Practical Debugging at Scale: Debugging Kubernetes Intro A - P. 31

In this first part of a two part series we get an introduction to Kubernetes in preparation for a deeper discussion around debugging Kubernetes issues.

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This video is a part of the fourth module covering debugging in the cloud and production. This module focuses on the technologies and challenges posed by production environments. The discussion covers both theory and specific technologies ranging from Kubernetes to Lambda.


By leveraging these tools and techniques you will gain access to the secret weapon of senior developers and consultants. This will make you a better developer and a happier one. Stop treating debugging like throwing out the garbage and treat it as a skill that you should improve.

In the following modules we cover:

* Debugging Theory - Ever spent all night on a bug only to find out it was a "stupid" thing that you missed in the beginning? We all have! There's a systematic process for tracking an issue that reduces the chance of this recurring.

* Code - This isn't a course on coding. You should know how to do that before you start. But how do you write code that's easier to debug? Code that fails in predictable ways. Code whose failures are easy to understand and track. Code that doesn't drain your bank account because it overuses cloud resources.

* Kubernetes - Not only is Kubernetes hostile to debugging, it does that on a scale that creates its own set of problems. Add the complexity of production debugging to the mix and we've got a new set of problems.

* Serverless - Kubernetes has an ephemeral state problem, serverless takes that problem to a completely new level.

* Fullstack - As we chase a bug we need to venture outside our comfort zone. To tiers and tools we might not be as comfortable with. In this module we'll discuss debugging the frontend and the database to create a tongs motion around the bug.

* Observability - Production debugging is really about observability. Yet so many of us leave these tools to the DevOps team. In this module we'll cover these tools from a developer perspective.

The full course includes more than 5 hours of video material.



00:00 Introduction
01:06 I'm not a DevOps Engineer
01:57 Kubernetes Introduction
02:07 History
02:45 Enter Virtualization
03:28 Overhead
03:38 Lacks Standardization
03:48 Enter Containers
04:31 Multiple Images
05:15 Small is Great
05:48 What's Missing?
06:22 Enter Kubernetes
07:25 The Road to Kubernetes
08:59 Final Word