10-15-2024, 11:50 AM
Chaos Engineering
![[Image: b4bf1f3086978245024381fd6b8c40ba.jpeg]](https://i124.fastpic.org/big/2024/1015/ba/b4bf1f3086978245024381fd6b8c40ba.jpeg)
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 Application
iscover 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
![[Image: 23849e1a4a4e3b6bc325bc8840604fcb.jpeg]](https://i124.fastpic.org/big/2024/1015/cb/23849e1a4a4e3b6bc325bc8840604fcb.jpeg)
Say "Thank You"
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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 Application
iscover 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"
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ddownload.com:
