Gabriel Monroy demonstrates using Deis to orchestrate Docker deployments, as well as Deis' integration with popular schedulers like Fleet, Mesos, and Kubernetes.
Bart De Smet explains what it took to bring the concepts of Reactive Extensions (Rx) to the cloud to deal with latency, scale, reliability, and other concerns.
Scott Ambler describes how to evolve from today’s vision of agile to a truly disciplined agile enterprise, exploring what it means to scale strategies at the project level and across an organization.
Michael Widenius walks through the features of MariaDB 10.0 and 10.1, outlining the performance benefits resulting from switching to MariaDB.
Stuart Williams takes a walk through the RTI architecture and explains how Spring performs at hundreds (and millions) of events/operations per second.
Todd Montgomery discusses how Java 8 has faired with a few new high performance network projects.
Armon Dadgar presents Consul, a distributed control plane for the datacenter. Armon demonstrates how Consul can be used to build, configure, monitor, and orchestrate distributed systems.
Alexis Hui, Raj Mudhar share the experience of a large organization that became agile, having 50 scrum teams across 5 locations and delivering an integrated product with a 2 weeks release cycle.
Grant Shipley deploys an application to the cloud and then turns up the heat by leveraging the right mix of elasticity and auto-scaling.
Rifat Shahriyar, Steve Blackburn, Kathryn McKinley show that conservative garbage collectors using Immix can be as performant and sometimes even faster than generational GCs.
Randy Shoup tells war stories from Google and eBay focusing on how to scale code, infrastructure, performance, and operations, along with hard-won lessons learned in scaling them.
Liz Keogh discusses breaking down requirements without going into too much detail combined with complexity estimation for easy planning, dependency management, and prioritization.
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