Practical introduction to Observability

Practical introduction to Observability
Last updated 12/2023
Duration: 3h35m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.28 GB

Learn how to instrument systems with logs & traces so you can later debug them in production

What you’ll learn
Understand what "Observability" is, and how a software system can be "Observable"
Understand what the major data types (or "Pillars") of Observability are, what the trade-offs are and when to use each
Be able to instrument a "Go" based example application generating Logs & Traces
Be able to use the telemetric data generated to debug different production problems.

Requirements
Know how a HTTP API is implemented in your language of choice.
Be able to read, and ideally write, Go.
Be familiar with deploying software in a cloud environment.

Description
In this course, you’ll learn the fundamental building blog of making systems reliable: making them
observable
.
To help enable you to make this topic practical, we’ll go through examples in Go instrumenting sample applications that you can reproduce on your own Linux (or WSL-based) system. We’ll examine the output of this instrumentation in the terminal or open-source UIs that you can use to learn the concepts. Lastly, we’ll reproduce some failure modes to understand what failure looks like in these tools and give you a wider range of capabilities to debug different production issues.
This course was made for you if you are a mid to senior-level developer with some experience deploying software to production. Still, you’re looking to build the skills and capabilities to run higher-scale services with more traffic and debug these systems when they get into trouble.
Who this course is for:
Developers with 1 – 3 years of experience building application that are deployed to production

More Info