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.

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8 项作业
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该课程共有8个模块
This modules introduces chaos engineering and guide syou through applying it using AWS Fault Injection Simulator (FIS) to build more resilient systems. You’ll learn the core concepts and value of chaos engineering, explore FIS features and sample experiments, then follow a step-by-step process to set up and run a basic FIS experiment—including creating permissions, building an Auto Scaling Group (ASG) architecture, executing experiments, and monitoring results with Amazon CloudWatch. Practical demonstrations and quizzes throughout reinforce the key concepts and skills.
涵盖的内容
17个视频2篇阅读材料2个作业
17个视频• 总计46分钟
- Course Introduction• 3分钟
- Why Chaos Engineering?• 4分钟
- What is Chaos Engineering ?• 4分钟
- What is AWS FIS?• 2分钟
- FIS Experiments in this Course• 2分钟
- FIS Permissions• 1分钟
- Demo - Create FIS Permissions• 3分钟
- Experiment 1-Chaos Engineering on ASG• 1分钟
- Build ASG based Architecture• 1分钟
- Demo: ASG based Architecture• 4分钟
- Create FIS Experiment• 1分钟
- Demo - Create FIS Experiment• 6分钟
- Demo - Run FIS Experiment• 6分钟
- Demo - Learning and Improvements• 6分钟
- Demo - FIS Experiment - CloudWatch Dashboard• 1分钟
- Demo - FIS experiment -CloudWatch Dashboard• 1分钟
- Demo - Create FIS Experiment using CF• 3分钟
2篇阅读材料• 总计20分钟
- About the Course• 10分钟
- Course Resources & Engage with Community • 10分钟
2个作业• 总计30分钟
- Quiz - Chaos Engineering Fundamentals• 15分钟
- Quiz - Basic FIS experiment• 15分钟
The Introduction to Real Life Application module provides an overview of deploying and setting up a real-world application to use in chaos engineering experiments. Learners will understand the prerequisites, set up architecture, deploy the application, and establish steady-state metrics using CloudWatch RUM and X-Ray. Planning effective experiments and deploying using CloudFormation will also be demonstrated, followed by a quiz to reinforce key concepts.
涵盖的内容
8个视频1个作业
8个视频• 总计36分钟
- Introduction to our real life application• 5分钟
- Pre-requisite to Deploy Application & Cloud 9 Deprecation• 2分钟
- Demo: Pre-requisite to Deploy Application• 11分钟
- Demo - Setup Architecture and Deploy Application• 3分钟
- How to Plan Your Experiment? Part 1• 3分钟
- How to Plan Your Experiment? Part 2• 3分钟
- Establishing Steady State Metrics Using Cloudwatch RUM/X Ray• 3分钟
- Demo: Cloud Formation Deployment• 6分钟
1个作业• 总计30分钟
- Quiz - Introduction to Real life Application• 30分钟
The Chaos Engineering on Compute - EC2 module focuses on executing chaos engineering experiments on EC2 instances, specifically simulating disk fill scenarios. Learners will gain practical experience by observing system behavior and metrics before and after running FIS experiments, using tools like X-Ray for monitoring. The module concludes with a quiz to test understanding of key concepts.
涵盖的内容
3个视频1个作业
3个视频• 总计11分钟
- Disk Fill Scenario on EC2• 2分钟
- Demo: FIS Experiment - Disk Fill Scenario on EC2 and before metrics in X Ray• 7分钟
- Demo: FIS Experiment - After Metrics in X Ray and EC2 instances• 2分钟
1个作业• 总计15分钟
- Quiz - Chaos Engineering on Compute - EC2• 15分钟
The Chaos Engineering on Database - Aurora module explores conducting chaos engineering experiments on Amazon Aurora databases, focusing on a reader node reboot scenario. Learners will be guided through setting up prerequisites, creating necessary IAM roles, and executing FIS experiments. The module includes demonstrations on monitoring database state and metrics post-experiment and ends with a quiz to reinforce learning.
涵盖的内容
3个视频1个作业
3个视频• 总计9分钟
- Reboot Reader Node Scenario on Aurora• 2分钟
- Demo: Pre-requisite for FIS experiment, Create IAM role, and Current State• 3分钟
- Demo: Create and Run FIS experiment and After Metrics and DB state • 4分钟
1个作业• 总计15分钟
- Quiz- Chaos Engineering on Database - Aurora• 15分钟
The Chaos Engineering on Serverless - Fargate module delves into applying chaos engineering techniques to serverless architectures, with a focus on Amazon ECS Fargate. Learners will explore experiment design and hypothesis formation, setting up steady-state conditions, and executing an I/O stress test. The module will feature demos for IAM role creation and post-experiment analysis, concluding with a quiz to reinforce understanding.
涵盖的内容
5个视频1个作业
5个视频• 总计11分钟
- ECS Fargate Experiment Idea and Hypothesis• 2分钟
- Demo: Fargate Steady State• 1分钟
- Demo: Fargate IAM role creation • 2分钟
- Demo: Run experiment Task I/O stress• 3分钟
- Demo: Fargate After State and Learning and Improvements • 3分钟
1个作业• 总计15分钟
- Quiz- Chaos Engineering on Serverless - Fargate• 15分钟
The Chaos Engineering on Kubernetes - EKS module covers the application of chaos engineering principles to Amazon EKS (Elastic Kubernetes Service). Learners will gain insights into running memory stress and pod deletion experiments to test and improve the resilience of Kubernetes clusters. The module includes detailed demonstrations of experiment execution and post-experiment analysis, followed by a quiz to assess knowledge retention.
涵盖的内容
9个视频1个作业
9个视频• 总计20分钟
- EKS Explanation • 2分钟
- Demo: Memory Stress on EKS - Part 1 • 4分钟
- Demo: Memory Stress on EKS - Part 2• 2分钟
- Demo: Memory Stress on EKS- Part 3 • 3分钟
- Demo: Memory Stress on EKS- Part 4• 2分钟
- Pod Delete on EKS• 2分钟
- Demo: Steady State Pod Delete on EKS• 2分钟
- Demo: Run Experiment Pod Delete on EKS• 2分钟
- Demo: Recheck After Pod Delete on EKS • 2分钟
1个作业• 总计15分钟
- Quiz- Chaos Engineering on Kubernetes- EKS• 15分钟
The Chaos Engineering on Availability Zone module focuses on conducting chaos experiments to test the resilience of applications across different Availability Zones (AZs). Learners will understand the significance of AZs and follow guided demonstrations on setting up, preparing, and executing experiments to evaluate system behavior under stress. The module concludes with a quiz to consolidate learning.
涵盖的内容
5个视频1个作业
5个视频• 总计22分钟
- What is an Availability Zone(AZ)?• 3分钟
- Experiment Overview• 3分钟
- Demo: General Experiment Setup- AZ• 3分钟
- Demo: Prepare Experiment- AZ• 4分钟
- Running the Experiment• 8分钟
1个作业• 总计15分钟
- Quiz- Chaos Engineering on Availability Zone• 15分钟
The Conclusion module provides a final review of the chaos engineering practices covered throughout the course and emphasizes the importance of a thorough cleanup process.
涵盖的内容
2个视频
2个视频• 总计8分钟
- Cleanup Process• 7分钟
- Conclusion• 1分钟
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At KodeKloud, we are driven by a singular vision – to revolutionize DevOps education by making it practical, accessible, and directly aligned with the real-world challenges of IT professionals. Our mission is to provide just-in-time learning solutions and foster career advancement in the ever-evolving landscape of DevOps and IT. KodeKloud is an innovative online learning platform dedicated to offering the most effective, hands-on experience in DevOps education. Founded by industry experts, we have quickly become a go-to resource for professionals looking to enhance their skills, solve immediate technical challenges, and accelerate their career growth.
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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