Chris Oldwood discusses what it takes to create robust software: correct error detection and recovery, testing systemic effects, app monitoring and configuration.
Zach Tellman discusses instrumenting and analyzing running systems using real world examples from Factual's production systems.
Alex Papadimoulis conducts a tutorial on delivery and deployment at scale.
Wil Stuckey explains how Etsy manages to deploy nearly ~10,000 changes in one year, and how they run A/B experiments in the midst of continual code change.
Deepak Giridharagopal discusses the Clojure solution implemented for PuppetDB, a centralized storage solution for Puppet.
Graham Brooks explores internal measurements used in a continuous delivery feedback mechanism in order to improve a system's design.
Steve Smith shares some of the change patterns used to establish the Continuous Delivery of 60+ applications at Sky Network Services over the past 2 years, and how they fit into an optimal cycle time strategy.
Dave Farley introduces the ideas of Continuous Delivery as a practical everyday process, using some of the techniques and technologies from a real world project as an example.
Rachel Laycock discusses using a polyglot build and deployment infrastructure that makes life easier.
Charlie Hunt presents the fundamentals of JVM tuning and provides advice for developers on writing a Java application that performs well at runtime.
I'll talk about a few of the monitoring solutions and approaches I've used during my career as a monitoring architect at a large financial services institution, as well as present a few case studies of customers who have managed to make the leap from bigger data to smarter data.
Alex Papadimoulis discusses various deployment strategies, scalable delivery, with examples from real-world organizations such as AllRecipes.com, Twitter, and Google.