Building Self-Adaptive Autonomous Infrastructure
summary
Argues that web performance requires a closed feedback loop that collects real-time metrics, stores them in a scalable datastore, runs data‑science models and policy checks in a frontend processing engine, then emits signals to an orchestration layer that scales up or down automatically. Cites surprise failures — the 2012 Olympics ticket site falling over with tens of thousands of users and healthcare.gov collapsing under millions — to justify moving beyond manual DevOps to self‑adaptive autonomous infrastructure.
AI-written summary · about
chapters (6)
- 0:00Intro
- 0:19SelfAdaptive Autonomous Infrastructure
- 0:51Web Performance
- 2:56What is SelfAdaptive Autonomous
- 3:24How SelfAdaptive Autonomous Works
- 4:17Conclusion
related talks
31mEvolving performance assurance
14mPlatform Engineering with Self-Healing AWS Infra
05mAutomating Cloud-Native Infra with Intelligent Tools
32mDistributed DevOps
41mLessons from Mission-Critical Systems in Fast-Moving Industries
32mOps in the Time of Serverless Containerized Webscale
41mPerformance Engineering in the Age of DevOps and Agile
14mAntifragility or taming the hydra
