"Outperforming in the Chaotic World!"
summary
Argues that matching hardware alone fails and shows how to recreate chaotic field conditions by injecting real network variability (Jio SIMs mentioned), load spikes from events like elections or streaming, and testing against a minimal acceptable benchmark so failures are measurable; recommends sizing hardware, using the right tooling and infrastructure, combining load, chaos and functional techniques to uncover ~3000 real-world failure modes and verify SLAs, essentially to test under realistic field conditions.
AI-written summary · about
related talks
36mSimulating the Chaos of Real-World Networks for Resilient Applications
25mLet's Get Ready for Chaotic Engineering
37mUse Chaos Testing to Build Resilience in the Software
15mChaos - Does It Need to Be Included in Test Strategy?
39mWhy SREs can't afford to NOT do Chaos Engineering
19mLearnings from Chaos experiments
26mLightning Talk: Think Like a Chaos Engineer: Simulating User Anomalies the Litmus Way
29mMaking Sense of Chaos: Implementing Chaos Engineering in a Fintech...