Phillip Trelford shows through live demos data structures that are orders of magnitude more performant than lists.
Ben Watson provides a deep-dive introduction to what you need to know to squeeze out the ultimate performance from your .NET code, along with war stories from building the Bing platform query engine.
S Maldini, G Renfro and D Turanski dissect a Spring XD app to show design patterns and techniques for getting the highest throughput and lowest resource utilization in streaming apps.
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.
Ian Cooper looks at Service Discovery and Clustering approaches and tools, and shows .NET developers how to work with tools such as Serf, Consul, and Zookeeper.
Yves Reynhout discusses models, how they're created and tested against scenarios, how they're useful, what distinguishes them from others, how they're visualized and communicated, etc.
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.
Charlie Hunt explains the three performance attributes of throughput, latency and (memory) footprint and how each of these are influenced in terms of JVM garbage collection.
Travis Reeder thinks performance, memory, concurrency, reliability, and deployment are key to exploring Go and its value in production. Travis describes how it’s worked for Iron.io.
Dean Leffingwell describes the values, principles and practices of the Scaled Agile Framework, how it is delivering faster time-to-market, more engagement, higher quality, and increased productivity.
Brian Holt talks about React, performance issues, some general web performance tips, lessons learned while helping write m.reddit.com using React.
Mark Lines keynotes on the Disciplined Agile Delivery (DAD) framework, scaling an Agile strategy, and practices for successfully scaling Agile.