3 projects for "java metrics" with 2 filters applied:

  • Deploy Apps in Seconds with Cloud Run Icon
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    Cloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
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    $300 in Free Credit Across 150+ Cloud Services

    VMs, containers, AI, databases, storage | build anything. No commitment to start.

    Start your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale with Google Cloud.
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  • 1
    Spring boot starter for gRPC framework

    Spring boot starter for gRPC framework

    Spring Boot starter module for gRPC framework

    Autoconfigures and runs the embedded gRPC server with @GRpcService-enabled beans as part of the spring-boot application. If you are using Spring Boot Dependency Management plugin, it might pull not the same version as the version this started was compiled against, causing binary incompatibility issue.
    Downloads: 0 This Week
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  • 2
    Light-4J

    Light-4J

    A fast, lightweight and more productive microservices framework

    Light means lightweight, lightning-fast and shedding light on how to program with modern Java SE for cloud-native deployment. I had been working on the Java EE platforms since early 2000 and suffered performance and productivity issues. In 2014, I realized that the IT industry was moving from Monolithic to Microservices and from on-premise data centers to the public clouds. To reduce the production cost for my applications, I need to find a lightweight platform that has a small memory...
    Downloads: 0 This Week
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  • 3
    Apache Flink

    Apache Flink

    Stream processing framework with powerful stream

    Apache Flink is a distributed engine for stateful computations over data streams and batches, designed for low-latency processing at scale. Its core runtime executes dataflow graphs with fine-grained backpressure and checkpointing, allowing applications to recover consistently from failures. Flink’s event-time model and watermarks enable accurate out-of-order processing, windowing, and complex time semantics that typical real-time systems struggle with. Developers program against high-level...
    Downloads: 0 This Week
    Last Update:
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