Search Results for "linux memory"
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Showing 3 open source projects for "linux memory"
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ChangeGear provides IT staff with the functions required to manage everything from ticketing to incident, change and asset management and more. ChangeGear includes a virtual agent, self-service portals and AI-based features to support analyst and end user productivity.
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PRTG Network Monitor is an all-inclusive monitoring software solution developed by Paessler. Equipped with an easy-to-use, intuitive interface with a cutting-edge monitoring engine, PRTG Network Monitor optimizes connections and workloads as well as reduces operational costs by avoiding outages while saving time and controlling service level agreements (SLAs). The solution is packed with specialized monitoring features that include flexible alerting, cluster failover solution, distributed monitoring, in-depth reporting, maps and dashboards, and more.
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Milkman
An extensible request/response workbench
Milkman is heavily inspired by Postman. But I got sick of all those electron-based applications that need ages and loads of memory to start up. Therefore, this is a JavaFx-based workbench for crafting requests/responses. It is not limited to e.g. HTTP (or more specifically rest) requests. Due to nearly everything being a plugin, other things are possible, like database requests or GRPC, GraphQl, etc. Request-types (e.g. Http Request), request-aspects (e.g. Headers, Body, etc), editors... -
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Fast Android Networking
A Complete Fast Android Networking Library that also supports HTTP/2
... any type of file, uploading file, loading images from the network in ImageView, etc. There are some libraries but they are outdated. No other library provides a simple interface for doing all types of things in networking like setting priority, canceling, etc. As it uses Okio , No more GC overhead in android applications. Okio is made to handle GC overhead while allocating memory. Okio does some clever things to save CPU and memory. -
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HTTP Kit
Clojure HTTP server/client library with WebSocket support
.../sec on even midrange hardware. Here is another test about how it stacks up with others. It's not only fast, but efficient! Each connection costs nothing but a few kB of memory. RAM usage grows O(n) with connections. Written from the ground-up to be lean, the entire client/server is available as a single ~90kB JAR with zero dependencies and ~3k lines of (mostly Java) code. Synchronous is simple. Asynchronous is fast & flexible.
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