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    Mastering Argo Rollouts: Progressive Delivery In Kubernetes

    Posted By: ELK1nG
    Mastering Argo Rollouts: Progressive Delivery In Kubernetes

    Mastering Argo Rollouts: Progressive Delivery In Kubernetes
    Published 3/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 3.55 GB | Duration: 7h 42m

    From Basic to Advanced: Achieving Zero-Downtime and Reliable Canary and Blue-Green Deployments Strategy in Kubernetes

    What you'll learn

    Grasp Argo Rollouts Basics: Understand the core concepts and architecture of Argo Rollouts in Kubernetes.

    Deployment Strategies Mastery: Learn to implement blue-green and canary deployments for controlled rollouts.

    Rollout Monitoring Skills: Gain expertise in monitoring and managing rollout processes using Argo Rollouts.

    Rollback Techniques: Acquire the ability to perform effective rollbacks and handle deployment failures.

    Integration with Monitoring Tools: Learn to integrate Argo Rollouts with common monitoring tools for enhanced observability.

    Best Practices for Progressive Delivery: Understand key practices for successful progressive delivery in cloud-native environments.

    Requirements

    Basic Kubernetes Knowledge: Familiarity with Kubernetes concepts such as Pods, Deployments, Services, and YAML configurations is essential.

    Understanding of CI/CD Principles: A fundamental grasp of Continuous Integration and Continuous Deployment (CI/CD) processes will be beneficial.

    Experience with Containerization: Practical experience with container technologies like Docker, as Argo Rollouts is used within a containerized environment.

    Familiarity with Git: Basic knowledge of Git for version control, as code examples and exercises may involve Git operations.

    Command Line Proficiency: Comfort with using command line interfaces (CLI), as many Kubernetes and Argo Rollouts tasks are performed via CLI.

    Optional - Prior Exposure to Argo Workflows: While not mandatory, having some background in Argo Workflows or similar tools can enhance understanding.

    Description

    Dive into the world of Kubernetes with "Mastering Argo Rollouts: Progressive Delivery in Kubernetes." This comprehensive course is designed to equip DevOps professionals, Kubernetes enthusiasts, and software engineers with the skills to implement advanced deployment strategies in Kubernetes using Argo Rollouts. Here's a breakdown of what you'll learn, structured in engaging modules with a focus on both practical and theoretical aspects:Introduction to Kubernetes & Argo RolloutsUnderstanding the Kubernetes EcosystemFundamentals of Kubernetes DeploymentsIntroduction to Argo Rollouts and its importance in modern deploymentsDeploying with Argo RolloutsSetting up Argo Rollouts in your Kubernetes ClusterTransitioning from traditional deployments to Argo RolloutsHands-On Exercises: Deploy your first application using Argo RolloutsAdvanced Deployment StrategiesDeep dive into Canary Releases: Gradually rolling out changes to a subset of usersMastering Blue-Green Deployments: Ensuring zero-downtime during updatesPractical Scenarios: Implementing complex deployment strategiesMonitoring and Automated RollbacksIntegrating with monitoring tools like Prometheus and GrafanaSetting up Automated Rollbacks based on real-time metricsCritical Analysis: Understanding deployment metrics for decision-makingReal-World Applications and Best PracticesApplying Argo Rollouts in production environmentsBest Practices: Ensuring high availability and reliabilityCase Studies: Analysis of successful Argo Rollouts implementationsThroughout the course, emphasis is placed on practical implementation and real-world applicability, ensuring that you not only understand the concepts but also can confidently apply them in your Kubernetes environment. Whether you aim to enhance your DevOps capabilities or master progressive delivery techniques, this course is your gateway to excelling in the cloud-native landscape. Join us to become proficient in managing Kubernetes deployments with efficiency and control.

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Lecture 2 Command Reference Git Repository

    Section 2: Argo Rollout Introduction

    Lecture 3 Argo Rollout Why and Key Features

    Lecture 4 Architecture and Components

    Lecture 5 Argo Rollout Concepts

    Lecture 6 Argo Rollout Controller Features

    Section 3: Argo Rollout Installation

    Lecture 7 Argo Rollout System Requirements

    Lecture 8 Argo Rollout Installation

    Lecture 9 Argo Rollout Specification

    Lecture 10 Argo Rollout Simple Demo

    Lecture 11 Argo Rollout Dashboard

    Section 4: Rollout Strategies

    Lecture 12 Canary Strategy Introduction

    Lecture 13 Blue Green Strategy Introduction

    Section 5: Canary Rollout Strategy

    Lecture 14 Argo Rollout Operation Promote

    Lecture 15 Argo Rollout Promote Manual

    Lecture 16 Argo Rollout Promote Full

    Lecture 17 Argo Rollout Abort

    Lecture 18 Argo Rollout Rollback

    Lecture 19 Argo Rollout Pause and Resume

    Section 6: Rollout Analysis

    Lecture 20 Analysis Introduction

    Lecture 21 Analysis Demo with Mock Metrics

    Lecture 22 Analysis Prometheus Positive Condition

    Lecture 23 Analysis Prometheus Negative Condition

    Lecture 24 Analysis Argument

    Section 7: Rollout Demo Application

    Lecture 25 Access Rollout Service with Proxy

    Lecture 26 Demo Application UI Features

    Lecture 27 Demo with Kustomize

    Lecture 28 Verify Preview Service

    Section 8: Experiments

    Lecture 29 Experiment Introduction

    Lecture 30 Experiment Success Condition

    Lecture 31 Experiment Failure Condition

    Lecture 32 Experiment Success Auto Promotion

    Lecture 33 Experiment Failure Auto Roll Back

    Section 9: Rollout Auto Scaling

    Lecture 34 Metrics Server Addon Introduction

    Lecture 35 Horizontal Pod Auto Scaling Demo

    Lecture 36 HPA Scaling Down Demo

    Section 10: Blue Green Deployment

    Lecture 37 Blue Green Demo

    Lecture 38 Pre Promotion Analysis

    Lecture 39 Post Promotion Analysis

    Lecture 40 Helm Blue Green Rollout

    Lecture 41 Helm Cleanup

    Section 11: Rollout With Istio

    Lecture 42 Istio Introduction

    Lecture 43 Istio Installation

    Lecture 44 Istio Kiali Addon

    Lecture 45 Argo Rollout Istio Implementation

    Lecture 46 Istio Subset Implementation

    Section 12: Environment Setup

    Lecture 47 Setup AWS EC2 Instance with AWS Linux

    Lecture 48 Setup AWS Windows EC2 Instance

    Lecture 49 AWS Resource Pricing Model

    Lecture 50 Minikube Setup in AWS EC2 Instance

    Lecture 51 CentOS VirtualBox Setup

    Lecture 52 VirtualBox GuestAddition

    Lecture 53 Minikube Setup in CentOS

    Lecture 54 Multi Node Kubernetes Setup

    Section 13: Kubernetes Introduction

    Lecture 55 Introduction to Containers

    Lecture 56 Docker Container Demo - Docker Hub

    Lecture 57 Kubernetes Architecture

    Lecture 58 Kubernetes Pods

    Lecture 59 Services in Kubernetes

    Lecture 60 Service Demo - Cluster IP

    Lecture 61 Service Demo - Node Port

    Lecture 62 Service Demo - Node Port - SSH Tunnel

    Lecture 63 Replicaset in Kubernetes

    Lecture 64 Deployments in Kubernetes

    Lecture 65 Kubernetes Additional Components

    Section 14: Kubernetes Tools

    Lecture 66 HELM3 Installation and Introduction

    Lecture 67 Helm Repo, Charts, Templates Demo

    Section 15: Prometheus and Grafana

    Lecture 68 Prometheus Introduction

    Lecture 69 Prometheus Installation

    Lecture 70 Access Grafana and Prometheus UI

    DevOps Engineers: Professionals who are involved in both development and operations, particularly those focusing on continuous integration and continuous deployment (CI/CD) practices.,Kubernetes Administrators: Individuals responsible for managing and orchestrating containerized applications using Kubernetes.,Software Developers: Developers who are working on building and deploying applications in Kubernetes environments and are interested in implementing progressive delivery techniques.,Site Reliability Engineers (SREs): Engineers focusing on the reliability and scalability of applications in cloud environments, and who are involved in automating operations tasks.,Cloud Architects: Professionals designing cloud infrastructure and services, especially those looking to implement advanced deployment strategies with Kubernetes.,Technical Team Leads: Team leaders or project managers overseeing teams that deploy applications in Kubernetes, who need to understand the deployment strategies and tools involved.