Dylan Beattie discusses the challenges faced restructuring Spotlight so their organization aligns with the natural domain boundaries of their business.
Karthik Ramasamy presents the design and implementation of Heron, the new de facto stream data processing engine at Twitter. Ramasamy shares Twitter’s experience of running Heron in production.
Rachel Reese talks about Jet.com's chaos testing methods and code in depth, but also lays out a path to implementation that everyone can use.
Bhakti Mehta approaches best practices for building resilient, stable and predictable services: preventing cascading failures, timeouts pattern, retry pattern, circuit breakers and other techniques.
Fangjin Yang covers common problems and failures seen with distributed systems, and discusses design patterns that can be used to maintain data integrity and availability when everything goes wrong.
Yongsheng Wu talks about how to build highly-resilient systems at scale. Wu presents also failure cases that prompted engineers at Pinterest to build such systems, and how they test these systems.
Sangeeta Narayanan looks at the role of containers in simplifying and increasing the reliability of the process of releasing and operating the Netflix software.
Kyle Anderson discusses details on how to tie Mesos, Docker, SmartStack, Haproxy, Git, and Sensu all together into a coherent system that developers can use to ship their code in a self-serve way.
Chris Witeck covers key lessons learned by Citrix Labs as they tackle their goal of customer led innovation, discussing empathy mapping which involves showing off an idea and collecting feedback.
Itamar Syn-Hershko shows using various technologies -Storm, Node.js, Riemann, collectd, D3.js, ELK, PagerDuty, Slack - to power Forter’s service and keep it highly available and under control.
Nate Fink shares how Yammer has changed everything from how they structure teams to the role of managers to how they measure progress so they can not only survive but thrive learning.
Ted Young shares his experience having to build their own solution or choosing an open source project in its infancy, the problems encountered and how they solved them.