Get/View Memory & CPU usage via NodeJS

Question

I see there are several node packages that allow you to look up a specific process\'s usage, such as https://www.npmjs.com/package/usage

I am trying to get the overa

Answer 1

Of course it is possible. But you'll need a C++ native module to do that. And keep in mind that every OS has their own way of querying system resource usage.

For example, if you're on Windows (which might be what you're looking for since usage doesn't support Windows), you could do something like

performance.cpp

#include <node.h>
#include "performance_algorithm.hpp"

using namespace v8;

void InitAll(Handle<Object> exports) {
    PerformanceAlgorithm::Initialize();
    PerformanceAlgorithm::RegisterMethod(exports);
}

NODE_MODULE(Performance, InitAll)

performance_algorithm.cpp

#include <algorithm>

#include "baton.hpp"
#include "structs.hpp"
#include "performance_algorithm.hpp"

void PerformanceAlgorithm::Initialize() {
    PdhOpenQuery(NULL, NULL, &cpuQuery);
    PdhAddCounter(cpuQuery, "\\Processor(_Total)\\% Processor Time", NULL, &cpuTotal);
    PdhCollectQueryData(cpuQuery);
}

void PerformanceAlgorithm::RegisterMethod(Handle<Object> exports) {
    NODE_SET_METHOD(exports, "getPerformanceData", PerformanceAlgorithm::GetPerformanceDataAsync);
}

void PerformanceAlgorithm::GetPerformanceDataAsync(const FunctionCallbackInfo<Value>& args) {
    Isolate* isolate = Isolate::GetCurrent();
    HandleScope scope(isolate);

    if (args.Length() != 1) {
        isolate->ThrowException(Exception::TypeError(String::NewFromUtf8(isolate, "Wrong number of arguments")));
    } else {
        if (!args[0]->IsFunction()) {
            isolate->ThrowException(Exception::TypeError(String::NewFromUtf8(isolate, "Wrong arguments type")));
        } else {
            Local<Function> callbackFunction = Local<Function>::Cast(args[0]);

            Baton<string, PerformanceData>* baton = new Baton<string, PerformanceData>();
            baton->request.data = baton;
            baton->callbackFunction.Reset(isolate, callbackFunction);

            uv_queue_work(uv_default_loop(), &baton->request, PerformanceAlgorithm::GetPerformanceDataWork, PerformanceAlgorithm::GetPerformanceDataAsyncAfter);
        }
    }
}

void PerformanceAlgorithm::GetPerformanceDataWork(uv_work_t* request) {
    Baton<string, PerformanceData>* baton = static_cast<Baton<string, PerformanceData>*>(request->data);

    baton->result.memory_info.dwLength = sizeof(MEMORYSTATUSEX);
    GlobalMemoryStatusEx(&baton->result.memory_info);

    PDH_FMT_COUNTERVALUE counterVal;
    PdhCollectQueryData(cpuQuery);
    PdhGetFormattedCounterValue(cpuTotal, PDH_FMT_DOUBLE, NULL, &counterVal);
    baton->result.cpu_usage = counterVal.doubleValue;

    DWORD processIDs[1024], bytesReturned;
    EnumProcesses(processIDs, sizeof(processIDs), &bytesReturned);

    DWORD numberOfProcesses = bytesReturned / sizeof(DWORD);
    for (int i = 0; i < numberOfProcesses; i++) {
        HANDLE hProcess = OpenProcess(PROCESS_QUERY_INFORMATION | PROCESS_VM_READ, FALSE, processIDs[i]);

        HMODULE hMods[1024];
        DWORD cbNeeded;
        if (EnumProcessModules(hProcess, hMods, sizeof(hMods), &cbNeeded)) {
            for (int j = 0; j < (cbNeeded / sizeof(HMODULE)); j++) {
                TCHAR szModName[MAX_PATH];
                GetModuleFileNameEx(hProcess, hMods[j], szModName, sizeof(szModName) / sizeof(TCHAR));

                ProcessInfo info;
                info.process_id = processIDs[i];
                info.path = string(szModName);

                baton->result.processes.push_back(info);

                break;
            }
        }

        CloseHandle(hProcess);
    }

    sort(baton->result.processes.begin(), baton->result.processes.end(), [](ProcessInfo a, ProcessInfo b) -> bool {
        return a.process_id < b.process_id;
    });

    GetPerformanceInfo(&baton->result.performance_info, sizeof(PERFORMACE_INFORMATION));
}

void PerformanceAlgorithm::GetPerformanceDataAsyncAfter(uv_work_t* request, int status) {
    Isolate* isolate = Isolate::GetCurrent();
    HandleScope scope(isolate);
    EscapableHandleScope escapableHandleScope(isolate);

    Baton<string, PerformanceData>* baton = static_cast<Baton<string, PerformanceData>*>(request->data);
    Local<Function> callbackFunction = Local<Function>::New(isolate, baton->callbackFunction);

    Local<Object> returnValue = Object::New(isolate);
    returnValue->Set(String::NewFromUtf8(isolate, "cpu_usage"), Number::New(isolate, baton->result.cpu_usage));
    returnValue->Set(String::NewFromUtf8(isolate, "ram_usage"), Number::New(isolate, baton->result.memory_info.dwMemoryLoad));
    returnValue->Set(String::NewFromUtf8(isolate, "total_physical_memory"), Number::New(isolate, baton->result.memory_info.ullTotalPhys));
    returnValue->Set(String::NewFromUtf8(isolate, "available_physical_memory"), Number::New(isolate, baton->result.memory_info.ullAvailPhys));
    returnValue->Set(String::NewFromUtf8(isolate, "total_page_file"), Number::New(isolate, baton->result.memory_info.ullTotalPageFile));
    returnValue->Set(String::NewFromUtf8(isolate, "available_page_file"), Number::New(isolate, baton->result.memory_info.ullAvailPageFile));
    returnValue->Set(String::NewFromUtf8(isolate, "total_virtual"), Number::New(isolate, baton->result.memory_info.ullTotalVirtual));
    returnValue->Set(String::NewFromUtf8(isolate, "available_virtual"), Number::New(isolate, baton->result.memory_info.ullAvailVirtual));

    Local<Array> processes = Array::New(isolate, baton->result.processes.size());
    for (int i = 0; i < baton->result.processes.size(); i++) {
        Local<Object> processInfo = Object::New(isolate);
        processInfo->Set(String::NewFromUtf8(isolate, "process_id"), Number::New(isolate, baton->result.processes[i].process_id));
        processInfo->Set(String::NewFromUtf8(isolate, "path"), String::NewFromUtf8(isolate, baton->result.processes[i].path.c_str()));

        processes->Set(i, processInfo);
    }
    returnValue->Set(String::NewFromUtf8(isolate, "running_processes"), processes);

    const unsigned int argc = 1;
    Handle<Value> argv[argc] = { escapableHandleScope.Escape(returnValue) };
    callbackFunction->Call(isolate->GetCurrentContext()->Global(), argc, argv);

    baton->callbackFunction.Reset();
    delete baton;
}

Answer 2

Check node-os-utils

• CPU average usage
• Free and used drive space
• Free and used memory space
• Operating System
• All processes running
• TTY/SSH opened
• Total opened files
• Network speed (input and output)

var osu = require('node-os-utils')

var cpu = osu.cpu

cpu.usage()
  .then(info => {
    console.log(info)
  })

Answer 3

The native module os can give you some memory and cpu usage statistics.

var os = require('os');

console.log(os.cpus());
console.log(os.totalmem());
console.log(os.freemem())

The cpus() function gives you an average, but you can calculate the current usage by using a formula and an interval, as mentioned in this answer.

There is also a package that does this for you, called os-utils.

Taken from the example on github:

var os = require('os-utils');

os.cpuUsage(function(v){
    console.log( 'CPU Usage (%): ' + v );
});

For information about the disk you can use diskspace

Answer 4

You can also use process.cpuUsage() to return the system and user cpu time in microseconds. It can also calculate the difference to a previous call.

https://nodejs.org/api/process.html#process_process_cpuusage_previousvalue