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  • 1
    bombardier

    bombardier

    Fast cross-platform HTTP benchmarking tool written in Go

    bombardier is an HTTP(S) benchmarking tool. It is written in Go programming language and uses excellent fast HTTP instead of Go's default HTTP library, because of its lightning-fast performance. With bombardier v1.1 and higher, you can now use the net/HTTP client if you need to test HTTP/2.x services or want to use a more RFC-compliant HTTP client.
    Downloads: 9 This Week
    Last Update:
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  • 2
    plow

    plow

    A high-performance HTTP benchmarking tool

    Plow is an HTTP(S) benchmarking tool, written in Golang. It uses excellent fast HTTP instead of Go's default net/http due to its lightning-fast performance. Plow runs at specified connections (option -c) concurrently and real-time records summary statistics, histogram of execution time and calculates percentiles to display on Web UI and terminal. It can run for a set duration( option -d), for a fixed number of requests(option -n), or until Ctrl-C is interrupted.
    Downloads: 0 This Week
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  • 3
    EGO

    EGO

    A simple and component-based microservice kit for go

    EGO is a microservice-oriented governance framework implemented by golang, which integrates various engineering practices. Through the component-based design pattern, it is guaranteed that the business development can use various components in a unified way. For us engineers to improve component proficiency, we must first read a lot of open-source component documentation and code, and then insist on using it for a long time in order to form muscle memory and improve our speed of doing...
    Downloads: 0 This Week
    Last Update:
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  • 4
    faasd

    faasd

    A lightweight & portable faas engine

    faasd is OpenFaaS reimagined but without the cost and complexity of Kubernetes. It runs on a single host with very modest requirements, making it fast and easy to manage. Under the hood it uses containers and Container Networking Interface (CNI) along with the same core OpenFaaS components from the main project. To deploy microservices and functions that you can update and monitor remotely. When you don't have the bandwidth to learn or manage Kubernetes. To deploy embedded apps in IoT and edge use-cases. ...
    Downloads: 0 This Week
    Last Update:
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