Showing 4 open source projects for "frameworks"

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    Sentinel

    Sentinel

    Lightweight, powerful flow control component

    Sentinel is a powerful flow control component that ensures the reliability and monitoring of microservices by taking “flow” as the breakthrough point. It covers multiple fields including flow control, concurrency limiting, circuit breaking, and adaptive system protection.
    Downloads: 10 This Week
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  • 2
    Seata

    Seata

    An easy-to-use, high-performance distributed transaction solution

    Seata, or Simple Extensible Autonomous Transaction Architecture is an open source distributed transaction solution that brings high performance and easy-to-use distributed transaction services under a microservices architecture. It has 3 basic components: a Transaction Coordinator for maintaining the status of global and branch transactions; a Transaction Manager that defines the scope of global transaction; and a Resource Manager that manages resources being worked on by branch...
    Downloads: 0 This Week
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  • 3
    react-native-fcm

    react-native-fcm

    react native module for firebase cloud messaging

    ...If you are using RN < 0.30.0 and react-native-fcm < 1.0.16, pass intent into package, edit MainActivity.java. Import libraries, add Capabilities (background running and push notification), upload APNS and etc. Put frameworks under ios/Frameworks folder, and drag those files into your xcode solution. Make sure the file is not just moved into the folder. You need to Right Click the project folder in XCode and Add File to <Project Name>. Select Copy if needed in the Options page while selecting the file.
    Downloads: 0 This Week
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  • 4
    Seldon Server

    Seldon Server

    Machine learning platform and recommendation engine on Kubernetes

    Seldon Server is a machine learning platform and recommendation engine built on Kubernetes. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production. Seldon Core is a progression of the goals of the Seldon-Server project but also a more...
    Downloads: 0 This Week
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