Learn how to correctly Write, Ship and Analyze Logs using C# .Net, Logstash and Grafana

What you'll learn
How to use Logging infrastructure in C# .Net
How does logging work in Docker Containers
How to use Logstash as a pipeline for digesting logs
Use MySQL to save data
Use Grafana for visibility and alerting
Create a real project for real-life usage

Requirements
Basic knowledge in C# .Net. I’ll try to cover the basics, but you should know how to program in C# (or any other high level language)
REST API - This concept should be familiar with you
Basic Docker knowledge. We’ll run all required applications using docker containers and docker compose. Everything will be explained, but some basic knowledge will help here.
Some SQL knowledge. Highly recommended to have at least some knowledge on databases, tables and queries. Either way, you won’t get stuck if you aren’t familiar with this.

Description
Hi there! My name is JavierI’ve been working as a software engineer for more than ten years.I have a sweet spot for logging and I think it’s a very important aspect of software that mostly gets overseen.In the last few years I’ve been deep diving into logging, and learned how to correctly write, deliver and analyze them.At the end of this course you’ll have a working .Net API Server shipping Logs to a Logstash pipeline and being displayed using Grafana Dashboards.Let’s break this down.In this course you’ll learn:How to write logs in C# .Net Even if C# isn’t your daily programming language, everything I’ll show will be easily projectable to any other programming language and framework.Handling logs when working with Docker Containers - We’ll see how Docker handles the standard output (stdout), how to use docker commands to see the logs and how to configure Docker to ship the logs to wherever we want to.Working with Logstash - A processing pipeline for logs. We’ll see what Logstash is, how we can run it and configure it.Finally, we’ll learn how to use Grafana to display the data, creating dashboards and panels. The data will come from a SQL database that will be popularized using Logstash.We’ll see how easy it is to create alerts on Grafana to notify when something happened according to our logs!