7–9 November 2016: Conference & Tutorials
9–10 November 2016: Training
Amsterdam, The Netherlands

Schedule: Resilience engineering sessions

11:50–12:30 Monday, 7/11/2016
Average rating: ****.
(4.33, 9 ratings)
We often hear talks on scale and reliability, mostly based on personal experience and lessons learned. Avishai Ish-Shalom asks what mathematics tells us about reliability and scale. Can math help us scale our systems and companies? It turns out that failure models, probability, statistics, and other domains can help our analysis and provide useful insights Read more.
13:45–14:25 Monday, 7/11/2016
Reimaging DevOps, security, and infrastructure Networking, Resilience engineering Emerald Room & Lounge Audience level: Intermediate
Adam Surák (Algolia)
Average rating: ****.
(4.85, 13 ratings)
Who do you trust? What do you control? What are your dependencies? Reliability on the Internet is an adrenaline-fueled adventure, but we all want a good night sleep and working service sometimes. Adam Surák takes a closer look at some reliability nightmares and explains how they could be dealt with. Read more.
13:45–14:25 Tuesday, 8/11/2016
Liz Rice (Aqua Security)
Average rating: ****.
(4.12, 8 ratings)
Containers start and stop much more quickly than virtual machines, which offers opportunities for scaling services in real time to cope with demand. Liz Rice briefly explains what microscaling is before sharing how taking a fortunately timed MOOC on robotics led her to try out some interesting math in the microscaling code. Read more.
14:40–15:20 Tuesday, 8/11/2016
UX performance Resilience engineering, UX optimization Auditorium (Ground + Balcony) Audience level: Intermediate
Cynthia Mai (Amazon)
Average rating: ***..
(3.80, 30 ratings)
We've been equipped with performance best practices for years. Ever wondered how things would be different if these principles were applied to real-world large-scale systems, especially in a distributed development environment? Cynthia Mai shares case studies of resilience FE engineering from AmazonUI, a centralized frontend library used on the majority of Amazon.com traffic. Read more.