Comprehensive Cloud-Skalierung Tools for Every Need

Get access to Cloud-Skalierung solutions that address multiple requirements. One-stop resources for streamlined workflows.

Cloud-Skalierung

  • Your real-time AWS optimization assistant.
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    What is CloudKeeper Tuner?
    CloudKeeper Tuner is designed to simplify AWS management by offering real-time, contextual optimization insights and personalized recommendations within the AWS console. It helps businesses of all sizes manage their cloud resources efficiently and remove unnecessary costs. With features like instant optimization insights, effortless cost management, and a seamless user experience, CloudKeeper Tuner ensures that cloud optimization becomes a strategic advantage for your organization.
    CloudKeeper Tuner Core Features
    • Real-time optimization insights
    • Contextual recommendations
    • Effortless cost management
    • Automatic integration with AWS console
  • Metaflow is a Python library designed for developing and managing real-life data science projects.
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    What is metaflow.org?
    Metaflow is a Python library that assists data scientists and engineers in building, managing, and scaling real-life data science projects. Originating at Netflix, Metaflow offers streamlined solutions for developing, deploying, and operating various data-intensive applications, particularly those involving machine learning (ML), artificial intelligence (AI), and data science. Offering coherent APIs, it simplifies workflow orchestration, data movement, version tracking, and scaling compute to the cloud, ensuring efficient project development from start to finish.
  • NPI.ai provides a programmable platform to design, test, and deploy customizable AI agents for automated workflows.
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    What is NPI.ai?
    NPI.ai offers a comprehensive platform where users can graphically design AI agents through drag-and-drop modules. Each agent comprises components such as language model prompts, function calls, decision logic, and memory vectors. The platform supports integration with APIs, databases, and third-party services. Agents can maintain context through built-in memory layers, allowing them to engage in multi-turn conversations, retrieve past interactions, and perform dynamic reasoning. NPI.ai includes versioning, testing environments, and deployment pipelines, making it easy to iterate and launch agents into production. With real-time logging and monitoring, teams gain insights into agent performance and user interactions, facilitating continuous improvement and ensuring reliability at scale.
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