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Chaos Engineering - mitsumi - 15-10-2024 Chaos Engineering Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.53 GB | Duration: 2h 42m Equip yourself with the knowledge and skills to ensure your AWS systems withstand and recover from failures. What you'll learn Chaos Engineering Fundamentals Building a Basic Fault Injection Simulation (FIS) Experiment Introduction to Real-Life Application Chaos Engineering on Compute - EC2 Chaos Engineering on Database - Aurora Chaos Engineering on Serverless - Fargate Chaos Engineering on Kubernetes - EKS Chaos Engineering on Availability Zone Requirements No prior experience or knowledge required - this course is beginner-friendly and covers everything you need to know! Description In today's fast-paced digital landscape, system resilience is vital for businesses of all sizes. "Chaos Engineering" is a comprehensive and hands-on course designed to equip you with the knowledge and skills needed to ensure your systems withstand and recover from failures. From foundational concepts to advanced applications on various AWS services, including EC2, Aurora, Fargate, and EKS, as well as strategies to ensure availability across multiple Availability Zones.What You'll Learn:Chaos Engineering Fundamentals:Understand core principles and the philosophy behind Chaos Engineering.Learn why identifying and addressing system weaknesses through controlled chaos experiments is vital.Explore essential tools and methodologies for implementing Chaos Engineering.Building a Basic Fault Injection Simulation (FIS) Experiment:Gain a step-by-step understanding of constructing and executing your first Fault Injection Simulation (FIS) experiment.Understand how to design experiments targeting different failure modes in a controlled setting.Learn to interpret experiment results and refine your simulations for better accuracy.Introduction to Real-Life Applicationiscover how to apply Chaos Engineering experiments to real-world applications.Learn best practices for monitoring, capturing metrics, and analyzing results to continually improve system resilience.Chaos Engineering on Compute - EC2:Conduct chaos experiments on EC2 instances to evaluate and improve system robustness.Simulate failures, such as instance termination or network latency, and observe impacts.Chaos Engineering on Database - Aurora:Learn to apply Chaos Engineering principles to Amazon Aurora databases.Simulate failures like cluster instability or node outages and develop strategies for seamless recovery.Chaos Engineering on Serverless - Fargate:Conduct chaos experiments on AWS Fargate to test the resilience of your serverless applications.Simulate events like task failures or service downtime to ensure robust serverless architectures.Chaos Engineering on Kubernetes - EKS:Implement Chaos Engineering on Amazon EKS to stress-test Kubernetes clusters.Simulate pod failures, node crashes, and other disruptions to validate recovery mechanisms.Chaos Engineering on Availability Zone:Conduct chaos experiments across different AWS Availability Zones.Test the impact of zone failures and ensure your systems are prepared for multi-availability zone disasters.This course, with its combination of theory, demonstrations, and real-world scenarios, will enable you to build resilient systems capable of withstanding and recovering from unexpected failures efficiently. Join us to master Chaos Engineering and innovate with confidence. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Important Course Resources Section 2: Chaos Engineering Fundamentals Lecture 3 Why Chaos Engineering? Lecture 4 What is Chaos Engineering ? Lecture 5 What is AWS FIS? Lecture 6 FIS Experiments in this Course Lecture 7 Accessing the Quizzes Lecture 8 Quiz - Chaos Engineering Fundamentals Section 3: Building a basic FIS experiment Lecture 9 FIS Permissions Lecture 10 Demo - Create FIS Permissions Lecture 11 Experiment 1-Chaos Engineering on ASG Lecture 12 Built ASG based Architecture Lecture 13 Demo: ASG based Architecture Lecture 14 Create FIS Experiment Lecture 15 Demo - Run FIS Experiment Lecture 16 Demo - Demo - Learning and Improvements Lecture 17 Demo - FIS experiment -CloudWatch Dashboard Lecture 18 Demo - Create FIS Experiment using CF Lecture 19 Quiz- Building_Basis_FIS_experiment Section 4: Introduction to Real life Application Lecture 20 Introduction to our real life application Lecture 21 Pre-requisite to Deploy Application & Cloud 9 Deprecation Lecture 22 Demo: Pre-requisite to Deploy Application Lecture 23 Demo - Setup Architecture and Deploy Application Lecture 24 How to Plan Your Experiment? Part 1 Lecture 25 How to Plan Your Experiment? Part 2 Lecture 26 Establishing Steady State Metrics Using Cloudwatch RUM/X Ray Lecture 27 Demo: Cloud Formation Deployment Lecture 28 Quiz : Introduction to Real Life Application Section 5: Chaos Engineering on Compute - EC2 Lecture 29 Disk Fill Scenario on EC2 Lecture 30 Demo: FIS Experiment - Disk Fill Scenario on EC2 and before metrics in X Ray Lecture 31 Demo: FIS Experiment - After Metrics in X Ray and EC2 instances Lecture 32 Quiz - Chaos Engineering on Compute Section 6: Chaos Engineering on Database - Aurora Lecture 33 Reboot Reader Node Scenario on Aurora Lecture 34 Demo: Pre-requisite for FIS experiment, Create IAM role, and Current State Lecture 35 Demo: Create and Run FIS experiment and After Metrics and DB state Lecture 36 Quiz- Chaos Engineering on Database - Aurora Section 7: Chaos Engineering on Serverless - Fargate Lecture 37 ECS Fargate Experiment Idea and Hypothesis Lecture 38 Demo: Fargate Steady State Lecture 39 Demo: Fargate IAM role creation Lecture 40 Demo: Run experiment Task I/O stress Lecture 41 Demo: Fargate After State and Learning and Improvements Lecture 42 Quiz- Chaos Engineering on Serverless - Fargate Section 8: Chaos Engineering on Kubernetes- EKS Lecture 43 EKS Explanation Lecture 44 Demo: Memory Stress on EKS - Part 1 Lecture 45 Demo: Memory Stress on EKS - Part 2 Lecture 46 Demo: Memory Stress on EKS- Part 3 Lecture 47 Demo: Memory Stress on EKS- Part 4 Lecture 48 Pod Delete on EKS Lecture 49 Demo: Steady State Pod Delete on EKS Lecture 50 Demo: Run Experiment Pod Delete on EKS Lecture 51 Demo: Recheck After Pod Delete on EKS Lecture 52 Quiz- Chaos Engineering on Kubernetes- EKS Section 9: Chaos Engineering on Availability Zone Lecture 53 What is an Availability Zone(AZ)? Lecture 54 Experiment Overview Lecture 55 Demo: General Experiment Setup- AZ Lecture 56 Demo: Prepare Experiment- AZ Lecture 57 Running the Experiment Lecture 58 Quiz- Chaos Engineering on Availability Zone Section 10: Conclusion Lecture 59 Cleanup Process Lecture 60 Conclusion Developers interested in enhancing their systems' resilience.,Site Reliability Engineers (SREs) focused on improving system reliability.,Cloud Engineers managing AWS environments.,Technical Support Engineers specializing in fault-tolerant systems.,Technical Leads overseeing cloud-native application projects. Screenshots Say "Thank You" rapidgator.net: https://rapidgator.net/file/308c6d402f61ca81e4b23dcc8b8e8f3d/bifpt.Chaos.Engineering.part1.rar.html https://rapidgator.net/file/c7eec580623940a849f5a99eca2e9d3c/bifpt.Chaos.Engineering.part2.rar.html ddownload.com: https://ddownload.com/hsa48il84rsd/bifpt.Chaos.Engineering.part1.rar https://ddownload.com/38fkujdv68je/bifpt.Chaos.Engineering.part2.rar