Scaling Reliability Engineering with Tools
summary
Company builds a chaos platform around the open-source kiosk controller, exposing a spinnaker custom stage that runs experiments across an agent per cluster, supporting state, resource, network and request-level faults, consolidating 20+ prior tools and targeting hundreds of clusters. A separate failover as a service deploys a mini agent that listens on a message queue and either edits Route53 or programs Istio to shift traffic (including gradual and immediate shifts), scales infra, supports custom hooks, and runs in production.
AI-written summary · about
chapters (4)
- 0:00Start
- 1:24Intro - Reliability Engineering Models
- 7:30Intro - Benefits of Common Tools
- 8:43Choos Engineering Concepts
related talks
19mChaos Engineering at Scale
46mChaos Experiments - Datacenter Stress Testing
18mFostering Chaos Engineering Culture
25mBuilding a highly scalable system to assure Business Resilience
39mResilience & Chaos Engineering in the Cloud
48mChaos Engineering: The Path to Reliability
27mContinuous Reliability. How?
46mEmbracing Collaborative Chaos: Chaos Days on Large Platforms
