Serilog VS Grafana

To learn more about Serilog, you can visit the documentation on their GitHub project. To learn more about Seq, you can visit the documentation on their website.

These projects use dependency injection for connections and have no logging although they are ready to log to the console via SeriLog setup in Program.cs.

See here: https://github.com/serilog/serilog/wiki/Configuration-Basics e.g.

Captured in public static void OnActivated() and note Log is SeriLog.

"Serilog": { "Using": [ "Serilog.Sinks.File" ], "Enrich": [ "WithHttpRequestId", "WithExceptionDetails", "WithClientIp" ], "MinimumLevel": { "Default": "Information" }, "WriteTo": [ { "Name": "File", "Args": { "path": "../../../../../Logs/MyApp/MyApp-.log", "rollingInterval": "Day", "retainedFileCountLimit": "7", "outputTemplate": "[{Timestamp:yyyy-MM-dd HH:mm:ss.fff zzz} {CorrelationId} {Level:u3}] {Username} {Message:lj}{NewLine}{Exception} {Properties:lj}{NewLine}" } } ] } 👆 I got the enricher names from serilog's wiki. The idea was to log the HTTPRequestId, ClientIp, and automagically log the details of every exception thrown (without having to do _logger.LogError(...)). However I don't see those details in the logs. In Program.cs: ``` var logger = new LoggerConfiguration() .ReadFrom.Configuration(builder.Configuration) .Enrich.FromLogContext() .CreateLogger();

You could also write a custom destructuring policy, assuming it's a flurl-specific public exception type and you only need certain properties of it. You'd implement IDestructuringPolicy and then add it to the configuration:

Serilog for logging

I've cloned https://github.com/serilog/serilog and I'm not sure what's going on with the multitargetting in the tests? Does this (below) mean, if the dev's OS is windows, then target framework 462 or 471? What should I do on my laptop, which only has the net6 and fw48 sdk installed?

Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.

Prometheus: Open-source monitoring system. Often used together with Grafana.

Grafana

Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.

So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:

In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana: