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    Sre Stack: Deploy App To Cloud And Observability System

    Posted By: ELK1nG
    Sre Stack: Deploy App To Cloud And Observability System

    Sre Stack: Deploy App To Cloud And Observability System
    Published 3/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.56 GB | Duration: 2h 16m

    Grow your experience in Cloud / Devops / SRE by learning how to deploy Web Apps to Cloud and Build Observability Systems

    What you'll learn

    Knowledge and Hands-On Skills on Building Linux Daemon Services

    Knowledge and Hands-On Skills on Gunicorn and Deploying as a Linux Service

    Knowledge and Hands-On Skills on NGINX and Deploying as a Linux Service

    Knowledge and Hands-On Skills on Deploying Flask Application to AWS EC2

    Knowledge and Hands-On Configuration and Deployment Skills for Node Exporter

    Knowledge and Hands-On Configuration and Deployment Skills for Prometheus

    Knowledge and Hands-On Configuration and Deployment Skills for Grafana

    Knowledge and Hands-On Configuration and Deployment Skills for AlertManager

    Knowledge and Hands-On Integration Build for Prometheus - Node Exporter - Grafana and AlertManager

    Requirements

    Basic to intermediate knowledge on linux systems, python and cloud technology

    Description

    Welcome to my e-course about a project based learning approach for deploying Web Applications to Cloud and Building an Observability System for it! In this course, you'll embark on a very exciting journey to learn the essential foundational knowledge and gain hands-on practical skills and knowledge of deploying applications to the cloud with confidence and develop a robust observability system.We'll start by delving into the deployment of our Flask Web Applications to cloud. And then, we'll discuss the fundamentals of each Observability components, exploring how they revolutionize the way we design, deploy, and maintain scalable and reliable systems. You'll gain a deep understanding of the key concepts, the advantages and the necessary concepts of how our components work.Next, for each of the component in the stack, you'll learn how to install, configure and do some troubleshooting for potential issues that may arise on each procedures.Lastly, we'll proceed to a comprehensive simulation of issue scenarios that will test our observability system.Throughout the course, you'll follow hands-on tutorials and real-world examples, giving you the practical experience you need to succeed in today's fast-paced technology landscape. By the end of this course, you'll have the knowledge and skills to confidently deploy applications to the cloud and build resilient observability systems that keep your systems running smoothly, no matter the scale.

    Overview

    Section 1: Introduction

    Lecture 1 Instructor Introduction

    Lecture 2 Course Coverage

    Lecture 3 Course Relevance

    Section 2: Cloud Deployment of a Web Application

    Lecture 4 What is Gunicorn and NGINX?

    Lecture 5 Cloud Deployment Steps - High Level

    Lecture 6 Create a Cloud Server in AWS

    Lecture 7 Actual Deployment of Web App to AWS Cloud Server

    Section 3: Observability System Build

    Lecture 8 Observability System Architecture

    Lecture 9 What is Prometheus and Node Exporter?

    Lecture 10 Deploying Node Exporter to Flask App Machine

    Lecture 11 Deploying Prometheus Service on Observability Machine

    Lecture 12 What is Grafana?

    Lecture 13 Deploying a Grafana Service on Observability Machine

    Lecture 14 What is AlertManager?

    Lecture 15 Deploying an AlertManager Service on Observability Machine

    Lecture 16 Create Password for Gmail

    Section 4: Issue Scenario Simulation for Observability System Testing

    Lecture 17 Alerting and Monitoring: One Cloud Server is Down

    Lecture 18 Alerting and Monitoring: CPU Utilization has Breached the Threshold

    Section 5: Conclusion

    Lecture 19 Conclusion

    System Administrator,System Engineer,Technical Support Engineer,Software Engineer,Python Developer,SRE,Devops Engineer,Cloud Engineer