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所在平台: Udemy |
课程主页: https://www.udemy.com/course/chaos-engineering/
课程评论：没有评论
Chaos Engineering 课程总结 本课程“Chaos Engineering”旨在帮助学员掌握构建和维护高可用性系统的关键技能。在当今快速变化的数字环境中，系统韧性至关重要。本课程将深入介绍 Chaos Engineering 的核心原理和理念，阐述为何通过有控制的混沌实验来识别和解决系统弱点至关重要，并探索实施 Chaos Engineering 的必备工具和方法。 课程将引导学员构建一个基础的故障注入模拟（FIS）实验，从头学习如何构建和执行实验，设计针对不同故障模式的实验，以及如何解读结果并优化模拟。 此外，课程还将涵盖 Chaos Engineering 在真实应用中的实践，包括最佳监控、指标收集和结果分析的学习，以持续提升系统韧性。 具体的实践环节将涵盖在多种 AWS 服务上的应用： * **计算 (EC2):** 在 EC2 实例上进行混沌实验，评估和改进系统健壮性，模拟实例终止或网络延迟等故障。 * **数据库 (Aurora):** 将 Chaos Engineering 应用于 Aurora 数据库，模拟集群不稳定或节点故障，并制定无缝恢复策略。 * **无服务器 (Fargate):** 在 Fargate 上进行混沌实验，测试无服务器应用的韧性，模拟任务失败或服务停机。 * **Kubernetes (EKS):** 在 EKS 上实施 Chaos Engineering，压力测试 Kubernetes 集群，模拟 Pod 故障、节点崩溃等，以验证恢复机制。 * **可用区 (Availability Zone):** 跨不同 AWS 可用区进行混沌实验，测试可用区故障的影响，确保系统已为多可用区灾难做好准备。 通过理论、演示和真实场景的结合，本课程将使学员能够有效地构建能够承受和从意外故障中恢复的高韧性系统。加入这门课程，掌握 Chaos Engineering，自信地进行创新。
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:Discover 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.
