Improving true metrics logging frequency of time-consuming Monitors with MonitorFrequency set at 1 second

[srividyaprasad]

Current Approach:
Asynchronous functions are being used to execute commands independently and their outputs are parsed.
We wait for the command to finish entirely before parsing the output into a table of metrics, which is then saved or pushed to Kusto.
But some commands themselves take a few seconds time to complete.

using (IProcessProxy process = systemManagement.ProcessManager.CreateElevatedProcess(this.Platform, command, $"{commandArguments}", Environment.CurrentDirectory))
{
    this.CleanupTasks.Add(() => process.SafeKill());
    DateTime startTime = DateTime.UtcNow;
    await process.StartAndWaitAsync(cancellationToken).ConfigureAwait(false);
    DateTime endTime = DateTime.UtcNow;
    if (!cancellationToken.IsCancellationRequested)
    {
        try
        {
            process.ThrowIfErrored<MonitorException>(ProcessProxy.DefaultSuccessCodes, errorReason: ErrorReason.MonitorFailed);
            // Only proceed if there is any output
            if (process.StandardOutput.Length > 0)
            {
                // Parse the entire output at once after the process has finished
                AmdSmiQueryGpuParser parser = new AmdSmiQueryGpuParser(process.StandardOutput.ToString());
                IList<Metric> metrics = parser.Parse();
                // Log the metrics if any were found
                if (metrics?.Any() == true)
                {
                    this.Logger.LogPerformanceCounters("amd", metrics, startTime, endTime, telemetryContext);
                }
            }
        }
        catch
        {
            await this.LogProcessDetailsAsync(process, EventContext.Persisted());
            throw;
        }
    }
    await Task.Delay(this.MonitorFrequency).ConfigureAwait(false);
}

Proposed Enhancement:
To improve true logging frequency of metrics, with commands like AMD SMI or NVIDIA SMI that run for multiple GPUs or IPMI tools which outputs all existing sensor metrics line by line, I am proposing to implement a line-by-line parsing mechanism. Instead of waiting for the entire command output to be generated and then parsing it into a table of metrics, can we parse each line/sensor data as it is received, extracting metrics on-the-fly, and saving or pushing these to Kusto directly?

using (IProcessProxy process = systemManagement.ProcessManager.CreateElevatedProcess(this.Platform, command, $"{commandArguments}", Environment.CurrentDirectory))
{
    this.CleanupTasks.Add(() => process.SafeKill());
    DateTime startTime = DateTime.UtcNow;
    process.Start();
    // Process the output line by line as it is generated.
    using (var reader = process.StandardOutput)
    {
        string line;
        while ((line = await reader.ReadLineAsync()) != null)
        {
            // Parse each line and create metrics on-the-fly.
            AmdSmiQueryGpuParser parser = new AmdSmiQueryGpuParser(line);
            IList<Metric> metrics = parser.Parse(); // Adjust Parse method to handle single lines.
            if (metrics?.Any() == true)
            {
                this.Logger.LogPerformanceCounters("amd", metrics, startTime, DateTime.UtcNow, telemetryContext);
            }
        }
    }
    process.WaitForExit();
    if (!cancellationToken.IsCancellationRequested)
    {
        try
        {
            process.ThrowIfErrored<MonitorException>(ProcessProxy.DefaultSuccessCodes, errorReason: ErrorReason.MonitorFailed);
        }
        catch
        {
            await this.LogProcessDetailsAsync(process, EventContext.Persisted());
            throw;
        }
    }
    await Task.Delay(this.MonitorFrequency).ConfigureAwait(false);
}

[srividyaprasad]

Also, want to add that I noticed amd-smi metric command runs faster line-by-line than amd-smi metric --csv or --json as the latter retrieves all info and then gives csv or json output singularly, whereas former retrieves and outputs each metric on the go. So if this enhancement is implemented it can be implemented without --csv.
This can be verified.

And this enhancement would be particularly useful for monitors having huge size of output for 1 command and time it takes to complete.