Step up your coding with Continuous Feedback

Step up your coding with Continuous Feedback, available at $19.99, has an average rating of 4.5, with 3 lectures, based on 14 reviews, and has 372 subscribers.

You will learn about How to collect important information about your code Tracing fundamentals and comparison to debugging Using observability data to improve your code OSS and free toolings This course is ideal for individuals who are Software developers (senior and junior) interested in standing out with new skills and practices It is particularly useful for Software developers (senior and junior) interested in standing out with new skills and practices.

Enroll now: Step up your coding with Continuous Feedback

Summary

Title: Step up your coding with Continuous Feedback

Price: $19.99

Average Rating: 4.5

Number of Lectures: 3

Number of Published Lectures: 3

Number of Curriculum Items: 3

Number of Published Curriculum Objects: 3

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Who Should Attend

Target Audiences

What do you know about the code changes that were just introduced into the codebase? When will you notice if something goes wrong?

Continuous Feedback is a new dev practice that aims to make practical usage of code runtime data to shorten the feedback loop during development. OpenTelemetry makes it possible with great library support and a standard spec for tracing, metrics, and more.

By practicing CF, developers can increase productivity with shorter feedback loops. Getting access to data about their code much earlier, detecting and resolving issues in shorter iterations, as-they-code.

In this course, we’ll look past the novelty of using OSS observability tools and technologies, to discuss how we can actually make them useful for developers. We’ll look at the benefits of enabling OpenTelemetry collection for dev and test data and examine OSS tools to help analyze the application runtime. Throughout the talk, we’ll go over code examples of common anti-patterns, code smells, hidden errors, and other types of problems that this untapped source of data can reveal.

Ultimately, the goal should not be simply observing the application or creating nice-looking dashboards. Rather, success is in leveraging observability data in order to achieve a more effective dev process and write better code.

Course Curriculum

Chapter 1: Introduction

Lecture 1: What is Continuous Feedback and why should developers care?

Lecture 2: Not an OTEL 101: Getting info about code

Chapter 2: Not without a Trace: Using observability when coding

Lecture 1: From manual observability to Continous Feedback

Instructors

Roni Dover
Software builder

Rating Distribution

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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