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Practical Debugging at Scale: The Problem with Kubernetes Debugging 

Debug Agent
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Why is it hard to debug or troubleshoot applications running on Kubernetes?
In the 3rd part of the Kubernetes debugging series we delve into the unique challenges posed by this environment such as the ephemeral nature of the pods.
Learn to debug like a senior developer with this comprehensive debugging course. To learn more check out debugagent.com/
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
00:29 kubectl -- exec -ti pod-name
01:24 Can we Install?
02:11 Ephemeral Containers
02:54 kubectl debug
04:43 Ephemeral in Production
05:23 Final Word

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28 июл 2024

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Комментарии : 2   
@sirhenrystalwart8303
@sirhenrystalwart8303 2 месяца назад
This is all so silly. Un-needed restrictions begets ridiculous over complication.
@debugagent
@debugagent 2 месяца назад
Yes. There used to be a website called "do I need Kubernetes" it would always display "No". Kubernetes was designed to solve Google scale problems. This is a real need, but very few of us truly face it. I worked with a few companies who serve as infrastructure for other companies, in such situation downtime would mean a cascading effect that would bring down many sites. In such rare cases Kubernetes restrictions make some sense. Even in the places where it doesn't make sense it became the de-facto standard, and as such we need to know it. For better and worse.
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