Overview

Production monitoring of the stevedunn/intellenum project involves implementing logging, diagnostics, and analysis features that facilitate error tracking and performance insights. Monitoring production environments is critical to understanding application health and ensuring quick responses to issues.

Step 1: Setup Logging Framework

To effectively monitor the application, integrate a logging framework supported by .NET.

Code Example to Setup Logging

Include the following NuGet packages in your project:

Microsoft.Extensions.Logging
Microsoft.Extensions.Logging.Console

Next, create a logger instance for logging to the console using the following C# code snippet:

using Microsoft.Extensions.Logging;

using var loggerFactory = LoggerFactory.Create(builder =>
{
    builder.AddConsole();
});

ILogger logger = loggerFactory.CreateLogger<Program>();

Usage of Logger

Use the logger instance to log information across various parts of your application:

logger.LogInformation("Application started.");

This information will be logged to the console, enabling real-time monitoring.

Step 2: Implement Diagnostic Analyzers

To enhance code quality and ensure adherence to standards, implement diagnostic analyzers. Diagnostic results should be monitored in production to catch potential issues early.

Code Example for Analyzing Diagnostics

You can set up a project builder to include diagnostic analyzers. Here’s an example:

public ProjectBuilder WithAnalyzer(DiagnosticAnalyzer diagnosticAnalyzer, string? id = null, string? message = null)
{
    DiagnosticAnalyzers.Add(diagnosticAnalyzer);
    DefaultAnalyzerId = id;
    DefaultAnalyzerMessage = message;
    return this;
}

To get the diagnostics from the project:

var finalDiags = outputCompilation.GetDiagnostics();

This will allow you to monitor all diagnostics and act on them.

Step 3: Configuration Management with Build Scripts

Using build scripts, you can define various levels of verbosity and manage build configurations. The following PowerShell script is an example of how to set up a build process:

Code Example for Build Script

In Build.ps1, utilize the following parameters:

param($verbosity = "minimal", $buildConfig = "Release")  # Options: quite|q, minimal|m, normal|n, detailed|d

function WriteStage([string]$message)
{
    Write-Host "############################################" -ForegroundColor Cyan
    Write-Host "**** " $message -ForegroundColor Cyan
    Write-Host "############################################" -ForegroundColor Cyan
    Write-Output ""
}

Version Handling in Builds

This function can also manage versioning through unique patch identifiers:

function Get999VersionWithUniquePatch()
{
    $date1 = Get-Date("2022-10-17");
    $date2 = Get-Date;
    $patch = [int64]($date2 - $date1).TotalSeconds
    return "999.9." + $patch;
}

Step 4: Running in Docker

Ensure that the logging and diagnostics are properly configured within a Docker environment. Below is an example of how to set up a Docker container that executes the build script:

Code Example for Dockerfile

The following Dockerfile sets up the environment:

FROM mcr.microsoft.com/dotnet/sdk:7.0

COPY . .

ENTRYPOINT ["powershell.exe", "./Build.ps1"]

This configuration ensures that your application runs with appropriate logging enabled, allowing you to monitor it effectively in production.

Conclusion

Implementing a robust production monitoring setup in stevedunn/intellenum involves effective use of logging frameworks, diagnostic analyzers, and build scripts, all orchestrated to function seamlessly within a Docker environment. This structured approach will help maintain application health and facilitate quick issue resolution.