Observability is more than a buzzword, it's about a culture of reliability, but how do you get there? Well you need to start with the data, the telemetry signals. Gathering them, curating them, and securely sending them to a backend for visualisation.

In this workshop we'll cover how to implement OpenTelemetry in modern application stacks like .NET, Javascript and Python on the backend. Then we'll dive into how to forward that data into a backend to visualise the data we have.

This is a hands-on workshop where you'll be writing code to implement and curate a telemetry experience for an example application. We'll cover:

* Zero-code instrumentation
* Coded and Automatic instrumentation
* Collector pipelines
* Sampling techniques to manage load and cost
* Generating metrics
* Analysing raw telemetry data

Everything in the workshop will be using free, OpenSource software, so at the end of the workshop you'll be able to implement all your learnings in your company's applications.

For the workshop you'll need:

A Laptop (that can connect to the conference wifi)
Docker installed (or something capable of running Docker Compose)
An IDE you're familiar with for your language*
A text editor (We recommend VSCode)

*Although any language can be used, the examples will be in JS/TS, .NET and Python, limited help can be given for other languages but please reach out ahead of time if you're interested as we may be able to accommodate you.