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Observability In Cloud Native Apps Using Opentelemetry


Observability In Cloud Native Apps Using Opentelemetry
Observability In Cloud Native Apps Using Opentelemetry
Published 8/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.67 GB | Duration: 2h 23m


Mastering OpenTelemetry with Jaeger and Prometheus to have Observability to your cloud native apps

What you'll learn

Understand OpenTelemetry core concepts

Learn OpenTelemetry architecture

Implement OpenTelemetry on demo application

Deploy the OpenTelemetry stack

Practice OpenTelemetry best practices

Learn about OpenTelemetry ecosystem

Requirements

Basic software development knowledge

Basic understanding of distributed systems

Description

Welcome to "Observability in Cloud Native Apps using OpenTelemetry"! In this comprehensive course, designed specifically for software engineers, DevOps, and SREs, you will embark on a journey to master the art of observability in modern cloud-native applications using industry-leading tools such as OpenTelemetry, Jaeger, and Prometheus.Observability is a critical aspect of managing and maintaining the performance, reliability, and overall health of complex cloud-native applications. In this hands-on course, you will gain the knowledge and practical skills necessary to enhance your applications' observability, enabling you to diagnose, troubleshoot, and optimize their performance with confidence.Course Highlights:Understanding Observability Fundamentals: Delve into the core concepts of observability, exploring the importance of metrics, traces, and logs in gaining insights into the behavior of cloud-native applications.Deep dive into OpenTelemetry: Learn how to instrument your applications using OpenTelemetry, a powerful and flexible open-source framework that provides standardized APIs for capturing traces, metrics, and logs. Discover how to integrate OpenTelemetry into your application's codebase seamlessly.Hands-On Project: Put your knowledge into practice with a hands-on demo project that simulates real-world scenarios. Create and analyze traces with Jaeger, set up metric collection with Prometheus, and integrate OpenTelemetry.Best Practices and Use Cases: Gain insights into industry best practices for observability, including advanced techniques for detecting anomalies, diagnosing issues, and ensuring seamless application scaling.By the end of this course, you will have not only a solid understanding of observability concepts but also the practical skills to implement observability practices effectively using OpenTelemetry, Jaeger, and Prometheus. Whether you are a seasoned software engineer, a DevOps enthusiast, or an SRE striving for excellence, this course will empower you to elevate your cloud-native applications to new heights of reliability, performance, and scalability.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 What is Observability?

Lecture 3 What is OpenTelemetry?

Lecture 4 What's unique about cloud-native apps?

Lecture 5 What is a distributed trace?

Section 2: Installing the OpenTelemetry SDK

Lecture 6 Clone the demo app

Lecture 7 Get to know the demo app

Lecture 8 Install OpenTelemetry

Lecture 9 How distributed traces are made?

Lecture 10 Adding metrics

Lecture 11 Correlating logs with traces

Lecture 12 Creating manual spans

Lecture 13 Setting custom span attributes

Section 3: Configuring the OpenTelemetry SDK

Lecture 14 A dream come true!

Lecture 15 Configure instrumentations

Lecture 16 Debug logs

Lecture 17 Customize resources

Lecture 18 Sampling traces

Lecture 19 Choosing context propagation

Lecture 20 Configuration via environment variables

Lecture 21 Performance tuning

Section 4: The OpenTelemetry collector

Lecture 22 Running the collector

Lecture 23 Adjusting the SDK

Lecture 24 Processors

Lecture 25 Tail sampling

Lecture 26 Debugging the collector

Lecture 27 Should I run my own collector

Software engineers developing in a distributed environment,DevOps & SRE






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