Long Zhang PhD Student @ KTH Royal Institute of Technology Slides: https://drive.google.com/file/d/1b2Ieauz2FB5ylSfmnk_AzlujOE6uZI2D/view?usp=sharing Some of the perturbation models for chaos engineering are based on a random strategy such as ChaosMonkey. However, realistic perturbations could also come from errors that have naturally happened in production. I would like to share more about how to improve the realism for CE experiments. — 0:00 Intro 0:26 Talk — 🥇 Gold Sponsor: StackPulse 🥈 Silver Sponsors: Aval Digital Labs BoomerTechnologyGroup bxblue Certus Cybersecurity Chaos Native CrowdSec bol.com effx FireHydrant GoCardless Gremlin Locelle Nuaware PagerDuty Zühlke Group 7bulls.com 🤝 Media Partners: The New Stack Manning AWS Inside Dev — Website 🚀🪐 https://www.conf42.com Reach out 📧📭 mark@conf42.com Conf42 Discord 🧑‍🤝‍🧑💬 https://discord.com/invite/dT6ZsFJ5ZM LinkedIn 👨‍💼💼 https://www.linkedin.com/company/49110720/ Twitter 🎵🐦https://twitter.com/conf42com Conf42Cast @ Spotify 🎧 https://tinyurl.com/bnyj6a8y