A comprehensive managed compute platform designed to rapidly and securely deploy and scale containerized applications. Developers can utilize their preferred programming languages such as Go, Python, Java, Ruby, Node.js, and others. By eliminating the need for infrastructure management, the platform ensures a seamless experience for developers. It is based on the open standard Knative, which facilitates the portability of applications across different environments. You have the flexibility to code in your style by deploying any container that responds to events or requests. Applications can be created using your chosen language and dependencies, allowing for deployment in mere seconds. Cloud Run automatically adjusts resources, scaling up or down from zero based on incoming traffic, while only charging for the resources actually consumed. This innovative approach simplifies the processes of app development and deployment, enhancing overall efficiency. Additionally, Cloud Run is fully integrated with tools such as Cloud Code, Cloud Build, Cloud Monitoring, and Cloud Logging, further enriching the developer experience and enabling smoother workflows. By leveraging these integrations, developers can streamline their processes and ensure a more cohesive development environment.
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Edgefinity IoT is an enterprise RFID and real-time tracking platform that helps organizations gain greater visibility into the people, products, assets, and processes moving throughout their operations. By connecting RFID readers, sensors, and other IoT devices, Edgefinity IoT automatically captures critical data and transforms it into real-time operational insight.
Organizations can track inventory, assets, tools, equipment, work-in-process, and personnel while using configurable rules, alerts, facility maps, and reporting to automate workflows and respond quickly to important events. From inventory and asset tracking to manufacturing visibility, order verification, safety, and mustering, Edgefinity IoT supports a wide range of RFID applications from a single platform.
With a hardware-agnostic architecture and cloud or on-premise deployment options, Edgefinity IoT can grow from a targeted RFID deployment into a scalable, enterprise-wide visibility platform.
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FreeRTOS
Created through a partnership with leading chip manufacturers over a period of 15 years, FreeRTOS is currently downloaded roughly every 170 seconds and is recognized as a premier real-time operating system (RTOS) designed specifically for microcontrollers and small microprocessors. It is freely accessible under the MIT open source license and features a core kernel along with a growing suite of IoT libraries that serve various sectors. Emphasizing reliability and ease of use, FreeRTOS has garnered a reputation for its robust performance, lightweight design, and broad compatibility with numerous devices, making it the preferred choice for microcontroller and small microprocessor solutions among major global companies. Users benefit from a variety of pre-configured demos and IoT reference integrations, which facilitate straightforward project setups, thus allowing for rapid downloading, compiling, and quicker market entry. This efficient approach not only streamlines development but also supports faster innovation cycles. Additionally, the ecosystem of partners provides a wide array of options, bridging community-driven initiatives with professional support, ensuring users have the vital resources necessary for their success. As the landscape of technology evolves, FreeRTOS is dedicated to continually adapting and enhancing its features to address the shifting needs of the industry, proving its resilience and relevance in a dynamic environment. Moreover, its ongoing commitment to innovation positions it as a key player in the future of real-time operating systems.
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balenaEngine
BalenaEngine is a tailored container engine crafted for embedded systems and Internet of Things (IoT) applications, leveraging technology from Docker's Moby Project. Remarkably, it is 3.5 times smaller than Docker CE and is provided as a single binary file. This engine supports a wide array of chipset architectures, accommodating devices ranging from compact IoT solutions to larger industrial gateways. It facilitates bandwidth-efficient updates through binary diffs, which can be dramatically smaller—10 to 70 times—than the conventional method of downloading layers in various scenarios. To prevent excessive disk writes and reduce the risk of storage corruption, it extracts layers upon reception. Furthermore, its atomic and durable image pulls protect against incomplete container downloads during unexpected power loss. The design also alleviates page cache thrashing during image pulls, ensuring that applications can operate seamlessly even in environments with limited memory. In conclusion, balenaEngine stands out as a cutting-edge solution that not only supports Docker containers but also significantly improves bandwidth efficiency for container updates, making it an excellent option for developers focused on achieving reliability and efficiency in their IoT and embedded system projects. Its robust features and thoughtful design are tailored to meet the demanding requirements of modern applications.
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