A proactive approach to resilience in modern apps
summary
Shows a hands‑on pipeline: register a serverless app in AWS Resilience Hub, run a scheduled assessment that flags a missing DynamoDB point‑in‑time backup, then use Fault Injection Service to add 2,000 ms added latency to 100% of Lambda invocations for 10 minutes and to inject 500 errors into 50% of API calls while load tests and dashboards run. Demonstrates fallbacks, circuit breaker and DLQ behavior, and cites a 90% reduction in Lambda incident response time from using chaos engineering.
AI-written summary · about
chapters (10)
- 0:00Introduction and Audience Poll
- 0:30Understanding Modern Application Resilience
- 3:08Key Characteristics of Modern Applications
- 4:59Challenges in Modern Application Deployment
- 7:10Introduction to Chaos Engineering
- 9:21Chaos Engineering in Practice
- 12:20AWS Resilience Hub and Fault Injection Service
- 17:17Practical Demonstration of Resilience Testing
- 21:58Generative AI for Resilience Recommendations
- 25:11Conclusion and Final Thoughts
related talks
26mImprove application resilience with chaos engineering
33mImprove resilience with automated chaos engineering
35mImprove resilience with automated chaos engineering
34mChaos engineering for serverless
29mImprove Resilience with automated chaos engineering
44mApplying principles of chaos engineering to serverless
55mEngineer application resilience with compliance in mind
20mResilient and well-architected apps with chaos
