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
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
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
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
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
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
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
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
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