serilog-sinks-seq VS elmah.io

I dont know why you want to use Graylog, but just fyi maybe https://datalust.co/seq is a alternative.

You could use something like Seq to stream all the logs back to you.

Valuable related discussion: https://www.reddit.com/r/devops/comments/13ab0l5/lightweight...

Highlights:

* Grafana and Loki seems to be favorite

* https://datalust.co/seq is the easiest to deploy (single container)

* https://github.com/tstack/lnav CLI based tool

https://datalust.co/seq (my employer) uses a custom database built with Rust. We are about to remove the last C# database code because, as the previous commenter noted, garbage collection and databases don't mix.

Over the next few years I expect we will see a lot of new databases written in Rust.

https://blog.datalust.co/what-will-seq-vnext-look-like-on-th...

I know I’m a little late to the game, but check out Seq. If you use Docker, you can deploy Seq and Seq-input-gelf Docker containers, set gelf as the default logging driver in your daemon.json, and point it at you Seq instance. That’s pretty much it. Seq also accepts a bunch of other log inputs, like Greylog, for things that don’t run in Docker.

There are several popular logging servers that store and process structured log data. The ones I currently know are SigNoz, Seq, New Relic and Kibana. The latter is, in a nutshell, a user interface to visualize Elasticsearch data.

Another for Seq.

Seq for centralized logging in both development and production environments https://datalust.co/seq

Seq has a free option for individuals - https://datalust.co/seq

Elmah is a logging platform for .NET applications with support for other logging frameworks. It allows developers to log errors and other information to a central dashboard for easy monitoring.

elmah.io has support for all log severities (like debug and information). If you are planning to send millions of those message types, it might not be the right solution, though.

Signup here to learn more about elmah.io

There are some popular third-party logging providers such as Serilog, Log4Net, NLog, elmah.io

Everything is done in less than 30 minutes and ready to go to production. Here's an example of a log message stored in elmah.io:

I recently started experimenting with machine learning on elmah.io. I chose ML.NET as the framework and I'm pretty happy with the results so far. The amount of documentation is good but mostly limited to flower detection samples (using the frequently used Iris data set). In this post, I'll share how we implemented anomaly/spike detection and which problems we ran into.