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Chaos Engineering
Coursera
Course
Unknown

Chaos Engineering

KodeKloud

Comprehensive course teaching core chaos engineering principles to build resilient systems, handle failures, and use advanced AWS services effectively.

Unknown8 weeksKK, Arabic, German, UZ

About this Course

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. Target Audience: - 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. 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

What You'll Learn

  • Understand core principles of chaos engineering
  • Apply the philosophy of controlled chaos testing
  • Identify system weaknesses through experiments
  • Use essential tools and methodologies for chaos engineering
  • Implement strategies for system availability across zones

Prerequisites

  • Basic computer and internet skills
  • Ability to read English instructions and complete exercises

Instructors

N

Nasia Ullas

Topics

Software Development
Computer Science
Cloud Computing
Information Technology
Performance Testing
AWS Identity and Access Management (IAM)
Continuous Delivery
Infrastructure as Code (IaC)
Site Reliability Engineering
Serverless Computing

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تطوير البرمجيات
علوم الحاسوب
الحوسبة السحابية
تكنولوجيا المعلومات
اختبار الأداء
إدارة هوية AWS
التسليم المستمر
البنية التحتية كرمز
Site Reliability Engineering
Serverless Computing

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