Sauce Labs
Sauce Labs is the largest continuous testing cloud in the world for web and mobile apps. This gives development teams from the top digital brands the ability to deliver apps faster, without compromising on quality. With extensive device and testing coverage, streamlined beta distribution, best-in class error monitoring, and constant feedback loops during your app development cycle, you can release better mobile apps faster. Your mobile apps will always work in real-world scenarios on any device and browser. Sauce Labs' end-to-end solutions for mobile quality enable organizations to deliver mobile apps in a modern era of DevOps driven development. They can achieve quality and speed at all stages of app development - from conception to production. We have you covered, no matter what your testing needs are, the application type you're developing, or your role within the mobile SDLC.
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Innoslate
SPEC Innovations’ leading model-based systems engineering solution is designed to help your team minimize time-to-market, reduce costs, and mitigate risks, even with the most complex systems. Available as both a cloud-based and on-premise application, it offers an intuitive graphical user interface accessible through any modern web browser.
Innoslate's comprehensive lifecycle capabilities include:
• Requirements Management
• Document Management
• System Modeling
• Discrete Event Simulation
• Monte Carlo Simulation
• DoDAF Models and Views
• Database Management
• Test Management with detailed reports, status updates, results, and more
• Real-Time Collaboration
And much more.
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Azure IoT Central
Azure IoT Central offers robust security, scales alongside your business growth, ensures that your investments yield consistent returns, and works harmoniously with your current business applications. By utilizing IoT Plug and Play, you can develop scalable solutions more efficiently. The open modeling language simplifies device interactions within IoT solutions, facilitating a smooth device-to-cloud integration experience while also minimizing development time, costs, and complexity. Device Builders have the capability to create devices that seamlessly connect with any Azure IoT cloud solution, while Solution Builders can expedite their projects without the need for embedded code. It's crucial to think about how your IoT solutions will evolve as your needs change and to prioritize the protection of your data both on devices and in the cloud. Azure IoT Central stands out as the sole app platform designed with the characteristics of highly secure and scalable IoT solutions. By taking advantage of our expanding range of IoT app templates tailored for prevalent industry scenarios, you can gain a competitive edge and revolutionize your business operations. Embrace the future of IoT and transform your strategies to better align with emerging technologies.
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AWS IoT
There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.
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