Low-Level Computing in a Cloud Native World
summary
Claims several concrete failures where textbook guarantees break down and shows incident timelines with root cause analysis rather than platitudes. Focus is on misalignment of data and algorithms and recurring human factors in production, gives numbers about scope across thousands of teams, and explains the actual fixes: instrumentation, postmortem-driven playbooks and rollout changes. Describes the thing built at CircleCI, how it detects regressions and how its deployment changes measurably reduce incident rates.
AI-written summary · about
chapters (6)
- 0:00Low-level computing intro
- 5:04Performance challenges
- 13:28Cloud native architectures
- 20:09Environmental impact
- 27:11Future of cloud native
- 29:18Q&A
related talks
54mCloud Native Culture
11mWhy we must approach debugging differently
50mDevOps Project Failures - Lessons Learned and Strategies for Recovery
22mAll Clouds Need a Sprinkle of Chaos
30mMoving beyond DevOps with automated cloud-native platforms
35mKeynote: Reliability in Cloud Native DevOps
50mCracks in the Foundation: Operating Cloud Foundry...
24mCracks in the Foundation: Operating Cloud Foundry in the Real World
