automatically downloaded at runtime. Any source code manager. Drone integrates seamlessly with multiple source code management systems, including GitHub, GitHubEnterprise, Bitbucket, and GitLab. Any platform. Drone.io natively supports multiple operating systems and architectures, including Linux x64, ARM, ARM64 and Windows x64. Any language. Drone works with any language, database or service that runs inside a Docker container. Choose from thousands of public Docker images or provide your own. Create and share plugins. Drone uses containers to drop pre‑configured steps into your pipeline. Choose from hundreds of existing plugins, or create your own. Drone makes advanced customization easy. Implement custom access controls, approval workflows, secret management, yaml syntax extensions& more.
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Google Deep Learning Containers
Build your deep learning project quickly on Google Cloud:
Quickly prototype with a portable and consistent environment for developing, testing, and deploying your AI applications with Deep Learning Containers. These Docker images use popular frameworks and are performance optimized, compatibility tested, and ready to deploy. Deep Learning Containers provide a consistent environment across Google Cloud services, making it easy to scale in the cloud or shift from on-premises. You have the flexibility to deploy on Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm.
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IronFlock
IronFlock is industrial middleware: it connects machines, PLCs, and sensors, and makes their data usable through apps, dashboards, and AI — live in days instead of months.
Built-in AI assistant: ask about production data in plain language and generate dashboards from a single conversation. No-code SCADA, dashboards, and alarms. Ready-made apps from the App Store, or build your own — Docker, Git, cloud IDE, open standards, no lock-in.
For machine builders (OEMs): built-in billing lets you sell apps to your customers and push updates across the fleet. Free to start on the cloud edition; unlimited projects, devices, and users. Runs in the cloud, on-premise, or on an appliance. Designed around EU Data Act, NIS2, ISO 27001, and IEC 62443. Built by IronFlock GmbH, Frankfurt, Germany.
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