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Chaos Engineering

Build resilient systems by breaking them. Learn to design and run chaos experiments using Gremlin and Chaos Mesh to prevent outages.

Hope is not a strategy. Chaos Engineering involves injecting controlled failure into systems to proactively identify weaknesses. This course teaches the scientific method of chaos: forming a hypothesis, running an experiment, and analyzing the blast radius. You will learn to simulate network latency, pod failures, and CPU spikes using tools like Gremlin and Chaos Mesh. Essential for SREs who want to ensure their systems survive the unpredictability of production.

100% Free & Lifetime Access
⏱️ 5-Minute Lessons (Bite-sized learning)
🚀 21-Lesson Path (Independent modules)
📱 Mobile Friendly (Learn anywhere)
Chaos Team
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Secure Enrollment via SSL

Complete Course Syllabus

  • 1
    Chaos Principles
    The scientific method applied to system reliability.
  • 2
    Planning Experiments
    Defining steady state, hypothesis, and abort conditions.
  • 3
    Infrastructure Attacks
    Simulating server shutdowns and CPU spikes.
  • 4
    Network Attacks
    Injecting latency, packet loss, and DNS failures.
  • 5
    Game Days
    Running organized chaos events with the team.

Estimated completion time: 21 lessons • Self-paced learning • Lifetime access

Career Outlook

Estimated Salary
$130k - $180k

Career Paths

Chaos Engineer $140k-$190k
Site Reliability Eng $130k-$175k
Resilience Architect $150k-$200k

What You Will Learn

Design safe chaos experiments with defined blast radiuses
Inject faults like latency, packet loss, and resource exhaustion
Analyze system behavior during failure to improve observability
Automate chaos experiments in CI/CD pipelines
Cultivate a culture of resilience and blameless post-mortems

Skills You Will Gain

Resilience Engineering Fault Injection Experiment Design SRE Practices Observability

Who Is This For

SREs
Platform Engineers
System Architects

Prerequisites

DevOps Basics
Monitoring tools

Chaos Engineering FAQs

Production?

Start in Staging, eventually move to Production.

Is it dangerous?

We teach safety mechanisms like 'Big Red Buttons'.

Tools cost?

Open source options (Chaos Mesh) are powerful.

Coding?

Yes, usually defining experiments as code (YAML).

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